├── sample ├── top-20-websites-2020.png ├── top-20-websites-2020.xlsx ├── top-20-websites-2020.txt └── top-20-websites-2020.json ├── setup.py ├── .gitignore ├── README.md ├── masswappalyzer.py └── LICENSE /sample/top-20-websites-2020.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/tristanlatr/MassWappalyzer/HEAD/sample/top-20-websites-2020.png -------------------------------------------------------------------------------- /sample/top-20-websites-2020.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/tristanlatr/MassWappalyzer/HEAD/sample/top-20-websites-2020.xlsx -------------------------------------------------------------------------------- /sample/top-20-websites-2020.txt: -------------------------------------------------------------------------------- 1 | youtube.com 2 | en.wikipedia.org 3 | twitter.com 4 | facebook.com 5 | amazon.com 6 | yelp.com 7 | reddit.com 8 | imdb.com 9 | fandom.com 10 | pinterest.com 11 | tripadvisor.com 12 | instagram.com 13 | walmart.com 14 | craigslist.org 15 | ebay.com 16 | linkedin.com 17 | play.google.com 18 | healthline.com 19 | etsy.com 20 | indeed.com -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | 2 | #! /usr/bin/env python3 3 | from setuptools import setup 4 | import sys 5 | if sys.version_info[0] < 3: raise RuntimeError("Sorry, you must use Python 3") 6 | # The directory containing this file 7 | import pathlib 8 | HERE = pathlib.Path(__file__).parent 9 | # The text of the README file 10 | README = (HERE / "README.md").read_text() 11 | setup( 12 | name = 'masswappalyzer', 13 | description = "Run Wappalyzer asynchronously on a list of URLs and generate a Excel file containing all results.", 14 | url = "https://github.com/tristanlatr/MassWappalyzer", 15 | maintainer = "tristanlatr", 16 | version = '1.7', 17 | entry_points = {'console_scripts': ['masswappalyzer = masswappalyzer:main'],}, 18 | py_modules = ['masswappalyzer'], 19 | classifiers = ["Programming Language :: Python :: 3"], 20 | license = 'Apache License 2.0', 21 | long_description = README, 22 | long_description_content_type = "text/markdown", 23 | install_requires = ['XlsxWriter', 'tqdm', 'pandas'] 24 | ) 25 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Mass Wappalyzer 2 | 3 | Run [Wappalyzer](https://github.com/aliasio/wappalyzer) asynchronously on a list of URLs and generate a Excel file containing all results. 4 | 5 | The generated Excel file will have 2 sheets. 6 | 7 | First sheet contains one column per technology seen and one row per analyzed website, additionnaly, a `"Url"` column will aways be present. 8 | 9 | Second sheet contains one column per analyzed website and one row per seen technology. 10 | 11 | CSV and JSON format are also supported. 12 | 13 | ### Install 14 | 15 | Install **Python module** 16 | 17 | python3 -m pip install -U git+https://github.com/tristanlatr/MassWappalyzer.git 18 | 19 | ### Requirements 20 | 21 | - **Wappalyzer CLI** if you want to use the official Javascript Wappalyzer CLI (shows more details and configurable with `--wappalyzerargs`) 22 | 23 | - [Docker](https://hub.docker.com/r/wappalyzer/cli/), pull image with `docker pull wappalyzer/cli` 24 | 25 | - [NPM](https://www.npmjs.com/package/wappalyzer), install with `npm i -g wappalyzer` 26 | 27 | - **None** if you use the full-python Wappalyzer implementation: [python-Wappalyzer](https://github.com/chorsley/python-Wappalyzer) 28 | 29 | *MassWappalyzer should detect if Wappalyzer CLI is installed and use appropriate implementation* 30 | 31 | ### Usage 32 | 33 | python3 -m masswappalyzer -i sample/top-20-websites-2020.txt -o sample/top-20-websites-2020.xlsx 34 | 35 | Output: 36 | ``` 37 | Mass Wappalyzer 38 | Using wappalyzer/cli: docker run --rm wappalyzer/cli 39 | Analyzing...: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:46<00:00, 2.31s/it] 40 | All technologies seen: 41 | ['AWSCertificateManager', 'Akamai', 'AkamaiBotManager', 'AmazonCloudfront', 'AmazonWebServices', 'Apache', 'AppleSignin', 'Babel', 'Bootstrap', 'BugSnag', 'CartFunctionality', 'DigiCert', 'DoubleClickforPublishersDFP', 'Envoy', 'Express', 'Facebook', 'FacebookSignin', 'Fastly', 'GoogleAnalytics', 'GoogleFontAPI', 'GoogleSignin', 'GoogleTagManager', 'GoogleWorkspace', 'Hammerjs', 'Hoganjs', 'Lodash', 'MediaWiki', 'Microsoft365', 'MobX', 'Nextjs', 'Nginx', 'Nodejs', 'OneTrust', 'PHP', 'Polyfill', 'Polymer', 'Prebid', 'Python', 'React', 'Reddit', 'RequireJS', 'Sentry', 'Sizmek', 'Stripe', 'Underscorejs', 'Varnish', 'YouTube', 'Zipkin', 'comScore', 'jQuery', 'reCAPTCHA', 'webpack'] 42 | Creating Excel file sample/top-20-websites-2020.xlsx 43 | Done 44 | ``` 45 | 46 | ### Excel file 47 | 48 | ![Excel file](https://raw.githubusercontent.com/tristanlatr/MassWappalyzer/master/sample/top-20-websites-2020.png "Excel file") 49 | 50 | ### Full help 51 | 52 | ``` 53 | usage: python3 -m masswappalyzer [-h] -i Input file [-o Output file] 54 | [-f Format] [-w Wappalyzer path] 55 | [-c Wappalyzer arguments] [-a Number] [-p] 56 | [-v] 57 | 58 | Run Wappalyzer asynchronously on a list of URLs and generate a Excel file 59 | containing all results. 60 | 61 | optional arguments: 62 | -h, --help show this help message and exit 63 | -i Input file, --inputfile Input file 64 | Input file, the file must contain 1 host URL per line. 65 | (default: None) 66 | -o Output file, --outputfile Output file 67 | Output file containning all Wappalyzer informations. 68 | (default: MassWappalyzerResults) 69 | -f Format, --outputformat Format 70 | Indicate output format. Choices: 'xlsx', 'csv', 71 | 'json'. (default: xlsx) 72 | -w Wappalyzer path, --wappalyzerpath Wappalyzer path 73 | Indicate the path to the Wappalyzer CLI executable. 74 | Auto detect by default. Use "python-Wappalyzer" if 75 | Wappalyzer CLI not found. (default: None) 76 | -c Wappalyzer arguments, --wappalyzerargs Wappalyzer arguments 77 | Indicate the arguments of the Wappalyzer CLI command 78 | as string. Not applicable if using "python- 79 | Wappalyzer". (default: --pretty --probe --user- 80 | agent="Mozilla/5.0") 81 | -a Number, --asynch_workers Number 82 | Number of websites to analyze at the same time 83 | (default: 5) 84 | -p, --python Use full Python Wappalyzer implementation "python- 85 | Wappalyzer" even if Wappalyzer CLI is installed with 86 | NPM or docker. (default: False) 87 | ``` 88 | -------------------------------------------------------------------------------- /masswappalyzer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | # Run Wappalyzer asynchronously on a list of URLs and generate an output file (Excel, CSV, or JSON) containing all results. 4 | 5 | import argparse 6 | import os 7 | import subprocess 8 | import json 9 | import shlex 10 | from typing import List, Optional 11 | from urllib.parse import urlparse 12 | import tempfile 13 | import functools 14 | import concurrent.futures 15 | import re 16 | import shutil 17 | import csv 18 | import copy 19 | import traceback 20 | 21 | import pandas as pd 22 | import xlsxwriter 23 | import tqdm 24 | 25 | ##### Static methods 26 | 27 | def ensure_keys(dictionnary:dict, keys:list, default="") -> dict: 28 | for k in keys: 29 | dictionnary.setdefault(k, default) 30 | return dictionnary 31 | 32 | def get_valid_filename(s:str) -> str: 33 | '''Return the given string converted to a string that can be used for a clean filename. Stolen from Django I think''' 34 | s = str(s).strip().replace(' ', '_') 35 | return re.sub(r'(?u)[^-\w.]', '', s) 36 | 37 | def clean(s:str) -> str: 38 | # Remove invalid characters 39 | s = re.sub('[^0-9a-zA-Z_]', '', s) 40 | # Remove leading characters until we find a letter or underscore 41 | s = re.sub('^[^a-zA-Z_]+', '', s) 42 | if s.isnumeric(): s = '_' + s 43 | return s 44 | 45 | def _fill_xlsx_worksheet(elements, worksheet, headers=None, index_column=None): 46 | if not headers: 47 | headers={ key:str(key).title() for key in elements[0].keys() } 48 | # Recreate header, insert index_column first if specified 49 | if index_column: 50 | old_headers = copy.deepcopy(headers) 51 | old_headers.pop(index_column) 52 | headers=dict() 53 | headers[index_column]=index_column.title() 54 | headers.update(old_headers) 55 | worksheet.write_row(row=0, col=0, data=headers.values()) 56 | header_keys = [ k for k in headers ] 57 | for index, item in enumerate(elements): 58 | row = map(lambda field_id: str(item.get(field_id, '')), header_keys) 59 | worksheet.write_row(row=index + 1, col=0, data=row) 60 | worksheet.autofilter(0, 0, len(elements)-1, len(headers.keys())-1) 61 | 62 | def get_xlsx_file(items, index_column, headers=None): 63 | """ 64 | Argments: 65 | - items: list of dict 66 | - headers: dict like {'key':'Key nice title for Excel'}. Leave None to auto generate 67 | - index_column: str. The column name will be placed on the top left side. 68 | Case sensitive. str.title() will be then applied. Should work since python 3.7 . 69 | 70 | Return excel file as tempfile.NamedTemporaryFile 71 | Return None if xlsxwriter is not installed 72 | """ 73 | with tempfile.NamedTemporaryFile(delete=False) as excel_file: 74 | 75 | with xlsxwriter.Workbook(excel_file.name) as workbook: 76 | # Ensure all item share the same set of keys 77 | all_keys = set() 78 | for i in items: [ all_keys.add(clean(str(k))) for k in i ] 79 | 80 | elements = [ ensure_keys({ clean(str(k)):v for k,v in element.items() }, all_keys) for element in items ] 81 | 82 | worksheet = workbook.add_worksheet() 83 | _fill_xlsx_worksheet(elements, worksheet, headers, index_column) 84 | 85 | # Creates DataFrame and write the transposed data to Excel file. 86 | headers_title = [ e[index_column] for e in elements ] 87 | new_elements = copy.deepcopy(elements) 88 | [ e.pop(index_column) for e in new_elements ] 89 | df = pd.DataFrame(new_elements, index=headers_title) 90 | transposed_data = df.transpose().reset_index().to_dict('records') 91 | new_worksheet = workbook.add_worksheet() 92 | _fill_xlsx_worksheet(transposed_data, new_worksheet) 93 | 94 | return excel_file 95 | 96 | def async_do(func, data, func_args=None, asynch=False, workers=None , progress=False, desc='Loading...'): 97 | """ 98 | Wrapper arround executable and the data list object. 99 | Will execute the callable on each object of the list. 100 | Parameters: 101 | 102 | - `func`: Callable function. func is going to be called like `func(item, **func_args)` on all items in data. 103 | - `data`: Call func on each element if the list. 104 | - `func_args`: dict that will be passed by default to func in all calls. 105 | - `asynch`: execute the task asynchronously 106 | - `workers`: mandatory if asynch is true. 107 | - `progress`: to show progress bar with ETA (if tqdm installed). 108 | - `desc`: Message to print if progress=True 109 | Returns a list of returned results 110 | """ 111 | if not callable(func) : 112 | raise ValueError('func must be callable') 113 | #Setting the arguments on the function 114 | func = functools.partial(func, **(func_args if func_args is not None else {})) 115 | #The data returned by function 116 | returned=list() 117 | elements=data 118 | tqdm_args=dict() 119 | #The message will appear on loading bar if progress is True 120 | if progress is True : 121 | tqdm_args=dict(desc=desc, total=len(elements)) 122 | #Runs the callable on list on executor or by iterating 123 | if asynch == True : 124 | if isinstance(workers, int) : 125 | if progress==True : 126 | returned=list(tqdm.tqdm(concurrent.futures.ThreadPoolExecutor( 127 | max_workers=workers ).map( 128 | func, elements), **tqdm_args)) 129 | else: 130 | returned=list(concurrent.futures.ThreadPoolExecutor( 131 | max_workers=workers ).map( 132 | func, elements)) 133 | else: 134 | raise AttributeError('When asynch == True : You must specify a integer value for workers') 135 | else : 136 | if progress==True: 137 | elements=tqdm.tqdm(elements, **tqdm_args) 138 | for index_or_item in elements: 139 | returned.append(func(index_or_item)) 140 | return(returned) 141 | 142 | def file_to_list(path): 143 | the_list=list() 144 | with open(path , 'r', encoding='utf-8') as the_file: 145 | for line in the_file.readlines() : 146 | item=str(line).strip() 147 | if(len(item)>0 and item[0]!='#' and item[0]!=';'): 148 | the_list.append(item) 149 | return(the_list) 150 | 151 | def ensure_scheme(url:str) -> str: 152 | # Strip URL string 153 | url=url.strip() 154 | # Format URL with scheme indication if not already present 155 | p_url=list(urlparse(url)) 156 | if p_url[0]=="": 157 | url='http://'+url 158 | return url 159 | 160 | 161 | ##### Core 162 | 163 | class Technology: 164 | """ 165 | A detected technology. 166 | """ 167 | def __init__(self, url:str, name:str, version:Optional[str]=None) -> None: 168 | self.url = url 169 | self.name = name 170 | self.version: Optional[str] = version 171 | 172 | class IWappalyzer: 173 | def analyze(self, host) -> List[Technology]: 174 | ... 175 | 176 | class PythonWappalyzer(IWappalyzer): 177 | 178 | def __init__(self) -> None: 179 | try: 180 | import Wappalyzer 181 | except ImportError: 182 | print("Please install python-Wappalyzer.") 183 | exit(1) 184 | 185 | self.Wappalyzer = Wappalyzer 186 | self._wappalyzer = self.Wappalyzer.Wappalyzer.latest(update=True) 187 | 188 | def analyze(self, host:str) -> List[Technology]: 189 | 190 | results = self._wappalyzer.analyze_with_versions_and_categories( 191 | self.Wappalyzer.WebPage.new_from_url(ensure_scheme(host))) 192 | 193 | techs = [] 194 | for tech_name, info in results.items(): 195 | tech = Technology(host, name=tech_name) 196 | if info['versions']: 197 | tech.version = info['versions'][0] 198 | techs.append(tech) 199 | return techs 200 | 201 | class JsWappalyzer(IWappalyzer): 202 | def __init__(self, path:Optional[str]=None, args:Optional[str]=None, timeout:int=1000) -> None: 203 | self.wappalyzerpath = None 204 | if not path: 205 | if shutil.which("wappalyzer"): 206 | self.wappalyzerpath = [ 'wappalyzer' ] 207 | elif shutil.which("docker"): 208 | # Test if docker image is installed 209 | o = subprocess.run( args=[ 'docker', 'image', 'ls' ], stdout=subprocess.PIPE ) 210 | if 'wappalyzer/cli' in o.stdout.decode() : 211 | self.wappalyzerpath = [ 'docker', 'run', '--rm', 'wappalyzer/cli' ] 212 | if self.wappalyzerpath is None: 213 | raise RuntimeError("Can't find wappalyzer/cli in your system.") 214 | else: 215 | self.wappalyzerpath = shlex.split(path) 216 | self.wappalyzerargs = shlex.split(args) if args else [] 217 | self.timeout = timeout 218 | 219 | def analyze(self, host:str) -> List[Technology]: 220 | cmd = self.wappalyzerpath + [ensure_scheme(host)] + self.wappalyzerargs 221 | p = subprocess.run(args=cmd, timeout=self.timeout, stdout=subprocess.PIPE, stderr=subprocess.PIPE) 222 | 223 | if p.returncode == 0: 224 | result = json.loads(p.stdout) 225 | else: 226 | print(f"wappalyzer/cli failed: {p.stdout}\n{p.stderr}") 227 | return [] 228 | 229 | techs = [] 230 | for r in result['technologies']: 231 | t = Technology(host, name=r['name'], version=r['version'] or None) 232 | techs.append(t) 233 | return techs 234 | 235 | class WappalyzerWrapper(object): 236 | 237 | def __init__(self, wappalyzerpath=None, wappalyzerargs=None, python=False): 238 | self._analyze = None 239 | 240 | if not python: 241 | try: 242 | wap = JsWappalyzer(path=wappalyzerpath, args=wappalyzerargs) 243 | self._analyze = wap.analyze 244 | print("Using wappalyzer/cli: {}".format(' '.join(wap.wappalyzerpath))) 245 | except RuntimeError: 246 | pass 247 | if not self._analyze: 248 | print("Using python-Wappalyzer") 249 | self._analyze = PythonWappalyzer().analyze 250 | 251 | 252 | self.results: List[List[Technology]] = [] 253 | 254 | def analyze(self, host) -> List[Technology]: 255 | techs = self._analyze(host) 256 | self.results.append(techs) 257 | return techs 258 | 259 | class MassWappalyzer(object): 260 | 261 | def __init__(self, 262 | urls, 263 | outputfile, 264 | asynch_workers=5, 265 | outputformat="xlsx", 266 | **kwargs): 267 | 268 | print('Mass Wappalyzer') 269 | 270 | self.urls=urls 271 | # Automatically setting output file extension if not already set 272 | if len(outputfile.split('.'))>0: 273 | if outputfile.split('.')[-1].lower() != outputformat: 274 | self.outputfile = outputfile + "." + outputformat 275 | else: 276 | self.outputfile = outputfile 277 | else: 278 | self.outputfile = outputfile + "." + outputformat 279 | 280 | self.outputformat=outputformat 281 | self.asynch_workers=asynch_workers 282 | 283 | self.analyzer = WappalyzerWrapper( 284 | **kwargs) 285 | 286 | def run(self): 287 | 288 | try: 289 | 290 | raw_results = async_do( 291 | self.analyzer.analyze, 292 | self.urls, 293 | asynch=True, 294 | workers=self.asynch_workers, 295 | progress=True, 296 | desc="Analyzing...") 297 | 298 | except KeyboardInterrupt: 299 | print("Quitting...") 300 | raw_results = self.analyzer.results 301 | 302 | except Exception as e: 303 | print(f"Error while analyzing: {e}\n{traceback.format_exc()}") 304 | raw_results = self.analyzer.results 305 | 306 | finally: 307 | 308 | # Find the template Website keys and init a new class dynamically 309 | # Keys: urls, applications meta 310 | all_apps = set() 311 | for items in raw_results: 312 | for item in items: 313 | all_apps.add(clean(item.name)) 314 | 315 | print("All technologies seen: ") 316 | all_apps = sorted(all_apps) 317 | print(all_apps) 318 | 319 | excel_structure = [] 320 | 321 | # Append each Website as dict 322 | for items in raw_results: 323 | if not items: 324 | continue 325 | website_dict = {'Url': items[0].url} 326 | 327 | for item in items: 328 | # Display values of application structure in a human readable manner 329 | website_dict.update( {clean(item.name): f'Detected{(", version "+item.version) if item.version else ""}'} ) 330 | # Append dict to structure 331 | 332 | excel_structure.append(ensure_keys(website_dict, all_apps)) 333 | 334 | if not excel_structure: 335 | print("No valid results, quitting.") 336 | exit(1) 337 | 338 | # Writting output file 339 | if self.outputformat == 'xlsx': 340 | print("Creating Excel file {}".format(self.outputfile)) 341 | 342 | excel_file = get_xlsx_file(excel_structure, index_column="Url") 343 | shutil.copyfile(excel_file.name, self.outputfile) 344 | os.remove(excel_file.name) 345 | 346 | elif self.outputformat == 'csv': 347 | print("Creating CSV file {}".format(self.outputfile)) 348 | with open(self.outputfile, 'w') as csvfile: 349 | d = csv.DictWriter(csvfile, fieldnames=list(k.title() for k in excel_structure[0].keys())) 350 | d.writeheader() 351 | for row in excel_structure: 352 | d.writerow({k.title():' '.join(v.splitlines()) for (k,v) in row.items()}) 353 | 354 | else: 355 | print("Creating JSON file {}".format(self.outputfile)) 356 | with open(self.outputfile, 'w') as jsonfile: 357 | json.dump(excel_structure, jsonfile, indent=4) 358 | 359 | print('Done') 360 | 361 | def parse_arguments(): 362 | parser = argparse.ArgumentParser( 363 | description='Run Wappalyzer asynchronously on a list of URLs and generate an output file (Excel, CSV, or JSON) containing all results.', 364 | formatter_class=argparse.ArgumentDefaultsHelpFormatter, 365 | prog="python3 -m masswappalyzer") 366 | parser.add_argument( 367 | '-i', '--inputfile', 368 | metavar='Input file', 369 | help='Input file, the file must contain 1 host URL per line.', 370 | required=True) 371 | parser.add_argument('-o', '--outputfile', 372 | metavar="Output file", 373 | help='Output file containning all Wappalyzer informations. ', 374 | default="MassWappalyzerResults") 375 | parser.add_argument('-f', '--outputformat', 376 | metavar="Format", 377 | help="Indicate output format. Choices: 'xlsx', 'csv', 'json'.", 378 | default='xlsx', 379 | choices=['xlsx', 'csv', 'json']) 380 | parser.add_argument('-w', '--wappalyzerpath', 381 | metavar='Wappalyzer path', 382 | help='Indicate the path to the Wappalyzer CLI executable. Auto detect by default. Use "python-Wappalyzer" if Wappalyzer CLI not found. ') 383 | parser.add_argument('-c', '--wappalyzerargs', 384 | metavar='Wappalyzer arguments', 385 | help='Indicate the arguments of the Wappalyzer CLI command as string. Not applicable if using "python-Wappalyzer".', 386 | default='--pretty --probe --user-agent="Mozilla/5.0"') 387 | parser.add_argument('-a', '--asynch_workers', 388 | metavar="Number", 389 | help='Number of websites to analyze at the same time', 390 | default=5, type=int) 391 | parser.add_argument('-p', '--python', 392 | action='store_true', 393 | help='Use full Python Wappalyzer implementation "python-Wappalyzer" even if Wappalyzer CLI is installed with NPM or docker.', 394 | required=False) 395 | return(parser.parse_args()) 396 | 397 | def main(): 398 | 399 | args = vars(parse_arguments()) 400 | 401 | urls = file_to_list(args.pop('inputfile')) 402 | 403 | mass_w = MassWappalyzer(urls, **args) 404 | 405 | mass_w.run() 406 | 407 | exit(0) 408 | 409 | if __name__=="__main__": 410 | main() 411 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 2, June 1991 3 | 4 | Copyright (C) 1989, 1991 Free Software Foundation, Inc., 5 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA 6 | Everyone is permitted to copy and distribute verbatim copies 7 | of this license document, but changing it is not allowed. 8 | 9 | Preamble 10 | 11 | The licenses for most software are designed to take away your 12 | freedom to share and change it. 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To prevent this, we have made it clear that any 54 | patent must be licensed for everyone's free use or not licensed at all. 55 | 56 | The precise terms and conditions for copying, distribution and 57 | modification follow. 58 | 59 | GNU GENERAL PUBLIC LICENSE 60 | TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 61 | 62 | 0. This License applies to any program or other work which contains 63 | a notice placed by the copyright holder saying it may be distributed 64 | under the terms of this General Public License. The "Program", below, 65 | refers to any such program or work, and a "work based on the Program" 66 | means either the Program or any derivative work under copyright law: 67 | that is to say, a work containing the Program or a portion of it, 68 | either verbatim or with modifications and/or translated into another 69 | language. (Hereinafter, translation is included without limitation in 70 | the term "modification".) Each licensee is addressed as "you". 71 | 72 | Activities other than copying, distribution and modification are not 73 | covered by this License; they are outside its scope. The act of 74 | running the Program is not restricted, and the output from the Program 75 | is covered only if its contents constitute a work based on the 76 | Program (independent of having been made by running the Program). 77 | Whether that is true depends on what the Program does. 78 | 79 | 1. You may copy and distribute verbatim copies of the Program's 80 | source code as you receive it, in any medium, provided that you 81 | conspicuously and appropriately publish on each copy an appropriate 82 | copyright notice and disclaimer of warranty; keep intact all the 83 | notices that refer to this License and to the absence of any warranty; 84 | and give any other recipients of the Program a copy of this License 85 | along with the Program. 86 | 87 | You may charge a fee for the physical act of transferring a copy, and 88 | you may at your option offer warranty protection in exchange for a fee. 89 | 90 | 2. You may modify your copy or copies of the Program or any portion 91 | of it, thus forming a work based on the Program, and copy and 92 | distribute such modifications or work under the terms of Section 1 93 | above, provided that you also meet all of these conditions: 94 | 95 | a) You must cause the modified files to carry prominent notices 96 | stating that you changed the files and the date of any change. 97 | 98 | b) You must cause any work that you distribute or publish, that in 99 | whole or in part contains or is derived from the Program or any 100 | part thereof, to be licensed as a whole at no charge to all third 101 | parties under the terms of this License. 102 | 103 | c) If the modified program normally reads commands interactively 104 | when run, you must cause it, when started running for such 105 | interactive use in the most ordinary way, to print or display an 106 | announcement including an appropriate copyright notice and a 107 | notice that there is no warranty (or else, saying that you provide 108 | a warranty) and that users may redistribute the program under 109 | these conditions, and telling the user how to view a copy of this 110 | License. (Exception: if the Program itself is interactive but 111 | does not normally print such an announcement, your work based on 112 | the Program is not required to print an announcement.) 113 | 114 | These requirements apply to the modified work as a whole. If 115 | identifiable sections of that work are not derived from the Program, 116 | and can be reasonably considered independent and separate works in 117 | themselves, then this License, and its terms, do not apply to those 118 | sections when you distribute them as separate works. But when you 119 | distribute the same sections as part of a whole which is a work based 120 | on the Program, the distribution of the whole must be on the terms of 121 | this License, whose permissions for other licensees extend to the 122 | entire whole, and thus to each and every part regardless of who wrote it. 123 | 124 | Thus, it is not the intent of this section to claim rights or contest 125 | your rights to work written entirely by you; rather, the intent is to 126 | exercise the right to control the distribution of derivative or 127 | collective works based on the Program. 128 | 129 | In addition, mere aggregation of another work not based on the Program 130 | with the Program (or with a work based on the Program) on a volume of 131 | a storage or distribution medium does not bring the other work under 132 | the scope of this License. 133 | 134 | 3. You may copy and distribute the Program (or a work based on it, 135 | under Section 2) in object code or executable form under the terms of 136 | Sections 1 and 2 above provided that you also do one of the following: 137 | 138 | a) Accompany it with the complete corresponding machine-readable 139 | source code, which must be distributed under the terms of Sections 140 | 1 and 2 above on a medium customarily used for software interchange; or, 141 | 142 | b) Accompany it with a written offer, valid for at least three 143 | years, to give any third party, for a charge no more than your 144 | cost of physically performing source distribution, a complete 145 | machine-readable copy of the corresponding source code, to be 146 | distributed under the terms of Sections 1 and 2 above on a medium 147 | customarily used for software interchange; or, 148 | 149 | c) Accompany it with the information you received as to the offer 150 | to distribute corresponding source code. (This alternative is 151 | allowed only for noncommercial distribution and only if you 152 | received the program in object code or executable form with such 153 | an offer, in accord with Subsection b above.) 154 | 155 | The source code for a work means the preferred form of the work for 156 | making modifications to it. For an executable work, complete source 157 | code means all the source code for all modules it contains, plus any 158 | associated interface definition files, plus the scripts used to 159 | control compilation and installation of the executable. However, as a 160 | special exception, the source code distributed need not include 161 | anything that is normally distributed (in either source or binary 162 | form) with the major components (compiler, kernel, and so on) of the 163 | operating system on which the executable runs, unless that component 164 | itself accompanies the executable. 165 | 166 | If distribution of executable or object code is made by offering 167 | access to copy from a designated place, then offering equivalent 168 | access to copy the source code from the same place counts as 169 | distribution of the source code, even though third parties are not 170 | compelled to copy the source along with the object code. 171 | 172 | 4. You may not copy, modify, sublicense, or distribute the Program 173 | except as expressly provided under this License. Any attempt 174 | otherwise to copy, modify, sublicense or distribute the Program is 175 | void, and will automatically terminate your rights under this License. 176 | However, parties who have received copies, or rights, from you under 177 | this License will not have their licenses terminated so long as such 178 | parties remain in full compliance. 179 | 180 | 5. You are not required to accept this License, since you have not 181 | signed it. However, nothing else grants you permission to modify or 182 | distribute the Program or its derivative works. These actions are 183 | prohibited by law if you do not accept this License. Therefore, by 184 | modifying or distributing the Program (or any work based on the 185 | Program), you indicate your acceptance of this License to do so, and 186 | all its terms and conditions for copying, distributing or modifying 187 | the Program or works based on it. 188 | 189 | 6. Each time you redistribute the Program (or any work based on the 190 | Program), the recipient automatically receives a license from the 191 | original licensor to copy, distribute or modify the Program subject to 192 | these terms and conditions. You may not impose any further 193 | restrictions on the recipients' exercise of the rights granted herein. 194 | You are not responsible for enforcing compliance by third parties to 195 | this License. 196 | 197 | 7. If, as a consequence of a court judgment or allegation of patent 198 | infringement or for any other reason (not limited to patent issues), 199 | conditions are imposed on you (whether by court order, agreement or 200 | otherwise) that contradict the conditions of this License, they do not 201 | excuse you from the conditions of this License. If you cannot 202 | distribute so as to satisfy simultaneously your obligations under this 203 | License and any other pertinent obligations, then as a consequence you 204 | may not distribute the Program at all. For example, if a patent 205 | license would not permit royalty-free redistribution of the Program by 206 | all those who receive copies directly or indirectly through you, then 207 | the only way you could satisfy both it and this License would be to 208 | refrain entirely from distribution of the Program. 209 | 210 | If any portion of this section is held invalid or unenforceable under 211 | any particular circumstance, the balance of the section is intended to 212 | apply and the section as a whole is intended to apply in other 213 | circumstances. 214 | 215 | It is not the purpose of this section to induce you to infringe any 216 | patents or other property right claims or to contest validity of any 217 | such claims; this section has the sole purpose of protecting the 218 | integrity of the free software distribution system, which is 219 | implemented by public license practices. Many people have made 220 | generous contributions to the wide range of software distributed 221 | through that system in reliance on consistent application of that 222 | system; it is up to the author/donor to decide if he or she is willing 223 | to distribute software through any other system and a licensee cannot 224 | impose that choice. 225 | 226 | This section is intended to make thoroughly clear what is believed to 227 | be a consequence of the rest of this License. 228 | 229 | 8. If the distribution and/or use of the Program is restricted in 230 | certain countries either by patents or by copyrighted interfaces, the 231 | original copyright holder who places the Program under this License 232 | may add an explicit geographical distribution limitation excluding 233 | those countries, so that distribution is permitted only in or among 234 | countries not thus excluded. In such case, this License incorporates 235 | the limitation as if written in the body of this License. 236 | 237 | 9. The Free Software Foundation may publish revised and/or new versions 238 | of the General Public License from time to time. Such new versions will 239 | be similar in spirit to the present version, but may differ in detail to 240 | address new problems or concerns. 241 | 242 | Each version is given a distinguishing version number. If the Program 243 | specifies a version number of this License which applies to it and "any 244 | later version", you have the option of following the terms and conditions 245 | either of that version or of any later version published by the Free 246 | Software Foundation. If the Program does not specify a version number of 247 | this License, you may choose any version ever published by the Free Software 248 | Foundation. 249 | 250 | 10. If you wish to incorporate parts of the Program into other free 251 | programs whose distribution conditions are different, write to the author 252 | to ask for permission. For software which is copyrighted by the Free 253 | Software Foundation, write to the Free Software Foundation; we sometimes 254 | make exceptions for this. Our decision will be guided by the two goals 255 | of preserving the free status of all derivatives of our free software and 256 | of promoting the sharing and reuse of software generally. 257 | 258 | NO WARRANTY 259 | 260 | 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY 261 | FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN 262 | OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES 263 | PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED 264 | OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF 265 | MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS 266 | TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE 267 | PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, 268 | REPAIR OR CORRECTION. 269 | 270 | 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 271 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR 272 | REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, 273 | INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING 274 | OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED 275 | TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY 276 | YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER 277 | PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE 278 | POSSIBILITY OF SUCH DAMAGES. 279 | 280 | END OF TERMS AND CONDITIONS 281 | 282 | How to Apply These Terms to Your New Programs 283 | 284 | If you develop a new program, and you want it to be of the greatest 285 | possible use to the public, the best way to achieve this is to make it 286 | free software which everyone can redistribute and change under these terms. 287 | 288 | To do so, attach the following notices to the program. It is safest 289 | to attach them to the start of each source file to most effectively 290 | convey the exclusion of warranty; and each file should have at least 291 | the "copyright" line and a pointer to where the full notice is found. 292 | 293 | 294 | Copyright (C) 295 | 296 | This program is free software; you can redistribute it and/or modify 297 | it under the terms of the GNU General Public License as published by 298 | the Free Software Foundation; either version 2 of the License, or 299 | (at your option) any later version. 300 | 301 | This program is distributed in the hope that it will be useful, 302 | but WITHOUT ANY WARRANTY; without even the implied warranty of 303 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 304 | GNU General Public License for more details. 305 | 306 | You should have received a copy of the GNU General Public License along 307 | with this program; if not, write to the Free Software Foundation, Inc., 308 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 309 | 310 | Also add information on how to contact you by electronic and paper mail. 311 | 312 | If the program is interactive, make it output a short notice like this 313 | when it starts in an interactive mode: 314 | 315 | Gnomovision version 69, Copyright (C) year name of author 316 | Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 317 | This is free software, and you are welcome to redistribute it 318 | under certain conditions; type `show c' for details. 319 | 320 | The hypothetical commands `show w' and `show c' should show the appropriate 321 | parts of the General Public License. Of course, the commands you use may 322 | be called something other than `show w' and `show c'; they could even be 323 | mouse-clicks or menu items--whatever suits your program. 324 | 325 | You should also get your employer (if you work as a programmer) or your 326 | school, if any, to sign a "copyright disclaimer" for the program, if 327 | necessary. Here is a sample; alter the names: 328 | 329 | Yoyodyne, Inc., hereby disclaims all copyright interest in the program 330 | `Gnomovision' (which makes passes at compilers) written by James Hacker. 331 | 332 | , 1 April 1989 333 | Ty Coon, President of Vice 334 | 335 | This General Public License does not permit incorporating your program into 336 | proprietary programs. If your program is a subroutine library, you may 337 | consider it more useful to permit linking proprietary applications with the 338 | library. If this is what you want to do, use the GNU Lesser General 339 | Public License instead of this License. 340 | -------------------------------------------------------------------------------- /sample/top-20-websites-2020.json: -------------------------------------------------------------------------------- 1 | [ 2 | { 3 | "Url": "youtube.com", 4 | "Reddit": "Detected", 5 | "Python": "Detected", 6 | "Polymer": "Detected, version 3.4.1", 7 | "GoogleFontAPI": "Detected", 8 | "Hammerjs": "Detected, version 2.0.2", 9 | "AWSCertificateManager": "", 10 | "Akamai": "", 11 | "AkamaiBotManager": "", 12 | "AmazonCloudfront": "", 13 | "AmazonWebServices": "", 14 | "Apache": "", 15 | "AppleSignin": "", 16 | "Babel": "", 17 | "Bootstrap": "", 18 | "BugSnag": "", 19 | "CartFunctionality": "", 20 | "DigiCert": "", 21 | "DoubleClickforPublishersDFP": "", 22 | "Ensighten": "", 23 | "Envoy": "", 24 | "Express": "", 25 | "Facebook": "", 26 | "FacebookSignin": "", 27 | "Fastly": "", 28 | "GoogleAnalytics": 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"AppleSignin": "", 410 | "Babel": "", 411 | "Bootstrap": "", 412 | "BugSnag": "", 413 | "CartFunctionality": "", 414 | "DigiCert": "", 415 | "DoubleClickforPublishersDFP": "", 416 | "Ensighten": "", 417 | "Envoy": "", 418 | "Express": "", 419 | "Facebook": "", 420 | "FacebookSignin": "", 421 | "Fastly": "", 422 | "GoogleAnalytics": "", 423 | "GoogleFontAPI": "", 424 | "GoogleSignin": "", 425 | "GoogleTagManager": "", 426 | "GoogleWorkspace": "", 427 | "Hammerjs": "", 428 | "Hoganjs": "", 429 | "MediaWiki": "", 430 | "Microsoft365": "", 431 | "MobX": "", 432 | "Nginx": "", 433 | "OneTrust": "", 434 | "PHP": "", 435 | "Polyfill": "", 436 | "Polymer": "", 437 | "Prebid": "", 438 | "Python": "", 439 | "Reddit": "", 440 | "RequireJS": "", 441 | "Sentry": "", 442 | "Sizmek": "", 443 | "Stripe": "", 444 | "Varnish": "", 445 | "YouTube": "", 446 | "Zipkin": "", 447 | "jQuery": "", 448 | "reCAPTCHA": "" 449 | }, 450 | { 451 | "Url": "fandom.com", 452 | "Varnish": "Detected", 453 | "Envoy": "Detected", 454 | "GoogleWorkspace": "Detected", 455 | "GoogleFontAPI": "Detected", 456 | "GoogleAnalytics": "Detected", 457 | "DoubleClickforPublishersDFP": "Detected", 458 | "webpack": "Detected", 459 | "jQuery": "Detected, version 3.4.1", 460 | "Prebid": "Detected", 461 | "GoogleTagManager": "Detected", 462 | "Fastly": "Detected", 463 | "AWSCertificateManager": "", 464 | "Akamai": "", 465 | "AkamaiBotManager": "", 466 | "AmazonCloudfront": "", 467 | "AmazonWebServices": "", 468 | "Apache": "", 469 | "AppleSignin": "", 470 | "Babel": "", 471 | "Bootstrap": "", 472 | "BugSnag": "", 473 | "CartFunctionality": "", 474 | "DigiCert": "", 475 | "Ensighten": "", 476 | "Express": "", 477 | "Facebook": "", 478 | "FacebookSignin": "", 479 | "GoogleSignin": "", 480 | "Hammerjs": "", 481 | "Hoganjs": "", 482 | "Lodash": "", 483 | "MediaWiki": "", 484 | "Microsoft365": "", 485 | "MobX": "", 486 | "Nextjs": "", 487 | "Nginx": "", 488 | "Nodejs": "", 489 | "OneTrust": "", 490 | "PHP": "", 491 | "Polyfill": "", 492 | "Polymer": "", 493 | "Python": "", 494 | "React": "", 495 | "Reddit": "", 496 | "RequireJS": "", 497 | "Sentry": "", 498 | "Sizmek": "", 499 | "Stripe": "", 500 | "Underscorejs": "", 501 | "YouTube": "", 502 | "Zipkin": "", 503 | "comScore": "", 504 | "reCAPTCHA": "" 505 | }, 506 | { 507 | "Url": "pinterest.com", 508 | "Envoy": "Detected", 509 | "React": "Detected", 510 | "reCAPTCHA": "Detected", 511 | "DigiCert": "Detected", 512 | "AWSCertificateManager": "", 513 | "Akamai": "", 514 | "AkamaiBotManager": "", 515 | "AmazonCloudfront": "", 516 | "AmazonWebServices": "", 517 | "Apache": "", 518 | "AppleSignin": "", 519 | "Babel": "", 520 | "Bootstrap": "", 521 | "BugSnag": "", 522 | "CartFunctionality": "", 523 | "DoubleClickforPublishersDFP": "", 524 | "Ensighten": "", 525 | "Express": "", 526 | "Facebook": "", 527 | "FacebookSignin": "", 528 | "Fastly": "", 529 | "GoogleAnalytics": "", 530 | "GoogleFontAPI": "", 531 | "GoogleSignin": "", 532 | "GoogleTagManager": "", 533 | "GoogleWorkspace": "", 534 | "Hammerjs": "", 535 | "Hoganjs": "", 536 | "Lodash": "", 537 | "MediaWiki": "", 538 | "Microsoft365": "", 539 | "MobX": "", 540 | "Nextjs": "", 541 | "Nginx": "", 542 | "Nodejs": "", 543 | "OneTrust": "", 544 | "PHP": "", 545 | "Polyfill": "", 546 | "Polymer": "", 547 | "Prebid": "", 548 | "Python": "", 549 | "Reddit": "", 550 | "RequireJS": "", 551 | "Sentry": "", 552 | "Sizmek": "", 553 | "Stripe": "", 554 | "Underscorejs": "", 555 | "Varnish": "", 556 | "YouTube": "", 557 | "Zipkin": "", 558 | "comScore": "", 559 | "jQuery": "", 560 | "webpack": "" 561 | }, 562 | { 563 | "Url": "tripadvisor.com", 564 | "CartFunctionality": "Detected", 565 | "Bootstrap": "Detected, version 22%2", 566 | "Envoy": "Detected", 567 | "RequireJS": "Detected", 568 | "jQuery": "Detected", 569 | "AkamaiBotManager": "Detected", 570 | "GoogleTagManager": "Detected", 571 | "DigiCert": "Detected", 572 | "AWSCertificateManager": "", 573 | "Akamai": "", 574 | "AmazonCloudfront": "", 575 | "AmazonWebServices": "", 576 | "Apache": "", 577 | "AppleSignin": "", 578 | "Babel": "", 579 | "BugSnag": "", 580 | "DoubleClickforPublishersDFP": "", 581 | "Ensighten": "", 582 | "Express": "", 583 | "Facebook": "", 584 | "FacebookSignin": "", 585 | "Fastly": "", 586 | "GoogleAnalytics": "", 587 | "GoogleFontAPI": "", 588 | "GoogleSignin": "", 589 | "GoogleWorkspace": "", 590 | "Hammerjs": "", 591 | "Hoganjs": "", 592 | "Lodash": "", 593 | "MediaWiki": "", 594 | "Microsoft365": "", 595 | "MobX": "", 596 | "Nextjs": "", 597 | "Nginx": "", 598 | "Nodejs": "", 599 | "OneTrust": "", 600 | "PHP": "", 601 | "Polyfill": "", 602 | "Polymer": "", 603 | "Prebid": "", 604 | "Python": "", 605 | "React": "", 606 | "Reddit": "", 607 | "Sentry": "", 608 | "Sizmek": "", 609 | "Stripe": "", 610 | "Underscorejs": "", 611 | "Varnish": "", 612 | "YouTube": "", 613 | "Zipkin": "", 614 | "comScore": "", 615 | "reCAPTCHA": "", 616 | "webpack": "" 617 | }, 618 | { 619 | "Url": "instagram.com", 620 | "FacebookSignin": "Detected", 621 | "Facebook": "Detected", 622 | "DigiCert": "Detected", 623 | "AWSCertificateManager": "", 624 | "Akamai": "", 625 | "AkamaiBotManager": "", 626 | "AmazonCloudfront": "", 627 | "AmazonWebServices": "", 628 | "Apache": "", 629 | "AppleSignin": "", 630 | "Babel": "", 631 | "Bootstrap": "", 632 | "BugSnag": "", 633 | "CartFunctionality": "", 634 | "DoubleClickforPublishersDFP": "", 635 | "Ensighten": "", 636 | "Envoy": "", 637 | "Express": "", 638 | "Fastly": "", 639 | "GoogleAnalytics": "", 640 | "GoogleFontAPI": "", 641 | "GoogleSignin": "", 642 | "GoogleTagManager": "", 643 | "GoogleWorkspace": "", 644 | "Hammerjs": "", 645 | "Hoganjs": "", 646 | "Lodash": "", 647 | "MediaWiki": "", 648 | "Microsoft365": "", 649 | "MobX": "", 650 | "Nextjs": "", 651 | "Nginx": "", 652 | "Nodejs": "", 653 | "OneTrust": "", 654 | "PHP": "", 655 | "Polyfill": "", 656 | "Polymer": "", 657 | "Prebid": "", 658 | "Python": "", 659 | "React": "", 660 | "Reddit": "", 661 | "RequireJS": "", 662 | "Sentry": "", 663 | "Sizmek": "", 664 | "Stripe": "", 665 | "Underscorejs": "", 666 | "Varnish": "", 667 | "YouTube": "", 668 | "Zipkin": "", 669 | "comScore": "", 670 | "jQuery": "", 671 | "reCAPTCHA": "", 672 | "webpack": "" 673 | }, 674 | { 675 | "Url": "walmart.com", 676 | "Nodejs": "Detected", 677 | "Envoy": "Detected", 678 | "React": "Detected", 679 | "Nextjs": "Detected", 680 | "webpack": "Detected", 681 | "AkamaiBotManager": "Detected", 682 | "Akamai": "Detected", 683 | "AWSCertificateManager": "", 684 | "AmazonCloudfront": "", 685 | "AmazonWebServices": "", 686 | "Apache": "", 687 | "AppleSignin": "", 688 | "Babel": "", 689 | "Bootstrap": "", 690 | "BugSnag": "", 691 | "CartFunctionality": "", 692 | "DigiCert": "", 693 | "DoubleClickforPublishersDFP": "", 694 | "Ensighten": "", 695 | "Express": "", 696 | "Facebook": "", 697 | "FacebookSignin": "", 698 | "Fastly": "", 699 | "GoogleAnalytics": "", 700 | "GoogleFontAPI": "", 701 | "GoogleSignin": "", 702 | "GoogleTagManager": "", 703 | "GoogleWorkspace": "", 704 | "Hammerjs": "", 705 | "Hoganjs": "", 706 | "Lodash": "", 707 | "MediaWiki": "", 708 | "Microsoft365": "", 709 | "MobX": "", 710 | "Nginx": "", 711 | "OneTrust": "", 712 | "PHP": "", 713 | "Polyfill": "", 714 | "Polymer": "", 715 | "Prebid": "", 716 | "Python": "", 717 | "Reddit": "", 718 | "RequireJS": "", 719 | "Sentry": "", 720 | "Sizmek": "", 721 | "Stripe": "", 722 | "Underscorejs": "", 723 | "Varnish": "", 724 | "YouTube": "", 725 | "Zipkin": "", 726 | "comScore": "", 727 | "jQuery": "", 728 | "reCAPTCHA": "" 729 | }, 730 | { 731 | "Url": "craigslist.org", 732 | "Apache": "Detected", 733 | "DigiCert": "Detected", 734 | "AWSCertificateManager": "", 735 | "Akamai": "", 736 | "AkamaiBotManager": "", 737 | "AmazonCloudfront": "", 738 | "AmazonWebServices": "", 739 | "AppleSignin": "", 740 | "Babel": "", 741 | "Bootstrap": "", 742 | "BugSnag": "", 743 | "CartFunctionality": "", 744 | "DoubleClickforPublishersDFP": "", 745 | "Ensighten": "", 746 | "Envoy": "", 747 | "Express": "", 748 | "Facebook": "", 749 | "FacebookSignin": "", 750 | "Fastly": "", 751 | "GoogleAnalytics": "", 752 | "GoogleFontAPI": "", 753 | "GoogleSignin": "", 754 | "GoogleTagManager": "", 755 | "GoogleWorkspace": "", 756 | "Hammerjs": "", 757 | "Hoganjs": "", 758 | "Lodash": "", 759 | "MediaWiki": "", 760 | "Microsoft365": "", 761 | "MobX": "", 762 | "Nextjs": "", 763 | "Nginx": "", 764 | "Nodejs": "", 765 | "OneTrust": "", 766 | "PHP": "", 767 | "Polyfill": "", 768 | "Polymer": "", 769 | "Prebid": "", 770 | "Python": "", 771 | "React": "", 772 | "Reddit": "", 773 | "RequireJS": "", 774 | "Sentry": "", 775 | "Sizmek": "", 776 | "Stripe": "", 777 | "Underscorejs": "", 778 | "Varnish": "", 779 | "YouTube": "", 780 | "Zipkin": "", 781 | "comScore": "", 782 | "jQuery": "", 783 | "reCAPTCHA": "", 784 | "webpack": "" 785 | }, 786 | { 787 | "Url": "ebay.com", 788 | "CartFunctionality": "Detected", 789 | "Envoy": "Detected", 790 | "AkamaiBotManager": "Detected", 791 | "jQuery": "Detected, version 3.5.1", 792 | "GoogleTagManager": "Detected", 793 | "DigiCert": "Detected", 794 | "AWSCertificateManager": "", 795 | "Akamai": "", 796 | "AmazonCloudfront": "", 797 | "AmazonWebServices": "", 798 | "Apache": "", 799 | "AppleSignin": "", 800 | "Babel": "", 801 | "Bootstrap": "", 802 | "BugSnag": "", 803 | "DoubleClickforPublishersDFP": "", 804 | "Ensighten": "", 805 | "Express": "", 806 | "Facebook": "", 807 | "FacebookSignin": "", 808 | "Fastly": "", 809 | "GoogleAnalytics": "", 810 | "GoogleFontAPI": "", 811 | "GoogleSignin": "", 812 | "GoogleWorkspace": "", 813 | "Hammerjs": "", 814 | "Hoganjs": "", 815 | "Lodash": "", 816 | "MediaWiki": "", 817 | "Microsoft365": "", 818 | "MobX": "", 819 | "Nextjs": "", 820 | "Nginx": "", 821 | "Nodejs": "", 822 | "OneTrust": "", 823 | "PHP": "", 824 | "Polyfill": "", 825 | "Polymer": "", 826 | "Prebid": "", 827 | "Python": "", 828 | "React": "", 829 | "Reddit": "", 830 | "RequireJS": "", 831 | "Sentry": "", 832 | "Sizmek": "", 833 | "Stripe": "", 834 | "Underscorejs": "", 835 | "Varnish": "", 836 | "YouTube": "", 837 | "Zipkin": "", 838 | "comScore": "", 839 | "reCAPTCHA": "", 840 | "webpack": "" 841 | }, 842 | { 843 | "Url": "linkedin.com", 844 | "GoogleSignin": "Detected", 845 | "YouTube": "Detected", 846 | "DigiCert": "Detected", 847 | "AWSCertificateManager": "", 848 | "Akamai": "", 849 | "AkamaiBotManager": "", 850 | "AmazonCloudfront": "", 851 | "AmazonWebServices": "", 852 | "Apache": "", 853 | "AppleSignin": "", 854 | "Babel": "", 855 | "Bootstrap": "", 856 | "BugSnag": "", 857 | "CartFunctionality": "", 858 | "DoubleClickforPublishersDFP": "", 859 | "Ensighten": "", 860 | "Envoy": "", 861 | "Express": "", 862 | "Facebook": "", 863 | "FacebookSignin": "", 864 | "Fastly": "", 865 | "GoogleAnalytics": "", 866 | "GoogleFontAPI": "", 867 | "GoogleTagManager": "", 868 | "GoogleWorkspace": "", 869 | "Hammerjs": "", 870 | "Hoganjs": "", 871 | "Lodash": "", 872 | "MediaWiki": "", 873 | "Microsoft365": "", 874 | "MobX": "", 875 | "Nextjs": "", 876 | "Nginx": "", 877 | "Nodejs": "", 878 | "OneTrust": "", 879 | "PHP": "", 880 | "Polyfill": "", 881 | "Polymer": "", 882 | "Prebid": "", 883 | "Python": "", 884 | "React": "", 885 | "Reddit": "", 886 | "RequireJS": "", 887 | "Sentry": "", 888 | "Sizmek": "", 889 | "Stripe": "", 890 | "Underscorejs": "", 891 | "Varnish": "", 892 | "Zipkin": "", 893 | "comScore": "", 894 | "jQuery": "", 895 | "reCAPTCHA": "", 896 | "webpack": "" 897 | }, 898 | { 899 | "Url": "healthline.com", 900 | "Sentry": "Detected, version 6.18.2", 901 | "Nodejs": "Detected", 902 | "Bootstrap": "Detected", 903 | "React": "Detected", 904 | "Nextjs": "Detected", 905 | "Microsoft365": "Detected", 906 | "AmazonWebServices": "Detected", 907 | "jQuery": "Detected", 908 | "Ensighten": "Detected", 909 | "webpack": "Detected", 910 | "Prebid": "Detected", 911 | "GoogleTagManager": "Detected", 912 | "GoogleAnalytics": "Detected", 913 | "AmazonCloudfront": "Detected", 914 | "AWSCertificateManager": "Detected", 915 | "Akamai": "", 916 | "AkamaiBotManager": "", 917 | "Apache": "", 918 | "AppleSignin": "", 919 | "Babel": "", 920 | "BugSnag": "", 921 | "CartFunctionality": "", 922 | "DigiCert": "", 923 | "DoubleClickforPublishersDFP": "", 924 | "Envoy": "", 925 | "Express": "", 926 | "Facebook": "", 927 | "FacebookSignin": "", 928 | "Fastly": "", 929 | "GoogleFontAPI": "", 930 | "GoogleSignin": "", 931 | "GoogleWorkspace": "", 932 | "Hammerjs": "", 933 | "Hoganjs": "", 934 | "Lodash": "", 935 | "MediaWiki": "", 936 | "MobX": "", 937 | "Nginx": "", 938 | "OneTrust": "", 939 | "PHP": "", 940 | "Polyfill": "", 941 | "Polymer": "", 942 | "Python": "", 943 | "Reddit": "", 944 | "RequireJS": "", 945 | "Sizmek": "", 946 | "Stripe": "", 947 | "Underscorejs": "", 948 | "Varnish": "", 949 | "YouTube": "", 950 | "Zipkin": "", 951 | "comScore": "", 952 | "reCAPTCHA": "" 953 | }, 954 | { 955 | "Url": "etsy.com", 956 | "CartFunctionality": "Detected", 957 | "Bootstrap": "Detected, version 2", 958 | "Hoganjs": "Detected", 959 | "GoogleWorkspace": "Detected", 960 | "AmazonWebServices": "Detected", 961 | "Apache": "Detected", 962 | "Polyfill": "Detected", 963 | "jQuery": "Detected, version 2.2.4", 964 | "Underscorejs": "Detected, version 1.4.4", 965 | "Lodash": "Detected, version 1.4.4", 966 | "GoogleTagManager": "Detected", 967 | "GoogleAnalytics": "Detected", 968 | "DigiCert": "Detected", 969 | "AWSCertificateManager": "", 970 | "Akamai": "", 971 | "AkamaiBotManager": "", 972 | "AmazonCloudfront": "", 973 | "AppleSignin": "", 974 | "Babel": "", 975 | "BugSnag": "", 976 | "DoubleClickforPublishersDFP": "", 977 | "Ensighten": "", 978 | "Envoy": "", 979 | "Express": "", 980 | "Facebook": "", 981 | "FacebookSignin": "", 982 | "Fastly": "", 983 | "GoogleFontAPI": "", 984 | "GoogleSignin": "", 985 | "Hammerjs": "", 986 | "MediaWiki": "", 987 | "Microsoft365": "", 988 | "MobX": "", 989 | "Nextjs": "", 990 | "Nginx": "", 991 | "Nodejs": "", 992 | "OneTrust": "", 993 | "PHP": "", 994 | "Polymer": "", 995 | "Prebid": "", 996 | "Python": "", 997 | "React": "", 998 | "Reddit": "", 999 | "RequireJS": "", 1000 | "Sentry": "", 1001 | "Sizmek": "", 1002 | "Stripe": "", 1003 | "Varnish": "", 1004 | "YouTube": "", 1005 | "Zipkin": "", 1006 | "comScore": "", 1007 | "reCAPTCHA": "", 1008 | "webpack": "" 1009 | }, 1010 | { 1011 | "Url": "indeed.com", 1012 | "Sentry": "Detected", 1013 | "React": "Detected", 1014 | "Nginx": "Detected", 1015 | "Sizmek": "Detected", 1016 | "GoogleFontAPI": "Detected", 1017 | "MobX": "Detected", 1018 | "DigiCert": "Detected", 1019 | "AWSCertificateManager": "", 1020 | "Akamai": "", 1021 | "AkamaiBotManager": "", 1022 | "AmazonCloudfront": "", 1023 | "AmazonWebServices": "", 1024 | "Apache": "", 1025 | "AppleSignin": "", 1026 | "Babel": "", 1027 | "Bootstrap": "", 1028 | "BugSnag": "", 1029 | "CartFunctionality": "", 1030 | "DoubleClickforPublishersDFP": "", 1031 | "Ensighten": "", 1032 | "Envoy": "", 1033 | "Express": "", 1034 | "Facebook": "", 1035 | "FacebookSignin": "", 1036 | "Fastly": "", 1037 | "GoogleAnalytics": "", 1038 | "GoogleSignin": "", 1039 | "GoogleTagManager": "", 1040 | "GoogleWorkspace": "", 1041 | "Hammerjs": "", 1042 | "Hoganjs": "", 1043 | "Lodash": "", 1044 | "MediaWiki": "", 1045 | "Microsoft365": "", 1046 | "Nextjs": "", 1047 | "Nodejs": "", 1048 | "OneTrust": "", 1049 | "PHP": "", 1050 | "Polyfill": "", 1051 | "Polymer": "", 1052 | "Prebid": "", 1053 | "Python": "", 1054 | "Reddit": "", 1055 | "RequireJS": "", 1056 | "Stripe": "", 1057 | "Underscorejs": "", 1058 | "Varnish": "", 1059 | "YouTube": "", 1060 | "Zipkin": "", 1061 | "comScore": "", 1062 | "jQuery": "", 1063 | "reCAPTCHA": "", 1064 | "webpack": "" 1065 | } 1066 | ] --------------------------------------------------------------------------------