├── onionsearch
├── __init__.py
└── core.py
├── setup.py
├── .gitignore
├── README.md
└── LICENSE
/onionsearch/__init__.py:
--------------------------------------------------------------------------------
1 | from onionsearch.core import *
2 |
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/setup.py:
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1 | # -*- coding: utf-8 -*-
2 | from setuptools import setup, find_packages
3 |
4 |
5 | setup(
6 | name='onionsearch',
7 | version="1.3",
8 | packages=find_packages(),
9 | author="megadose",
10 | install_requires=["requests","argparse","termcolor","tqdm", "html5lib","bs4","PySocks"],
11 | description="OnionSearch is a script that scrapes urls on different .onion search engines.",
12 | include_package_data=True,
13 | url='http://github.com/megadose/OnionSearch',
14 | entry_points = {'console_scripts': ['onionsearch = onionsearch.core:scrape']},
15 | classifiers=[
16 | "Programming Language :: Python",
17 | "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
18 | ],
19 | )
20 |
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/.gitignore:
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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 |
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/README.md:
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1 | # OnionSearch
2 | 👋 Hi there! For any professional inquiries or collaborations, please reach out to me at:
3 | megadose@protonmail.com
4 |
5 | 📧 Preferably, use your professional email for correspondence. Let's keep it short and sweet, and all in English!
6 |
7 |    
8 | #### For BTC Donations : 1FHDM49QfZX6pJmhjLE5tB2K6CaTLMZpXZ
9 | ## Educational purposes only
10 |
11 | OnionSearch is a Python3 script that scrapes urls on different ".onion" search engines.
12 |
13 | 
14 |
15 | ### Demo
16 |
17 | 
18 |
19 |
20 | ## 💡 Prerequisite
21 | [Python 3](https://www.python.org/download/releases/3.0/)
22 |
23 | ## 📚 Currently supported Search engines
24 | - ahmia
25 | - darksearchio
26 | - onionland
27 | - notevil
28 | - darksearchenginer
29 | - phobos
30 | - onionsearchserver
31 | - torgle
32 | - onionsearchengine
33 | - tordex
34 | - tor66
35 | - tormax
36 | - haystack
37 | - multivac
38 | - evosearch
39 | - deeplink
40 |
41 | ## 🛠️ Installation
42 | ### With PyPI
43 |
44 | ```pip3 install onionsearch```
45 |
46 | ### With Github
47 |
48 | ```bash
49 | git clone https://github.com/megadose/OnionSearch.git
50 | cd OnionSearch/
51 | python3 setup.py install
52 | ```
53 |
54 |
55 | ## 📈 Usage
56 |
57 | Help:
58 | ```
59 | usage: onionsearch [-h] [--proxy PROXY] [--output OUTPUT]
60 | [--continuous_write CONTINUOUS_WRITE] [--limit LIMIT]
61 | [--engines [ENGINES [ENGINES ...]]]
62 | [--exclude [EXCLUDE [EXCLUDE ...]]]
63 | [--fields [FIELDS [FIELDS ...]]]
64 | [--field_delimiter FIELD_DELIMITER] [--mp_units MP_UNITS]
65 | search
66 |
67 | positional arguments:
68 | search The search string or phrase
69 |
70 | optional arguments:
71 | -h, --help show this help message and exit
72 | --proxy PROXY Set Tor proxy (default: 127.0.0.1:9050)
73 | --output OUTPUT Output File (default: output_$SEARCH_$DATE.txt), where $SEARCH is replaced by the first chars of the search string and $DATE is replaced by the datetime
74 | --continuous_write CONTINUOUS_WRITE
75 | Write progressively to output file (default: False)
76 | --limit LIMIT Set a max number of pages per engine to load
77 | --engines [ENGINES [ENGINES ...]]
78 | Engines to request (default: full list)
79 | --exclude [EXCLUDE [EXCLUDE ...]]
80 | Engines to exclude (default: none)
81 | --fields [FIELDS [FIELDS ...]]
82 | Fields to output to csv file (default: engine name link), available fields are shown below
83 | --field_delimiter FIELD_DELIMITER
84 | Delimiter for the CSV fields
85 | --mp_units MP_UNITS Number of processing units (default: core number minus 1)
86 |
87 | [...]
88 | ```
89 |
90 | ### Multi-processing behaviour
91 |
92 | By default, the script will run with the parameter `mp_units = cpu_count() - 1`. It means if you have a machine with 4 cores,
93 | it will run 3 scraping functions in parallel. You can force `mp_units` to any value but it is recommended to leave to default.
94 | You may want to set it to 1 to run all requests sequentially (disabling multi-processing feature).
95 |
96 | Please note that continuous writing to csv file has not been *heavily* tested with multiprocessing feature and therefore
97 | may not work as expected.
98 |
99 | Please also note that the progress bars may not be properly displayed when `mp_units` is greater than 1.
100 | **It does not affect the results**, so don't worry.
101 |
102 | ### Examples
103 |
104 | To request all the engines for the word "computer":
105 | ```
106 | onionsearch "computer"
107 | ```
108 |
109 | To request all the engines excepted "Ahmia" and "Candle" for the word "computer":
110 | ```
111 | onionsearch "computer" --exclude ahmia candle
112 | ```
113 |
114 | To request only "Tor66", "DeepLink" and "Phobos" for the word "computer":
115 | ```
116 | onionsearch "computer" --engines tor66 deeplink phobos
117 | ```
118 |
119 | The same as previously but limiting to 3 the number of pages to load per engine:
120 | ```
121 | onionsearch "computer" --engines tor66 deeplink phobos --limit 3
122 | ```
123 |
124 | Please kindly note that the list of supported engines (and their keys) is given in the script help (-h).
125 |
126 |
127 | ### Output
128 |
129 | #### Default output
130 |
131 | By default, the file is written at the end of the process. The file will be csv formatted, containing the following columns:
132 | ```
133 | "engine","name of the link","url"
134 | ```
135 |
136 | #### Customizing the output fields
137 |
138 | You can customize what will be flush in the output file by using the parameters `--fields` and `--field_delimiter`.
139 |
140 | `--fields` allows you to add, remove, re-order the output fields. The default mode is show just below. Instead, you can for instance
141 | choose to output:
142 | ```
143 | "engine","name of the link","url","domain"
144 | ```
145 | by setting `--fields engine name link domain`.
146 |
147 | Or even, you can choose to output:
148 | ```
149 | "engine","domain"
150 | ```
151 | by setting `--fields engine domain`.
152 |
153 | These are examples but there are many possibilities.
154 |
155 | Finally, you can also choose to modify the CSV delimiter (comma by default), for instance: `--field_delimiter ";"`.
156 |
157 | #### Changing filename
158 |
159 | The filename will be set by default to `output_$DATE_$SEARCH.txt`, where $DATE represents the current datetime and $SEARCH the first
160 | characters of the search string.
161 |
162 | You can modify this filename by using `--output` when running the script, for instance:
163 | ```
164 | onionsearch "computer" --output "\$DATE.csv"
165 | onionsearch "computer" --output output.txt
166 | onionsearch "computer" --output "\$DATE_\$SEARCH.csv"
167 | ...
168 | ```
169 | (Note that it might be necessary to escape the dollar character.)
170 |
171 | In the csv file produced, the name and url strings are sanitized as much as possible, but there might still be some problems...
172 |
173 | #### Write progressively
174 |
175 | You can choose to progressively write to the output (instead of everything at the end, which would prevent
176 | losing the results if something goes wrong). To do so you have to use `--continuous_write True`, just as is:
177 | ```
178 | onionsearch "computer" --continuous_write True
179 | ```
180 | You can then use the `tail -f` (tail follow) Unix command to actively watch or monitor the results of the scraping.
181 | ## Thank you to [Gobarigo](https://github.com/Gobarigo)
182 | ## Thank you [mxrch](https://github.com/mxrch) for this logo
183 |
184 | ## 📝 License
185 | [GNU General Public License v3.0](https://www.gnu.org/licenses/gpl-3.0.fr.html)
186 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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674 | .
675 |
--------------------------------------------------------------------------------
/onionsearch/core.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/python3
2 |
3 | import argparse
4 | import csv
5 | import math
6 | import re
7 | import time
8 | from datetime import datetime
9 | from functools import reduce
10 | from random import choice
11 | from multiprocessing import Pool, cpu_count, current_process, freeze_support
12 | from tqdm import tqdm
13 |
14 | import requests
15 | import urllib.parse as urlparse
16 | from urllib.parse import parse_qs
17 | from urllib.parse import quote
18 | from urllib.parse import unquote
19 | from bs4 import BeautifulSoup
20 | from urllib3.exceptions import ProtocolError
21 |
22 | ENGINES = {
23 | "ahmia": "http://juhanurmihxlp77nkq76byazcldy2hlmovfu2epvl5ankdibsot4csyd.onion", # Offline?
24 | "darksearchio": "http://darksearch.io",
25 | "onionland": "http://3bbad7fauom4d6sgppalyqddsqbf5u5p56b5k5uk2zxsy3d6ey2jobad.onion",
26 | "notevil": "http://hss3uro2hsxfogfq.onion", # Offline?
27 | "darksearchenginer": "http://l4rsciqnpzdndt2llgjx3luvnxip7vbyj6k6nmdy4xs77tx6gkd24ead.onion",
28 | "phobos": "http://phobosxilamwcg75xt22id7aywkzol6q6rfl2flipcqoc4e4ahima5id.onion",
29 | "onionsearchserver": "http://3fzh7yuupdfyjhwt3ugzqqof6ulbcl27ecev33knxe3u7goi3vfn2qqd.onion",
30 | "torgle": "http://no6m4wzdexe3auiupv2zwif7rm6qwxcyhslkcnzisxgeiw6pvjsgafad.onion", # "torgle" -> "Submarine"
31 | "torgle1": "http://torgle5fj664v7pf.onion", # Offline?
32 | "onionsearchengine": "http://onionf4j3fwqpeo5.onion", # Offline?
33 | "tordex": "http://tordex7iie7z2wcg.onion", # Offline?
34 | "tor66": "http://tor66sewebgixwhcqfnp5inzp5x5uohhdy3kvtnyfxc2e5mxiuh34iid.onion",
35 | "tormax": "http://tormaxunodsbvtgo.onion", # Offline?
36 | "haystack": "http://haystak5njsmn2hqkewecpaxetahtwhsbsa64jom2k22z5afxhnpxfid.onion",
37 | "multivac": "http://multivacigqzqqon.onion", # Offline?
38 | "evosearch": "http://evo7no6twwwrm63c.onion", # Offline?
39 | "deeplink": "http://deeplinkdeatbml7.onion", # Offline?
40 | }
41 |
42 | desktop_agents = [
43 | 'Mozilla/5.0 (Windows NT 10.0; rv:78.0) Gecko/20100101 Firefox/78.0', # Tor Browser for Windows and Linux
44 | 'Mozilla/5.0 (Android 10; Mobile; rv:91.0) Gecko/91.0 Firefox/91.0', # Tor Browser for Android
45 | 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
46 | 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
47 | 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) '
48 | 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
49 | 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_1) '
50 | 'AppleWebKit/602.2.14 (KHTML, like Gecko) Version/10.0.1 Safari/602.2.14',
51 | 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36',
52 | 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_1) '
53 | 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',
54 | 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) '
55 | 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.98 Safari/537.36',
56 | 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36',
57 | 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36',
58 | 'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:50.0) Gecko/20100101 Firefox/50.0'
59 | ]
60 |
61 | supported_engines = ENGINES
62 |
63 | available_csv_fields = [
64 | "engine",
65 | "name",
66 | "link",
67 | "domain"
68 | ]
69 |
70 |
71 | def print_epilog():
72 | epilog = "Available CSV fields: \n\t"
73 | for f in available_csv_fields:
74 | epilog += " {}".format(f)
75 | epilog += "\n"
76 | epilog += "Supported engines: \n\t"
77 | for e in supported_engines.keys():
78 | epilog += " {}".format(e)
79 | return epilog
80 |
81 |
82 | parser = argparse.ArgumentParser(epilog=print_epilog(), formatter_class=argparse.RawTextHelpFormatter)
83 | parser.add_argument("--proxy", default='localhost:9050', type=str, help="Set Tor proxy (default: 127.0.0.1:9050)")
84 | parser.add_argument("--output", default='output_$SEARCH_$DATE.txt', type=str,
85 | help="Output File (default: output_$SEARCH_$DATE.txt), where $SEARCH is replaced by the first "
86 | "chars of the search string and $DATE is replaced by the datetime")
87 | parser.add_argument("--continuous_write", type=bool, default=False,
88 | help="Write progressively to output file (default: False)")
89 | parser.add_argument("search", type=str, help="The search string or phrase")
90 | parser.add_argument("--limit", type=int, default=0, help="Set a max number of pages per engine to load")
91 | parser.add_argument("--engines", type=str, action='append', help='Engines to request (default: full list)', nargs="*")
92 | parser.add_argument("--exclude", type=str, action='append', help='Engines to exclude (default: none)', nargs="*")
93 | parser.add_argument("--fields", type=str, action='append',
94 | help='Fields to output to csv file (default: engine name link), available fields are shown below',
95 | nargs="*")
96 | parser.add_argument("--field_delimiter", type=str, default=",", help='Delimiter for the CSV fields')
97 | parser.add_argument("--mp_units", type=int, default=(cpu_count() - 1), help="Number of processing units (default: "
98 | "core number minus 1)")
99 |
100 | args = parser.parse_args()
101 | proxies = {'http': 'socks5h://{}'.format(args.proxy), 'https': 'socks5h://{}'.format(args.proxy)}
102 | filename = args.output
103 | field_delim = ","
104 | if args.field_delimiter and len(args.field_delimiter) == 1:
105 | field_delim = args.field_delimiter
106 |
107 |
108 | def random_headers():
109 | return {'User-Agent': choice(desktop_agents),
110 | 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8'}
111 |
112 |
113 | def clear(toclear):
114 | str = toclear.replace("\n", " ")
115 | str = ' '.join(str.split())
116 | return str
117 |
118 |
119 | def get_parameter(url, parameter_name):
120 | parsed = urlparse.urlparse(url)
121 | return parse_qs(parsed.query)[parameter_name][0]
122 |
123 |
124 | def get_proc_pos():
125 | return (current_process()._identity[0]) - 1
126 |
127 |
128 | def get_tqdm_desc(e_name, pos):
129 | return "%20s (#%d)" % (e_name, pos)
130 |
131 |
132 | def ahmia(searchstr):
133 | results = []
134 | ahmia_url = supported_engines['ahmia'] + "/search/?q={}"
135 |
136 | pos = get_proc_pos()
137 | with tqdm(total=1, initial=0, desc=get_tqdm_desc("Ahmia", pos), position=pos) as progress_bar:
138 | response = requests.get(ahmia_url.format(quote(searchstr)), proxies=proxies, headers=random_headers())
139 | soup = BeautifulSoup(response.text, 'html5lib')
140 | results = link_finder("ahmia", soup)
141 | progress_bar.update()
142 |
143 | return results
144 |
145 |
146 |
147 |
148 | def darksearchio(searchstr):
149 | results = []
150 | darksearchio_url = supported_engines['darksearchio'] + "/api/search?query={}&page={}"
151 | max_nb_page = 30
152 | if args.limit != 0:
153 | max_nb_page = args.limit
154 |
155 | with requests.Session() as s:
156 | s.proxies = proxies
157 | s.headers = random_headers()
158 | resp = s.get(darksearchio_url.format(quote(searchstr), 1))
159 |
160 | page_number = 1
161 | if resp.status_code == 200:
162 | resp = resp.json()
163 | if 'last_page' in resp:
164 | page_number = resp['last_page']
165 | if page_number > max_nb_page:
166 | page_number = max_nb_page
167 | else:
168 | return
169 |
170 | pos = get_proc_pos()
171 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("DarkSearch (.io)", pos), position=pos) \
172 | as progress_bar:
173 |
174 | results = link_finder("darksearchio", resp['data'])
175 | progress_bar.update()
176 |
177 | for n in range(2, page_number + 1):
178 | resp = s.get(darksearchio_url.format(quote(searchstr), n))
179 | if resp.status_code == 200:
180 | resp = resp.json()
181 | results = results + link_finder("darksearchio", resp['data'])
182 | progress_bar.update()
183 | else:
184 | # Current page results will be lost but we will try to continue after a short sleep
185 | time.sleep(1)
186 |
187 | return results
188 |
189 |
190 | def onionland(searchstr):
191 | results = []
192 | onionlandv3_url = supported_engines['onionland'] + "/search?q={}&page={}"
193 | max_nb_page = 100
194 | if args.limit != 0:
195 | max_nb_page = args.limit
196 |
197 | with requests.Session() as s:
198 | s.proxies = proxies
199 | s.headers = random_headers()
200 |
201 | resp = s.get(onionlandv3_url.format(quote(searchstr), 1))
202 | soup = BeautifulSoup(resp.text, 'html5lib')
203 |
204 | page_number = 1
205 | for i in soup.find_all('div', attrs={"class": "search-status"}):
206 | approx_re = re.match(r"About ([,0-9]+) result(.*)",
207 | clear(i.find('div', attrs={'class': "col-sm-12"}).get_text()))
208 | if approx_re is not None:
209 | nb_res = int((approx_re.group(1)).replace(",", ""))
210 | results_per_page = 19
211 | page_number = math.ceil(nb_res / results_per_page)
212 | if page_number > max_nb_page:
213 | page_number = max_nb_page
214 |
215 | pos = get_proc_pos()
216 | with tqdm(total=max_nb_page, initial=0, desc=get_tqdm_desc("OnionLand", pos), position=pos) as progress_bar:
217 |
218 | results = link_finder("onionland", soup)
219 | progress_bar.update()
220 |
221 | for n in range(2, page_number + 1):
222 | resp = s.get(onionlandv3_url.format(quote(searchstr), n))
223 | soup = BeautifulSoup(resp.text, 'html5lib')
224 | ret = link_finder("onionland", soup)
225 | if len(ret) == 0:
226 | break
227 | results = results + ret
228 | progress_bar.update()
229 |
230 | return results
231 |
232 |
233 | def notevil(searchstr):
234 | results = []
235 | notevil_url1 = supported_engines['notevil'] + "/index.php?q={}"
236 | notevil_url2 = supported_engines['notevil'] + "/index.php?q={}&hostLimit=20&start={}&numRows={}&template=0"
237 | max_nb_page = 20
238 | if args.limit != 0:
239 | max_nb_page = args.limit
240 |
241 | # Do not use requests.Session() here (by experience less results would be got)
242 | req = requests.get(notevil_url1.format(quote(searchstr)), proxies=proxies, headers=random_headers())
243 | soup = BeautifulSoup(req.text, 'html5lib')
244 |
245 | page_number = 1
246 | last_div = soup.find("div", attrs={"style": "text-align:center"}).find("div", attrs={"style": "text-align:center"})
247 | if last_div is not None:
248 | for i in last_div.find_all("a"):
249 | page_number = int(i.get_text())
250 | if page_number > max_nb_page:
251 | page_number = max_nb_page
252 |
253 | pos = get_proc_pos()
254 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("not Evil", pos), position=pos) as progress_bar:
255 | num_rows = 20
256 | results = link_finder("notevil", soup)
257 | progress_bar.update()
258 |
259 | for n in range(2, page_number + 1):
260 | start = (int(n - 1) * num_rows)
261 | req = requests.get(notevil_url2.format(quote(searchstr), start, num_rows),
262 | proxies=proxies,
263 | headers=random_headers())
264 | soup = BeautifulSoup(req.text, 'html5lib')
265 | results = results + link_finder("notevil", soup)
266 | progress_bar.update()
267 | time.sleep(1)
268 |
269 | return results
270 |
271 |
272 |
273 |
274 | def darksearchenginer(searchstr):
275 | results = []
276 | darksearchenginer_url = supported_engines['darksearchenginer']
277 | max_nb_page = 20
278 | if args.limit != 0:
279 | max_nb_page = args.limit
280 | page_number = 1
281 |
282 | with requests.Session() as s:
283 | s.proxies = proxies
284 | s.headers = random_headers()
285 |
286 | # Note that this search engine is very likely to timeout
287 | resp = s.post(darksearchenginer_url, data={"search[keyword]": searchstr, "page": page_number})
288 | soup = BeautifulSoup(resp.text, 'html5lib')
289 |
290 | pages_input = soup.find_all("input", attrs={"name": "page"})
291 | for i in pages_input:
292 | page_number = int(i['value'])
293 | if page_number > max_nb_page:
294 | page_number = max_nb_page
295 |
296 | pos = get_proc_pos()
297 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Dark Search Enginer", pos), position=pos) \
298 | as progress_bar:
299 |
300 | results = link_finder("darksearchenginer", soup)
301 | progress_bar.update()
302 |
303 | for n in range(2, page_number + 1):
304 | resp = s.post(darksearchenginer_url, data={"search[keyword]": searchstr, "page": str(n)})
305 | soup = BeautifulSoup(resp.text, 'html5lib')
306 | results = results + link_finder("darksearchenginer", soup)
307 | progress_bar.update()
308 |
309 | return results
310 |
311 |
312 | def phobos(searchstr):
313 | results = []
314 | phobos_url = supported_engines['phobos'] + "/search?query={}&p={}"
315 | max_nb_page = 100
316 | if args.limit != 0:
317 | max_nb_page = args.limit
318 |
319 | with requests.Session() as s:
320 | s.proxies = proxies
321 | s.headers = random_headers()
322 |
323 | resp = s.get(phobos_url.format(quote(searchstr), 1), proxies=proxies, headers=random_headers())
324 | soup = BeautifulSoup(resp.text, 'html5lib')
325 |
326 | page_number = 1
327 | pages = soup.find("div", attrs={"class": "pages"}).find_all('a')
328 | if pages is not None:
329 | for i in pages:
330 | page_number = int(i.get_text())
331 | if page_number > max_nb_page:
332 | page_number = max_nb_page
333 |
334 | pos = get_proc_pos()
335 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Phobos", pos), position=pos) as progress_bar:
336 | results = link_finder("phobos", soup)
337 | progress_bar.update()
338 |
339 | for n in range(2, page_number + 1):
340 | resp = s.get(phobos_url.format(quote(searchstr), n), proxies=proxies, headers=random_headers())
341 | soup = BeautifulSoup(resp.text, 'html5lib')
342 | results = results + link_finder("phobos", soup)
343 | progress_bar.update()
344 |
345 | return results
346 |
347 |
348 | def onionsearchserver(searchstr):
349 | results = []
350 | onionsearchserver_url1 = supported_engines['onionsearchserver'] + "/oss/"
351 | onionsearchserver_url2 = None
352 | results_per_page = 10
353 | max_nb_page = 100
354 | if args.limit != 0:
355 | max_nb_page = args.limit
356 |
357 | with requests.Session() as s:
358 | s.proxies = proxies
359 | s.headers = random_headers()
360 |
361 | resp = s.get(onionsearchserver_url1)
362 | soup = BeautifulSoup(resp.text, 'html5lib')
363 | for i in soup.find_all('iframe', attrs={"style": "display:none;"}):
364 | onionsearchserver_url2 = i['src'] + "{}&page={}"
365 |
366 | if onionsearchserver_url2 is None:
367 | return results
368 |
369 | resp = s.get(onionsearchserver_url2.format(quote(searchstr), 1))
370 | soup = BeautifulSoup(resp.text, 'html5lib')
371 |
372 | page_number = 1
373 | pages = soup.find_all("div", attrs={"class": "osscmnrdr ossnumfound"})
374 | if pages is not None and not str(pages[0].get_text()).startswith("No"):
375 | total_results = float(str.split(clear(pages[0].get_text()))[0])
376 | page_number = math.ceil(total_results / results_per_page)
377 | if page_number > max_nb_page:
378 | page_number = max_nb_page
379 |
380 | pos = get_proc_pos()
381 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Onion Search Server", pos), position=pos) \
382 | as progress_bar:
383 |
384 | results = link_finder("onionsearchserver", soup)
385 | progress_bar.update()
386 |
387 | for n in range(2, page_number + 1):
388 | resp = s.get(onionsearchserver_url2.format(quote(searchstr), n))
389 | soup = BeautifulSoup(resp.text, 'html5lib')
390 | results = results + link_finder("onionsearchserver", soup)
391 | progress_bar.update()
392 |
393 | return results
394 |
395 |
396 |
397 | def torgle(searchstr):
398 | results = []
399 | torgle_url = supported_engines['torgle'] + "/search.php?term={}"
400 |
401 | pos = get_proc_pos()
402 | with tqdm(total=1, initial=0, desc=get_tqdm_desc("Torgle", pos), position=pos) as progress_bar:
403 | response = requests.get(torgle_url.format(quote(searchstr)), proxies=proxies, headers=random_headers())
404 | soup = BeautifulSoup(response.text, 'html5lib')
405 | results = link_finder("torgle", soup)
406 | progress_bar.update()
407 |
408 | return results
409 |
410 |
411 | def onionsearchengine(searchstr):
412 | results = []
413 | onionsearchengine_url = supported_engines['onionsearchengine'] + "/search.php?search={}&submit=Search&page={}"
414 | # same as onionsearchengine_url = "http://5u56fjmxu63xcmbk.onion/search.php?search={}&submit=Search&page={}"
415 | max_nb_page = 100
416 | if args.limit != 0:
417 | max_nb_page = args.limit
418 |
419 | with requests.Session() as s:
420 | s.proxies = proxies
421 | s.headers = random_headers()
422 |
423 | resp = s.get(onionsearchengine_url.format(quote(searchstr), 1))
424 | soup = BeautifulSoup(resp.text, 'html5lib')
425 |
426 | page_number = 1
427 | approx_re = re.search(r"\s([0-9]+)\sresult[s]?\sfound\s!.*", clear(soup.find('body').get_text()))
428 | if approx_re is not None:
429 | nb_res = int(approx_re.group(1))
430 | results_per_page = 9
431 | page_number = math.ceil(float(nb_res / results_per_page))
432 | if page_number > max_nb_page:
433 | page_number = max_nb_page
434 |
435 | pos = get_proc_pos()
436 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Onion Search Engine", pos), position=pos) \
437 | as progress_bar:
438 |
439 | results = link_finder("onionsearchengine", soup)
440 | progress_bar.update()
441 |
442 | for n in range(2, page_number + 1):
443 | resp = s.get(onionsearchengine_url.format(quote(searchstr), n))
444 | soup = BeautifulSoup(resp.text, 'html5lib')
445 | results = results + link_finder("onionsearchengine", soup)
446 | progress_bar.update()
447 |
448 | return results
449 |
450 |
451 | def tordex(searchstr):
452 | results = []
453 | tordex_url = supported_engines['tordex'] + "/search?query={}&page={}"
454 | max_nb_page = 100
455 | if args.limit != 0:
456 | max_nb_page = args.limit
457 |
458 | with requests.Session() as s:
459 | s.proxies = proxies
460 | s.headers = random_headers()
461 |
462 | resp = s.get(tordex_url.format(quote(searchstr), 1))
463 | soup = BeautifulSoup(resp.text, 'html5lib')
464 |
465 | page_number = 1
466 | pages = soup.find_all("li", attrs={"class": "page-item"})
467 | if pages is not None:
468 | for i in pages:
469 | if i.get_text() != "...":
470 | page_number = int(i.get_text())
471 | if page_number > max_nb_page:
472 | page_number = max_nb_page
473 |
474 | pos = get_proc_pos()
475 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Tordex", pos), position=pos) as progress_bar:
476 |
477 | results = link_finder("tordex", soup)
478 | progress_bar.update()
479 |
480 | for n in range(2, page_number + 1):
481 | resp = s.get(tordex_url.format(quote(searchstr), n))
482 | soup = BeautifulSoup(resp.text, 'html5lib')
483 | results = results + link_finder("tordex", soup)
484 | progress_bar.update()
485 |
486 | return results
487 |
488 |
489 | def tor66(searchstr):
490 | results = []
491 | tor66_url = supported_engines['tor66'] + "/search?q={}&sorttype=rel&page={}"
492 | max_nb_page = 30
493 | if args.limit != 0:
494 | max_nb_page = args.limit
495 |
496 | with requests.Session() as s:
497 | s.proxies = proxies
498 | s.headers = random_headers()
499 |
500 | resp = s.get(tor66_url.format(quote(searchstr), 1))
501 | soup = BeautifulSoup(resp.text, 'html5lib')
502 |
503 | page_number = 1
504 | approx_re = re.search(r"\.Onion\ssites\sfound\s:\s([0-9]+)", resp.text)
505 | if approx_re is not None:
506 | nb_res = int(approx_re.group(1))
507 | results_per_page = 20
508 | page_number = math.ceil(float(nb_res / results_per_page))
509 | if page_number > max_nb_page:
510 | page_number = max_nb_page
511 |
512 | pos = get_proc_pos()
513 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Tor66", pos), position=pos) as progress_bar:
514 |
515 | results = link_finder("tor66", soup)
516 | progress_bar.update()
517 |
518 | for n in range(2, page_number + 1):
519 | resp = s.get(tor66_url.format(quote(searchstr), n))
520 | soup = BeautifulSoup(resp.text, 'html5lib')
521 | results = results + link_finder("tor66", soup)
522 | progress_bar.update()
523 |
524 | return results
525 |
526 |
527 | def tormax(searchstr):
528 | results = []
529 | tormax_url = supported_engines['tormax'] + "/search?q={}"
530 |
531 | pos = get_proc_pos()
532 | with tqdm(total=1, initial=0, desc=get_tqdm_desc("Tormax", pos), position=pos) as progress_bar:
533 | response = requests.get(tormax_url.format(quote(searchstr)), proxies=proxies, headers=random_headers())
534 | soup = BeautifulSoup(response.text, 'html5lib')
535 | results = link_finder("tormax", soup)
536 | progress_bar.update()
537 |
538 | return results
539 |
540 |
541 | def haystack(searchstr):
542 | results = []
543 | haystack_url = supported_engines['haystack'] + "/?q={}&offset={}"
544 | # At the 52nd page, it timeouts 100% of the time
545 | max_nb_page = 50
546 | if args.limit != 0:
547 | max_nb_page = args.limit
548 | offset_coeff = 20
549 |
550 | with requests.Session() as s:
551 | s.proxies = proxies
552 | s.headers = random_headers()
553 |
554 | req = s.get(haystack_url.format(quote(searchstr), 0))
555 | soup = BeautifulSoup(req.text, 'html5lib')
556 |
557 | pos = get_proc_pos()
558 | with tqdm(total=max_nb_page, initial=0, desc=get_tqdm_desc("Haystack", pos), position=pos) as progress_bar:
559 | continue_processing = True
560 | ret = link_finder("haystack", soup)
561 | results = results + ret
562 | progress_bar.update()
563 | if len(ret) == 0:
564 | continue_processing = False
565 |
566 | it = 1
567 | while continue_processing:
568 | offset = int(it * offset_coeff)
569 | req = s.get(haystack_url.format(quote(searchstr), offset))
570 | soup = BeautifulSoup(req.text, 'html5lib')
571 | ret = link_finder("haystack", soup)
572 | results = results + ret
573 | progress_bar.update()
574 | it += 1
575 | if it >= max_nb_page or len(ret) == 0:
576 | continue_processing = False
577 |
578 | return results
579 |
580 |
581 | def multivac(searchstr):
582 | results = []
583 | multivac_url = supported_engines['multivac'] + "/?q={}&page={}"
584 | max_nb_page = 10
585 | if args.limit != 0:
586 | max_nb_page = args.limit
587 |
588 | with requests.Session() as s:
589 | s.proxies = proxies
590 | s.headers = random_headers()
591 |
592 | page_to_request = 1
593 | req = s.get(multivac_url.format(quote(searchstr), page_to_request))
594 | soup = BeautifulSoup(req.text, 'html5lib')
595 |
596 | pos = get_proc_pos()
597 | with tqdm(total=max_nb_page, initial=0, desc=get_tqdm_desc("Multivac", pos), position=pos) as progress_bar:
598 | continue_processing = True
599 | ret = link_finder("multivac", soup)
600 | results = results + ret
601 | progress_bar.update()
602 | if len(ret) == 0 or page_to_request >= max_nb_page:
603 | continue_processing = False
604 |
605 | while continue_processing:
606 | page_to_request += 1
607 | req = s.get(multivac_url.format(quote(searchstr), page_to_request))
608 | soup = BeautifulSoup(req.text, 'html5lib')
609 | ret = link_finder("multivac", soup)
610 | results = results + ret
611 | progress_bar.update()
612 | if len(ret) == 0 or page_to_request >= max_nb_page:
613 | continue_processing = False
614 |
615 | return results
616 |
617 |
618 | def evosearch(searchstr):
619 | results = []
620 | evosearch_url = supported_engines['evosearch'] + "/evo/search.php?" \
621 | "query={}&" \
622 | "start={}&" \
623 | "search=1&type=and&mark=bold+text&" \
624 | "results={}"
625 | results_per_page = 50
626 | max_nb_page = 30
627 | if args.limit != 0:
628 | max_nb_page = args.limit
629 |
630 | with requests.Session() as s:
631 | s.proxies = proxies
632 | s.headers = random_headers()
633 |
634 | req = s.get(evosearch_url.format(quote(searchstr), 1, results_per_page))
635 | soup = BeautifulSoup(req.text, 'html5lib')
636 |
637 | page_number = 1
638 | i = soup.find("p", attrs={"class": "cntr"})
639 | if i is not None:
640 | if i.get_text() is not None and "of" in i.get_text():
641 | nb_res = float(clear(str.split(i.get_text().split("-")[1].split("of")[1])[0]))
642 | page_number = math.ceil(nb_res / results_per_page)
643 | if page_number > max_nb_page:
644 | page_number = max_nb_page
645 |
646 | pos = get_proc_pos()
647 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Evo Search", pos), position=pos) as progress_bar:
648 | results = link_finder("evosearch", soup)
649 | progress_bar.update()
650 |
651 | for n in range(2, page_number + 1):
652 | resp = s.get(evosearch_url.format(quote(searchstr), n, results_per_page))
653 | soup = BeautifulSoup(resp.text, 'html5lib')
654 | results = results + link_finder("evosearch", soup)
655 | progress_bar.update()
656 |
657 | return results
658 |
659 |
660 |
661 | def deeplink(searchstr):
662 | results = []
663 | deeplink_url1 = supported_engines['deeplink'] + "/index.php"
664 | deeplink_url2 = supported_engines['deeplink'] + "/?search={}&type=verified"
665 |
666 | with requests.Session() as s:
667 | s.proxies = proxies
668 | s.headers = random_headers()
669 | s.get(deeplink_url1)
670 |
671 | pos = get_proc_pos()
672 | with tqdm(total=1, initial=0, desc=get_tqdm_desc("DeepLink", pos), position=pos) as progress_bar:
673 | response = s.get(deeplink_url2.format(quote(searchstr)))
674 | soup = BeautifulSoup(response.text, 'html5lib')
675 | results = link_finder("deeplink", soup)
676 | progress_bar.update()
677 |
678 | return results
679 |
680 |
681 |
682 | def torgle1(searchstr):
683 | results = []
684 | torgle1_url = supported_engines['torgle1'] + "/torgle/index-frame.php?query={}&search=1&engine-ver=2&isframe=0{}"
685 | results_per_page = 10
686 | max_nb_page = 30
687 | if args.limit != 0:
688 | max_nb_page = args.limit
689 |
690 | with requests.Session() as s:
691 | s.proxies = proxies
692 | s.headers = random_headers()
693 |
694 | resp = s.get(torgle1_url.format(quote(searchstr), ""))
695 | soup = BeautifulSoup(resp.text, 'html5lib')
696 |
697 | page_number = 1
698 | i = soup.find('div', attrs={"id": "result_report"})
699 | if i is not None:
700 | if i.get_text() is not None and "of" in i.get_text():
701 | res_re = re.match(r".*of\s([0-9]+)\s.*", clear(i.get_text()))
702 | total_results = int(res_re.group(1))
703 | page_number = math.ceil(total_results / results_per_page)
704 | if page_number > max_nb_page:
705 | page_number = max_nb_page
706 |
707 | pos = get_proc_pos()
708 | with tqdm(total=page_number, initial=0, desc=get_tqdm_desc("Torgle 1", pos), position=pos) as progress_bar:
709 | results = link_finder("torgle1", soup)
710 | progress_bar.update()
711 |
712 | for n in range(2, page_number + 1):
713 | start_page_param = "&start={}".format(n)
714 | resp = s.get(torgle1_url.format(quote(searchstr), start_page_param))
715 | soup = BeautifulSoup(resp.text, 'html5lib')
716 | results = results + link_finder("torgle1", soup)
717 | progress_bar.update()
718 |
719 | return results
720 |
721 |
722 |
723 |
724 | def get_domain_from_url(link):
725 | fqdn_re = r"^[a-z][a-z0-9+\-.]*://([a-z0-9\-._~%!$&'()*+,;=]+@)?([a-z0-9\-._~%]+|\[[a-z0-9\-._~%!$&'()*+,;=:]+\])"
726 | domain_re = re.match(fqdn_re, link)
727 | if domain_re is not None:
728 | if domain_re.lastindex == 2:
729 | return domain_re.group(2)
730 | return None
731 |
732 |
733 | def write_to_csv(csv_writer, fields):
734 | line_to_write = []
735 | if args.fields and len(args.fields) > 0:
736 | for f in args.fields[0]:
737 | if f in fields:
738 | line_to_write.append(fields[f])
739 | if f == "domain":
740 | domain = get_domain_from_url(fields['link'])
741 | line_to_write.append(domain)
742 | csv_writer.writerow(line_to_write)
743 | else:
744 | # Default output mode
745 | line_to_write.append(fields['engine'])
746 | line_to_write.append(fields['name'])
747 | line_to_write.append(fields['link'])
748 | csv_writer.writerow(line_to_write)
749 |
750 |
751 | def link_finder(engine_str, data_obj):
752 | global filename
753 | name = ""
754 | link = ""
755 | csv_file = None
756 | found_links = []
757 |
758 | if args.continuous_write:
759 | csv_file = open(filename, 'a', newline='')
760 |
761 | def add_link():
762 | found_links.append({"engine": engine_str, "name": name, "link": link})
763 |
764 | if args.continuous_write and csv_file.writable():
765 | csv_writer = csv.writer(csv_file, delimiter=field_delim, quoting=csv.QUOTE_ALL)
766 | fields = {"engine": engine_str, "name": name, "link": link}
767 | write_to_csv(csv_writer, fields)
768 |
769 | if engine_str == "ahmia":
770 | for r in data_obj.select('li.result h4'):
771 | name = clear(r.get_text())
772 | link = r.find('a')['href'].split('redirect_url=')[1]
773 | add_link()
774 |
775 | if engine_str == "darksearchenginer":
776 | for r in data_obj.select('.table-responsive a'):
777 | name = clear(r.get_text())
778 | link = clear(r['href'])
779 | add_link()
780 |
781 | if engine_str == "darksearchio":
782 | for r in data_obj:
783 | name = clear(r["title"])
784 | link = clear(r["link"])
785 | add_link()
786 |
787 | if engine_str == "deeplink":
788 | for tr in data_obj.find_all('tr'):
789 | cels = tr.find_all('td')
790 | if cels is not None and len(cels) == 4:
791 | name = clear(cels[1].get_text())
792 | link = clear(cels[0].find('a')['href'])
793 | add_link()
794 |
795 | if engine_str == "evosearch":
796 | for r in data_obj.select("#results .title a"):
797 | name = clear(r.get_text())
798 | link = get_parameter(r['href'], 'url')
799 | add_link()
800 |
801 |
802 |
803 | if engine_str == "haystack":
804 | for r in data_obj.select(".result b a"):
805 | name = clear(r.get_text())
806 | link = get_parameter(r['href'], 'url')
807 | add_link()
808 |
809 | if engine_str == "multivac":
810 | for r in data_obj.select("dl dt a"):
811 | if r['href'] != "":
812 | name = clear(r.get_text())
813 | link = clear(r['href'])
814 | add_link()
815 | else:
816 | break
817 |
818 | if engine_str == "notevil":
819 | for r in data_obj.find_all("p"):
820 | r=r.find("a")
821 | name = clear(r.get_text())
822 | link = unquote(r["href"]).split('./r2d.php?url=')[1].split('&')[0]
823 | add_link()
824 |
825 |
826 | if engine_str == "onionland":
827 | for r in data_obj.select('.result-block .title a'):
828 | if not r['href'].startswith('/ads/'):
829 | name = clear(r.get_text())
830 | link = unquote(unquote(get_parameter(r['href'], 'l')))
831 | add_link()
832 |
833 | if engine_str == "onionsearchengine":
834 | for r in data_obj.select("table a b"):
835 | name = clear(r.get_text())
836 | link = get_parameter(r.parent['href'], 'u')
837 | add_link()
838 |
839 | if engine_str == "onionsearchserver":
840 | for r in data_obj.select('.osscmnrdr.ossfieldrdr1 a'):
841 | name = clear(r.get_text())
842 | link = clear(r['href'])
843 | add_link()
844 |
845 | if engine_str == "phobos":
846 | for r in data_obj.select('.serp .titles'):
847 | name = clear(r.get_text())
848 | link = clear(r['href'])
849 | add_link()
850 |
851 | if engine_str == "tor66":
852 | for i in data_obj.find('hr').find_all_next('b'):
853 | if i.find('a'):
854 | name = clear(i.find('a').get_text())
855 | link = clear(i.find('a')['href'])
856 | add_link()
857 |
858 |
859 | if engine_str == "tordex":
860 | for r in data_obj.select('.container h5 a'):
861 | name = clear(r.get_text())
862 | link = clear(r['href'])
863 | add_link()
864 |
865 | if engine_str == "torgle":
866 | for i in data_obj.find_all('ul', attrs={"id": "page"}):
867 | for j in i.find_all('a'):
868 | if str(j.get_text()).startswith("http"):
869 | link = clear(j.get_text())
870 | else:
871 | name = clear(j.get_text())
872 | add_link()
873 |
874 | if engine_str == "torgle1":
875 | for r in data_obj.select("#results a.title"):
876 | name = clear(r.get_text())
877 | link = clear(r['href'])
878 | add_link()
879 |
880 | if engine_str == "tormax":
881 | for r in data_obj.find_all("section",attrs={"id":"search-results"})[0].find_all("article"):
882 | name = clear(r.find('a',attrs={"class":"title"}).get_text())
883 | link = clear(r.find('div',attrs={"class":"url"}).get_text())
884 | add_link()
885 |
886 |
887 |
888 | if args.continuous_write and not csv_file.closed:
889 | csv_file.close()
890 |
891 | return found_links
892 |
893 |
894 | def run_method(method_name_and_argument):
895 | method_name = method_name_and_argument.split(':')[0]
896 | argument = method_name_and_argument.split(':')[1]
897 | ret = []
898 | try:
899 | ret = globals()[method_name](argument)
900 | except Exception as e:
901 | print(f'Exception occured: {e}')
902 | return ret
903 |
904 |
905 | def scrape():
906 | global filename
907 |
908 | start_time = datetime.now()
909 |
910 | # Building the filename
911 | filename = str(filename).replace("$DATE", start_time.strftime("%Y%m%d%H%M%S"))
912 | search = str(args.search).replace(" ", "")
913 | if len(search) > 10:
914 | search = search[0:9]
915 | filename = str(filename).replace("$SEARCH", search)
916 |
917 | func_args = []
918 | stats_dict = {}
919 | if args.engines and len(args.engines) > 0:
920 | eng = args.engines[0]
921 | for e in eng:
922 | try:
923 | if not (args.exclude and len(args.exclude) > 0 and e in args.exclude[0]):
924 | func_args.append("{}:{}".format(e, args.search))
925 | stats_dict[e] = 0
926 | except KeyError:
927 | print("Error: search engine {} not in the list of supported engines".format(e))
928 | else:
929 | for e in supported_engines.keys():
930 | if not (args.exclude and len(args.exclude) > 0 and e in args.exclude[0]):
931 | func_args.append("{}:{}".format(e, args.search))
932 | stats_dict[e] = 0
933 |
934 | # Doing multiprocessing
935 | if args.mp_units and args.mp_units > 0:
936 | units = args.mp_units
937 | else:
938 | # Use (cores count - 1), but not less then one, threads
939 | units = max((cpu_count() - 1), 1)
940 | print("search.py started with {} processing units...".format(units))
941 | freeze_support()
942 |
943 | results = {}
944 | with Pool(units) as p:
945 | results_map = p.map(run_method, func_args)
946 | results = reduce(lambda a, b: a + b if b is not None else a, results_map)
947 |
948 | stop_time = datetime.now()
949 |
950 | if not args.continuous_write:
951 | with open(filename, 'w', newline='') as csv_file:
952 | csv_writer = csv.writer(csv_file, delimiter=field_delim, quoting=csv.QUOTE_ALL)
953 | for r in results:
954 | write_to_csv(csv_writer, r)
955 |
956 | total = 0
957 | print("\nReport:")
958 | print(" Execution time: %s seconds" % (stop_time - start_time))
959 | print(" Results per engine:")
960 | for r in results:
961 | stats_dict[r['engine']] += 1
962 | for s in stats_dict:
963 | n = stats_dict[s]
964 | print(" {}: {}".format(s, str(n)))
965 | total += n
966 | print(" Total: {} links written to {}".format(str(total), filename))
967 |
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