├── .python-version ├── src └── google_images_scraper │ ├── __init__.py │ ├── models.py │ ├── exception.py │ ├── conf.py │ ├── __main__.py │ ├── collector.py │ └── scraper.py ├── .gitignore ├── Makefile ├── .flake8 ├── pyproject.toml ├── .pre-commit-config.yaml ├── README.md └── poetry.lock /.python-version: -------------------------------------------------------------------------------- 1 | 3.11.4 2 | -------------------------------------------------------------------------------- /src/google_images_scraper/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/google_images_scraper/models.py: -------------------------------------------------------------------------------- 1 | """ 2 | Pydantic models for Google Images scraper. 3 | """ 4 | 5 | from pydantic import BaseModel 6 | 7 | 8 | class Image(BaseModel): 9 | title: str 10 | url: str 11 | source_url: str 12 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | #mypy cache 7 | .mypy_cache 8 | 9 | # Environments 10 | .env 11 | .venv 12 | env/ 13 | venv/ 14 | ENV/ 15 | env.bak/ 16 | venv.bak/ 17 | 18 | # Generated CSV files 19 | *.csv 20 | 21 | .vscode/ 22 | -------------------------------------------------------------------------------- /src/google_images_scraper/exception.py: -------------------------------------------------------------------------------- 1 | """ 2 | Module for base exception class. 3 | """ 4 | 5 | 6 | class BaseException(Exception): 7 | """Base exception class""" 8 | 9 | message: str = "" 10 | 11 | def __init__(self, message: str | None = None) -> None: 12 | super().__init__(message or self.message) 13 | -------------------------------------------------------------------------------- /Makefile: -------------------------------------------------------------------------------- 1 | # Makefile for running the Google Images scraper 2 | 3 | 4 | .PHONY: install 5 | install: 6 | pip install poetry==1.8.2 7 | poetry install 8 | 9 | 10 | .PHONY: scrape 11 | scrape: 12 | @if [ -z "$(URL)" ]; then \ 13 | echo 'Error: A URL of an image to query is required. Use make scrape URL=""'; \ 14 | exit 1; \ 15 | else \ 16 | poetry run python -m google_images_scraper --url="$(URL)"; \ 17 | fi 18 | -------------------------------------------------------------------------------- /.flake8: -------------------------------------------------------------------------------- 1 | [flake8] 2 | min_python_version = 3.11 3 | max-line-length = 88 4 | ban-relative-imports = true 5 | format-greedy = 1 6 | inline-quotes = double 7 | mypy-init-return = true 8 | enable-extensions = TC, TC1 9 | type-checking-exempt-modules = typing, typing-extensions 10 | eradicate-whitelist-extend = ^-.*; 11 | extend-ignore = 12 | E203, 13 | SIM106, 14 | E501, 15 | INP001, 16 | W503, 17 | ANN001, 18 | ANN201, 19 | ANN002, 20 | ANN003, 21 | ANN101, 22 | ANN102, 23 | ANN204, 24 | ANN205, 25 | FS001, 26 | SIM119, 27 | -------------------------------------------------------------------------------- /src/google_images_scraper/conf.py: -------------------------------------------------------------------------------- 1 | """ 2 | Config module for google_images_scraper. 3 | """ 4 | 5 | from urllib.parse import urljoin 6 | 7 | from pydantic_settings import BaseSettings 8 | 9 | 10 | class GoogleImagesScraperSettings(BaseSettings): 11 | """Settings class for Google Images Scraper""" 12 | 13 | lens_url: str = "https://lens.google.com/" 14 | 15 | def get_upload_url_for_image(self, url: str) -> str: 16 | return urljoin(self.lens_url, f"uploadbyurl?url={url}") 17 | 18 | 19 | google_images_scraper_settings = GoogleImagesScraperSettings() 20 | -------------------------------------------------------------------------------- /src/google_images_scraper/__main__.py: -------------------------------------------------------------------------------- 1 | """ 2 | Main module for google_images_scraper. 3 | """ 4 | 5 | import logging 6 | 7 | import click 8 | 9 | from google_images_scraper.collector import GoogleImagesDataCollector 10 | 11 | 12 | logging.basicConfig(level=logging.INFO) 13 | 14 | 15 | @click.command() 16 | @click.option( 17 | "--url", 18 | help="The url for which to return Google Images results for.", 19 | required=True, 20 | ) 21 | def scrape_google_images(url: str) -> None: 22 | collector = GoogleImagesDataCollector() 23 | collector.save_image_data_for_url(url) 24 | 25 | 26 | if __name__ == "__main__": 27 | scrape_google_images() 28 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "google-images-scraper" 3 | version = "0.1.0" 4 | description = "A tool for scraping Google Images." 5 | packages = [ 6 | { include = "google_images_scraper", from = "src" }, 7 | ] 8 | authors = ["Ignas Šimkūnas "] 9 | readme = "README.md" 10 | 11 | [tool.poetry.dependencies] 12 | python = "^3.11" 13 | pydantic = "^2.7.4" 14 | click = "^8.1.7" 15 | pandas = "^2.2.2" 16 | selenium = "^4.22.0" 17 | webdriver-manager = "^4.0.1" 18 | pydantic-settings = "^2.3.4" 19 | 20 | 21 | [build-system] 22 | requires = ["poetry-core"] 23 | build-backend = "poetry.core.masonry.api" 24 | 25 | [tool.mypy] 26 | files = "." 27 | ignore_missing_imports = true 28 | follow_imports = "silent" 29 | show_error_codes = true 30 | warn_redundant_casts = true 31 | warn_unused_configs = true 32 | warn_unused_ignores = true 33 | disallow_incomplete_defs = true 34 | 35 | [tool.isort] 36 | py_version = 311 37 | combine_as_imports = true 38 | profile = "black" 39 | lines_between_types = 1 40 | lines_after_imports = 2 41 | -------------------------------------------------------------------------------- /src/google_images_scraper/collector.py: -------------------------------------------------------------------------------- 1 | """ 2 | Main module for collecting Google Images data. 3 | """ 4 | 5 | import logging 6 | 7 | from typing import List 8 | 9 | import pandas as pd 10 | 11 | from google_images_scraper.models import Image 12 | from google_images_scraper.scraper import GoogleImagesScraper 13 | 14 | 15 | DEFAULT_OUTPUT_FILE = "images.csv" 16 | 17 | 18 | class GoogleImagesDataCollector: 19 | """Data collector class for Google Images""" 20 | 21 | def __init__( 22 | self, 23 | output_file: str | None = None, 24 | logger: logging.Logger | None = None, 25 | ) -> None: 26 | self._scraper = GoogleImagesScraper() 27 | self._output_file = output_file if output_file else DEFAULT_OUTPUT_FILE 28 | self._logger = logger if logger else logging.getLogger(__name__) 29 | 30 | def _save_to_csv(self, images: List[Image]) -> None: 31 | """Saves given list of images to a CSV file.""" 32 | self._logger.info(f"Writing {len(images)} images to {self._output_file}..") 33 | image_objects = [image.model_dump() for image in images] 34 | df = pd.DataFrame(image_objects) 35 | df.to_csv(self._output_file) 36 | 37 | def save_image_data_for_url(self, url: str) -> None: 38 | """ 39 | Scrapes data from Google Images for a given image url and stores it into a CSV file. 40 | 41 | Args: 42 | url (str): The URL of the image for which to get Google Images results. 43 | """ 44 | self._logger.info(f"Getting Google Images data for image url {url}..") 45 | try: 46 | images = self._scraper.query_images_for_url(url) 47 | except Exception: 48 | self._logger.exception(f"Error when scraping Google Images for url {url}.") 49 | return 50 | 51 | if not images: 52 | self._logger.info("No images found.") 53 | return 54 | 55 | self._save_to_csv(images) 56 | -------------------------------------------------------------------------------- /.pre-commit-config.yaml: -------------------------------------------------------------------------------- 1 | repos: 2 | - repo: https://github.com/pre-commit/pre-commit-hooks 3 | rev: v4.6.0 4 | hooks: 5 | - id: trailing-whitespace 6 | - id: end-of-file-fixer 7 | - id: check-merge-conflict 8 | - id: check-case-conflict 9 | - id: check-json 10 | - id: check-toml 11 | - id: check-yaml 12 | - id: pretty-format-json 13 | args: [--autofix, --no-ensure-ascii, --no-sort-keys] 14 | - id: check-ast 15 | - id: debug-statements 16 | - id: check-docstring-first 17 | 18 | - repo: https://github.com/pre-commit/pygrep-hooks 19 | rev: v1.10.0 20 | hooks: 21 | - id: python-check-mock-methods 22 | - id: python-use-type-annotations 23 | - id: python-check-blanket-type-ignore 24 | - id: python-check-blanket-noqa 25 | 26 | - repo: https://github.com/asottile/yesqa 27 | rev: v1.5.0 28 | hooks: 29 | - id: yesqa 30 | additional_dependencies: &flake8_deps 31 | - flake8-annotations==3.1.1 32 | - flake8-broken-line==1.0.0 33 | - flake8-bugbear==24.4.26 34 | - flake8-comprehensions==3.14.0 35 | - flake8-eradicate==1.5.0 36 | - flake8-no-pep420==2.7.0 37 | - flake8-quotes==3.4.0 38 | - flake8-simplify==0.21.0 39 | - flake8-tidy-imports==4.10.0 40 | - flake8-typing-imports==1.15.0 41 | - flake8-use-fstring==1.4 42 | 43 | - repo: https://github.com/pycqa/isort 44 | rev: 5.13.2 45 | hooks: 46 | - id: isort 47 | name: "isort (python)" 48 | types: [python] 49 | - id: isort 50 | name: "isort (pyi)" 51 | types: [pyi] 52 | args: [--lines-after-imports, "-1"] 53 | 54 | - repo: https://github.com/psf/black 55 | rev: 24.4.2 56 | hooks: 57 | - id: black 58 | 59 | - repo: https://github.com/pycqa/flake8 60 | rev: 7.1.0 61 | hooks: 62 | - id: flake8 63 | additional_dependencies: *flake8_deps 64 | 65 | - repo: https://github.com/pre-commit/mirrors-mypy 66 | rev: v1.10.1 67 | hooks: 68 | - id: mypy 69 | args: [--python-version=3.11] 70 | pass_filenames: false 71 | additional_dependencies: 72 | - types-requests 73 | 74 | - repo: https://github.com/pre-commit/pre-commit 75 | rev: v2.17.0 76 | hooks: 77 | - id: validate_manifest 78 | -------------------------------------------------------------------------------- /src/google_images_scraper/scraper.py: -------------------------------------------------------------------------------- 1 | """ 2 | Module for scraping Google Images. 3 | """ 4 | 5 | import logging 6 | import time 7 | 8 | from typing import List 9 | 10 | from selenium import webdriver 11 | from selenium.webdriver.chrome.options import Options 12 | from selenium.webdriver.chrome.service import Service 13 | from selenium.webdriver.common.by import By 14 | from webdriver_manager.chrome import ChromeDriverManager 15 | 16 | from google_images_scraper.conf import google_images_scraper_settings 17 | from google_images_scraper.models import Image 18 | 19 | 20 | logging.getLogger("WDM").setLevel(logging.ERROR) 21 | 22 | 23 | class ConsentFormAcceptError(BaseException): 24 | message = "Unable to accept Google consent form." 25 | 26 | 27 | class DriverInitializationError(BaseException): 28 | message = "Unable to initialize Chrome webdriver for scraping." 29 | 30 | 31 | class DriverGetImageDataError(BaseException): 32 | message = "Unable to get Google Image data with Chrome webdriver." 33 | 34 | 35 | class GoogleImagesScraper: 36 | """Class for scraping Google Images""" 37 | 38 | def __init__(self, logger: logging.Logger | None = None) -> None: 39 | self._logger = logger if logger else logging.getLogger(__name__) 40 | self._consent_button_xpath = "/html/body/c-wiz/div/div/div/div[2]/div[1]/div[3]/div[1]/div[1]/form[2]/div/div/button/span" 41 | 42 | def _init_chrome_driver(self) -> webdriver.Chrome: 43 | """Initializes Chrome webdriver""" 44 | chrome_options = Options() 45 | chrome_options.add_argument("--headless") 46 | chrome_options.add_argument("--no-sandbox") 47 | chrome_options.add_argument("--disable-dev-shm-usage") 48 | service = Service(ChromeDriverManager().install()) 49 | return webdriver.Chrome(service=service, options=chrome_options) 50 | 51 | def _click_consent_button(self, driver: webdriver.Chrome) -> None: 52 | """Clicks google consent form with selenium Chrome webdriver""" 53 | self._logger.info("Accepting consent form..") 54 | try: 55 | driver.get(google_images_scraper_settings.lens_url) 56 | consent_button = driver.find_element( 57 | By.XPATH, 58 | self._consent_button_xpath, 59 | ) 60 | consent_button.click() 61 | except Exception as e: 62 | raise ConsentFormAcceptError from e 63 | 64 | time.sleep(2) 65 | 66 | def _get_data_from_image_div(self, div: webdriver.Chrome) -> Image: 67 | """Retrieves image data from a div element and returns it as an Image object.""" 68 | a_element = div.find_element(By.TAG_NAME, "a") 69 | title = a_element.get_attribute("aria-label") 70 | source_url = a_element.get_attribute("href") 71 | img_element = div.find_element(By.TAG_NAME, "img") 72 | image_url = img_element.get_attribute("data-src") or img_element.get_attribute( 73 | "src" 74 | ) 75 | return Image(title=title, url=image_url, source_url=source_url) 76 | 77 | def _get_images_from_page(self, url: str, driver: webdriver.Chrome) -> List[Image]: 78 | """Retrieves image data from a Google Images search page.""" 79 | self._logger.info("Scraping Google Images page..") 80 | driver.get(google_images_scraper_settings.get_upload_url_for_image(url)) 81 | image_divs = driver.find_elements(By.CLASS_NAME, "G19kAf") 82 | return [self._get_data_from_image_div(div) for div in image_divs] 83 | 84 | def query_images_for_url(self, url: str) -> List[Image]: 85 | """ 86 | Retrieves a list of images queried in Google Images for a given image URL. 87 | 88 | Returns: 89 | List[Image]: A list of Image objects. 90 | Raises: 91 | ConsentFormAcceptError: If the Google consent form cannot be accepted. 92 | DriverInitializationError: If the Chrome webdriver cannot be initialized. 93 | DriverGetImageDataError: If the image data cannot be scraped from the Google Images site. 94 | """ 95 | self._logger.info(f"Retrieving images for {url}..") 96 | 97 | try: 98 | driver = self._init_chrome_driver() 99 | except Exception as e: 100 | raise DriverInitializationError from e 101 | 102 | try: 103 | self._click_consent_button(driver) 104 | except Exception as e: 105 | driver.close() 106 | raise e 107 | 108 | try: 109 | return self._get_images_from_page(url, driver) 110 | except Exception as e: 111 | raise DriverGetImageDataError from e 112 | finally: 113 | driver.close() 114 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # How To Scrape Google Images 2 | 3 | [![Oxylabs promo code](https://raw.githubusercontent.com/oxylabs/how-to-scrape-google-scholar/refs/heads/main/Google-Scraper-API-1090x275.png)](https://oxylabs.io/products/scraper-api/serp/google?utm_source=877&utm_medium=affiliate&groupid=877&utm_content=how-to-scrape-google-images-github&transaction_id=102c8d36f7f0d0e5797b8f26152160) 4 | 5 | [![](https://dcbadge.limes.pink/api/server/Pds3gBmKMH?style=for-the-badge&theme=discord)](https://discord.gg/Pds3gBmKMH) [![YouTube](https://img.shields.io/badge/YouTube-Oxylabs-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@oxylabs) 6 | 7 | - [Free Google Images Scraper](#free-google-images-scraper) 8 | + [Prerequisites](#prerequisites) 9 | + [Installation](#installation) 10 | + [Getting an image to query](#getting-an-image-to-query) 11 | + [Scraping Google Images](#scraping-google-images) 12 | + [Notes](#notes) 13 | - [Scrape public Google Images data with Oxylabs API](#scrape-public-google-images-data-with-oxylabs-api) 14 | + [Step 1 - Setting up the environment](#step-1---setting-up-the-environment) 15 | + [Step 2- Import the required libraries](#step-2--import-the-required-libraries) 16 | + [Step 3 - Structure the payload](#step-3---structure-the-payload) 17 | + [Step 4 - Make the request](#step-4---make-the-request) 18 | + [Step 5 - Extract the data and save it in a CSV file](#step-5---extract-the-data-and-save-it-in-a-csv-file) 19 | 20 | ## Free Google Images Scraper 21 | 22 | A free tool used to get Google Images search results based on a provided image URL. 23 | 24 | ### Prerequisites 25 | 26 | To run this tool, you need to have Python 3.11 installed in your system. 27 | 28 | ### Installation 29 | 30 | Open up a terminal window, navigate to this repository and run this command: 31 | 32 | ```make install``` 33 | 34 | ### Getting an image to query 35 | 36 | First of all, find an image you want to query Google Images with. 37 | 38 | For this example, we'll be using an image of a cat from the Wikipedia page on cats. 39 | 40 | Make sure to copy the direct image address, like this: 41 | 42 | image 43 | 44 | The retrieved URL must end in `.jpg`, `.png`, or any other image format. Here's the URL of the copied image: 45 | 46 | https://upload.wikimedia.org/wikipedia/commons/thumb/b/bb/Kittyply_edit1.jpg/440px-Kittyply_edit1.jpg 47 | 48 | Save the URL you copied, it will be used for scraping Google Images results based on that image. 49 | 50 | ### Scraping Google Images 51 | 52 | To get results from Google Images based on an image URL, simply run this command in your terminal: 53 | 54 | ```make scrape URL=""``` 55 | 56 | With the image URL we retrieved earlier, the command would look like this: 57 | 58 | ```make scrape URL="https://upload.wikimedia.org/wikipedia/commons/thumb/b/bb/Kittyply_edit1.jpg/440px-Kittyply_edit1.jpg"``` 59 | 60 | Make sure to surround the URL with quotation marks, otherwise the tool might have trouble parsing it. 61 | 62 | After running the command, your terminal should look something like this: 63 | 64 | image 65 | 66 | 67 | After the tool has finished running, you should notice that an `images.csv` file appeared in your current directory. 68 | 69 | This data in this file has these columns for the Google Images results for your provided image: 70 | 71 | - `title` - The title of the page the image was found on. 72 | - `image_url` - The static Google Images URL for that image. 73 | - `source_url` - The source URL of the page the image found on. 74 | 75 | Here's an example of how the data can look like: 76 | 77 | image 78 | 79 | ### Notes 80 | 81 | In case the code doesn't work or your project is of bigger scale, please refer to the second part of the tutorial. There, we showcase how to scrape public data with Oxylabs Scraper API. 82 | 83 | ## Scrape public Google Images data with Oxylabs API 84 | 85 | You can also scrape public Google Images data with [Google Images Search API](https://oxylabs.io/products/scraper-api/serp/google/images). Keep in mind that this is a paid tool but you may get a free 7-day trial. Once you get the trial (or a subscription), you'll have to create a user account on the Oxylabs dashboard and get the API credentials. These credentials will be used in the later stages. 86 | ### Notes 87 | Different from the Free Google Image scraper, this particular scraper scrapes based on query, rather than the image URL. Get more information about this approach on our blog post on [How to Scrape Google Lens Results](https://oxylabs.io/blog/how-to-scrape-google-lens-results). 88 | 89 | ### Step 1 - Setting up the environment 90 | 91 | To get started, we must have Python 3.6+ installed and running on your system. Also, we need the following packages to put our code into action: 92 | 93 | - requests - for sending HTTP requests to Oxylabs API. 94 | 95 | - Pandas - for saving our output data in dataframes and saving in CSV files. 96 | 97 | To install these packages, we can use the following command: 98 | 99 | ```pip install requests pandas ``` 100 | 101 | Running this command will install all the required packages. 102 | 103 | ### Step 2- Import the required libraries 104 | 105 | After the installation of packages, start by creating a new Python file and import the required libraries using the following code: 106 | 107 | ```import requests``` 108 | ```import pandas as pd``` 109 | 110 | ### Step 3 - Structure the payload 111 | 112 | The Google Image Scraper API has the ```source```, ```query```, and ```context``` parameters that are mandatory if you want to extract Google Images. All other parameters, such as ```geo_location```, ```parse```, and ```pages```, are optional and allow you to modify the result according to your needs. The details of these and other parameters can be found in the official [documentation](https://developers.oxylabs.io/scraping-solutions/web-scraper-api/targets/google/search/image-search). 113 | 114 | The payload is structured as follows: 115 | 116 | ```python 117 | # Request payload with API parameters 118 | payload = { 119 | "source": "google_search", 120 | "query": "cute cat", 121 | "geo_location": "United States", # Localize results for US 122 | "context": [ 123 | {"key": "tbm", "value": "isch"}, # Scrapes only Google Images 124 | ], 125 | "parse": True, # Automatically parse HTML into JSON 126 | "pages": 2 # Scrape as many pages as needed 127 | } 128 | 129 | ``` 130 | NOTE: Make sure to replace the ```query``` parameter value with the search term for which you want to find relevant images. 131 | 132 | You may also use the Advanced Google Search Operators to filter results. For example, to find images that are only present on Unsplash, modify your ```query``` parameter value to ```cute cats inurl: unsplash```. 133 | 134 | The ```parse``` parameter is set to ```True``` to automatically parse the results and receive them in structured JSON format. 135 | 136 | Additionally, you can retireve your results in Markdown format by setting `markdown` parameter to `true`. This will give your and easy-to-read output for various workflows and AI tools. 137 | 138 | Furthermore, you can use ```pages``` and ```start_page``` parameters to scrape multiple result pages starting from the ```start_page```. A value of ```1``` is the default value for both the parameters. 139 | 140 | ### Step 4 - Make the request 141 | 142 | After creating the payload structure, you can initiate a POST request to Oxylabs’ API using the following code segment. 143 | 144 | ```python 145 | # Use your Oxylabs Web Scraper API credentials 146 | USERNAME = "your_API_username" 147 | PASSWORD = "your_API_password" 148 | 149 | # Send a request to Oxylabs Web Scraper API 150 | response = requests.post( 151 | "https://realtime.oxylabs.io/v1/queries", 152 | auth=(USERNAME, PASSWORD), 153 | json=payload 154 | ) 155 | 156 | # Print the response 157 | print(response.json()) 158 | ``` 159 | 160 | NOTE: Make sure to replace ```username``` and ```password``` with your API credentials. The response received can be viewed in the JSON format. 161 | 162 | ### Step 5 - Extract the data and save it in a CSV file 163 | 164 | Now, we can extract the required images from the response object. The response object has a key ```results``` that contains all the related image data. We will extract and save all the image data in the data frame. Later, this dataframe can be saved in a CSV file using the following code. 165 | 166 | ```python 167 | # Get the response data 168 | response_data = response.json() 169 | 170 | all_images = [] 171 | # Loop through each page in the results 172 | for page in response_data["results"]: 173 | # Get the organic results from each page 174 | organic_results = page["content"]["results"]["organic"] 175 | # Extract image data from each organic result 176 | for image in organic_results: 177 | all_images.append({ 178 | "title": image.get("title", ""), 179 | "link": image.get("link", ""), 180 | "image": image.get("image", ""), 181 | "domain": image.get("domain", ""), 182 | "position": image.get("pos", ""), 183 | "position_overall": image.get("pos_overall", "") 184 | }) 185 | 186 | # Create a DataFrame directly from the extracted data 187 | df = pd.DataFrame(all_images) 188 | 189 | # Save to CSV 190 | df.to_csv("google_images.csv", index=False) 191 | print("Successfully saved all images.") 192 | ``` 193 | This code saves only the ```organic``` search results. If you expect paid/sponsored image results, make sure to add logic that additionally saves the ```paid``` results from the API response. 194 | 195 | ## Complete Google Image scraper example 196 | 197 | Let’s put all the code together: 198 | 199 | ```python 200 | import requests 201 | import pandas as pd 202 | 203 | 204 | USERNAME = "your_API_username" 205 | PASSWORD = "your_API_password" 206 | 207 | payload = { 208 | "source": "google_search", 209 | "query": "cute cat", 210 | "geo_location": "United States", 211 | "context": [ 212 | {"key": "tbm", "value": "isch"}, 213 | ], 214 | "parse": True, 215 | "pages": 2 216 | } 217 | 218 | response = requests.post( 219 | "https://realtime.oxylabs.io/v1/queries", 220 | auth=(USERNAME, PASSWORD), 221 | json=payload 222 | ) 223 | 224 | response_data = response.json() 225 | 226 | all_images = [] 227 | for page in response_data["results"]: 228 | 229 | organic_results = page["content"]["results"]["organic"] 230 | 231 | for image in organic_results: 232 | all_images.append({ 233 | "title": image.get("title", ""), 234 | "link": image.get("link", ""), 235 | "image": image.get("image", ""), 236 | "domain": image.get("domain", ""), 237 | "position": image.get("pos", ""), 238 | "position_overall": image.get("pos_overall", "") 239 | }) 240 | 241 | df = pd.DataFrame(all_images) 242 | df.to_csv("google_images.csv", index=False) 243 | print("Successfully saved all images.") 244 | ``` 245 | 246 | Executing the code will output a CSV file that contains all the Google Image data scraped from two pages: 247 | 248 | images_csv 249 | 250 | Looking to scrape data from other Google sources? [Google Sheets for Basic Web Scraping](https://github.com/oxylabs/web-scraping-google-sheets), [How to Scrape Google Shopping Results](https://github.com/oxylabs/scrape-google-shopping), [Google Play Scraper](https://github.com/oxylabs/google-play-scraper), [How To Scrape Google Jobs](https://github.com/oxylabs/how-to-scrape-google-jobs), [Google News Scrpaer](https://github.com/oxylabs/google-news-scraper), [How to Scrape Google Scholar](https://github.com/oxylabs/how-to-scrape-google-scholar), [How to Scrape Google Flights with Python](https://github.com/oxylabs/how-to-scrape-google-flights), [Scrape Google Search Results](https://github.com/oxylabs/scrape-google-python), [Scrape Google Trends](https://github.com/oxylabs/how-to-scrape-google-trends) 251 | -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is automatically @generated by Poetry 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