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The Google Image Scraper is a tool designed to automatically extract and download images from Google search results. It allows users to quickly gather a large number of images based on specific search queries and stores that images into databases.

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ankitrajput77/image_scrapper

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Google Image Scraper

This is a Python script that allows you to scrape images from Google search using keywords. It utilizes the BeautifulSoup library for web scraping and the requests library for making HTTP requests. Images are stored in mongoDB and in directory named as scrapped_images.

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Installation Usage Contributing License

Prerequisites

Before running the script, ensure you have the following prerequisites installed:

  • Python 3.7: The script is written in Python, so you'll need to have Python 3.7 installed on your machine. You can download it from the official Python website: Python Downloads

Usage

  1. Clone the repository:
git clone https://github.com/ankitrajput77/image_scrapper.git
  1. Navigate to the project directory:

  2. Install the required dependencies:

pip install -r requirements.txt

  1. run app.py

python app.py

inaction screenshots

Screenshot 2023-06-03 195058 Screenshot 2023-06-03 195114

Contributing

Contributions are welcome! If you find any issues or want to add new features, please open an issue or submit a pull request. Make sure to follow the existing coding style and provide appropriate documentation.

License

This project is licensed under the MIT License.

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The Google Image Scraper is a tool designed to automatically extract and download images from Google search results. It allows users to quickly gather a large number of images based on specific search queries and stores that images into databases.

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