This project is a web application built using Flask that allows users to scrape images and store them in a local folder as well as in a MongoDB database.
- Users can enter a search term to scrape images from google.
- The scraped images are saved in a local folder for later access.
- The scraped images are also stored in a MongoDB database for persistence.
Before running the application, ensure you have the following prerequisites installed:
- Python 3.7 or above
- Flask
- pymongo
- Requests
- Clone the repository:
git clone https://github.com/Pratik94229/Image_scrapper.git
- Install the required dependencies:
pip install -r requirements.txt
- Set up the MongoDB connection:
- Make sure you have MongoDB installed and running on your local machine or specify the remote MongoDB connection URL in the application code.
- Start the Flask application:
python app.py
- Access the web application in your browser at
http://localhost:8000.
- Enter a search term in the provided input field and click the "Scrape Images" button.
- The application will scrape images related to the entered search term.
- The scraped images will be saved in the local
imagesfolder. - The scraped images will also be stored in the MongoDB database for later retrieval.
The project folder is structured as follows:
├── app.py # Flask application file ├── requirements.txt # Required Python dependencies ├── templates # HTML templates for the Flask application │ └── index.html ├── static # Static assets (CSS, JS, images) │ ├── css │ │ └── style.css │ └── images # Folder to store scraped images └── README.md # Project documentation (you're reading it!)
Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.