The "Image Scraper" is a Flask web application that allows users to search for images on Google and download them directly to their local machines. The project leverages web scraping techniques to fetch the image URLs from Google search results and then download the images to a specified directory.
About In the era of the internet, images play a crucial role in various applications, including web development, data analysis, machine learning, and content creation. However, obtaining a large set of images related to a specific topic or keyword can be time-consuming and challenging.
The motivation behind the "Image Scraper" project is to simplify the process of collecting images for a given search query. By creating a user-friendly web interface, users can easily search for images and retrieve them without the need to manually visit multiple websites and download images one by one.
- Flask
- Requests
- Beautiful Soup
- PyMongo
Anyways you can install all the above-mentioned libraries at a glance by executing the following command: requirements.txt required
pip install -r requirements.txt-
Clone the repository
git clone https://github.com/KalyanMurapaka45/End-to-End-Image-Scraping.git
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Install the required libraries
pip install -r requirements.txt
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Open and run the
app.pyfile.python app.py
Contributions are what makes the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch
- Commit your Changes
- Push to the Branch
- Open a Pull Request
Distributed under the GNU General Public License v3.0. See LICENSE.txt for more information.
I would like to extend my heartfelt gratitude to the entire Ineuron Team for their constant support, guidance, and expertise throughout the development of the "Image Scraper" project. Their dedication to providing high-quality education and resources has been instrumental in my growth as a developer.