https://github.com/rahul-404/image-scraper
This project features an image scraper built with Python, designed to extract images from websites efficiently. Using libraries like BeautifulSoup and Requests, it automates the process, making it easy to gather images for various applications, from data analysis to creative projects.
https://github.com/rahul-404/image-scraper
automation beautifulsoup datacollection datascience imagescraper jupyternotebook opensource python requests techprojects webscraping
Last synced: about 2 months ago
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This project features an image scraper built with Python, designed to extract images from websites efficiently. Using libraries like BeautifulSoup and Requests, it automates the process, making it easy to gather images for various applications, from data analysis to creative projects.
- Host: GitHub
- URL: https://github.com/rahul-404/image-scraper
- Owner: Rahul-404
- License: mit
- Created: 2024-06-04T07:28:29.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-06-04T11:37:27.000Z (12 months ago)
- Last Synced: 2025-02-01T22:13:57.852Z (4 months ago)
- Topics: automation, beautifulsoup, datacollection, datascience, imagescraper, jupyternotebook, opensource, python, requests, techprojects, webscraping
- Language: Jupyter Notebook
- Homepage:
- Size: 104 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Image Scraping with BeautifulSoup
## Overview
This Python script allows you to scrape images from Google Images using BeautifulSoup.
## Prerequisites
- Python 3.x
- BeautifulSoup (install using `pip install beautifulsoup4`)
- Requests (install using `pip install requests`)
- Jupyter Notebook (optional, but used in this example)
## Usage
1. Clone or download the repository.
2. Open the Jupyter Notebook file (`image_scraping.ipynb`) in Jupyter Notebook.
3. Run each cell in the notebook sequentially to execute the code.
4. Enter your search query when prompted.
5. The script will scrape images from Google Images related to your query and save them to the specified directory.
## Note
- Please make sure to use this script responsibly and in accordance with Google's terms of service.
- It's recommended to use this script for educational or research purposes only.
- Be aware of copyright issues when downloading images from the web.
## Author
[Rahul Shelke](https://github.com/Rahul-404)
## License
This project is licensed under the [MIT License](LICENSE).