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https://github.com/rahulbhoyar1995/web-scraping-with-python
Repository showcasing diverse web scraping projects, extracting valuable data from websites for analysis and insights. #WebScraping #DataExtraction
https://github.com/rahulbhoyar1995/web-scraping-with-python
python3 scraping scraping-websites scrapy scrapy-crawler splash
Last synced: about 2 months ago
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Repository showcasing diverse web scraping projects, extracting valuable data from websites for analysis and insights. #WebScraping #DataExtraction
- Host: GitHub
- URL: https://github.com/rahulbhoyar1995/web-scraping-with-python
- Owner: rahulbhoyar1995
- Created: 2024-02-03T14:20:23.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-10-09T11:07:47.000Z (3 months ago)
- Last Synced: 2024-11-15T11:17:58.880Z (about 2 months ago)
- Topics: python3, scraping, scraping-websites, scrapy, scrapy-crawler, splash
- Language: Jupyter Notebook
- Homepage:
- Size: 2.34 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Web Scraping with Python
#### Author : Mr. Rahul Bhoyar and Akshaya Kakde
Repository containing various web scraping projects using Python. Extract valuable data from websites for analysis and insights.
**The main objectives of these projects are :**
(A) Perform web scraping
(B) After scraping, organise the unstructured data into structured data (Pandas DF/CSV files.)
## Requirements
- Python 3.x
- Jupyter Notebook
## Contributing
Your contributions are highly valued. Whether you want to fix a bug, add a new feature, or suggest an improvement, here's how you can get involved:
### Getting Started
1. Fork the repository.
2. Clone the forked repository to your local machine.
```bash
git clone https://github.com/your-username/web-scraping-projects.git
```
3. Create a new branch for your changes.
``git checkout -b feature/your-feature-name``
4. Make your desired changes in the project.
5. Test your changes locally to ensure they work as expected.
6. Commit your changes.
7. **Opening a pull request** : Push your changes to your forked repository.
`git push origin feature/your-feature-name`
8. Visit the original repository on GitHub. (link : [https://github.com/rahulbhoyar1995/web-scraping-projects](https://chat.openai.com/c/13709208-aaf6-4e71-b688-dd229200ffcf))
9. Click on the "Pull Requests" tab.
10. Click on the "New Pull Request" button.
11. Select the branch with your changes.
12. Provide a clear and concise title for your pull request.
13. Add a description that explains the changes you made.
14. Click on the "Create Pull Request" button.
### Guidelines
* Follow the [Python PEP 8 style guide]() for code formatting.
* Ensure your code is well-documented.
* Test your changes thoroughly.
* Be respectful and inclusive in your communications.
Thank you for contributing to these web scraping projects! Feel free to contribute or suggest improvements.