Web Scraping with Scrapy

Author : Mr. Rahul Bhoyar

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.

   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)

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.