Data Crawling

Description:

The Data Crawling project is a Python application that focuses on web scraping and data extraction using popular libraries such as Pandas, Requests, BeautifulSoup, NumPy, and OS. The project aims to provide a flexible and efficient solution for developers who need to retrieve and analyze data from websites.

Features:

Web scraping: The application utilizes the BeautifulSoup library to extract data from HTML and XML files.

Data retrieval: Using the Requests library, the project fetches web pages and retrieves data from specified URLs.

Data manipulation: With the help of Pandas and NumPy libraries, the project provides various methods for data manipulation, cleaning, and analysis.

File handling: The OS library facilitates file handling operations, such as creating directories and saving extracted data.

Scalability: The project can be easily extended to handle large datasets and implement additional data processing functionality.

Installation:

Clone the repository: git clone https://github.com/Priyansu-Bhandari/Data_Crawling.git

Install the required dependencies: pip install -r requirements.txt

Set up the project: Specify the target URLs and desired data extraction in the project's configuration file.

Customize the data manipulation and analysis scripts to suit your specific requirements.

Dependencies:

Python (3.6+) Pandas library Requests library BeautifulSoup library NumPy library OS library

Contributing:

Contributions to the Data Crawling project are welcome. If you would like to contribute, please follow these steps: Fork the repository. Create a new branch. Make your changes and commit them. Push your changes to your forked repository. Submit a pull request detailing your changes.

Contact:

For any inquiries or suggestions, please contact bhandaripriyanshupb2002@gmail.com .