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This Github repository contains web scraping scripts for various websites, including CoinMarketCapital, Flipkart, Freecodecamp, Glassdoor, Youtube and Laptop Scrapper, all written in Python using popular libraries. It is open for contribution and for educational purposes only.

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WebScrappers

Welcome to the "WebScrappers" repository! Here, you will find a collection of web scraping scripts that demonstrate how to extract data from various websites. The repository includes web scrapers for CoinMarketCapital, Flipkart, Freecodecamp, Glassdoor, Youtube and laptop scrappers. These scripts are written in Python, using popular libraries such as BeautifulSoup and Selenium.

Getting Started

To get started, simply clone or download the repository to your local machine. The repository is organized into different folders, each representing a specific website. Each folder contains one or more Python scripts that demonstrate how to scrape data from that website.

How to use

To run the scripts, make sure you have Python and the necessary libraries installed on your machine. You can then open the script in your preferred Python environment and run it. Each script contains comments that explain what the code is doing, so be sure to read through them.

Websites covered

1.CoinMarketCapital
2.Flipkart
3.Freecodecamp
4.Glassdoor
5.Youtube
6.Laptop Scrapper

Contribution

I welcome contributions from the community! If you have a better or more efficient way of scraping a website or if you found an error, please feel free to submit a pull request.

Disclaimer

Please note that the scripts provided in this repository are for educational purposes only and should not be used to scrape data from a website without obtaining proper permissions from the website owner.

Support

If you have any questions or need help, please open an issue in the repository or contact me directly.

Happy scraping!

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This Github repository contains web scraping scripts for various websites, including CoinMarketCapital, Flipkart, Freecodecamp, Glassdoor, Youtube and Laptop Scrapper, all written in Python using popular libraries. It is open for contribution and for educational purposes only.

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