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https://github.com/mldsveda/PyScrappy

All-in-one Web Scrapper for Python
https://github.com/mldsveda/PyScrappy

ecommerce-scrapper food-scrapper image-scrapper news-scrapper pyscrappy python social-media-scrapper song-scrapper stock-scrapper web-scrapping wikipedia-scrapper

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All-in-one Web Scrapper for Python

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## PyScrappy: powerful Python data scraping toolkit



[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)



[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)

[![PyPI Latest Release](https://img.shields.io/pypi/v/PyScrappy.svg)](https://pypi.org/project/PyScrappy/)



[![Package Status](https://img.shields.io/pypi/status/PyScrappy.svg)](https://pypi.org/project/PyScrappy/)

[![License](https://img.shields.io/pypi/l/PyScrappy.svg)](https://github.com/mldsveda/PyScrappy/blob/main/LICENSE)

![](https://img.shields.io/pypi/dm/PyScrappy)



![](https://komarev.com/ghpvc/?username=mldsveda&style=flat-square)

![stars](https://img.shields.io/github/stars/mldsveda/PyScrappy?style=social)

![forks](https://img.shields.io/github/forks/mldsveda/PyScrappy?style=social)



[![](https://img.shields.io/badge/pyscrappy-official%20documentation-blue)](https://pyscrappy.netlify.app/)



## What is it?



**PyScrappy** is a Python package that provides a fast, flexible, and exhaustive way to scrape data from various different sources. Being an

easy and intuitive library. It aims to be the fundamental high-level building block for scraping **data** in Python. Additionally, it has the broader goal of becoming **the most powerful and flexible open source data scraping tool available**.



## Main Features



Here are just a few of the things that PyScrappy does well:



- Easy scraping of [**Data**](https://medium.com/analytics-vidhya/web-scraping-in-python-using-the-all-new-pyscrappy-5c136ed6906b) available on the internet

- Returns a [**DataFrame**](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html) for further analysis and research purposes.

- Automatic [**Data Scraping**](https://medium.com/analytics-vidhya/web-scraping-in-python-using-the-all-new-pyscrappy-5c136ed6906b): Other than a few user input parameters the whole process of scraping the data is automatic.

- Powerful, flexible



## Where to get it



The source code is currently hosted on GitHub at:

https://github.com/mldsveda/PyScrappy



Binary installers for the latest released version are available at the [Python

Package Index (PyPI)](https://pypi.org/project/PyScrappy/).



```sh

pip install PyScrappy

```



## Dependencies



- [selenium](https://www.selenium.dev/) - Selenium is a free (open-source) automated testing framework used to validate web applications across different browsers and platforms.

- [webdriver-manger](https://github.com/bonigarcia/webdrivermanager) - WebDriverManager is an API that allows users to automate the handling of driver executables like chromedriver.exe, geckodriver.exe etc required by Selenium WebDriver API. Now let us see, how can we set path for driver executables for different browsers like Chrome, Firefox etc.

- [beautifulsoup4](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - Beautiful Soup is a Python library for getting data out of HTML, XML, and other markup languages.

- [pandas](https://pandas.pydata.org/) - Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.



## License



[MIT](https://github.com/mldsveda/PyScrappy/blob/main/LICENSE)



## Getting Help



For usage questions, the best place to go to is [StackOverflow](https://stackoverflow.com/questions/tagged/pyscrappy).

Further, general questions and discussions can also take place on GitHub in this [repository](https://github.com/mldsveda/PyScrappy).



## Discussion and Development



Most development discussions take place on GitHub in this [repository](https://github.com/mldsveda/PyScrappy).



Also visit the official documentation of [PyScrappy](https://pyscrappy.netlify.app/) for more information.



## Contributing to PyScrappy



All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.



If you are simply looking to start working with the PyScrappy codebase, navigate to the GitHub ["issues"](https://github.com/mldsveda/PyScrappy/issues) tab and start looking through interesting issues.



## End Notes



_Learn More about this package on [Medium](https://medium.com/analytics-vidhya/web-scraping-in-python-using-the-all-new-pyscrappy-5c136ed6906b)._



### **_This package is solely made for educational and research purposes._**