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instascrape: super lightweight Instagram scraping toolkit

What is it?

instascrape is an incredibly lightweight set of tools geared towards scraping Instagram data. It makes no assumptions about your project and is instead designed for flexibility and developer productivity. It is excellent for the seasoned data scientist trying to quickly get an idea of a page's engagement as well as beginners looking to explore web scraping and the beauty of Python for the very first time.

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Example gif of instascrape


Table of Contents

Graph of instagram data Example of Instagram likes per post data scraped using instascrape (this repository and its author(s) are not affiliated with Real Python)


Installation

Minimum Python version

This library currently requires Python 3.7 or higher.

pip

Install from PyPI using

$ pip3 install insta-scrape

Clone

Clone right from Github to your local machine using

$ git clone https://github.com/chris-greening/instascrape.git

Install required dependencies using

$ pip3 install -r requirements.txt

Documentation

The official documentation can be found on Read The Docs :newspaper:


Contributing

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

Feel free to open an Issue or look at existing Issues to get a dialogue going on what you want to see added/changed/fixed!


Hacktoberfest 2020

This repo is participating in Hacktoberfest 2020! I would love for this repo to be a resource to absolute beginners looking to make some of their first contributions. Check out Issues for some easy ideas or open your own with something you want to work on! Please see the official Hacktober FAQ for rules/questions.

Happy hacking!


License

MIT


Support

Reach out to me if you have questions or ideas!

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

insta-scrape-0.6.4.tar.gz (3.6 kB view details)

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Release history Release notifications | RSS feed

2.1.2

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