insta-scrape 2.1.2

Super lightweight Instagram web scraper for data analysis

instascrape: powerful Instagram data scraping toolkit

What is it?

instascrape is a lightweight Python package that provides an expressive and flexible API for scraping Instagram data. It is geared towards being a high-level building block on the data scientist's toolchain and can be seamlessly integrated and extended with industry standard tools for web scraping, data science, and analysis.

Key features

Here are a few of the things that instascrape does well:

• Powerful, object-oriented scraping tools for profiles, posts, hashtags, reels, and IGTV
• Scrapes HTML, BeautifulSoup, and JSON
• Download content to your computer as png, jpg, mp4, and mp3
• Dynamically retrieve HTML embed code for posts
• Expressive and consistent API for concise and elegant code
• Designed for seamless integration with Selenium, Pandas, and other industry standard tools for data collection and analysis
• Lightweight; no boilerplate or configurations necessary
• The only hard dependencies are Requests and Beautiful Soup
• Proven to work as of January, 2021

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Table of Contents

• Installation
• Sample Usage
• Documentation
• Blog Posts
• Contributing
• Dependencies
• License
• Support

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:computer: Installation

Minimum Python version

This library currently requires Python 3.7 or higher.

pip

Install from PyPI using

$ pip3 install insta-scrape

WARNING: make sure you install insta-scrape and not a package with a similar name!

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:mag_right: Sample Usage

All top-level, ready-to-use features can be imported using:

from instascrape import *

instascrape uses clean, consistent, and expressive syntax to make the developer experience as painless as possible.

# Instantiate the scraper objects 
google = Profile('https://www.instagram.com/google/')
google_post = Post('https://www.instagram.com/p/CG0UU3ylXnv/')
google_hashtag = Hashtag('https://www.instagram.com/explore/tags/google/')

# Scrape their respective data 
google.scrape()
google_post.scrape()
google_hashtag.scrape()

print(google.followers)
print(google_post['hashtags'])
print(google_hashtag.amount_of_posts)
>>> 12262794
>>> ['growwithgoogle']
>>> 9053408

See the Scraped data points section of the Wiki for a complete list of the scraped attributes provided by each scraper.

:books: Documentation

The official documentation can be found on Read The Docs

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:newspaper: Blog Posts

Check out blog posts on the official site or DEV for ideas and tutorials!

• Scrape data from Instagram with instascrape
• Visualizing Instagram engagement with instascrape
• Exploratory data analysis of Instagram using instascrape and Python
• Creating a scatter matrix of Instagram data using Python
• Downloading an Instagram profile's recent photos using Python
• Scraping 25,000 data points from Joe Biden's Instagram using instascrape
• Compare major tech Instagram page's with instascrape
• Tracking an Instagram posts engagement in real time with instascrape
• Dynamically generate embeddable Instagram HTML with instascrape
• Scraping an Instagram location tag with instascrape
• Scraping Instagram reels with instascrape
• Scraping IGTV data with instascrape
• Scraping 10,000 data points from Donald Trump's Instagram with Python

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:pray: Contributing

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

Feel free to open an Issue, check out existing Issues, or start a discussion.

Beginners to open source are highly encouraged to participate and ask questions if you're unsure what to do/where to start :heart:

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:spider_web: Dependencies

• Requests
• BeautifulSoup

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:credit_card: License

This library operates under the MIT license.

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:grey_question: Support

Check out the FAQ

Reach out to me if you want to connect or have any questions!

• Email:
  • [e-mail]
• Twitter:
  • @ChrisGreening
• LinkedIn
  • Chris Greening

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DISCLAIMER: With great power comes great responsibility. This is a research project and I am not responsible for how you use it. Independently, the library is designed to be responsible and respectful and it is up to you to decide what you do with it.