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https://github.com/chris-greening/instascrape

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically
https://github.com/chris-greening/instascrape

beginner-friendly data-mining data-science instagram instagram-data instagram-scraper lightweight python python-scraper python3 webscraping

Last synced: about 2 months ago
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Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

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README 

        




  




# _instascrape_: powerful Instagram data scraping toolkit 



## Note: This module is no longer actively maintained.



## DISCLAIMER: 



Instagram has gotten increasingly strict with scraping and using this library can result in getting flagged for botting AND POSSIBLE DISABLING OF YOUR INSTAGRAM ACCOUNT. 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. I don't claim any responsibility if your Instagram account is affected by how you use this library.



[![Version](https://img.shields.io/pypi/pyversions/insta-scrape)](https://www.python.org/downloads/release/python-360/)

[![Downloads](https://pepy.tech/badge/insta-scrape)](https://pepy.tech/project/insta-scrape)

[![Release](https://img.shields.io/pypi/v/insta-scrape)](https://pypi.org/project/insta-scrape/)

[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](https://opensource.org/licenses/MIT)



[![Activity](https://img.shields.io/github/last-commit/chris-greening/instascrape)](https://github.com/chris-greening/instascrape)

[![Dependencies](https://img.shields.io/librariesio/github/chris-greening/instascrape)](https://github.com/chris-greening/instascrape/blob/master/requirements.txt)

[![Issues](https://img.shields.io/github/issues/chris-greening/instascrape?style=flat)](https://github.com/chris-greening/instascrape/issues)



## 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_](https://selenium-python.readthedocs.io/), [_Pandas_](https://pandas.pydata.org/), and other industry standard tools for data collection and analysis

* Lightweight; no boilerplate or configurations necessary 

* The only hard dependencies are [_Requests_](https://requests.readthedocs.io/en/master/) and [_Beautiful Soup_](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)

---



## Table of Contents

* [Installation](#installation)

* [Sample Usage](#features)

* [Documentation](#documentation)

* [Blog Posts](#blog-posts)

* [Contributing](#contributing)

* [Dependencies](#dependencies)

* [License](#license)

* [Support](#support)



---



## :computer: Installation 



### Minimum Python version



This library currently requires [Python 3.7](https://www.python.org/downloads/release/python-370/) or higher.



### pip

Install from PyPI using

```shell

$ pip3 install insta-scrape

```

WARNING: make sure you install _insta-scrape_ and not a package with a similar name! 



---



## :mag_right: Sample Usage 

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

```python

from instascrape import *

```



_instascrape_ uses clean, consistent, and expressive syntax to make the developer experience as _painless_ as possible. 



```python

# 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](https://github.com/chris-greening/instascrape/wiki/Scraped-data-points) section of the [Wiki](https://github.com/chris-greening/instascrape/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](https://instascrape.readthedocs.io/en/latest/index.html)



---



## :newspaper: Blog Posts 



Check out blog posts on the [official site](https://chris-greening.github.io/instascrape/blog/) or [DEV](https://dev.to/) for ideas and tutorials!



- [Scrape data from Instagram with instascrape](https://dev.to/chrisgreening/scrape-data-from-instagram-with-instascrape-5e3e) 

- [Visualizing Instagram engagement with instascrape](https://dev.to/chrisgreening/visualizing-instagram-engagement-with-instascrape-326h)

- [Exploratory data analysis of Instagram using instascrape and Python](https://dev.to/chrisgreening/exploratory-data-analysis-of-instagram-using-python-1o5c)

- [Creating a scatter matrix of Instagram data using Python](https://dev.to/chrisgreening/visualizing-the-relationship-between-instagram-variables-using-python-55gg)

- [Downloading an Instagram profile's recent photos using Python](https://dev.to/chrisgreening/downloading-an-instagram-profile-s-recent-photos-using-python-25b2)

- [Scraping 25,000 data points from Joe Biden's Instagram using instascrape](https://dev.to/chrisgreening/scraping-25-000-data-points-from-joe-biden-s-instagram-using-instascrape-1026)

- [Compare major tech Instagram page's with instascrape](https://dev.to/chrisgreening/compare-major-tech-instagram-page-s-with-instascrape-2419)

- [Tracking an Instagram posts engagement in real time with instascrape](https://dev.to/chrisgreening/tracking-an-instagram-posts-engagement-in-real-time-with-instascrape-1m1j)

- [Dynamically generate embeddable Instagram HTML with instascrape](https://dev.to/chrisgreening/dynamically-generate-embeddable-instagram-html-using-instascrape-3o4b)

- [Scraping an Instagram location tag with instascrape](https://dev.to/chrisgreening/scraping-an-instagram-location-tag-with-instascrape-554f)

- [Scraping Instagram reels with instascrape](https://dev.to/chrisgreening/scraping-instagram-reels-with-instascrape-3khb)

- [Scraping IGTV data with instascrape](https://dev.to/chrisgreening/scraping-igtv-data-with-instascrape-595f)

- [Scraping 10,000 data points from Donald Trump's Instagram with Python](https://dev.to/chrisgreening/scraping-10-000-data-points-from-donald-trump-s-instagram-page-with-python-2jcg)

---



## :pray: Contributing 

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



Feel free to [open an Issue](https://github.com/chris-greening/instascrape/issues/new/choose), check out existing [Issues](https://github.com/chris-greening/instascrape/issues), or [start a discussion](https://github.com/chris-greening/instascrape/discussions). 



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



---



## :spider_web: Dependencies 



- [Requests](https://requests.readthedocs.io/en/master/)

- [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)



---



## :credit_card: License 

This library operates under the [MIT](LICENSE) license.



---



## :grey_question: Support 



Check out the [FAQ](https://github.com/chris-greening/instascrape/wiki/Frequently-Asked-Questions)



Reach out to me if you want to connect or have any questions and I will do my best to get back to you

* Email:

  * [email protected]

* Twitter:

  * [@ChrisGreening](https://twitter.com/ChrisGreening)

* LinkedIn

  * [Chris Greening](https://www.linkedin.com/in/chris-greening-646411139/)

* Personal contact form: 

  * [www.christophergreening.com](https://www.christophergreening.com/contact)

---