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.
Table of Contents
- :computer: Installation
- :books: Documentation
- :newspaper: Blog Posts
- :pray: Contributing
- :spider_web: Dependencies
- :jack_o_lantern: Hacktoberfest 2020
- :credit_card: License
- :grey_question: Support
:computer: 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
:books: Documentation
The official documentation can be found on Read The Docs :newspaper:
:newspaper: Blog Posts
Check out blog posts on 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
:pray: 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!
:spider_web: Dependencies
Instascrape primarily relies on two third-party libraries for requesting and scraping Instagram HTML content:
- Requests: HTTP requests
- BeautifulSoup: Scraping and parsing HTML data.
The rest of its functionality is provided directly from Python 3's standard library for clear and concise code under the hood.
:jack_o_lantern: 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!
:credit_card: License
:grey_question: Support
Reach out to me if you have questions or ideas!
- chris@christophergreening.com :trollface: :rage2:
Background
The inspiration for this project began a long time ago in a galaxy far, far away (a.k.a. Summer 2019 on Long Island). I was mindlessly scrolling Instagram for the 1000th hour that week and thought, "How could I access this data programatically?". After 30 seconds of searching it became clear that Instagram's API was not going to be of any use so I was going to have to figure it out myself, and thus the beginning of instascrape was born.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file insta-scrape-0.8.0.tar.gz.
File metadata
- Download URL: insta-scrape-0.8.0.tar.gz
- Upload date:
- Size: 11.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bc41a2b202062ac905df92d8e94345c652e5011432c6119a2ea75f0edd94be3b
|
|
| MD5 |
b8c240d2f790d6e621e78e6702124175
|
|
| BLAKE2b-256 |
f465e7f7ae5b06f6b0eece664a941a80e0ea80ce73b3c634d13b2e7211e662b7
|
