insta-scrape 0.1.0

Super lightweight Instagram web scraper for data analysis

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 for the seasoned data scientist trying to quickly get an idea of a pages engagement as well as beginners looking to explore web scraping and the beauty of Python for the very first time.

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Table of Contents

• Installation
  • pip
  • clone
• Features
  • Profile
  • Post
  • Hashtag
• License
• Support

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Installation

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 

and install required dependencies using

$ pip3 install -f requirements.txt

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Features

Profile

Representation of an Instagram profile. Calling static_load takes care of requesting and scraping static HTML regarding the given URL or username. Profile.static_load scrapes 36 data points including

followers: int
following: int
posts: int 
profile_pic_url: str
is_business_account: bool
is_verified: bool 
#etc. 

Sample code:

from instascrape import Profile
url = 'https://www.instagram.com/gvanrossum/'
post = Profile(url)
post.static_load()

Post

Representation of a single Instagram post. Calling static_load takes care of requesting and scraping static HTML regarding the given URL or post shortcode. Post.static_load scrapes 29 data points including

likes: int
amount_of_comments: int
hashtags: List[str]
tagged_users: List[str]
caption: str
location: str
#etc. 

Sample code:

from instascrape import Post 
url = 'https://www.instagram.com/p/CFcSLyBgseW/'
post = Post(url)
post.static_load()

Hashtag

Representation of an Instagram hashtag page. Calling static_load takes care of requesting and scraping static HTML regarding the given URL or hashtag name. Hashtag.static_load scrapes 10 data points including

amount_of_posts: int
name: str
is_following: bool
allow_following: bool
#etc. 

Sample code:

from instascrape import Hashtag 
url = 'https://www.instagram.com/explore/tags/python/'
hashtag = Hashtag(url)
hashtag.static_load()

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License

MIT

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Support

Reach out to me if you have questions or ideas!

• [e-mail]