insta-scrape 0.0.7

Super lightweight Instagram web scraper for data analysis

instascrape

Super lightweight Python 3 web scraping tools for data mining Instagram

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]