insta-scrape 0.0.5

Super lightweight Instagram web scraper for data analysis

instascrape

Lightweight Python 3 web scraper for data mining Instagram easily and efficiently!

Table of Contents

• Installation
• Features
  • Profile
  • Post
  • Hashtag
• Support

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Installation

Clone

• Clone to your local machine using

$ git clone https://github.com/chris-greening/instascrape.git 

Setup

• 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
• post count: int
• profile pic URL: str
• business account: bool
• verified: bool
• etc.

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

• amount of likes: int
• amount of comments: int
• hashtags used: List[str]
• usernames tagged: List[str]
• caption: str
• location: str
• etc.

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
• pic URL: str
• name: str
• user is following: bool
• allowed to follow: bool
• etc.

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

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Support

Reach out to me if you have questions or ideas!

• [e-mail]