In this article, we will learn how can we get Instagram profile details using web scraping. Python provides powerful tools for web scraping, we will be using Instagramy here. This tool is specifically made for Instagram and also analyze the data using Pandas.
Installation
The python package Instagramy is used to scrape the Instagram quick and easy. This package is installed by running the following command. Based on network connection it scrapes the data for you.
pip install instagramy
Example 1: Scraping basic details
Python3
from instagramy import Instagram # Connecting the profile user = Instagram( "geeks_for_geeks" ) # printing the basic details like # followers, following, bio print (user.is_verified()) print (user.popularity()) print (user.get_biography()) # return list of dicts posts = user.get_posts_details() print ( '\n\nLikes' , 'Comments' ) for post in posts: likes = post[ "likes" ] comments = post[ "comment" ] print (likes,comments) |
Output:
Example 2: Analysing the data
Python3
from instagramy import Instalysis # Instagram user_id of ipl teams teams = [ "chennaiipl" , "mumbaiindians" , "royalchallengersbangalore" , "kkriders" , "delhicapitals" , "sunrisershyd" , "kxipofficial" ] data = Instalysis(teams) # return the dataframe data_frame = data.analyis() data_frame |
Output:
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