How to Extract App Store Reviews Data in 4 Easy Steps with Python?

Web scraping could be relatively easy or complex as per the methodology you select for scraping. Fortunately for extracting App Store reviews, you can get an easy and wonderful package, which can assist you to scrape reviews of your app that you can utilize to perform sentiment analysis.

Step 1: Installing the applicable package i.e. app_store_scraper

pip install app_store_scraper

Step 2: Import applicable packages

from app_store_scraper import AppStore import pandas as pd import numpy as np import json tiktok = AppStore(country="us", app_name="tiktok")

This can be accomplished with the help of a simple script. We’ll utilize BeautifulSoup and Python to assist us to extract data, and we’ll keep an eye on eBay prices.

To begin, this is the basic code we’ll need to create an Amazon page and set up BeautifulSoup to enable us to search the page for useful data using CSS selectors.

# -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requestsheaders = {'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/601.3.9 (KHTML, like Gecko) Version/9.0.2 Safari/601.3.9'} url = ' &_sacat=0&LH_TitleDesc=0&Model=Apple%20iPhone%208&_sop=12&LH_PrefLoc=0&rt=nc&Storage%20Capacity=64%20GB&_dcat=9355'response=requests.get(url,headers=headers) soup=BeautifulSoup(response.content,'lxml')
  • ‘app_store_scraper’ packages are for extracting the reviews
  • ‘pandas’ to scrape reviews in the data frames
  • ‘numpy’ to do data transformation

After running the command, you need to see something like that. We can able to scrape 120 TikTok reviews in the initial run.

In the second run, we would be able to extract 220 reviews. Continue running this command again and again to extract different reviews.

It is the most significant step, the reviews get stored in a ‘tiktok’ variable as well as if you are running a command ‘’ for checking them, you could see they get stored in a JSON format.

Step 3: Format Transformation (JSON to Panda Data frame)

df = pd.DataFrame(np.array(,columns=['review']) df2 = df.join(pd.DataFrame(df.pop('review').tolist())) df2.head()

The result will look like that.

Step 4: Save that as CSV

df2.to_csv('/Users/Desktop/App Store Review tiktok.csv')

“/Users/Desktop/” in a pathway of your computer, a location where you need to save a CSV file.

The of the saved CSV file is “/App Store Review tiktok.csv”.

For more information, you can always contact X-Byte Enterprise Crawling!

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Founder of “X-Byte Enterprise Crawling”, a well-diversified corporation providing Enterprise grade Web Crawling service & solution, leveraging Cloud DaaS model