Web scraping Google play store reviews

So, what is the easiest way to scrape reviews from an app in Google Play store ?

Figure 1: Screenshot of app reviews in Google Play store.

At the end of this article, you will be able to extract these reviews as a CSV file shown in figure 2.

Figure 2: Screenshot of app reviews in Google Play store extracted as CSV file.

Our pricing starts at $99 for fully managed Google Play store scraping.

You can simply sit back and let us handle all complexities of web scraping a site like Google that has plenty of anti-scraping protections built in to try and dissuade from people scraping it in bulk.

We can also create a rest API endpoint for you if you want structured data on demand.

We will use a browser automation library called Selenium to extract results for the a particular app in play store.

Selenium has bindings available in all major programming language so you use whichever language you like, but we will use Python here.

Once we have the raw html source, we should use a Python library called BeautifulSoup for parsing the raw html files.

From inspecting the html source, we see that review authors have span tags and belong to class ‘X43Kjb’.

The next step is extracting review dates of each review.

For brevity we will only show results from first three results, and you can verify that the first result matches the text in figure 2 above.

You can take the lists above, and read it as a pandas DataFrame. Once you have the Dataframe, you can convert to CSV, Excel or JSON easily without any issues.

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