How to Scrape Google reviews (no code 2022)

By Victor Bolu @June, 23 2023

how to scrape google reviews (no code 2022)

Google reviews Scraper Steps:


In this article, we are going to explain how to use the automated Google Reviews scraper to extract the reviews for places from Google. With the help of google reviews scraper, you will be able to extract Google reviews for places listed on google to get all information like business names, addresses, reviews, reviewer name and ratings.

For this user guide, we are going to use Wizard mode


Step 1: Sign up /Sign in

If you don’t have an account on webautomation, please use the signup link for a free trial. New users can use the email address to create an account.

Step 2: Find the Google Reviews Scraper

When you log in, you will be redirected to the ‘Get started wizard’. Go to the search bar and enter ‘Google reviews’ and then click on the search icon on the right side as shown below. After getting the search result click on it to activate.



Step 3: Find exact URLs from Google Reviews

Go to Google in a new tab, and then find the result by using the search feature. For example, let's search for PEarl Marina Estates Entebbe, Uganda.

When your search is completed, copy the URL and go back into WebAutomation. Find the URL below that we used.,1,,,


The only valid format for URLs contains /search?q and starts with


Note: To get the best result, make sure you use the more specific keyword in the Google search so that you will get the exact result and do not waste credits on unwanted results.


Step 4: Add values in the extractor

Copy and paste the URL above in the starter links input box and then click on ‘Save & Continue’. 


Note: All valid Starter URLs must contain /search?q as shown above.


Step 5: Run the Extractor

Click on the "Run now " button to start the extractor session as shown below.


Step 6: WebAutomation will get the data

Depending on the no. of rows needed to be extracted it will take some time even in some cases hours to scrape all the results. The extractor will show the status as running while collecting all the data. Data preview of 100 rows are shown below.



Step 7: Download the data

Click on the download button and specify the file format; options are CSV, JSON, XLSX, XML, and JL as shown below.




Step 8: Open the Data File

See below a screenshot of the results of scraping the link above. 





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About The Author

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Chief Evangelist

Victor is the CEO and chief evangelist of He is on a mission to make web data more accessible to the world