Scraping Google Maps - Business Name, Address, Phone, Email, Location, Rating, Reviews

Web Scraping Google Maps helps you extract contact details, rating/reviews and location of thousands of local businesses. Google Maps business listings is the number one source for local business leads.

A Web Scraper or Web Scraping Software can automatically extract data from websites. In this article we will see how WebHarvy can be used to scrape Google Maps business listings data.

Why should you use WebHarvy for scraping Google Maps data?

WebHarvy is a very easy to use, visual web scraping software which can scrape data from any website. You can use WebHarvy to scrape B2B leads from Google Maps as well as from other local business listing websites like Yellow Pages, Yelp, Manta etc.

WebHarvy allows you to select the data which you need to scrape via a simple, graphical and intuitive user interface. The scraped data can be saved in a variety of file formats or to a database.

How to scrape business contact details from Google Maps using WebHarvy?

Update: Aug 5, 2022 - Infinite Scroll Results

The video shown below explains the steps which you need to follow to scrape data from the latest update of Google Maps. In this update, Google Maps display results in a list which loads more data as you scroll down (infinite scroll). There are no pagination links (individual links to page 2, 3, 4, etc.)

The RegEx strings (to accurately select address, website, phone) and JavaScript code (for pagination) used can be found in the video description.

Older Method - List with pagination links

If Google Maps display pagination links at the end of the left-hand side list, then the method given below can be followed to scrape data from multiple pages.

The following demonstration video shows how you can use WebHarvy to scrape business name, address, phone number and website from Google Maps Business listings.

The Regular Expression strings and JavaScript code used in the above video can be found here.

Steps to follow

  1. 1. Download and install WebHarvy in your computer
  2. 2. Load the Google Maps business listings page within WebHarvy's browser
  3. Web Scraping Google Maps
  4. 3. Open WebHarvy Settings and click on Advanced Miner Options button
  5. 4. Change the miner options as shown in the following image and Apply changes
  6. Google Maps Scraping Miner Options
  7. 5. Start Configuration
  8. 6. Google Maps website completely loads all listings on a page only when we scroll down the results. To simulate this action, click anywhere on the page and select More Options > Run Script from the resulting Capture window.
  9. 7. Paste and Apply this JavaScript code
  10. Scrolling Google Maps Listings
  11. 8. To configure pagination, click on the next arrow (which loads the next page) and set it as the next page link
  12. 9. Click on the first listing, apply Capture More Content and click the Capture Text button. Select the whole listing text as the first data column.
  13. 10. Click again on the same location, but this time, select the Follow this link option, to load the listing details page
  14. 11. To scrape phone number and website address of the business, click the area displaying the same, apply Capture More Content so that the entire section's text is selected and apply regular expressions given here
  15. Web Scraping Google Maps Phone Number and Website
  16. 12. Stop Configuration
  17. 13. Save Configuration
  18. 14. Start Mine
  19. Scraping Google Maps

Scraping Google Maps Reviews

The following video shows how user reviews can be scraped from Google Maps business listings. The JavaScript codes are RegEx strings used in the video can be found here.

Try WebHarvy for Free

If you are interested in using WebHarvy to scrape data from Google Maps and other similar websites, we highly recommend that you download and try using the free evaluation version of WebHarvy available in our website. To get started, please follow the link given below.

Getting started with WebHarvy

Need Support or Have Questions ?

In you have any questions please contact us at support team ( with the details (URL of the webpage + details of the data to be scraped). We are happy to help you get started with your first data extracting project using WebHarvy.


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