Google Maps Reviews Scraper

How to scrape Google Reviews?

To scrape reviews from Google Maps, find any place on Google Maps from which you want to get reviews, then copy its URL, and paste it into the input field of Google Maps Reviews Scraper. Hit the Start button and wait for your data to roll in. It might take a few minutes, so just grab a cup of coffee while you let our robots do the work 🦾☕ When the run has finished, you can preview and download your data in several formats.

Watch this video for guidance:

Which Google reviews data can I extract?

You can use this tool to get all detailed information about reviews on Google Maps. Note that Personal data extraction about reviewers is also possible but has to be explicitly enabled in input (see the Legality of scraping Google Maps section).

Need a more complex Google Maps scraper?

If you need more detailed data from Google Maps, try our Google Maps Scraper. It's a little more complicated to set up, but you can get almost any data from Google Maps.

Getting fewer hotel reviews? Try the Reviews Origin option.

The new "Reviews Origin" input option lets you specify which review sources to scrape. The default All Reviews setting collects reviews from both Google and third-party sites like TripAdvisor. However, recent Google updates have reduced the number of Google reviews available through this option, particularly for hotel reviews.

To maintain complete Google review coverage, set Reviews origin to Google. This setting targets only Google-native reviews, matching previous collection volumes and reliability.

Need to extract emails from Google places?

Looking to scrape contact information from Google Maps? Give our Google Maps Email Extractor a try! This email scraper allows you to extract almost any contact data from Google places: emails, addresses, phone numbers, and social media details. You can also follow this tutorial to get started.

Need to do sentiment analysis using Google reviews?

You can combine the powers of this review scraping tool with AI Text Analyzer for Google Reviews. This text analyzer tool allows to identify the most commonly used keywords in each review. See how we did it for 500 disappointing reviews on Google Maps.

Not your cup of tea? Build your own scaper

Google Maps Reviews scraper doesn’t exactly do what you need? You can always build your own! We have various scraper templates in Python, JavaScript, and TypeScript to get you started. Alternatively, you can write it from scratch using our open-source library Crawlee. You can keep the scraper to yourself or make it public by adding it to Apify Store (and find users for it).

What are the limits of scraping reviews from Google Maps?

We recommend using Number of reviews field to limit the number of reviews to scrape. You don't usually need more then 1000 (or less) reviews. Google tends to push reviews with text and pictures to the top so they are usually among the first ones to be scraped. Large number of reviews from one place are also more difficult to scrape and the run can be potentially more expensive.

How many results can you scrape with Google Maps Reviews scraper?

Google Maps Reviews scraper can return thousands results on average. However, you have to keep in mind that scraping maps.google.com has many variables to it and may cause the results to fluctuate case by case. There’s no one-size-fits-all-use-cases number. The maximum number of results may vary depending on the complexity of the input, location, and other factors. Some of the most frequent cases are:

• website gives a different number of results depending on the type/value of the input
• website has an internal limit that no scraper can cross
• scraper has a limit that we are working on improving

Therefore, while we regularly run Actor tests to keep the benchmarks in check, the results may also fluctuate without our knowing. The best way to know for sure for your particular use case is to do a test run yourself.

How much scraping Google Maps Reviews costs?

This scraper uses a pay-per-result pricing model, making costs easy to calculate: it will cost you $0.50 to scrape 1,000 Google reviews, which comes to $0.0005 per review. With the Apify Free plan, you get $5 free usage credits every month, allowing you to scrape over 10,000 Google reviews for free within those credits.

If you need regular data extraction, we recommend the $49/month Starter plan — this would let you scrape over 98,000 Google reviews every month.

FAQ

Why scrape reviews from Google Maps?

So what can you do with the Google Maps data you collect by web scraping? Here are just some ideas:

• search, monitor, and analyze your competitors
• analyze reviews of your place or your competitors
• do market research for keywords that are the most important in your industry

Can I integrate Google Maps Reviews Scraper with other apps?

Yes. Google Maps Reviews Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. Or you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Google Maps Reviews Scraper successfully finishes a run.

Can I use Google Maps Reviews Scraper with the API?

Yes, using Apify API which will give you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.

To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package.

Check out the Apify API reference docs for full details or click on the API tab for code examples.

Your feedback

We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Google Maps Reviews Scraper or simply found a bug, please create an issue on the Actor’s Issues tab in Apify Console.