Scraping restaurant reviews at scale unlocks real, structured insights into customer sentiment, competitive positioning, menu performance, and location-based trends.
Collecting that data manually or maintaining fragile scrapers is time-consuming and unreliable.

With SerpApi, you can access restaurant reviews from platforms like Google Maps, Yelp, and OpenTable through a fast, stable API that handles proxies, CAPTCHAs, and parsing for you.
This guide brings together everything you need to know about extracting and analyzing restaurant review data. Whether you're building a reputation-monitoring tool, powering a food discovery app, running market research, or tracking customer experience across multiple locations.
Google Maps reviews
Google Maps is one of the most widely used platforms for discovering local businesses, making it a critical source of restaurant review data. With millions of users contributing ratings, photos, and detailed feedback, it provides a comprehensive view of customer sentiment across locations. Scraping Google Maps reviews allows you to analyze trends at scale, from overall ratings and review frequency to keyword-level insights about food quality, service, and atmosphere.
SerpApi makes scraping Google Maps reviews easy, using the Google Maps Reviews API. You can read the full documentation here.
Get started with our blog post on Scraping Google Maps place reviews results:

Now let's take a look at collecting reviews from OpenTable.
OpenTable
OpenTable reviews come from verified diners who have actually completed reservations, which adds a layer of credibility and trust to the feedback. This makes the platform especially valuable for understanding the full dining experience, from booking to service and ambiance. Scraping OpenTable reviews enables you to analyze high-intent customer feedback and gain insights into how restaurants perform across different stages of the customer journey.
SerpApi makes scraping OpenTable reviews easy, using SerpApi's OpenTable Reviews API. Read the full documentation here.
Get started with our blog post on scraping reviews from OpenTable:

Now let's take a look at collecting reviews from Yelp.
Yelp Reviews
Yelp is known for its highly engaged community and in-depth restaurant reviews, often offering richer narratives than other platforms. Users frequently share detailed experiences, making Yelp an excellent source for qualitative insights into customer preferences and pain points. By extracting Yelp review data, you can uncover nuanced sentiment, identify recurring themes, and better understand how restaurants differentiate themselves in competitive markets.
SerpApi makes scraping Yelp reviews easy, using SerpApi's Yelp Reviews API. Read the full documentation here.
To scrape Yelp reviews, you'll first need to identify the location's place_id to let the API know what location we want to scrape reviews from. This means we need to start with scraping the Yelp results, in order to find locations to scrape reviews for.
Get started with our blog post on scraping results from Yelp using SerpApi's Yelp Search API:

Now that you have collected locations from Yelp, you can now get started with our blog post to scrape the actual reviews from Yelp:

Optional: If you want additional, detailed data about the places, we also offer a Yelp Place API.

Additional Examples / Languages
Are the blogs shared above not in the language you prefer? You can see full examples on our documentation pages, including a drop down with what programming language you prefer!

You can also try all of our APIs in our Playground and test out the parameters: https://serpapi.com/playground.
If you want to see the code that your search in the Playground is using, you can click the "Export to code" option and select the language.

Conclusion
Scraping restaurant reviews at scale allows businesses, researchers, and developers to move beyond anecdotal feedback and start working with real, structured data. By collecting reviews from platforms like Google Maps, Yelp, and OpenTable, you can build datasets that reveal customer sentiment trends, identify strengths and weaknesses across locations, monitor competitors, and make data-driven decisions about menus, pricing, and operations.
Instead of spending time managing proxies, handling CAPTCHAs, and constantly fixing broken scrapers, SerpApi makes it possible to access review data reliably and at scale.
If you have any feedback or questions, please reach out to us at contact@serpapi.com ❤️
Resources
Google Maps
Blogs
- Scrape Google Maps data and reviews using Python
- Web Scraping Google Maps Reviews with Nodejs
- Scrape Google Maps Reviews for London's Best Roast Dinner! (Part 1)
- Scrape Google Maps Reviews for London's Best Roast Dinner! (Part 2)
- How to Scrape Google Maps Reviews in Make
- How to Scrape Google Maps Reviews with n8n and Google Sheets
- Scrape Google Maps Business Reviews with SerpApi's Google Sheets Extension [No Code]
SerpApi Documentation Pages
OpenTable
Blogs
SerpApi Documentation Pages
Yelp API
Blogs
SerpApi Documentation Pages




