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Google Maps Store Review Scraper — Google Maps | Lagic

Built For

Extract all customer reviews for any local business from Google Maps.

Curated by Lagic·Verified working

Configure Agent

Google Maps store detail page URLs. (E.G., 'Roma+Roasters+Coffee+%26+Tea/@38.4381047,-122.7214884,17z/data=!3m1!4b1!4m6!3m5!1s0x80843801b3bffdf1:0xd45306e6053b45d2!8m2!3d38.4381047!4d-122.7214884!16s%2Fg%2F1tdc5fr1?hl=en&entry=ttu&g_ep=EgoyMDI0MTAwNy4xIKXMDSoASAFQAw%3D%3D)

The maximum number pages to crawl.

Select the language for Google Maps data. The default is 'English (United States)'.

Select the sorting method for reviews. Defaults to 'Newest'. (Note: Due to website limitations, selecting 'Newest' will collect all reviews, while other sorting options can collect up to 360 reviews maximum.)

Results to deliver

100 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

1 credit per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full text of the customer's reviewStar rating given by the reviewer (1-5)Approximate date the review was postedNumber of 'likes' for the reviewReviewer's name and a link to their profileWhether the reviewer is a Google 'Local Guide'
Value...Value...2026-04-0588https://...10097
Value...Value...2026-04-05237https://...10095
..................
Exports as:CSVXLSXJSON

Overview

Scrape customer reviews from any Google Maps business page. Get review text, star ratings, author details, and dates to analyze customer feedback or monitor competitors.

Google Maps reviews are the modern-day word-of-mouth, directly influencing customer decisions. This tool pulls that raw feedback directly from any business listing, giving you a structured dataset of what customers are saying, who they are, and what they care about. This isn't just for checking your own star rating. It's for deep analysis. Marketing agencies use this to build monthly sentiment reports for clients, comparing their reviews against their top three competitors. Franchise operators use it to spot issues at one location that aren't happening at another. Market researchers can aggregate reviews across dozens of businesses in a category (e.g., all coffee shops in a zip code) to identify broad trends and unmet customer needs. ### What you get You provide one or more Google Maps business URLs. The tool returns a clean table of the reviews, including the full review text, the star rating given, the reviewer's name, when they posted, and how many 'likes' the review received. You also get context about the reviewer, such as whether they're a Google 'Local Guide' and how many total reviews they've written. ### How to use it To get the most complete data, set the sorting option to 'Newest'. This setting allows the tool to collect all available reviews for a business. Other sorting options, like 'Highest rating', are limited by Google Maps to a maximum of about 360 reviews. You can also specify the language to ensure you're capturing reviews as they were written for the local audience.

Key Capabilities

  • Full text of the customer's review
  • Star rating given by the reviewer (1-5)
  • Approximate date the review was posted
  • Number of 'likes' for the review
  • Reviewer's name and a link to their profile
  • Whether the reviewer is a Google 'Local Guide'
  • Total number of reviews the author has written
  • URLs of any images attached to the review
  • Name of the business being reviewed
  • Overall star rating of the business
  • Total number of reviews for the business
  • Reputation Management: An agency can monitor reviews for all their clients and their top competitors to spot trends and respond to negative feedback.
  • Competitive Analysis: A restaurant owner can analyze reviews of nearby competitors to find common complaints about their service, food, or pricing.
  • Operational Improvement: A retail chain can compare reviews across all its locations to identify which stores have the best customer service and why.
  • Market Research: A consultant can scrape reviews for a whole business category in a specific city to write a report on local consumer preferences.
  • Lead Generation: A marketing firm can identify businesses with low average ratings and a high volume of recent negative reviews to offer their services.
  • Sentiment Analysis: Feed the extracted review text into a sentiment analysis tool to get a quantitative score of customer happiness over time.

Field Dictionary

How To Run This Extractor

1

Find the businesses you want to analyze on Google Maps and copy their URLs.

2

Paste the list of URLs into the 'Store URLs' input field.

3

Select 'Newest' in the 'Sort by' field to ensure you collect all available reviews.

4

Choose the language you want the reviews to be in.

5

Run the tool and wait for the review data to be collected.

6

Download your data as a spreadsheet or JSON file.

Frequently Asked Questions

Do I need to be a developer to use this?
No. You just need the Google Maps URLs for the businesses you want to track. You can paste them in and run the tool.
What format does the data come in?
Is it legal to scrape Google Maps reviews?
How many businesses can I scrape at once?
Can I use this data for my clients?
How is this different from just reading the reviews on Google Maps?
Can I get all reviews for a business?
Can I scrape reviews in different languages?
Can I schedule this to run automatically?
How fresh is the data?