LAGIC
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Fast Google Maps Reviews Scraper API | Extract Ratings & Text — Google Maps | Lagic

Built For

Extract all customer reviews, ratings, and reviewer details for any Google Maps location.

Curated by Lagic·Verified working

Configure Agent

URLs to start with. It should be place URL

Place FIDs to start with. `fid` attribute of the place must be used

Review IDs to start with. `id` attribute of the review must be used

Sorts reviews by the given option.

Restricts reviews to the given language, given by an ISO 639-1 code.

Maximum number of items that you want as output.

Function that takes each of the objects as argument and returns data that will be mapped by the function itself.

Results to deliver

1,300 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

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

Sample Data Preview

Full review text (original and translated if applicable)Star rating (1-5)Date the review was published and last editedNumber of likes the review receivedReviewer's name, profile photo, and URL to their profileTotal number of reviews the reviewer has contributed on Google Maps
Value...Value...2026-04-0520https://...380
Value...Value...2026-04-0520https://...637
..................
Exports as:CSVXLSXJSON

Overview

Scrape Google Maps for specific business reviews, extracting the full text, star rating, reviewer details, and owner responses. Ideal for sentiment analysis and competitor research.

Google Maps is the single most important source of customer feedback for local businesses. This tool allows you to access that data at scale by extracting all reviews for any given business location. Simply provide a Google Maps place URL, and you'll get a structured dataset containing every piece of review information. ### How it's used Marketing agencies, brand managers, and local SEO specialists use this data to perform detailed competitor analysis, track customer sentiment over time, and manage online reputation. You can see not just the star rating and review text, but also details about the person who left the review, including their name, a link to their profile, and how many other reviews they've written. The tool also captures the business owner's response, providing a complete picture of the customer interaction. ### Key data points You can sort reviews by newest, most relevant, highest, or lowest rating, and even filter by language to zero in on specific feedback. The output includes the full review text, the date it was published, the star rating, any photos attached by the reviewer, and the business's reply. This level of detail is critical for identifying recurring issues, highlighting positive testimonials for marketing, and understanding exactly what customers are saying.

Key Capabilities

  • ✓ Full review text (original and translated if applicable)
  • ✓ Star rating (1-5)
  • ✓ Date the review was published and last edited
  • ✓ Number of likes the review received
  • ✓ Reviewer's name, profile photo, and URL to their profile
  • ✓ Total number of reviews the reviewer has contributed on Google Maps
  • ✓ The business owner's full text response to the review
  • ✓ URLs for any images attached to the review
  • ✓ Place details including name, full address, and geographic coordinates (latitude/longitude)
  • ✓ Unique IDs for the place (Place ID, FID, CID) and the specific review
  • ✓ Competitor Sentiment Analysis: A restaurant owner extracts all reviews for three nearby competitors to identify their weaknesses and highlight their own strengths in marketing.
  • ✓ Reputation Management for a Franchise: A brand manager for a multi-location franchise scrapes reviews for all their stores to find locations with declining ratings and identify common complaints.
  • ✓ Local SEO Keyword Research: An SEO agency analyzes review texts for their client's industry to discover the exact words and phrases customers use when describing services, improving ad copy and landing pages.
  • ✓ Gathering User-Generated Content: A marketing team collects all 5-star reviews for their business to use as testimonials on their website and social media channels.
  • ✓ Service and Product Improvement: A retail operations manager regularly scrapes reviews to spot trends in customer feedback related to specific products, staff members, or store policies.
  • ✓ Market Research for Expansion: A real estate developer analyzes reviews for businesses in a new neighborhood to understand the local consumer base and demand before launching a new project.
  • ✓ Identifying Brand Advocates: A community manager extracts reviewer data to find prolific, positive reviewers to engage with for loyalty programs or user-generated content campaigns.

Field Dictionary

How To Run This Extractor

1

Find the business on Google Maps and copy its URL from your browser's address bar.

2

Paste the URL into the 'Start URLs' field. You can add multiple URLs to scrape several businesses at once.

3

Select how you want to sort the reviews, such as 'Newest' or 'Lowest rating'.

4

Optionally, set a language filter or a maximum number of reviews to extract.

5

Run the tool and wait for the extraction to complete. Then, download your data as a CSV, JSON, or Excel file.

Frequently Asked Questions

Do I need to be a developer to use this?
No. You can start by simply pasting a Google Maps URL into the 'Start URLs' field and running the tool.
What formats can I export the data in?
Is it legal to scrape Google Maps reviews?
How many reviews can I scrape at once?
Can I use this for client work?
How is this different from just reading reviews on Google Maps?
How fresh is the data?
Can I schedule this to run automatically?
Can I sort the reviews before scraping?
Can I scrape reviews in a specific language?
What is a 'Place FID'?