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Comprehensive Google Maps Reviews Scraper — Google Maps | Lagic

Built For

Extract all customer reviews for any Google Maps location into a single dataset.

Curated by Lagic·Verified working

Configure Agent

List of Google Maps URLs to extract reviews from.

List of Google Maps Feature IDs (FID) to extract reviews from.

List of Google Maps CID (customer ID) values.

List of Google Place IDs (from Places API or network capture).

The maximum number of reviews to extract per place input (between 50 and 10,000).

How to sort the reviews before scraping.

Results details will show in this language.

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.

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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

Business name, address, phone number, and websiteOverall star rating and total number of reviewsReviewer's name, profile photo URL, and total number of reviews they've leftIndividual review star rating (1-5)Full review text (with optional translation)Date the review was published
Sample Text...991https://...10095Value...2026-04-05
Sample Text...163https://...10096Value...2026-04-05
..................
Exports as:CSVXLSXJSON

Overview

Scrape public reviews from any Google Maps business listing. Get the star rating, review text, reviewer details, and owner responses for sentiment analysis and competitive research.

Google Maps reviews are a critical source of customer feedback and competitive intelligence, but getting this data at scale is impossible manually. This tool automates the process of extracting public reviews from any business listing on Google Maps. Provide a list of Google Maps URLs, CIDs, FIDs, or Place IDs, and the tool will collect detailed information for each review. You can specify the number of reviews to get (up to 10,000 per location) and sort them by newest, most relevant, or by rating (highest or lowest first). This is ideal for pulling just the most recent feedback or focusing on negative reviews to identify service issues. ### Who is this for? * **Marketing & SEO Agencies:** Monitor client reputations, analyze competitor weaknesses, and generate reports on customer sentiment for local businesses. * **Franchise & Multi-location Businesses:** Compare performance across all your locations, identify high-performing branches, and spot regional service trends. * **Market Researchers:** Gather raw data on public opinion about businesses in specific categories or geographic areas. * **Brand Managers:** Track brand health and get unfiltered customer feedback without having to visit each Google Maps page individually. The final output is a structured data file containing everything from the review text and star rating to details about the reviewer and any public response from the business owner. This data can be used directly in spreadsheets for analysis or fed into business intelligence tools for visualization.

Key Capabilities

  • ✓ Business name, address, phone number, and website
  • ✓ Overall star rating and total number of reviews
  • ✓ Reviewer's name, profile photo URL, and total number of reviews they've left
  • ✓ Individual review star rating (1-5)
  • ✓ Full review text (with optional translation)
  • ✓ Date the review was published
  • ✓ Any photos included in the review
  • ✓ Business owner's response text and date
  • ✓ Unique IDs for the review, reviewer, and place (Place ID, CID, FID)
  • ✓ Competitive Sentiment Analysis: Scrape the 200 most recent reviews from your top five local competitors to analyze common complaints and praises.
  • ✓ Brand Reputation Monitoring: Schedule a weekly run to collect all new reviews for your 50+ store locations to track customer satisfaction over time.
  • ✓ Service Improvement: Extract all 1-star and 2-star reviews from your business to identify recurring operational issues and areas for staff training.
  • ✓ Local SEO Strategy: Analyze the language used in 5-star reviews of top-ranking competitors to find keywords for your own Google Business Profile optimization.
  • ✓ Academic Research: Gather thousands of reviews from the hospitality industry across different cities to study post-pandemic travel sentiment.
  • ✓ Lead Generation for Agencies: Identify businesses with a high number of unanswered negative reviews to pitch reputation management services.
  • ✓ Product Feedback Collection: Filter reviews for mentions of specific products or services to gather public opinion and guide development.

Field Dictionary

How To Run This Extractor

1

Find the business listings you want to scrape on Google Maps.

2

Copy the URL, CID, FID, or Place ID for each location.

3

Paste your list of identifiers into the appropriate input field.

4

Set the maximum number of reviews to extract per location and choose a sorting method.

5

Run the tool to begin the extraction process.

6

Download your complete dataset as a CSV, Excel, or JSON file.

Frequently Asked Questions

Do I need to be a developer to use this?
No. You just need the Google Maps URL or another identifier for the business you want to scrape. You can configure everything from a web-based interface.
What format does the data come in?
Is it legal to scrape Google Maps reviews?
How many locations can I scrape at once?
Can I use this for client work?
How is this different from just reading reviews on Google Maps?
What's the difference between a URL, CID, FID, and Place ID?
Can I get more than the default 50 reviews?
Can I get reviews in a language other than English?
How fresh is the data?
Can I schedule this to run automatically?