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Restaurant Review Aggregator — Google Maps | Lagic

Built ForHospitalityMarketing AgenciesMarket Research

Gather comprehensive restaurant reviews from multiple platforms.

Curated by Lagic·Verified working

Configure Agent

Keywords to search on Google Maps.

Filter out places found on Google Maps whose name is too far from all the search keywords or the given names.

Only include places whose name contains the exact keyword or one of the given names (case insensitive). Does nothing if "check place titles" is not selected.

Allows to specify alternative names (to the right, separated by comma) for each place (to the left). Ignored if "checkTitle" is not selected.

Location for the Google Maps search. Use simple locations, e.g., city and country.

Extract more places inside each city in a region, from Google Maps (more expensive).

Only considered if searching places using a keyword. If you want to scrape all available places, set this value to 9999999. If the number is less than 200, deeperCityScrape will be disabled.

The URLs of the Google Maps pages to start from. Only URLs containing the substring "/maps/search" support using the faster Google Maps Extractor. If specified, keyword and other search parameters will be ignored, except for Place IDs.

Results to deliver

400 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

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

Sample Data Preview

Reviewer's nameFull review textReview title (if available)Star rating for the reviewGoogle Maps unique place identifierFull address of the place
Sample Text...Value...Sample Text...Value...10094Value...
Sample Text...Value...Sample Text...Value...10095Value...
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts restaurant reviews from Google Maps, Yelp, TripAdvisor, and Facebook, providing detailed feedback including ratings, review text, and author information for market research or competitor analysis.

### Understand Customer Sentiment Across the Web This tool is designed for anyone needing to gather public customer feedback about restaurants and other local businesses. It starts by identifying places on Google Maps based on your search keywords or provided URLs. From there, it expands its reach to collect reviews from popular platforms like Yelp, TripAdvisor, and Facebook, giving you a holistic view of customer sentiment. Imagine you're a marketing agency needing to audit a client's online reputation, or a restaurant owner wanting to understand what patrons truly think across all major review sites. This tool streamlines that process, collecting valuable data points such as reviewer names, star ratings, the full text of reviews, and even owner responses where available. You can specify a location, filter by alternative business names, and even limit the number of places and reviews collected to manage scope and cost. For those focused on in-depth analysis, the tool allows you to scrape reviews from a specific date forward, ensuring you get the most current feedback. You can also opt to include review pictures and owner responses, enriching your dataset with visual context and direct business engagement. This data is delivered in a structured format, ready for analysis, trend identification, and strategic decision-making. Whether you're tracking competitor performance, identifying service gaps, or monitoring your own brand's online health, this review aggregator provides the raw data you need to make informed choices without the hassle of manual collection.

Key Capabilities

  • Reviewer's name
  • Full review text
  • Review title (if available)
  • Star rating for the review
  • Google Maps unique place identifier
  • Full address of the place
  • Name of the place
  • Direct URL to the place's listing
  • Source platform of the review (e.g., Google Maps, Yelp)
  • Date the review was posted
  • Unique identifier for the review
  • Direct URL to the review
  • Alternative names used for the place (if specified for matching)
  • Restaurant chains monitoring brand perception and service quality across all their locations by aggregating reviews.
  • Marketing agencies performing competitive analysis for hospitality clients by comparing review sentiment and ratings.
  • New restaurant owners researching market reception and identifying successful operational strategies of established competitors.
  • Food critics or bloggers gathering data for trend reports on dining experiences in specific cities or cuisines.
  • Investors evaluating potential restaurant acquisitions by analyzing their historical review performance and customer satisfaction.
  • Product development teams in food service identifying popular menu items or common complaints mentioned in customer feedback.

Field Dictionary

How To Run This Extractor

1

Provide keywords (e.g., "Italian restaurant") and a search location (e.g., "New York, USA") for Google Maps to find relevant places.

2

Optionally, refine your search by adding specific Google Maps URLs or Place IDs if you already know the businesses you want to track.

3

Select which review providers (Google Maps, Yelp, TripAdvisor, Facebook) you want to collect reviews from for the identified places.

4

Specify the maximum number of reviews per place and provider, and optionally set a 'from date' for newer reviews.

5

Choose whether to include review pictures or owner responses to enrich your extracted data.

6

Run the tool, and it will navigate to each identified place on the selected platforms, collecting the specified review data.

Frequently Asked Questions

What skill level is required to use this tool?
No coding is required. You provide search terms or URLs, and the tool handles the data extraction.
What formats can I export the review data in?
How does the tool handle compliance with data privacy regulations?
Can I use this for client work?
How reliable is the data extraction?
Can I schedule recurring data extractions?
How fresh is the data I receive?
How is the cost determined for using this tool?
What happens if a restaurant has slightly different names across platforms?
Is there a limit to how many reviews I can scrape per place?
Can I filter reviews by date?