Extract Customer Reviews for Any Google Maps Business
URLs to start with.
Array of Google Place IDs to scrape reviews for. Each Place ID should be a string like 'ChIJrTLr-GyuEmsRBfyf1GD_LAY'.
Array of Google Feature IDs to scrape reviews for. Each Feature ID should be a string like '0x89c25966dcad44b7:0x5cb022a289de6b19'.
Array of Google CIDs to scrape reviews for. Each CID should be a string like '15792901685599310349'.
Define how reviews should be sorted.
Language code for the reviews (e.g., 'en', 'de', 'es', 'fr').
Either absolute date (e.g. 2024-05-03) or relative date from now into the past (e.g. 8 days, 3 months). JSON input also supports adding time in both absolute (ISO standard, e.g. 2024-05-03T20:00:00) and relative (e.g. 3 hours) formats. Absolute time is always interpreted in the UTC timezone, not your local timezone - please convert accordingly. Supported relative date & time units: minutes, hours, days, weeks, months, years. ⚠️ Heads up: If this parameter is specified, you must choose the 'Newe..
Maximum number of reviews to scrape per run
Results to deliver
100 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
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Pricing
This tool collects detailed Google Maps reviews, including star ratings, full review text, reviewer details, and owner responses, enabling deep sentiment analysis and competitive intelligence for any local business.
### Uncover Customer Sentiment with Google Maps Review Data Understanding what customers say about businesses on Google Maps is crucial for reputation management, market research, and competitive analysis. This tool provides a structured way to extract public review data, moving beyond manual copy-pasting to deliver actionable insights. It allows you to specify locations using various Google identifiers like Place IDs, Feature IDs, CIDs, or direct Google Maps URLs. You can tailor your data collection by choosing to sort reviews by 'newest' for fresh feedback, 'highest rating' to understand strengths, 'lowest rating' for areas needing improvement, or 'most relevant' for Google's prioritized feedback. Additionally, you can filter reviews by language and set a specific date range to focus on recent feedback, or cap the total number of reviews to manage your data volume. ### Who Benefits from Review Data? * **Marketing Agencies:** Monitor client reputations, identify sentiment trends, and gather testimonials. * **Local Businesses:** Track customer satisfaction, respond strategically to feedback, and benchmark against competitors. * **Market Researchers:** Analyze consumer preferences, identify emerging trends within specific industries, and perform regional studies. * **Product Developers:** Gain insight into user experience for products or services mentioned in reviews. * **Sales Teams:** Qualify leads by understanding a prospect's customer perception or identify businesses struggling with negative feedback who might need services. By providing granular details like reviewer names, their local guide status, number of reviews they've written, and even images attached to reviews, this tool paints a complete picture of customer experiences. It also captures owner responses, giving you a full dialogue thread for each review where available.
Provide the Google Maps URLs, Place IDs, Feature IDs, or CIDs for the locations you want to monitor.
Optionally, specify how you want reviews sorted (e.g., by 'newest' or 'highest rating') and set a language filter.
If you need recent feedback, enter a date range (e.g., '3 months') or a specific date to only collect newer reviews.
Set a maximum number of reviews to collect per location to control the output volume.
Start the data collection process and wait for the tool to gather the requested review information.
Download your structured review data in your preferred format (JSON, CSV, or Excel) when the run is complete.