Extract all Google Maps reviews for any business to analyze customer feedback and competitor performance.
List of URLs to be crawled. They can be search URLs, place URLs or review detail URLs. Valid Google Maps place URLs must contain one of the following subpaths: /maps/search, /maps/place or /maps/reviews.
List of place IDs. You can add place IDs one by one or upload a list using the Bulk edit option.
Max number of reviews per place to scrape. If you want to scrape all reviews, remove the prefilled value.
Define how reviews should be sorted.
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 speci...
Results details will show in this language.
Select whether you want all reviews (from Google, Tripadvisor, etc.) or only reviews from Google
This setting allows you to get personal data about the reviewer (their ID, name, URL, and photo URL) and about review (URL). Note: review ID (reviewId) is always included regardless of this setting. ⚠️ Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.
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
Scrape reviews from any Google Maps business page by URL or Place ID. Get review text, star ratings, reviewer details, and owner responses for sentiment analysis and reputation management.
Google Maps reviews are a critical source of truth for how customers feel about a business. They influence rankings, drive foot traffic, and provide direct feedback on operations. This tool allows you to collect this data at scale for any business, turning public reviews into a structured dataset for analysis. ### Who is this for? * **Multi-location Businesses:** Franchise owners and corporate brand managers can monitor customer satisfaction across all their locations, identifying high-performing and underperforming branches. * **Marketing & SEO Agencies:** Conduct detailed competitor analysis for clients, benchmark reputation, and find keywords customers use to describe products and services. * **Hospitality & Retail Managers:** Get granular feedback on service, cleanliness, product availability, and staff performance to make operational improvements. * **Market Researchers:** Aggregate customer sentiment data across an entire industry or geographical area to identify broad market trends. This tool extracts key details for each review, including the full review text, the star rating given, the date it was published, and information about the reviewer (like their name and whether they are a "Local Guide"). It also captures the business owner's response, if one was provided. You can specify the number of reviews to get, sort them by newest or most relevant, and even filter for reviews posted after a certain date.
Provide a list of Google Maps business URLs or unique Place IDs.
Specify the maximum number of reviews you want for each place.
Choose how to sort the reviews, such as 'newest' or 'highest ranking'.
Optionally, set a date to only get reviews newer than that time.
Decide whether to include personal data about the reviewers.
Run the tool and download your complete dataset as a CSV or Excel file.