Pricing

$0.35 / 1,000 reviews

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Google Maps Reviews Scraper

Try for free

Scrape all Google Maps reviews using keywords, place URLs, or IDs. Filter by date, rating, or keyword, and capture reviewer details, translations, photos, aspect ratings, owner replies, and complete business info in structured format

Pricing

$0.35 / 1,000 reviews

Rating

5.0

(3)

Developer

Billy

Actor stats

Bookmarked

232

Total users

Monthly active users

22 hours

Issues response

2 days ago

Last modified

Categories

Lead generation

Real estate

You can access the Google Maps Reviews Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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        "properties": {
          "include_personal": {
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            "type": "boolean",
            "description": "If enabled, the actor will include personal information about the reviewer, such as name, user ID, and profile URL.",
            "default": false
          },
          "place_urls": {
            "title": "Google Maps Place URLs",
            "uniqueItems": false,
            "type": "array",
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            "items": {
              "type": "string"
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          },
          "place_ids": {
            "title": "Place IDs",
            "uniqueItems": true,
            "type": "array",
            "description": "Google Place IDs (`place_fid`) to scrape (e.g., `ChIJoTXWl8dbwokRpKA2BJFVsGA`).",
            "items": {
              "type": "string"
            }
          },
          "anyDate": {
            "title": "Scrape reviews newer than",
            "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$",
            "type": "string",
            "description": "Select date in format YYYY-MM-DD or {number} {unit}"
          },
          "lang": {
            "title": "Translate to",
            "type": "string",
            "description": "Set the language in which reviews should be returned. It will include both the original language and the specified target language.",
            "default": "en"
          },
          "limit": {
            "title": "Number of reviews",
            "maximum": 100000,
            "type": "integer",
            "description": "Maximum number of reviews to scrape per place.",
            "default": 200
          },
          "order": {
            "title": "Sort reviews by",
            "enum": [
              "most_relevant",
              "newest",
              "highest_rating",
              "lowest_rating"
            ],
            "type": "string",
            "description": "Set the order of the reviews",
            "default": "most_relevant"
          },
          "source": {
            "title": "Reviews source",
            "enum": [
              "all",
              "google",
              "tripadvisor",
              "trip_com",
              "priceline",
              "zenhotels"
            ],
            "type": "string",
            "description": "Select the source of the reviews. Choose 'All' to scrape from all available sources, or specify 'Googles' for Google reviews only.",
            "default": "all"
          },
          "searchKeyword": {
            "title": "Filter reviews by keyword",
            "type": "string",
            "description": "This filter looks for keywords used in reviews, e.g `good`, `bad` etc",
            "default": ""
          },
          "search": {
            "title": "Search queries & Google maps URLs",
            "type": "array",
            "description": "Provide one or more search queries (e.g., 'restaurants') or Google Maps search URLs. URLs must include the `maps/search` path to be valid.",
            "items": {
              "type": "string"
            }
          },
          "rating": {
            "title": "Rating",
            "enum": [
              "0.0",
              "2.0",
              "2.5",
              "3.0",
              "3.5",
              "4.0",
              "4.5"
            ],
            "type": "string",
            "description": "Filter out places below a specific average rating. For example, selecting '4.0 and up' will only include places rated 4.0 or higher. Select 'All' to disable rating filtering.",
            "default": "0.0"
          },
          "search_limit": {
            "title": "Page limit per search",
            "maximum": 10000,
            "type": "integer",
            "description": "Set the maximum number of search result pages to process per query or URL. Each page typically contains up to 40 places.",
            "default": 1
          },
          "search_location": {
            "title": "Search location",
            "type": "string",
            "description": "Specify a location to search within, such as a city name (e.g., `Paris`, `Berlin`, `New York`). Useful for general queries like 'restaurants' without geographic context.",
            "default": "New York"
          },
          "search_coordination": {
            "title": "Search coordinates",
            "type": "string",
            "description": "Specify a geographic coordinate in the format `<longitude>,<latitude>` (e.g., `2.3522,48.8566` for Paris). This allows for precise location targeting when used with general queries.",
            "default": ""
          }
        }
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              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
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                "type": "object",
                "properties": {
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                    "type": "string",
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                  "userAgent": {
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                  },
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                    "type": "integer",
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                  },
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                    "type": "integer",
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                    "type": "integer",
                    "example": 0
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}

Google Maps Reviews Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google Maps Reviews Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google Maps Reviews Scraper API in Python

Google Maps Reviews Scraper API in JavaScript

Google Maps Reviews Scraper API through CLI

Google Maps Reviews Scraper API

Comprehensive Google Maps Reviews Scraper

blueorion/fast-google-maps-reviews-scraper

Scrape reviews from Google Maps using URLs, FIDs, CIDs, or Place IDs - FREE CREDIT & $0.5 per 1000 reviews. Extracts full review details, ratings, images, metadata, and contact info. Perfect for analysis, monitoring, or competitive research.

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Google Maps Free Review Scraper

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Google Maps Scraper

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Scrape Google Maps search results in minutes. extracts business names, addresses, phone numbers, websites, ratings, reviews, and coordinates from Google Maps for any keyword or location.

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Google Maps Reviews Scraper

compass/Google-Maps-Reviews-Scraper

Extract all reviews of Google Maps places using place URLs. Get review text, published date, response from owner, review URL, and reviewer's details. Download scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

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Review Extractor Google Map

happitap/review-extractor-google-map

Google Maps Reviews Scraper - Professional Edition Extract comprehensive review data from any Google Maps place (mechanism for 10x faster results.) Start extracting valuable review insights today! Try it free and see why businesses and researchers trust our scraper for reliable Google Maps data.

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Advanced Google Maps Reviews Scraper

slash-scrape/advanced-google-maps-reviews-scraper

This Google Maps Reviews scraper lets you collect reviews for places from public Google Maps pages. You can get the star rating, review text, photos and images, response from the place, and (optionally) some details about the reviewer like their name and a link to their profile.

slash scrape

475

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Google Maps Store Review Scraper

delicious_zebu/google-maps-store-review-scraper

This Actor scrapes detailed Google Maps reviews, including shop info, reviewer profiles, ratings, and review content with images. It’s designed for fast and efficient data extraction from local businesses.

ВAH

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Google Maps Reviews Scraper

neatrat/google-maps-reviews-scraper

🌟 Scrape thousands of Google Map reviews with advanced filters. Fast, clean, and customizable.

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Free Google Maps Scraper - Low-cost & Extensive

blueorion/free-google-maps-scraper-extensive

Reliable Actor to Extract Google Maps data using Free Credit or $3 per 1000 results. Extensive Data Outputs include `addresses`, `coordinates`, `reviews`, `menus`, `opening hours`, `gas station info`, `EV charging station info`, `tours and activities`, `admission and tickets`, and `hotel deals`

Blue Orion

146

4.9

Google Maps Reviews Scraper

poidata/google-maps-reviews-scraper

Extract Google Maps reviews with ease! Scrape reviews from any Google Maps listing using Place IDs or URLs. Get ratings, text, photos, timestamps, and user data. Perfect for market research, sentiment analysis, and business intelligence. Supports bulk processing and flexible sorting options.