Pricing
$25.00 / 1,000 results
Extract customer reviews, ratings, photos, and business insights from any Google Maps location. Perfect for market research, sentiment analysis, and competitive intelligence. Supports bulk scraping with personal data extraction for comprehensive business analytics.
0.0 (0)
Pricing
$25.00 / 1,000 results
0
1
1
Last modified
9 hours ago
You can access the Google Maps Review 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, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
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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`.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxReviews": { "title": "Number of reviews", "type": "integer", "description": "Max number of reviews per place to scrape. If you fill in 0 or nothing, no reviews will be scraped. For all reviews, just put 99999.", "default": 1000 }, "reviewsSort": { "title": "Sort reviews by", "enum": [ "newest", "mostRelevant", "highestRanking", "lowestRanking" ], "type": "string", "description": "Define how reviews should be sorted.", "default": "newest" }, "language": { "title": "Language", "enum": [ "en", "af", "az", "id", "ms", "bs", "ca", "cs", "da", "de", "et", "es", "es-419", "eu", "fil", "fr", "gl", "hr", "zu", "is", "it", "sw", "lv", "lt", "hu", "nl", "no", "uz", "pl", "pt-BR", "pt-PT", "ro", "sq", "sk", "sl", "fi", "sv", "vi", "tr", "el", "bg", "ky", "kk", "mk", "mn", "ru", "sr", "uk", "ka", "hy", "iw", "ur", "ar", "fa", "am", "ne", "hi", "mr", "bn", "pa", "gu", "ta", "te", "kn", "ml", "si", "th", "lo", "my", "km", "ko", "ja", "zh-CN", "zh-TW" ], "type": "string", "description": "Results details will show in this language.", "default": "en" }, "personalData": { "title": "Personal data", "type": "boolean", "description": "This settings allows you to obtain personal data about reviewer (his ID, name, URL and his photo URL) and about review (ID and URL). 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.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "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" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}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 Review Scraper from the options below:
If youβd like to learn more about how OpenAPI powers GPTs, read our blog post.
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