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Google Maps Scraper

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Google Maps Scraper

Google Maps Scraper

Developed by

franck

franck

Maintained by Community

📍 Scrape Google Maps listings by keyword & location. 🗺️ Get name, rating, reviews, address, phone, site, URL & Place ID. ⚙️ Optional details. ⚡ Fast, proxy-ready, Excel export. 🎯 Ideal for lead gen, market research & local SEO.

0.0 (0)

Pricing

Pay per usage

0

Total users

1

Monthly users

1

Last modified

2 days ago

You can access the Google Maps 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.

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"components": {
"schemas": {
"inputSchema": {
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"properties": {
"searchTerms": {
"title": "Search terms",
"minItems": 1,
"uniqueItems": true,
"type": "array",
"description": "Liste des termes de recherche (ex: garage, restaurant, pharmacie)",
"items": {
"type": "string"
}
},
"location": {
"title": "Location",
"type": "string",
"description": "Ville cible"
},
"maxCrawledPlacesPerSearch": {
"title": "Max places",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Nombre maximum de lieux à scraper par terme de recherche",
"default": 20
},
"language": {
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"es",
"de",
"it"
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"type": "string",
"description": "Code de langue (ex: fr, en, es)",
"default": "fr"
},
"includeDetails": {
"title": "Include Details",
"type": "boolean",
"description": "Si activé, récupère le téléphone et site web de chaque lieu (plus lent mais plus complet). Si désactivé, mode rapide sans ces détails.",
"default": false
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Configuration du proxy Apify (recommandé pour éviter les blocages)",
"default": {
"useApifyProxy": true
}
},
"headless": {
"title": "Mode headless",
"type": "boolean",
"description": "Exécuter le navigateur en mode invisible (recommandé)",
"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"
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}
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"stats": {
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"properties": {
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"type": "integer",
"example": 2000
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"restartCount": {
"type": "integer",
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"type": "integer",
"example": 0
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"computeUnits": {
"type": "integer",
"example": 0
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"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
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}
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"buildId": {
"type": "string"
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"defaultKeyValueStoreId": {
"type": "string"
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"defaultDatasetId": {
"type": "string"
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"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
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"type": "integer",
"example": 0
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"type": "integer",
"example": 0
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"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
},
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"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
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"REQUEST_QUEUE_READS": {
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"REQUEST_QUEUE_WRITES": {
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"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",
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}

Google Maps 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 Scraper from the options below:

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: