# Google Maps Reviews (`stable_crawl/google-maps-reviews`) Actor Scrap Google maps reviews with the place detail information. - **URL**: https://apify.com/stable\_crawl/google-maps-reviews.md - **Developed by:** [Jin Bae](https://apify.com/stable_crawl) (community) - **Categories:** Social media, AI, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.40 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Google Maps Reviews Scraper Extract place details, ratings, and customer reviews from any Google Maps location. Export clean, flat data to CSV, JSON, or Excel. - Scrape **place details**: name, rating, address, coordinates, contact info, categories, and more - Collect **customer reviews**: text, rating, reviewer profile, photos, business responses - Bulk scrape via **URLs, Place IDs, CIDs, or CID strings** - **CSV-friendly flat output** by default, no nested objects ### How it works 1. **Add places** - Paste Google Maps URLs, enter Place IDs, CIDs, or CID strings 2. **Configure** - Choose scrape mode, review sorting, and filters 3. **Run** - Get structured data in your preferred format ### Input #### Places to scrape Provide places using any combination of these methods: | Field | Description | |-------|-------------| | **Google Maps URLs** | Paste one or more place URLs from your browser | | **Place IDs** | Enter Google Maps Place IDs (e.g., `ChIJLwiGVMKifDURzGJnUMCMSx8`) | | **CIDs** | Enter Google Maps decimal CIDs (e.g., `16813526255109441016`) | | **CID strings** | Enter Google Maps `cid_str` values (e.g., `0x357ca2eb421c44ad:0xe955a50c118085f8`) | #### Options | Field | Default | Description | |-------|---------|-------------| | **Scrape mode** | `Place + Reviews` | What to collect: place details only, reviews only, or both | | **Review sort order** | `Newest first` | How to sort reviews: newest, most relevant, highest/lowest rating | | **Max reviews per place** | *(all)* | Limit the number of reviews per place | | **Reviews since date** | *(none)* | Only collect reviews after this date (requires sort = Newest) | | **Language** | `English` | Language for place details and review translations | | **Output format** | `Flat` | Flat (CSV-friendly) or Nested (JSON objects) | #### Example input ```json { "scrapeMode": "all", "places": { "startUrls": [ { "url": "https://www.google.com/maps/place/Gwanghwamun+Square/@37.5723718,126.9767087,17z/" } ], "cids": ["16813526255109441016"] }, "sort": "newest", "maxReviews": 100, "language": "en" } ```` ### Output #### Flat format (default) Each row is a self-contained record with all fields at the top level. Place fields use a `place_` prefix. This format exports cleanly to CSV and Excel. ```json { "place_name": "Gwanghwamun Square", "place_rating": 4.6, "place_review_count": 12847, "place_address": "161 Sejong-daero, Jongno-gu, Seoul, South Korea", "place_lat": 37.5723718, "place_lng": 126.9767087, "place_cid": 16808063476328097272, "place_cid_str": "0xe955a50c118085f8", "place_place_id": "ChIJrUQcQutYezURGICADEylVek", "place_category": "Plaza", "place_categories": "Plaza | Tourist attraction", "place_website": "https://www.seoul.go.kr/", "place_phone": "+82-2-120", "review_id": "ChdDSUhNMG9nS0VJQ0...", "rating": 5, "text": "Beautiful open space in the heart of Seoul...", "published_at": "2025-03-15T09:30:00Z", "reviewer_name": "John D.", "reviewer_is_local_guide": true, "scraped_at": "2025-04-06T12:00:00Z" } ``` #### Nested format When output format is set to `Nested (JSON)`, data is grouped under `place` and `review` objects: ```json { "input": { "url": "https://...", "language": "en" }, "place": { "name": "Gwanghwamun Square", "rating": 4.6, "review_count": 12847, "address": "161 Sejong-daero, Jongno-gu, Seoul, South Korea", "lat": 37.5723718, "lng": 126.9767087 }, "review": { "review_id": "ChdDSUhNMG9nS0VJQ0...", "rating": 5, "text": "Beautiful open space...", "reviewer": { "name": "John D.", "is_local_guide": true } }, "hasReviews": true, "scrapedAt": "2025-04-06T12:00:00Z" } ``` #### Place fields | Field | Type | Description | |-------|------|-------------| | `place_name` | string | Place name | | `place_lat` / `place_lng` | float | Coordinates | | `place_cid` | integer | Google CID (integer) | | `place_cid_str` | string | CID in 0x hex format | | `place_place_id` | string | Google Place ID | | `place_rating` | float | Average rating | | `place_review_count` | integer | Total review count | | `place_category` | string | Primary category | | `place_categories` | string | All categories (pipe-separated in flat mode) | | `place_address` | string | Full address | | `place_street` | string | Street address | | `place_city` | string | City | | `place_state` | string | State/Province | | `place_postal_code` | string | Postal code | | `place_country_code` | string | Country code | | `place_website` | string | Website URL | | `place_phone` | string | Phone number | | `place_timezone` | string | Timezone | | `place_thumbnail` | string | Thumbnail image URL | | `place_business_status` | string | Business status | #### Review fields | Field | Type | Description | |-------|------|-------------| | `review_id` | string | Review unique ID | | `rating` | float | Review rating | | `text` | string | Review text (original) | | `text_translated` | string | Translated review text | | `published_at` | string | Publication date (ISO 8601) | | `modified_at` | string | Last modified date | | `time_display` | string | Relative time (e.g., "3 months ago") | | `language_code` | string | Original language code | | `likes` | integer | Number of likes | | `review_url` | string | Direct review URL | | `reviewer_name` | string | Reviewer name | | `reviewer_profile_url` | string | Reviewer profile URL | | `reviewer_total_reviews` | integer | Reviewer's total reviews | | `reviewer_is_local_guide` | boolean | Local Guide status | | `platform_name` | string | Review platform name | | `media` | string | Attached media (JSON array in flat mode) | | `business_response_text` | string | Business owner's response | ### Tips #### How to find a Google Maps URL 1. Open [Google Maps](https://maps.google.com) 2. Search for a place and click on it 3. Copy the URL from your browser's address bar #### How to find a Place ID Look for the `1s` parameter in a Google Maps URL: ``` https://www.google.com/maps/place/...data=...!1sChIJLwiGVMKifDURzGJnUMCMSx8... ``` The value after `!1s` is the Place ID: `ChIJLwiGVMKifDURzGJnUMCMSx8` #### How to find a CID or cid\_str Look for these values in a Google Maps URL or in a previously scraped dataset row: - `cid`: decimal identifier such as `16813526255109441016` - `cid_str`: hex pair such as `0x357ca2eb421c44ad:0xe955a50c118085f8` #### Reviews since date The "Reviews since date" filter only works when review sort order is set to **Newest first**. This is because the scraper stops paginating when it reaches reviews older than the specified date, which only works correctly in chronological order. ### Actor address `stable_crawl/google-maps-reviews` ### Local development ```bash apify run --input-file test-input.json ``` Results are saved to `storage/`. Deploy to the Apify platform for cloud runs and dataset export. # Actor input Schema ## `scrapeMode` (type: `string`): Choose what data to collect from each place. ## `places` (type: `object`): Provide places via URLs, Place IDs, decimal CIDs, or CID strings. You can combine these methods. ## `sort` (type: `string`): How to sort the reviews before collecting them. ## `maxReviews` (type: `integer`): Maximum number of reviews to collect per place. Leave empty to collect all available reviews. ## `reviewsSince` (type: `string`): Only collect reviews published on or after this date. This filter only works when review sort order is set to 'Newest first'. ## `language` (type: `string`): Language for place details and review translations. For unlisted languages, use the JSON input editor to enter any BCP-47 code (e.g., 'th', 'vi', 'pl'). ## `outputFormat` (type: `string`): Flat format puts all fields at the top level, ideal for CSV and Excel export. Nested format groups fields under 'place' and 'review' objects, better for JSON processing. ## Actor input object example ```json { "scrapeMode": "all", "places": {}, "sort": "newest", "language": "en", "outputFormat": "flat" } ``` # Actor output Schema ## `results` (type: `string`): Dataset items produced by the run. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("stable_crawl/google-maps-reviews").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("stable_crawl/google-maps-reviews").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call stable_crawl/google-maps-reviews --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stable_crawl/google-maps-reviews", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Reviews", "description": "Scrap Google maps reviews with the place detail information.", "version": "0.5", "x-build-id": "kyzNFmt1lAQ0vMiHh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stable_crawl~google-maps-reviews/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stable_crawl-google-maps-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stable_crawl~google-maps-reviews/runs": { "post": { "operationId": "runs-sync-stable_crawl-google-maps-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stable_crawl~google-maps-reviews/run-sync": { "post": { "operationId": "run-sync-stable_crawl-google-maps-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "scrapeMode": { "title": "Scrape mode", "enum": [ "place", "reviews", "all" ], "type": "string", "description": "Choose what data to collect from each place.", "default": "all" }, "places": { "title": "Places to scrape", "type": "object", "description": "Provide places via URLs, Place IDs, decimal CIDs, or CID strings. You can combine these methods.", "properties": { "startUrls": { "title": "Google Maps URLs", "type": "array", "description": "Add one or more Google Maps place URLs. You can paste URLs directly from your browser's address bar.", "editor": "requestListSources", "prefill": [ { "url": "https://www.google.com/maps/place/Gwanghwamun+Square/@37.5723718,126.9767087,17z/data=!4m6!3m5!1s0x357ca2eb421c44ad:0xe955a50c118085f8!8m2!3d37.5723718!4d126.9767087!16s%2Fg%2F11bwg77qn1" } ] }, "placeIds": { "title": "Place IDs", "type": "array", "description": "Add Google Maps Place IDs, one per line. Example: ChIJLwiGVMKifDURzGJnUMCMSx8. You can find a place's ID in its Google Maps URL after the '1s' parameter.", "editor": "stringList", "items": { "type": "string" } }, "cids": { "title": "CIDs", "type": "array", "description": "Add Google Maps decimal CIDs, one per line. Example: 16813526255109441016.", "editor": "stringList", "items": { "type": "string" } }, "cidStrs": { "title": "CID strings (cid_str)", "type": "array", "description": "Add Google Maps cid_str values, one per line. Example: 0x357ca2eb421c44ad:0xe955a50c118085f8.", "editor": "stringList", "items": { "type": "string" } } }, "default": {} }, "sort": { "title": "Review sort order", "enum": [ "relevant", "newest", "highest_rating", "lowest_rating" ], "type": "string", "description": "How to sort the reviews before collecting them.", "default": "newest" }, "maxReviews": { "title": "Max reviews per place", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to collect per place. Leave empty to collect all available reviews." }, "reviewsSince": { "title": "Reviews since date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$", "type": "string", "description": "Only collect reviews published on or after this date. This filter only works when review sort order is set to 'Newest first'." }, "language": { "title": "Language", "enum": [ "en", "ko", "ja", "zh-CN", "zh-TW", "es", "fr", "de", "pt", "it", "ru", "ar", "hi", "tr", "nl" ], "type": "string", "description": "Language for place details and review translations. For unlisted languages, use the JSON input editor to enter any BCP-47 code (e.g., 'th', 'vi', 'pl').", "default": "en" }, "outputFormat": { "title": "Output format", "enum": [ "flat", "nested" ], "type": "string", "description": "Flat format puts all fields at the top level, ideal for CSV and Excel export. Nested format groups fields under 'place' and 'review' objects, better for JSON processing.", "default": "flat" } } }, "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 } } } } } } } } } } ```