# Google Maps Reviews Scraper | Fast & Low Cost Export (`scrapecraft/google-maps-reviews-scraper-fast-low-cost-export`) Actor ⚡ Extract Google Maps reviews flawlessly at ultra-low costs ($0.05/1k results). Features automated website matching, asset blocking to cut compute bills, and dataset resume support. Scrape full review text, Local Guide metrics, translations, images, and owner replies instantly. - **URL**: https://apify.com/scrapecraft/google-maps-reviews-scraper-fast-low-cost-export.md - **Developed by:** [ScrapeCraft](https://apify.com/scrapecraft) (community) - **Categories:** Developer tools, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 80.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.05 / 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 Scrape all reviews from any Google Maps listing — one dataset row per review, with reviewer details, star ratings, photos, and owner replies. --- ### ✅ What You Get | Data | Details | |------|---------| | 👤 Reviewer | Name, profile URL, photo, review count, Local Guide status | | ✍️ Review | Full text, translated text, star rating, likes | | 📅 Date | Relative date ("a month ago") + parsed timestamp | | 📸 Photos | Image URLs attached to the review | | 💬 Owner Reply | Response text and date when present | | 🌐 Language | Original and translated language codes | > **Place details** (name, address, phone) are saved separately in the Key-Value Store under `OUTPUT_METADATA` — not repeated on every row. --- ### 🚀 Quick Start You need **at least one** of these: - A business name (search query) - A Google Maps URL - A Google Maps CID - A Google Place ID --- ### ⚙️ Input Options #### 🔍 Option 1 — Search by Business Name *(most common)* ```json { "searchQuery": "NETSOL Technologies Ltd.", "website": "https://www.netsoltech.com/", "maxReviews": 0, "language": "en", "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` > 💡 `maxReviews: 0` means **scrape all reviews**. Add `website` to make sure the right listing is matched. *** #### 🔗 Option 2 — Google Maps URL ```json { "url": "https://www.google.com/maps/place/NETSOL+Technologies/@31.5204,74.3587,17z", "maxReviews": 100 } ``` *** #### 🆔 Option 3 — CID or Place ID ```json { "cid": "15430805186958748717", "maxReviews": 50, "language": "en" } ``` > ⚠️ Always keep CIDs in quotes — they can exceed JavaScript's safe integer range. *** ### 🛠️ All Input Fields | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchQuery` | string | — | Business name to search on Google Maps | | `website` | string | — | Company website — helps match the correct listing | | `url` | string | — | Direct Google Maps place URL | | `placeId` | string | — | Google Place ID | | `cid` | string | — | Google Maps CID | | `maxReviews` | integer | `0` | Max reviews to collect (`0` = all) | | `language` | string | `en` | Review language code (e.g. `en`, `es`, `fr`, `de`) | | `maxReviewAge` | string | — | Filter by age, e.g. `6 months`, `1 year`, `3 years` | | `resumeDatasetId` | string | — | Resume a previous run — skips already-scraped reviews | | `blockAssets` | boolean | `true` | Block images/fonts to save bandwidth | | `proxyConfig` | object | — | Apify proxy config — residential proxies recommended | *** ### 📦 Output Example Each review is one row in the dataset: ```json { "name": "Daniyal Saqib", "stars": 4, "text": "Amazing ambience and hospitality. Truly a fine experience.", "publishedAtDate": "2026-04-21T15:35:49.034Z", "publishAt": "a month ago", "isLocalGuide": true, "reviewerNumberOfReviews": 143, "likesCount": 0, "responseFromOwnerText": null, "reviewImageUrls": ["https://lh3.googleusercontent.com/..."], "originalLanguage": "en", "scrapedAt": "2026-05-21T15:35:46.577Z" } ``` #### 📁 Place Summary (Key-Value Store) The place details are saved once under `OUTPUT_METADATA`: ```json { "place": { "name": "NETSOL Technologies Ltd.", "overallRating": 4.4, "totalReviews": 1410, "address": "...", "phone": "...", "website": "https://www.netsoltech.com/" }, "reviewsCount": 1408, "scrapedAt": "2026-05-21T15:35:46.577Z" } ``` *** ### ❓ FAQ **How do I scrape all reviews?** Set `maxReviews` to `0` (the default). **My search matched the wrong business — what do I do?** Add the `website` field. The actor uses it to verify the correct listing was found. **Can I continue a previous run?** Yes — paste the previous run's dataset ID into `resumeDatasetId` and already-scraped reviews will be skipped. **How do I filter by review age?** Set `maxReviewAge` (e.g. `6 months`) — works best combined with `sortMode: "newest"`. **Which proxy should I use?** Residential proxies are recommended for Apify Cloud runs to get complete, reliable results. *** # Actor input Schema ## `url` (type: `string`): Full URL of the Google Maps place. Optional if searchQuery, placeId, or cid is provided. ## `placeId` (type: `string`): Unique Google Place ID of the establishment. Navigates directly and avoids any text-search ambiguity. ## `cid` (type: `string`): Google Maps Customer ID (CID). Navigates directly to the place without search. Accepts a decimal CID string, a maps URL with ?cid= or ludocid=, cid:12345 / ludocid=12345 text, or a place URL containing a hex CID pair (0x...:0x...). Keep large CIDs as strings — do not convert to JSON numbers. ## `searchQuery` (type: `string`): Company name to search for on Google Maps. Used if URL is not provided. ## `website` (type: `string`): The company's website to match against the search results to guarantee accuracy. ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape. Set to 0 to scrape all available reviews. ## `proxyConfig` (type: `object`): Proxy settings. Residential proxies are strongly recommended for cloud runs — they allow Google to serve the full Maps page and fire the fast internal API, scraping all reviews in seconds. ## `blockAssets` (type: `boolean`): Block image/font/media requests to speed up scraping and reduce bandwidth. ## `resumeDatasetId` (type: `string`): (Optional) Dataset ID from a previous run to resume from, avoiding re-scraping existing reviews. ## `language` (type: `string`): Language code for the interface and reviews (e.g. 'en', 'es', 'fr', 'de'). Defaults to English ('en'). ## `maxReviewAge` (type: `string`): Filter reviews by age (e.g., '1 year', '6 months', '3 years'). Works best with 'Newest first' sort to stop scraping early. ## Actor input object example ```json { "url": "https://www.google.com/maps/place/Eiffel+Tower/@48.8583701,2.2922926,17z", "placeId": "ChIJZQi5xUUPyokRKnfZHK7gBnc", "cid": "15430805186958748717", "searchQuery": "Eiffel Tower", "website": "toureiffel.paris", "maxReviews": 0, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "blockAssets": true, "language": "es", "maxReviewAge": "1 year" } ``` # Actor output Schema ## `reviews` (type: `string`): Dataset items produced by the run. Each item represents a scraped Google Maps review with place metadata. # 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("scrapecraft/google-maps-reviews-scraper-fast-low-cost-export").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("scrapecraft/google-maps-reviews-scraper-fast-low-cost-export").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 scrapecraft/google-maps-reviews-scraper-fast-low-cost-export --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapecraft/google-maps-reviews-scraper-fast-low-cost-export", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Reviews Scraper | Fast & Low Cost Export", "description": "⚡ Extract Google Maps reviews flawlessly at ultra-low costs ($0.05/1k results). Features automated website matching, asset blocking to cut compute bills, and dataset resume support. Scrape full review text, Local Guide metrics, translations, images, and owner replies instantly.", "version": "0.0", "x-build-id": "QTXQBG20t1zkzy2mj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapecraft~google-maps-reviews-scraper-fast-low-cost-export/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapecraft-google-maps-reviews-scraper-fast-low-cost-export", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrapecraft~google-maps-reviews-scraper-fast-low-cost-export/runs": { "post": { "operationId": "runs-sync-scrapecraft-google-maps-reviews-scraper-fast-low-cost-export", "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/scrapecraft~google-maps-reviews-scraper-fast-low-cost-export/run-sync": { "post": { "operationId": "run-sync-scrapecraft-google-maps-reviews-scraper-fast-low-cost-export", "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": { "url": { "title": "Google Maps Place URL", "pattern": "https?://.*google\\.com/maps/.*", "type": "string", "description": "Full URL of the Google Maps place. Optional if searchQuery, placeId, or cid is provided." }, "placeId": { "title": "Google Place ID (Optional)", "type": "string", "description": "Unique Google Place ID of the establishment. Navigates directly and avoids any text-search ambiguity." }, "cid": { "title": "Google Maps CID (Optional)", "type": "string", "description": "Google Maps Customer ID (CID). Navigates directly to the place without search. Accepts a decimal CID string, a maps URL with ?cid= or ludocid=, cid:12345 / ludocid=12345 text, or a place URL containing a hex CID pair (0x...:0x...). Keep large CIDs as strings — do not convert to JSON numbers." }, "searchQuery": { "title": "Search Query (Company Name)", "type": "string", "description": "Company name to search for on Google Maps. Used if URL is not provided.", "default": "Shopify NY" }, "website": { "title": "Company Website (Optional)", "type": "string", "description": "The company's website to match against the search results to guarantee accuracy.", "default": "https://shopifyspaces.com/" }, "maxReviews": { "title": "Max Reviews", "minimum": 0, "maximum": 50000000, "type": "integer", "description": "Maximum number of reviews to scrape. Set to 0 to scrape all available reviews.", "default": 0 }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies are strongly recommended for cloud runs — they allow Google to serve the full Maps page and fire the fast internal API, scraping all reviews in seconds.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "blockAssets": { "title": "Block Images / Fonts", "type": "boolean", "description": "Block image/font/media requests to speed up scraping and reduce bandwidth.", "default": true }, "resumeDatasetId": { "title": "Resume from Dataset ID", "type": "string", "description": "(Optional) Dataset ID from a previous run to resume from, avoiding re-scraping existing reviews." }, "language": { "title": "Review Language (Optional)", "type": "string", "description": "Language code for the interface and reviews (e.g. 'en', 'es', 'fr', 'de'). Defaults to English ('en').", "default": "en" }, "maxReviewAge": { "title": "Max Review Age (Optional)", "type": "string", "description": "Filter reviews by age (e.g., '1 year', '6 months', '3 years'). Works best with 'Newest first' sort to stop scraping early." } } }, "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 } } } } } } } } } } ```