# Google Maps Reviews - Full Review Scraper (No Login) (`xtracto/gmaps-reviews`) Actor Scrape reviews from any Google Maps place by URL, share link, feature id, or place id: author, rating, text, dates, likes, visit info, and photos. Sort and set max reviews (0 = all). Multi-country, multi-language, no login. - **URL**: https://apify.com/xtracto/gmaps-reviews.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** Lead generation, Integrations, Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.03 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Pull reviews from any Google Maps place — author, rating, text, dates, likes, visit info, and attached photos. No login, no API key, no quota. ### What you get A place header (name, rating, total review count, feature id, place id, address) plus a list of reviews. Each review has: author name + id + profile URL + photo, Local Guide status/level, reviewer's lifetime review & photo counts, rating (1–5), review text, relative time ("2 minggu lalu") + exact post/edit dates, "helpful" like count, and photos uploaded with the review. When the reviewer filled Google's structured questions you also get `visit_time`, `queue_time`, and `reservation_recommended`. ### Input `input` accepts **any** of these — the actor figures out which: | Kind | Example | |---|---| | Place URL | `https://www.google.com/maps/place/Candi+Jago/@-8.0,112.7,17z` | | Share link | `https://maps.app.goo.gl/HMNsrV1dWv4ktBXb7` | | Feature id (item_id from Search Places) | `0x2dd6256faaaaaaab:0xceeaf66957bc2c45` | | Place id | `ChIJq6qqqm8l1i0RRSy8V2n26s4` | ```json { "input": "https://maps.app.goo.gl/HMNsrV1dWv4ktBXb7", "sort": "newest", "max_reviews": 0, "language": "id", "country": "id" } ```` - **`max_reviews`** — cap the number of reviews. **`0` = scrape every review** until the feed ends. (Google limits how deep the feed can be scrolled — empirically a few thousand reviews per place, even for places with far more.) - **`sort`** — `relevant`, `newest`, `highest_rating`, `lowest_rating`. - **`language` / `country`** — locale of the result text and ranking. ### Sample output One record per run: the place header + a `reviews` array. ```json { "name": "Candi Jago", "rating": 4.6, "review_count": 1103, "feature_id": "0x2dd6256faaaaaaab:0xceeaf66957bc2c45", "place_id": "ChIJq6qqqm8l1i0RRSy8V2n26s4", "address": "Jl. Wisnuwardhana, Ronggowuni, Tumpang, Kec. Tumpang, Kabupaten Malang, Jawa Timur 65156", "reviews_count": 200, "reviews": [ { "review_id": "ChdDSUhNMG9nS0VJQ0FnSUNoajdfcnNBRRAB", "review_url": "https://www.google.com/maps/reviews/data=...", "author_name": "Azriel Hudansyah Putra", "author_id": "105766617628534823200", "author_profile_url": "https://www.google.com/maps/contrib/105766617628534823200/reviews?hl=id", "author_photo_url": "https://lh3.googleusercontent.com/a-/...", "author_byline": "Local Guide · 154 ulasan", "reviewer_review_count": 154, "reviewer_photo_count": 2693, "is_local_guide": true, "local_guide_level": 7, "rating": 5, "text": "Candi Jago adalah Pendharmaan dari seorang raja Singhasari ...", "relative_time": "3 tahun lalu", "post_date": "2023-02-25T04:37:52Z", "edited_date": "2023-02-25T04:39:28Z", "like_count": 1, "photo_count": 40, "photos": ["https://lh3.googleusercontent.com/grass-cs/...", "..."], "visit_time": "Akhir pekan", "queue_time": "Tanpa mengantre", "reservation_recommended": "Tidak" } ] } ``` `visit_time`, `queue_time`, `reservation_recommended` appear only when the reviewer answered those questions. ### How to get the input - **From your browser** — open the place on Google Maps and copy the URL, or use the **Share** button for a `maps.app.goo.gl` link. - **From Search Places** — run **[Google Maps Search Places](https://apify.com/xtracto/gmaps-search-places)** and pass any result's `item_id` (the `0x...:0x...` feature id) straight in. - **From Suggestion** — run **[Google Maps Suggestion](https://apify.com/xtracto/gmaps-suggestion)** and use its `item_id`. ### Use cases - **Brand listening** — track every new review across all your locations. - **Sentiment analysis** — feed `text` into an LLM for topic / sentiment scoring. - **Competitor benchmarking** — compare volume, average rating, Local-Guide mix. - **Reputation management** — sort `lowest_rating` to triage negative feedback. - **Local SEO research** — mine real customer phrases and visit patterns. ### Pair with other actors - **[Google Maps Place Detail](https://apify.com/xtracto/gmaps-detail-places)** — full place info (hours, category, phone, website). - **[Google Maps Search Places](https://apify.com/xtracto/gmaps-search-places)** — discover places to scrape reviews for, in bulk (feeds `item_id` here). - **[Google Maps Contributor Profile](https://apify.com/xtracto/gmaps-contributor-profile)** — drill into a reviewer via their `author_profile_url`. # Actor input Schema ## `input` (type: `string`): Any of: a Google Maps place URL, a share link (maps.app.goo.gl/...), a feature id like 0x...:0x... (the item\_id returned by the Search Places actor), or a place id (ChIJ...). ## `sort` (type: `string`): Review sort order: relevant, newest, highest\_rating, or lowest\_rating. ## `max_reviews` (type: `integer`): Maximum number of reviews to collect. Set 0 to scrape every review until the feed ends. Note: Google limits how deep the review feed can be scrolled (empirically a few thousand per place). ## `language` (type: `string`): Language for result text (names, addresses, descriptions). ## `country` (type: `string`): Geographic bias for Google results. Picks how Google ranks places and what currency/units it shows. ## Actor input object example ```json { "input": "https://maps.app.goo.gl/HMNsrV1dWv4ktBXb7", "sort": "newest", "max_reviews": 0, "language": "en", "country": "us" } ``` # 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 = { "input": "https://maps.app.goo.gl/HMNsrV1dWv4ktBXb7" }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/gmaps-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 = { "input": "https://maps.app.goo.gl/HMNsrV1dWv4ktBXb7" } # Run the Actor and wait for it to finish run = client.actor("xtracto/gmaps-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 '{ "input": "https://maps.app.goo.gl/HMNsrV1dWv4ktBXb7" }' | apify call xtracto/gmaps-reviews --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/gmaps-reviews", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Reviews - Full Review Scraper (No Login)", "description": "Scrape reviews from any Google Maps place by URL, share link, feature id, or place id: author, rating, text, dates, likes, visit info, and photos. Sort and set max reviews (0 = all). Multi-country, multi-language, no login.", "version": "3.0", "x-build-id": "kcWVuJLfPZiP9fZIr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~gmaps-reviews/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-gmaps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~gmaps-reviews/runs": { "post": { "operationId": "runs-sync-xtracto-gmaps-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~gmaps-reviews/run-sync": { "post": { "operationId": "run-sync-xtracto-gmaps-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "input" ], "properties": { "input": { "title": "Place URL, share link, feature id, or place id", "type": "string", "description": "Any of: a Google Maps place URL, a share link (maps.app.goo.gl/...), a feature id like 0x...:0x... (the item_id returned by the Search Places actor), or a place id (ChIJ...)." }, "sort": { "title": "Sort order", "enum": [ "relevant", "newest", "highest_rating", "lowest_rating" ], "type": "string", "description": "Review sort order: relevant, newest, highest_rating, or lowest_rating.", "default": "newest" }, "max_reviews": { "title": "Max reviews (0 = all)", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to collect. Set 0 to scrape every review until the feed ends. Note: Google limits how deep the review feed can be scrolled (empirically a few thousand per place).", "default": 0 }, "language": { "title": "Language (hl)", "enum": [ "en", "en-GB", "es", "fr", "de", "it", "pt", "pt-BR", "nl", "pl", "ru", "uk", "ro", "cs", "hu", "el", "sv", "no", "da", "fi", "tr", "ja", "ko", "zh-CN", "zh-TW", "id", "ms", "th", "vi", "hi", "bn", "ta", "ur", "fa", "ar", "he" ], "type": "string", "description": "Language for result text (names, addresses, descriptions).", "default": "en" }, "country": { "title": "Country (gl)", "enum": [ "us", "gb", "ca", "au", "nz", "ie", "de", "fr", "es", "it", "nl", "be", "ch", "at", "pt", "pl", "se", "no", "dk", "fi", "gr", "cz", "hu", "ro", "ua", "ru", "tr", "jp", "kr", "cn", "tw", "hk", "sg", "id", "my", "ph", "th", "vn", "in", "pk", "bd", "lk", "ae", "sa", "qa", "kw", "il", "eg", "za", "ng", "ke", "ma", "mx", "br", "ar", "cl", "co", "pe", "ve", "uy" ], "type": "string", "description": "Geographic bias for Google results. Picks how Google ranks places and what currency/units it shows.", "default": "us" } } }, "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 } } } } } } } } } } ```