# Google Maps Contributor Reviews | Reviewer History API (`johnvc/google-maps-contributor-reviews-api`) Actor \--> Pull a Google Maps contributor's review history as structured JSON: every review with rating, text, date, photos, and the place reviewed, plus the reviewer's level, points, and local-guide status. For reputation research, reviewer vetting, and review-fraud detection. Pay per review, MCP-ready. - **URL**: https://apify.com/johnvc/google-maps-contributor-reviews-api.md - **Developed by:** [John](https://apify.com/johnvc) (community) - **Categories:** Lead generation, Developer tools, MCP servers - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 Contributor Reviews | Reviewer History API Pull a Google Maps contributor's entire review history as clean structured JSON. Give the API a contributor ID and get back every review that reviewer has left, each with the rating, text, date, likes, photos, and the place reviewed, plus the reviewer's own profile: their Local Guide level, points, and total contributions. It turns a single reviewer into structured data for reputation research, reviewer vetting, and review-fraud detection. ### What you get One row per review, each carrying the reviewer's profile: - Reviewer: `contributor_name`, `contributor_level`, `contributor_local_guide`, `contributor_points`, `contributor_contributions` - Review: `rating`, `snippet` (text), `date`, `likes`, `review_id`, `link` - Place reviewed: `place_info` (title, address, type, coordinates, thumbnail) - Extras: `images`, structured `details`, and the owner `response` when present ### Use cases - Verify a reviewer is real before trusting their reviews (reputation research) - Vet an expert witness or a public figure by their full review trail - Detect coordinated review campaigns by profiling suspect mass reviewers - Audit whether a reviewer only ever reviews one chain or competitor - Feed an AI agent a reviewer's history to summarize patterns and red flags ### Input | Field | Type | Description | |-------|------|-------------| | `contributorId` | string | A single Google Maps contributor ID (the long numeric ID from a reviewer's profile). Provide this, `contributorIds`, or both. | | `contributorIds` | array of strings | A batch of contributor IDs to fetch in one run. Merged with `contributorId` and de-duplicated. | | `hl` | string | Optional two-letter language code. Default `en`. | | `maxResultsPerContributor` | integer | Reviews per contributor. Default 10, maximum 50. | You can read a contributor ID from any place review's reviewer. #### Example input ```json { "contributorId": "107022004965696773221", "maxResultsPerContributor": 10 } ```` ### Sample output ```json { "result_type": "review", "contributor_id": "107022004965696773221", "position": 1, "contributor_name": "Matt Moeini", "contributor_level": 5, "contributor_local_guide": true, "contributor_points": 952, "contributor_contributions": { "reviews": 32, "ratings": 1, "photos": 120 }, "review_id": "Ch...", "rating": 5, "snippet": "Great little spot, the service was excellent ...", "date": "2 months ago", "likes": 3, "place_info": { "title": "Le Petit Marcel", "address": "2914 N Broadway, Chicago, IL 60657", "type": "Restaurant", "gps_coordinates": { "latitude": 41.9354, "longitude": -87.6443 } }, "link": "https://www.google.com/maps/..." } ``` ### Pricing Pay-per-result: a small `actor_start` fee plus a per-review charge. The per-review price scales down with your Apify plan. | Plan | Per review | Start fee | |---|---|---| | Free | $0.0015 | $0.001 | | Bronze | $0.00125 | $0.001 | You only pay for the reviews you receive. The endpoint returns about ten of a contributor's most recent reviews per run. ### How to get started 1. Open [Google Maps Contributor Reviews on the Apify Store](https://apify.com/johnvc/google-maps-contributor-reviews-api?fpr=9n7kx3). 2. Enter a `contributorId` (or a `contributorIds` list). 3. Run the Actor and read the reviewer's history from the dataset. 4. Export as JSON, CSV, or Excel, or pull it from the API. Prefer code? See [johnvc's GitHub for setup guides and code examples](https://github.com/johnisanerd/ApifyPublicData). ### Run from the API ```bash curl -X POST "https://api.apify.com/v2/acts/johnvc~google-maps-contributor-reviews-api/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"contributorId":"107022004965696773221"}' ``` ### 🔌 Use this API from Claude (MCP) This Actor is compatible with the Model Context Protocol (MCP), so AI agents can call it as a tool. Add it through the hosted Apify MCP server using this Actor-specific URL: https://mcp.apify.com/?tools=actors,docs,johnvc/google-maps-contributor-reviews-api If you run agents from [Claude Code](https://claude.ai/referral/uIlpa7nPLg) (free trial) or [Claude Cowork](https://claude.ai/referral/uIlpa7nPLg) (free trial), add the Apify MCP server and ask it to "pull this reviewer's history and flag anything that looks coordinated." Setup walkthrough: https://www.youtube.com/watch?v=jREWahDGhJM Apify MCP integration docs: https://docs.apify.com/platform/integrations/mcp #### MCP setup, step by step Visual setup guides for each client (source and more assets: [ApifyPublicData on GitHub](https://github.com/johnisanerd/ApifyPublicData)): **[Claude Cowork Desktop](https://claude.ai/referral/uIlpa7nPLg)** (free trial) ![Apify MCP install screenshot for the Cowork desktop app](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_desktop.png) **[Claude Code](https://claude.ai/referral/uIlpa7nPLg)** (free trial) ![Apify MCP install screenshot for the Code CLI](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_code.png) **Claude (website)** ![Install in Claude website](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_ai.png) **Cursor** ![Install in Cursor](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_cursor.png) **ChatGPT** ![Install in ChatGPT](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_ChatGPT.png) ### FAQ **What is a contributor ID?** It is the long numeric ID that identifies a Google Maps reviewer. You can read it from any place review's reviewer profile, then pass it here to get that reviewer's full history. **How many reviews come back?** About ten of the contributor's most recent reviews per run. Use `contributorIds` to profile several reviewers in one go. **Why is this useful for fraud detection?** The reviewer's profile (level, points, contributions) plus their review pattern across places makes it easy to spot mass reviewers, single-target campaigns, and fake-looking accounts. **Can I profile many reviewers at once?** Yes. Pass a `contributorIds` list; each is fetched independently and tagged with its contributor ID. ### Featured Tasks Ready-to-run examples that show this API solving a specific problem. Each opens its own setup so you can run it on your account in one click. - [Get a Google Maps Reviewer's Full Review History](https://apify.com/johnvc/google-maps-contributor-reviews-api/examples/get-a-google-maps-reviewer-s-full-review-history?fpr=9n7kx3) - [Audit a Google Maps Local Guide's Reviews](https://apify.com/johnvc/google-maps-contributor-reviews-api/examples/audit-a-google-maps-local-guide-s-reviews?fpr=9n7kx3) - [Export a Google Reviewer's Reviews as JSON](https://apify.com/johnvc/google-maps-contributor-reviews-api/examples/export-a-google-reviewer-s-reviews-as-json?fpr=9n7kx3) - [Vet a Google Reviewer: Spot Fake-Review Signals](https://apify.com/johnvc/google-maps-contributor-reviews-api/examples/vet-a-google-reviewer-spot-fake-review-signals?fpr=9n7kx3) Last Updated: 2026.06.14 # Actor input Schema ## `contributorId` (type: `string`): Enter a single Google Maps contributor ID (the long numeric ID from a reviewer's profile, e.g. '107022004965696773221'). Provide this, `contributorIds`, or both. You can read a contributor ID from any place review's reviewer. ## `contributorIds` (type: `array`): Provide a list of Google Maps contributor IDs to fetch in one run. Merged with `contributorId` and de-duplicated. ## `hl` (type: `string`): Set the two-letter interface language code (e.g. 'en', 'es', 'de'). Defaults to 'en'. ## `maxResultsPerContributor` (type: `integer`): How many reviews to return per contributor. The endpoint returns about 10 of a contributor's most recent reviews per call. Default 10, maximum 50. ## Actor input object example ```json { "contributorId": "107022004965696773221", "hl": "en", "maxResultsPerContributor": 10 } ``` # Actor output Schema ## `results` (type: `string`): All review rows stored in the default dataset, one item per review. # 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 = { "contributorId": "107022004965696773221" }; // Run the Actor and wait for it to finish const run = await client.actor("johnvc/google-maps-contributor-reviews-api").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 = { "contributorId": "107022004965696773221" } # Run the Actor and wait for it to finish run = client.actor("johnvc/google-maps-contributor-reviews-api").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 '{ "contributorId": "107022004965696773221" }' | apify call johnvc/google-maps-contributor-reviews-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=johnvc/google-maps-contributor-reviews-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Contributor Reviews | Reviewer History API", "description": "--> Pull a Google Maps contributor's review history as structured JSON: \nevery review with rating, text, date, photos, and the place reviewed, plus the reviewer's level, points, and local-guide status. For reputation research, reviewer vetting, and review-fraud detection. \nPay per review, MCP-ready.", "version": "0.0", "x-build-id": "f3OJeHrPkbPlhcjFi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/johnvc~google-maps-contributor-reviews-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-johnvc-google-maps-contributor-reviews-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/johnvc~google-maps-contributor-reviews-api/runs": { "post": { "operationId": "runs-sync-johnvc-google-maps-contributor-reviews-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/johnvc~google-maps-contributor-reviews-api/run-sync": { "post": { "operationId": "run-sync-johnvc-google-maps-contributor-reviews-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "contributorId": { "title": "Contributor ID", "type": "string", "description": "Enter a single Google Maps contributor ID (the long numeric ID from a reviewer's profile, e.g. '107022004965696773221'). Provide this, `contributorIds`, or both. You can read a contributor ID from any place review's reviewer." }, "contributorIds": { "title": "Contributor IDs", "type": "array", "description": "Provide a list of Google Maps contributor IDs to fetch in one run. Merged with `contributorId` and de-duplicated.", "items": { "type": "string" } }, "hl": { "title": "Language Code", "type": "string", "description": "Set the two-letter interface language code (e.g. 'en', 'es', 'de'). Defaults to 'en'.", "default": "en" }, "maxResultsPerContributor": { "title": "Maximum Reviews Per Contributor", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many reviews to return per contributor. The endpoint returns about 10 of a contributor's most recent reviews per call. Default 10, maximum 50.", "default": 10 } } }, "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 } } } } } } } } } } ```