# Google Workspace Marketplace Reviews Scraper (`crawlerbros/google-workspace-marketplace-reviews-scraper`) Actor Scrape user reviews for any Google Workspace Marketplace app by App ID. Extracts reviewer name, rating, review text, date, helpful count, and more - **URL**: https://apify.com/crawlerbros/google-workspace-marketplace-reviews-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 7 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 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.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 Workspace Marketplace Reviews Scraper Scrape user reviews for any app on the [Google Workspace Marketplace](https://workspace.google.com/marketplace) — no API key, no login, no proxy required. Provide a numeric App ID and get back reviewer names, star ratings, review text, dates, and helpful counts. Filter by minimum rating and sort by recency or helpfulness. --- ### What You Can Scrape | Field | Description | Example | |---|---|---| | `reviewId` | Unique review identifier | `06060438314121439815` | | `appId` | Numeric app identifier | `992310177365` | | `appName` | Name of the app | `Timer + AI Proctor Limiter for Forms` | | `appUrl` | Link to the app's Marketplace listing | `https://workspace.google.com/...` | | `reviewerName` | Name of the reviewer | `John Doe` | | `rating` | Star rating (1–5 integer) | `5` | | `reviewText` | Full review text | `Great tool for online exams!` | | `reviewDate` | Date the review was posted | `2026-04-21` | | `helpfulCount` | Number of helpful votes | `3` | | `scrapedAt` | ISO timestamp of when the record was scraped | `2026-05-20T10:00:00+00:00` | --- ### Input Options | Field | Type | Required | Default | Description | |---|---|---|---|---| | `appId` | string | Yes | `539341275670` | Numeric App ID from the Marketplace URL | | `maxItems` | integer | No | `100` | Maximum reviews to collect (1–500) | | `minRating` | integer | No | — | Only return reviews at this star rating or above (1–5) | | `sortBy` | select | No | `MostRelevant` | Sort order for reviews | #### sortBy Options | Value | Description | |---|---| | `MostRelevant` | Google's default ranking | | `Newest` | Most recently posted reviews first | | `HighestRated` | 5-star reviews first | | `LowestRated` | 1-star reviews first | #### How to Find the App ID The App ID is the numeric portion at the end of a Marketplace app URL: ```` https://workspace.google.com/marketplace/app/autocrat/539341275670 ^^^^^^^^^^^^^ This is the App ID ```` --- ### Example Output ```json { "reviewId": "06060438314121439815", "appId": "992310177365", "appName": "Timer + AI Proctor Limiter for Forms | Quilgo", "appUrl": "https://workspace.google.com/marketplace/app/timer_+_ai.../992310177365", "reviewerName": "SUDHANSHU VERMA", "rating": 5, "reviewText": "Good", "reviewDate": "2026-04-21", "helpfulCount": 1, "recordType": "workspace_review", "scrapedAt": "2026-05-20T10:00:00.000000+00:00" } ```` *** ### FAQ **Does this require a Google account?** No. Reviews on the Google Workspace Marketplace are publicly visible without any login. **How many reviews can I collect per run?** The Google Workspace Marketplace serves approximately 10 reviews per initial page load. The actor collects these reviews from the embedded page data. Set `maxItems` to control how many are returned (up to 500, though the actual yield depends on the app). **Can I filter by star rating?** Yes. Use `minRating` to only return reviews at or above a specific star count. For example, `minRating: 4` returns only 4-star and 5-star reviews. **What does `helpfulCount` represent?** The number of other users who marked the review as helpful. **Why might `reviewText` be short (e.g. just "Good")?** Many Workspace Marketplace reviewers leave very brief ratings. This is real data — the scraper faithfully captures what's on the page. **What is the `sortBy` field?** Controls the order reviews are returned. `Newest` gives you the most recent reviews, `HighestRated`/`LowestRated` let you target extreme ratings. `MostRelevant` uses Google's default ranking algorithm. **Can I get app metadata (name, rating, description)?** Use the companion actor **Google Workspace Marketplace Scraper** to get full app details. **Why might some fields be absent?** The actor uses an omit-empty policy: fields with no value (e.g. a review with 0 helpful votes) are omitted rather than set to null or zero. # Actor input Schema ## `appId` (type: `string`): Numeric App ID from Google Workspace Marketplace URL (e.g. 539341275670 for Autocrat). ## `maxItems` (type: `integer`): Maximum number of reviews to collect. ## `minRating` (type: `integer`): Only include reviews with this star rating or higher (1–5). Leave blank for all ratings. ## `sortBy` (type: `string`): Order in which to return reviews. ## Actor input object example ```json { "appId": "539341275670", "maxItems": 100, "sortBy": "MostRelevant" } ``` # Actor output Schema ## `reviews` (type: `string`): Dataset containing all scraped app reviews. # 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 = { "appId": "539341275670", "maxItems": 100, "sortBy": "MostRelevant" }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/google-workspace-marketplace-reviews-scraper").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 = { "appId": "539341275670", "maxItems": 100, "sortBy": "MostRelevant", } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/google-workspace-marketplace-reviews-scraper").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 '{ "appId": "539341275670", "maxItems": 100, "sortBy": "MostRelevant" }' | apify call crawlerbros/google-workspace-marketplace-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/google-workspace-marketplace-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Workspace Marketplace Reviews Scraper", "description": "Scrape user reviews for any Google Workspace Marketplace app by App ID. Extracts reviewer name, rating, review text, date, helpful count, and more", "version": "1.0", "x-build-id": "nbbHX1sfUV4gcH5Zq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~google-workspace-marketplace-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-google-workspace-marketplace-reviews-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~google-workspace-marketplace-reviews-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-google-workspace-marketplace-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~google-workspace-marketplace-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-google-workspace-marketplace-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appId" ], "properties": { "appId": { "title": "App ID", "type": "string", "description": "Numeric App ID from Google Workspace Marketplace URL (e.g. 539341275670 for Autocrat)." }, "maxItems": { "title": "Max reviews", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of reviews to collect.", "default": 100 }, "minRating": { "title": "Minimum star rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with this star rating or higher (1–5). Leave blank for all ratings." }, "sortBy": { "title": "Sort reviews by", "enum": [ "MostRelevant", "Newest", "HighestRated", "LowestRated" ], "type": "string", "description": "Order in which to return reviews.", "default": "MostRelevant" } } }, "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 } } } } } } } } } } ```