# Google Workspace Marketplace Scraper (`automation-lab/google-workspace-marketplace-scraper`) Actor Extract Google Workspace Marketplace app listings with ratings, installs, developers, categories, descriptions, screenshots, and links. - **URL**: https://apify.com/automation-lab/google-workspace-marketplace-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** Marketing, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.03 / 1,000 app listing saveds 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 Workspace Marketplace Scraper Extract public Google Workspace Marketplace app listings for SaaS sales, partnerships, app-store SEO, competitive research, and market intelligence workflows. ### What does Google Workspace Marketplace Scraper do? Google Workspace Marketplace Scraper collects public app listing data from . It can scrape the marketplace home page, category pages, search results, and direct marketplace URLs. The actor saves structured app records including names, descriptions, developers, ratings, review counts, install counts, categories, screenshots, support links, privacy links, and marketplace URLs. ### Who is it for? - 🧭 **SaaS sales teams** building lead lists of Workspace add-on vendors. - 🀝 **Partnership teams** finding integration partners in CRM, productivity, education, and collaboration categories. - πŸ“ˆ **App-store SEO teams** monitoring titles, descriptions, ratings, and install signals. - πŸ•΅οΈ **Competitive intelligence analysts** tracking competitors across Google Workspace Marketplace categories. - πŸ’Ό **Investors and market researchers** mapping software segments around Google Workspace users. ### Why use this actor? Manual marketplace research is slow. Category pages contain many apps, and search pages are useful for niche discovery. This actor turns those pages into a clean dataset that can be exported, filtered, enriched, and scheduled. ### Data you can extract | Field | Description | | --- | --- | | `appId` | Google Marketplace app identifier | | `name` | App listing name | | `shortDescription` | Short listing summary | | `longDescription` | Full listing description when enabled | | `marketplaceUrl` | Public Marketplace app URL | | `developerName` | Developer or vendor name | | `developerWebsite` | Vendor website | | `developerContact` | Public contact/address field when shown | | `ratingAverage` | Average star rating | | `ratingCount` | Review/rating count | | `installsText` | Marketplace install label such as `1M+` | | `installs` | Numeric install count from the public payload | | `categoryNames` | Marketplace categories | | `privacyPolicyUrl` | Privacy policy URL | | `supportUrl` | Support URL | | `screenshotUrls` | Screenshot image URLs | ### How much does it cost to scrape Google Workspace Marketplace? This actor uses pay-per-event pricing. A $0.005 start event is charged once per run, and each saved app listing is charged at the formula-derived benchmark price of about $0.000027 per app listing. You can keep costs low by using `maxItems` during testing and then raising it for production runs. ### Quick start 1. Open the actor on Apify. 2. Add one or more Marketplace category URLs, search terms, or category slugs. 3. Set `maxItems` to the number of app listings you need. 4. Run the actor. 5. Export the dataset as JSON, CSV, Excel, or connect it to your workflow. ### Input options #### Start URLs Use `startUrls` for direct pages such as: - `https://workspace.google.com/marketplace` - `https://workspace.google.com/marketplace/category/business-tools` - `https://workspace.google.com/marketplace/category/productivity` - `https://workspace.google.com/marketplace/search/CRM` #### Search terms Use `searchTerms` to generate Marketplace search pages automatically. Examples: - `CRM` - `project management` - `calendar booking` - `AI assistant` #### Category slugs Use `categorySlugs` when you know the Marketplace category path. Examples: - `business-tools` - `productivity` - `communication` - `education` - `utilities` #### Maximum apps `maxItems` limits saved app records across all inputs. Use a small value such as 25 for tests and a larger value for production collection. #### Long descriptions `includeLongDescription` saves full app descriptions. Disable it if you only need compact rows. ### Example input ```json { "startUrls": [ { "url": "https://workspace.google.com/marketplace/category/business-tools" } ], "searchTerms": ["CRM"], "categorySlugs": ["productivity"], "maxItems": 50, "includeLongDescription": true } ```` ### Example output ```json { "appId": "331162826608", "name": "Atlassian", "shortDescription": "Integrate Jira and Confluence with Google Workspaceβ„’ to quickly create, track, and update work.", "marketplaceUrl": "https://workspace.google.com/marketplace/app/atlassian/331162826608", "developerName": "Atlassian", "ratingAverage": 3.58, "ratingCount": 71, "installsText": "1M+", "installs": 1798514, "categoryNames": ["Productivity"], "privacyPolicyUrl": "https://www.atlassian.com/legal/privacy-policy", "sourceUrl": "https://workspace.google.com/marketplace/category/productivity", "scrapedAt": "2026-05-28T00:00:00.000Z" } ``` ### Tips for best results - 🎯 Use category pages for broad market maps. - πŸ”Ž Use search terms for niche discovery. - πŸ“‰ Keep `maxItems` low when testing a new query. - 🧹 Deduplicate by `appId` when combining multiple scheduled runs. - πŸ“Š Track ratings and installs over time by scheduling repeat runs. ### Common use cases - Build a list of Google Workspace add-on vendors. - Monitor category leaders and install-count changes. - Compare Marketplace descriptions for SEO research. - Find integration partners for a SaaS product. - Discover competitors in a specific Workspace workflow. - Feed app records into a CRM or enrichment pipeline. ### Integrations You can connect the dataset to: - Google Sheets for research dashboards. - Airtable for partnership pipelines. - HubSpot or Salesforce after exporting leads. - BI tools for market maps and category reports. - Webhooks for scheduled monitoring. ### API usage #### Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/google-workspace-marketplace-scraper').call({ categorySlugs: ['productivity'], maxItems: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items.slice(0, 3)); ``` #### Python ```python from apify_client import ApifyClient import os client = ApifyClient(os.environ['APIFY_TOKEN']) run = client.actor('automation-lab/google-workspace-marketplace-scraper').call(run_input={ 'searchTerms': ['CRM'], 'maxItems': 50, }) items = client.dataset(run['defaultDatasetId']).list_items().items print(items[:3]) ``` #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/automation-lab~google-workspace-marketplace-scraper/runs?token=$APIFY_TOKEN" \ -H 'Content-Type: application/json' \ -d '{"categorySlugs":["business-tools"],"maxItems":50}' ``` ### MCP usage Use this actor from Claude Desktop, Claude Code, or other MCP-compatible tools with the Apify MCP server. Claude Code CLI setup: ```bash claude mcp add apify-google-workspace-marketplace \ https://mcp.apify.com/?tools=automation-lab/google-workspace-marketplace-scraper ``` Claude Desktop JSON configuration: ```json { "mcpServers": { "apify-google-workspace-marketplace": { "url": "https://mcp.apify.com/?tools=automation-lab/google-workspace-marketplace-scraper" } } } ``` Example prompts: - "Scrape the Google Workspace Marketplace productivity category and summarize the top-rated apps." - "Find CRM-related Workspace add-ons with more than 100,000 installs." - "Compare descriptions of Google Workspace project management apps." ### Scheduling Schedule daily, weekly, or monthly runs to monitor category changes, rating changes, and new entrants. Store each run's dataset or export results to a warehouse for historical analysis. ### Data quality notes The actor reads public Marketplace payloads returned by Google. Some fields may be missing when the Marketplace listing does not expose them. Install counts can be both text labels and numeric values, depending on what Google provides. ### Limitations - The MVP focuses on public app listings, not reviews. - It does not log in or collect private Workspace data. - Marketplace pagination can change; the actor extracts listings visible in the returned public page payload. - Category names are mapped from public menu metadata when available. ### Legality and ethical use This actor collects publicly available marketplace listing data. Always follow Apify terms, Google terms, and applicable laws. Do not use the output for spam or abusive outreach. ### Troubleshooting #### Why did I get fewer apps than requested? The selected page may expose fewer public listings than your `maxItems` value, or duplicate apps may appear across multiple input sources and be saved only once. #### Why are some category names empty? The actor always saves numeric category IDs. Human-readable category names depend on category menu metadata being present in the fetched page. #### Can I scrape reviews? This actor is optimized for listings. Reviews are a separate entity type and should be handled by a dedicated review scraper or a future named dataset. ### Related scrapers Explore related actors from automation-lab: - https://apify.com/automation-lab/apple-app-store-scraper - https://apify.com/automation-lab/apify-store-analyzer - https://apify.com/automation-lab/ai-tools-directory-scraper - https://apify.com/automation-lab/producthunt-scraper ### FAQ #### Does this require a Google account? No. The actor uses public Marketplace pages and does not require login. #### Does it use a browser? No. It is HTTP-only, which keeps runs lightweight and cost efficient. #### Can I scrape multiple categories in one run? Yes. Add multiple `categorySlugs` or category URLs and set `maxItems` high enough. #### Can I export to CSV? Yes. Apify datasets can be exported as CSV, JSON, Excel, XML, RSS, or HTML. #### Can I run it from an API? Yes. Use the Apify API examples above with `automation-lab/google-workspace-marketplace-scraper`. # Actor input Schema ## `startUrls` (type: `array`): Google Workspace Marketplace home, category, search, or app/listing URLs to scrape. Leave empty to scrape the marketplace home page. ## `searchTerms` (type: `array`): Optional marketplace searches to run, such as CRM, calendar booking, project management, or AI assistant. ## `categorySlugs` (type: `array`): Optional Google Workspace Marketplace category slugs. Examples: business-tools, productivity, communication, education, utilities. ## `maxItems` (type: `integer`): Maximum number of app listings to save across all sources. ## `includeLongDescription` (type: `boolean`): Save each app's full marketplace description when available. Disable for smaller dataset rows. ## Actor input object example ```json { "startUrls": [ { "url": "https://workspace.google.com/marketplace/category/business-tools" } ], "searchTerms": [ "CRM" ], "categorySlugs": [ "productivity" ], "maxItems": 20, "includeLongDescription": true } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://workspace.google.com/marketplace/category/business-tools" } ], "searchTerms": [ "CRM" ], "categorySlugs": [ "productivity" ], "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/google-workspace-marketplace-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "startUrls": [{ "url": "https://workspace.google.com/marketplace/category/business-tools" }], "searchTerms": ["CRM"], "categorySlugs": ["productivity"], "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/google-workspace-marketplace-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://workspace.google.com/marketplace/category/business-tools" } ], "searchTerms": [ "CRM" ], "categorySlugs": [ "productivity" ], "maxItems": 20 }' | apify call automation-lab/google-workspace-marketplace-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/google-workspace-marketplace-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Workspace Marketplace Scraper", "description": "Extract Google Workspace Marketplace app listings with ratings, installs, developers, categories, descriptions, screenshots, and links.", "version": "0.1", "x-build-id": "GZhKtysyg2HsKt1XY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~google-workspace-marketplace-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-google-workspace-marketplace-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/automation-lab~google-workspace-marketplace-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-google-workspace-marketplace-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/automation-lab~google-workspace-marketplace-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-google-workspace-marketplace-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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Google Workspace Marketplace home, category, search, or app/listing URLs to scrape. Leave empty to scrape the marketplace home page.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Optional marketplace searches to run, such as CRM, calendar booking, project management, or AI assistant.", "items": { "type": "string" } }, "categorySlugs": { "title": "Category slugs", "type": "array", "description": "Optional Google Workspace Marketplace category slugs. Examples: business-tools, productivity, communication, education, utilities.", "items": { "type": "string" } }, "maxItems": { "title": "Maximum apps", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of app listings to save across all sources.", "default": 20 }, "includeLongDescription": { "title": "Include long descriptions", "type": "boolean", "description": "Save each app's full marketplace description when available. Disable for smaller dataset rows.", "default": true } } }, "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 } } } } } } } } } } ```