# GBP Completeness Audit - Score Google Business Profiles (`santamaria-automations/gbp-completeness-audit`) Actor Score any Google Business Profile against an 8-signal completeness rubric. Flags profiles missing a website or ownership claim as HIGH-priority leads for local SEO agencies. Zero-fetch, zero-LLM. Pay-per-result. - **URL**: https://apify.com/santamaria-automations/gbp-completeness-audit.md - **Developed by:** [NanoScrape](https://apify.com/santamaria-automations) (community) - **Categories:** Lead generation, Automation, SEO tools - **Stats:** 23 total users, 15 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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/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 ## GBP Completeness Audit Score any Google Business Profile against an 8-signal completeness rubric. Surfaces high-priority local SEO leads: profiles with no website or an unclaimed listing. Zero fetches, zero LLM, zero API keys. Feed it the output of the [Google Maps Scraper](https://apify.com/santamaria-automations/google-maps-scraper) and get one score row per business, ready to sort in a sheet or push into a CRM. ### What It Does For every input place record the actor evaluates 8 signals: | Signal | Weight | Full credit when | |--------|--------|------------------| | Website | 1 pt | `website` is set | | Phone | 1 pt | `phone` is set | | Hours | 1 pt | `open_hours` is populated | | Description | 1 pt | `description` is set | | Category | 1 pt | `category` or `categories` is set | | Photos | 0 / 0.5 / 1 pt | 0 / 1-4 / 5+ photos | | Reviews | 0 / 0.5 / 1 pt | 0 / 1-9 / 10+ reviews | | Claimed | 1 pt | `owner` object present | Total points are scaled to a 0-100 `gbp_completeness_score`. The actor also returns: - `sub_scores` - per-signal raw score, so you can rebuild your own weighting - `missing_fields[]` - the field names that scored 0, ready to hand to the business owner - `lead_priority_flag` - `HIGH` when the profile has no website OR is unclaimed, `NORMAL` otherwise `HIGH` profiles are the sweet spot for local SEO agencies: the business exists on Google Maps but has not claimed its listing or built a website. ### Input Two shapes are accepted, and you can mix them in a single run. Flat places list (natural shape, just pipe the google-maps-scraper output): ```json { "places": [ { "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4", "title": "Example Restaurant Ltd.", "website": "..." } ] } ```` Companies shape (with a `company_id` passthrough for join-back to your CRM): ```json { "companies": [ { "company_id": "acme-42", "place": { "place_id": "ChIJ...", "title": "Acme Widgets GmbH" } } ] } ``` ### Output One row per input place: ```json { "company_id": "acme-42", "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4", "cid": "10281019595535971924", "name": "Example Restaurant Ltd.", "gbp_completeness_score": 88, "sub_scores": { "has_website": 1, "has_phone": 1, "has_hours": 1, "has_description": 0, "has_category": 1, "photo_count": 0.5, "review_count": 1, "is_claimed": 1 }, "missing_fields": ["description"], "lead_priority_flag": "NORMAL", "scraped_at": "2026-07-17T10:30:00Z" } ``` ### How To Use It 1. Run [Google Maps Scraper](https://apify.com/santamaria-automations/google-maps-scraper) to collect places for a niche and city. 2. Feed the dataset into this actor as `places`. 3. Sort the output by `lead_priority_flag = HIGH` and `gbp_completeness_score` ascending. 4. Pitch those businesses first. They have the most room to improve, which makes them the easiest to close. ### Pricing Pay-per-result via Apify Pay-Per-Event billing: | Event | Price | Description | |-------|-------|-------------| | Actor start | $0.001 | Charged once per run | | Place audited | $0.003 | Charged per scored place | Auditing 1,000 places costs about $3. No monthly fees, no minimums. ### Related Actors Discovery: - [Google Maps Scraper](https://apify.com/santamaria-automations/google-maps-scraper) - collect places in bulk Enrichment: - [AI Icebreaker Generator](https://apify.com/santamaria-automations/ai-icebreaker) - one personalized cold-outreach line per business - [Website Email Scraper](https://apify.com/santamaria-automations/website-email-scraper) - pull emails and phones from company sites - [Website Contact Extractor](https://apify.com/santamaria-automations/website-contact-extractor) - LLM-powered people extraction ### Issues & Feature Requests If a signal is missing or you would score things differently, open an issue on the actor's Issues tab and we will take a look. # Actor input Schema ## `places` (type: `array`): Array of Google Maps place records to audit. Each element is a full place object as emitted by the google-maps-scraper actor (with `title`, `website`, `phone`, `open_hours`, `description`, `category`, `categories`, `images`, `review_count`, `owner`, etc.). ## `companies` (type: `array`): Alternative shape. Each entry carries a company\_id that is echoed on the output row, letting you join audit results back to your source data. ## `proxyConfiguration` (type: `object`): Not used by the audit itself (no HTTP calls). Present for schema consistency with sibling add-ons. ## Actor input object example ```json { "places": [ { "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4", "cid": "10281019595535971924", "title": "Example Restaurant Ltd.", "category": "Italian restaurant", "categories": [ "Italian restaurant", "Pizza restaurant" ], "website": "https://example-restaurant.example", "phone": "+49 89 12345678", "description": "Sample Italian restaurant in Munich, family-owned since 1985.", "open_hours": { "Monday": "11:00-22:00", "Tuesday": "11:00-22:00" }, "review_count": 320, "review_rating": 4.5, "images": [ { "title": "Interior", "image": "https://lh5.googleusercontent.com/p/1.jpg" }, { "title": "Dish", "image": "https://lh5.googleusercontent.com/p/2.jpg" }, { "title": "Menu", "image": "https://lh5.googleusercontent.com/p/3.jpg" }, { "title": "Storefront", "image": "https://lh5.googleusercontent.com/p/4.jpg" }, { "title": "Terrace", "image": "https://lh5.googleusercontent.com/p/5.jpg" } ], "owner": { "id": "123", "name": "Example Restaurant Ltd.", "link": "https://maps.google.com/owner" } } ], "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `audits` (type: `string`): Dataset of scored places # 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 = { "places": [ { "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4", "cid": "10281019595535971924", "title": "Example Restaurant Ltd.", "category": "Italian restaurant", "categories": [ "Italian restaurant", "Pizza restaurant" ], "website": "https://example-restaurant.example", "phone": "+49 89 12345678", "description": "Sample Italian restaurant in Munich, family-owned since 1985.", "open_hours": { "Monday": "11:00-22:00", "Tuesday": "11:00-22:00" }, "review_count": 320, "review_rating": 4.5, "images": [ { "title": "Interior", "image": "https://lh5.googleusercontent.com/p/1.jpg" }, { "title": "Dish", "image": "https://lh5.googleusercontent.com/p/2.jpg" }, { "title": "Menu", "image": "https://lh5.googleusercontent.com/p/3.jpg" }, { "title": "Storefront", "image": "https://lh5.googleusercontent.com/p/4.jpg" }, { "title": "Terrace", "image": "https://lh5.googleusercontent.com/p/5.jpg" } ], "owner": { "id": "123", "name": "Example Restaurant Ltd.", "link": "https://maps.google.com/owner" } } ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("santamaria-automations/gbp-completeness-audit").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 = { "places": [{ "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4", "cid": "10281019595535971924", "title": "Example Restaurant Ltd.", "category": "Italian restaurant", "categories": [ "Italian restaurant", "Pizza restaurant", ], "website": "https://example-restaurant.example", "phone": "+49 89 12345678", "description": "Sample Italian restaurant in Munich, family-owned since 1985.", "open_hours": { "Monday": "11:00-22:00", "Tuesday": "11:00-22:00", }, "review_count": 320, "review_rating": 4.5, "images": [ { "title": "Interior", "image": "https://lh5.googleusercontent.com/p/1.jpg", }, { "title": "Dish", "image": "https://lh5.googleusercontent.com/p/2.jpg", }, { "title": "Menu", "image": "https://lh5.googleusercontent.com/p/3.jpg", }, { "title": "Storefront", "image": "https://lh5.googleusercontent.com/p/4.jpg", }, { "title": "Terrace", "image": "https://lh5.googleusercontent.com/p/5.jpg", }, ], "owner": { "id": "123", "name": "Example Restaurant Ltd.", "link": "https://maps.google.com/owner", }, }], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("santamaria-automations/gbp-completeness-audit").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 '{ "places": [ { "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4", "cid": "10281019595535971924", "title": "Example Restaurant Ltd.", "category": "Italian restaurant", "categories": [ "Italian restaurant", "Pizza restaurant" ], "website": "https://example-restaurant.example", "phone": "+49 89 12345678", "description": "Sample Italian restaurant in Munich, family-owned since 1985.", "open_hours": { "Monday": "11:00-22:00", "Tuesday": "11:00-22:00" }, "review_count": 320, "review_rating": 4.5, "images": [ { "title": "Interior", "image": "https://lh5.googleusercontent.com/p/1.jpg" }, { "title": "Dish", "image": "https://lh5.googleusercontent.com/p/2.jpg" }, { "title": "Menu", "image": "https://lh5.googleusercontent.com/p/3.jpg" }, { "title": "Storefront", "image": "https://lh5.googleusercontent.com/p/4.jpg" }, { "title": "Terrace", "image": "https://lh5.googleusercontent.com/p/5.jpg" } ], "owner": { "id": "123", "name": "Example Restaurant Ltd.", "link": "https://maps.google.com/owner" } } ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call santamaria-automations/gbp-completeness-audit --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santamaria-automations/gbp-completeness-audit", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GBP Completeness Audit - Score Google Business Profiles", "description": "Score any Google Business Profile against an 8-signal completeness rubric. Flags profiles missing a website or ownership claim as HIGH-priority leads for local SEO agencies. Zero-fetch, zero-LLM. Pay-per-result.", "version": "1.0", "x-build-id": "nAfEYwrq8Zp1bMIm5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santamaria-automations~gbp-completeness-audit/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santamaria-automations-gbp-completeness-audit", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santamaria-automations~gbp-completeness-audit/runs": { "post": { "operationId": "runs-sync-santamaria-automations-gbp-completeness-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santamaria-automations~gbp-completeness-audit/run-sync": { "post": { "operationId": "run-sync-santamaria-automations-gbp-completeness-audit", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "places": { "title": "Places", "type": "array", "description": "Array of Google Maps place records to audit. Each element is a full place object as emitted by the google-maps-scraper actor (with `title`, `website`, `phone`, `open_hours`, `description`, `category`, `categories`, `images`, `review_count`, `owner`, etc.).", "items": { "type": "object" } }, "companies": { "title": "Companies (with company_id passthrough)", "type": "array", "description": "Alternative shape. Each entry carries a company_id that is echoed on the output row, letting you join audit results back to your source data.", "items": { "type": "object", "properties": { "company_id": { "title": "Company ID", "type": "string", "description": "Your internal identifier - echoed on the output row." }, "place": { "title": "Place", "type": "object", "description": "The Google Maps place record for this company." } }, "required": [ "place" ] } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Not used by the audit itself (no HTTP calls). Present for schema consistency with sibling add-ons." } } }, "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 } } } } } } } } } } ```