# Google About This Site & Domain Intelligence API (`dev00/about-this-site-metadata-api`) Actor Extract official Google Knowledge Graph site descriptions, salient image URLs, and entity MIDs directly from internal Chrome API gateways. - **URL**: https://apify.com/dev00/about-this-site-metadata-api.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 20.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.50 / 1,000 google site metadata lookups 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 "About This Site" Metadata & Domain Intelligence API Extract official Google Knowledge Graph site descriptions, salient image URLs, and Knowledge Graph entity MIDs directly from internal Chrome API gateways. Bypass standard scraped SERPs entirely! This Actor leverages direct, binary Protobuf connections to retrieve official domain metadata, Wikipedia summaries, and registered knowledge entities. Ideal for domain intelligence, bulk SEO analysis, brand trust validation, and semantic topic indexing. --- ### 🌟 Key Features * **Official Domain Descriptions**: Fetch Google's official registered text description and legal sources for any target website. * **Knowledge Graph Entity MIDs**: Extract machine entity IDs (`/m/...` and `/g/...`) representing the semantic categories of the target site. * **Salient Image Extraction**: Get high-quality site branding or logo image URLs extracted by Google's semantic indexing engines. * **Wikipedia Source Mapping**: Resolves exact references used by the Google Knowledge Graph to build site confidence lists. * **Ultra-Fast Performance**: Bypasses the latency and cost of running heavy browser-automation scrapers. * **Organized Tabular Datasets**: Results are neatly formatted for seamless export to Excel, CSV, or HTML tables in the Apify Console. --- ### 🛠️ How It Works This Actor queries an edge-optimized Cloudflare Worker gateway which crafts real-time binary Protobuf envelopes. It submits these payloads directly to Google's internal Chrome Optimization Guide endpoints, decodes the incoming stream, and parses structured entities on the fly. --- ### 📥 Input Parameters | Field | Type | Description | Prefill Example | | :--- | :--- | :--- | :--- | | **Target Domain / URL** | `string` | The domain name or base URL to fetch intelligence for. | `google.com` | #### Input JSON Example ```json { "url": "google.com" } ```` *** ### 📤 Output Data Structure Parsed results are output to the default dataset as a structured tabular row: #### Output JSON Example ```json { "success": true, "target_url": "https://google.com/", "description": "Google Search, or simply Google, is a search engine operated by Google.", "source_name": "Wikipedia", "source_url": "https://en.wikipedia.org/wiki/Google_Search", "salient_image_url": "https://encrypted-tbn0.gstatic.com/images?q=tbn:...", "entity_mids": [ "/m/045c7b", "/g/11b816..." ] } ``` *** ### 💳 Monetization & Cost This Actor utilizes the **Pay-Per-Event (PPE)** pricing model on the Apify Store: - **Base Pricing**: Only **$1.00 per 1,000 domains** (`$0.001` per event). - **No Server Execution Costs**: You are only charged for successful metadata extractions. If the domain has no recorded metadata or query fails, you pay nothing! # Actor input Schema ## `url` (type: `string`): Provide the base domain name or URL to query (e.g., 'google.com' or 'https://kdpforge.com/'). ## Actor input object example ```json { "url": "google.com" } ``` # Actor output Schema ## `results` (type: `string`): No description ## `keyValueStoreResult` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": "google.com" }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/about-this-site-metadata-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "url": "google.com" } # Run the Actor and wait for it to finish run = client.actor("dev00/about-this-site-metadata-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 '{ "url": "google.com" }' | apify call dev00/about-this-site-metadata-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/about-this-site-metadata-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google About This Site & Domain Intelligence API", "description": "Extract official Google Knowledge Graph site descriptions, salient image URLs, and entity MIDs directly from internal Chrome API gateways.", "version": "1.0", "x-build-id": "xRTpuJg1vUS3NvYRc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~about-this-site-metadata-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-about-this-site-metadata-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~about-this-site-metadata-api/runs": { "post": { "operationId": "runs-sync-dev00-about-this-site-metadata-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~about-this-site-metadata-api/run-sync": { "post": { "operationId": "run-sync-dev00-about-this-site-metadata-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "url" ], "properties": { "url": { "title": "Target Domain / URL", "type": "string", "description": "Provide the base domain name or URL to query (e.g., 'google.com' or 'https://kdpforge.com/')." } } }, "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 } } } } } } } } } } ```