# SEO Domain Overview (DataForSEO) (`precocious_clouds/seo-domain-overview`) Actor Fetches trimmed domain SEO metrics from DataForSEO Labs Domain Rank Overview API for LLM-friendly output. - **URL**: https://apify.com/precocious\_clouds/seo-domain-overview.md - **Developed by:** [Nesrine Zarrouki](https://apify.com/precocious_clouds) (community) - **Categories:** AI, Agents, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 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. 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 **Built for AI agents.** Pass a domain, get compact SEO metrics back as JSON — ready to drop into an LLM context window. **No API keys required.** No external accounts, no credentials, no setup. Just provide a domain and run. ### AI Agent Integration Guide This service is optimized for machine-to-machine execution, multi-agent workflows, and x402 pay-per-call usage. #### Expected agent input | Field | Type | Required | Notes | | --- | --- | --- | --- | | `domain` | string | **Yes** | Root domain only (e.g. `example.com`) — no `https://` or paths | | `location_code` | integer | No | Default `2840` (United States). Use `2826` for UK. | | `language_code` | string | No | Default `en` | #### Intended use cases (semantic matching) **Trigger this tool when the master goal involves:** - "How much SEO traffic does [domain] get?" - "Analyze [company]'s organic search presence" - "Competitor SEO overview" or "domain authority snapshot" - "How many keywords does [site] rank for?" - "Is [prospect domain] getting organic traction?" - "SEO metrics for lead qualification" - Enriching an LLM with domain-level SEO context before outreach, scoring, or research **Do NOT trigger this tool when:** - The user wants an **on-page audit** (H1 tags, meta descriptions, page speed, alt text) — this returns domain-level metrics only - The user wants **broken link checks** or **technical crawl reports** - The user asks for **general keyword trends** without naming a specific domain - The user needs **SERP rankings for a single keyword** (use a rank tracker instead) - The user provides a **full page URL** with a path — extract the root domain first Get instant SEO metrics for any domain: estimated organic and paid traffic, ranking keyword counts, and top-10 visibility. ### Why agents use this - **Zero setup** — only input is a domain name - **Small JSON output** — trimmed for LLM context, not raw API dumps - **Predictable pricing** — ~$0.05 per domain lookup - **x402 compatible** — autonomous agents can pay and run without bringing their own API keys ### What you get Each run analyzes one domain and returns: | Field | Description | | --- | --- | | `domain` | Target domain | | `estimated_organic_traffic_monthly` | Estimated monthly organic traffic | | `estimated_paid_traffic_monthly` | Estimated monthly paid traffic | | `total_ranking_keywords` | Total organic keywords the domain ranks for | | `top_10_ranking_keywords` | Keywords ranking in positions 1–10 | | `estimated_organic_paid_cost_usd` | Estimated cost to buy equivalent organic traffic via PPC | | `estimated_paid_traffic_cost_usd` | Estimated monthly paid traffic cost | | `location_code` | Market used (default: `2840` = United States) | | `language_code` | Language used (default: `en`) | | `status` | `Success` or error details | ### Example output ```json { "domain": "example.com", "location_code": 2840, "language_code": "en", "estimated_organic_traffic_monthly": 3055.74, "estimated_paid_traffic_monthly": 32.18, "total_ranking_keywords": 1788, "top_10_ranking_keywords": 139, "estimated_organic_paid_cost_usd": 15078.99, "estimated_paid_traffic_cost_usd": 275.84, "status": "Success" } ```` ### Pricing | Event | Price | | --- | --- | | **Result** | **$0.05** per domain overview | | Actor start | $0.00005 per run | # Actor input Schema ## `domain` (type: `string`): The root domain to analyze (e.g. example.com). The agent MUST provide this. Do not include https://, www, or path segments. Use when the goal is to measure a website's search visibility, traffic potential, or keyword footprint at the domain level. ## `location_code` (type: `integer`): Geographic market for SEO metrics. Use 2840 for United States (default), 2826 for United Kingdom, 2124 for Canada. Only set when the user specifies a country/market; otherwise omit to use US defaults. ## `language_code` (type: `string`): Two-letter language code for the search market (default: en). Only set when the user specifies a language; otherwise omit. ## Actor input object example ```json { "domain": "example.com", "location_code": 2840, "language_code": "en" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "domain": "example.com", "location_code": 2840, "language_code": "en" }; // Run the Actor and wait for it to finish const run = await client.actor("precocious_clouds/seo-domain-overview").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "domain": "example.com", "location_code": 2840, "language_code": "en", } # Run the Actor and wait for it to finish run = client.actor("precocious_clouds/seo-domain-overview").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 '{ "domain": "example.com", "location_code": 2840, "language_code": "en" }' | apify call precocious_clouds/seo-domain-overview --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=precocious_clouds/seo-domain-overview", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEO Domain Overview (DataForSEO)", "description": "Fetches trimmed domain SEO metrics from DataForSEO Labs Domain Rank Overview API for LLM-friendly output.", "version": "0.1", "x-build-id": "1HiXvFEB1iIWebtA7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/precocious_clouds~seo-domain-overview/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-precocious_clouds-seo-domain-overview", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/precocious_clouds~seo-domain-overview/runs": { "post": { "operationId": "runs-sync-precocious_clouds-seo-domain-overview", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/precocious_clouds~seo-domain-overview/run-sync": { "post": { "operationId": "run-sync-precocious_clouds-seo-domain-overview", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "domain" ], "properties": { "domain": { "title": "Target Domain", "type": "string", "description": "The root domain to analyze (e.g. example.com). The agent MUST provide this. Do not include https://, www, or path segments. Use when the goal is to measure a website's search visibility, traffic potential, or keyword footprint at the domain level." }, "location_code": { "title": "Search Market (Location Code)", "type": "integer", "description": "Geographic market for SEO metrics. Use 2840 for United States (default), 2826 for United Kingdom, 2124 for Canada. Only set when the user specifies a country/market; otherwise omit to use US defaults.", "default": 2840 }, "language_code": { "title": "Search Language", "type": "string", "description": "Two-letter language code for the search market (default: en). Only set when the user specifies a language; otherwise omit.", "default": "en" } } }, "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 } } } } } } } } } } ```