# SEO Data Extractor - On-Page Tags for Any URL (`dltik/seo-data-extractor`) Actor Extract on-page SEO data from any list of URLs: title, meta description, canonical, robots, H1/H2 headings, Open Graph & Twitter Card tags, lang, viewport and word count. Pure HTTP, no browser — fast and cheap for bulk audits. - **URL**: https://apify.com/dltik/seo-data-extractor.md - **Developed by:** [Walid](https://apify.com/dltik) (community) - **Categories:** SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 page extracteds 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 ## SEO Data Extractor — On-Page Tags for Any URL > ⭐ **Bookmark this actor** so bulk on-page SEO extraction is one click away on your next audit. Extract **on-page SEO data** from any list of URLs in bulk. For each page you get the title, meta description, canonical, robots directive, H1/H2 headings, **Open Graph** and **Twitter Card** tags, `lang`, viewport and an approximate word count. Pure HTTP + HTML parsing — no browser, fast and cheap. ### What it extracts | Field | Notes | |---|---| | `title` + `title_length` | flag too-long/too-short titles | | `meta_description` + `description_length` | flag missing/oversized descriptions | | `canonical` | detect canonical issues | | `meta_robots` | catch `noindex` / `nofollow` | | `h1` + `h1_count`, `h2` + `h2_count` | heading structure (multiple/zero H1s) | | `og_title`, `og_description`, `og_image`, `og_type`, `og_site_name` | social preview tags | | `twitter_card`, `twitter_title`, `twitter_image` | Twitter Card tags | | `lang`, `charset`, `viewport` | technical basics | | `word_count` | thin-content detection | | `status`, `final_url` | redirects + non-200s | ### Input | Field | Type | Description | |---|---|---| | `urls` | array | List of page URLs (missing scheme defaults to `https://`) | | `url` | string | Convenience field for a single URL | | `timeoutSecs` | integer | Per-URL timeout, 1–60 (default 15) | | `concurrency` | integer | Parallel fetches, 1–30 (default 10) | #### Example input ```json { "urls": ["https://stripe.com", "https://stripe.com/pricing"] } ```` ### Output One record per URL: ```json { "url": "https://stripe.com/pricing", "status": 200, "title": "Pricing & Fees | Stripe", "title_length": 23, "meta_description": "Find Stripe fees and pricing information...", "h1": ["Simple, transparent pricing"], "h1_count": 1, "og_title": "Stripe Pricing", "word_count": 1240 } ``` ### Use cases - **Bulk SEO audits** — pull title/meta/H1 for an entire URL list and spot gaps in a spreadsheet. - **Content QA** — find missing meta descriptions, duplicate titles, multiple/zero H1s, thin content. - **Social preview checks** — confirm Open Graph and Twitter Card tags exist before a launch. - **Migration validation** — compare on-page tags before vs after a redesign. ### Pricing Pay-per-event: **$0.003 per page extracted**. Up to 1,000 pages per run — split larger lists across runs. ### Next step: AI search readiness On-page SEO is for Google. To see whether **ChatGPT, Claude and Perplexity** can read and cite these pages, run **[GEO Site Audit](https://apify.com/dltik/geo-site-audit)** — it scores robots.txt, `llms.txt`, Schema.org, meta tags and content extractability for AI crawlers. *** Built by [dltik](https://apify.com/dltik). Pure HTTP — no browser, fast and cheap. # Actor input Schema ## `urls` (type: `array`): List of page URLs to extract SEO data from (missing scheme defaults to https://). ## `url` (type: `string`): Convenience field for a single URL. Merged with the 'urls' list if both are set. ## `timeoutSecs` (type: `integer`): Per-URL request timeout in seconds (1-60). ## `concurrency` (type: `integer`): How many URLs to fetch in parallel (1-30). ## Actor input object example ```json { "urls": [ "https://stripe.com", "https://stripe.com/pricing" ], "timeoutSecs": 15, "concurrency": 10 } ``` # Actor output Schema ## `results` (type: `string`): On-page SEO data for each URL. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://stripe.com", "https://stripe.com/pricing" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dltik/seo-data-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "urls": [ "https://stripe.com", "https://stripe.com/pricing", ] } # Run the Actor and wait for it to finish run = client.actor("dltik/seo-data-extractor").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 '{ "urls": [ "https://stripe.com", "https://stripe.com/pricing" ] }' | apify call dltik/seo-data-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/seo-data-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEO Data Extractor - On-Page Tags for Any URL", "description": "Extract on-page SEO data from any list of URLs: title, meta description, canonical, robots, H1/H2 headings, Open Graph & Twitter Card tags, lang, viewport and word count. Pure HTTP, no browser — fast and cheap for bulk audits.", "version": "1.0", "x-build-id": "SE0aFyrMehwsHfb5Q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~seo-data-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-seo-data-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dltik~seo-data-extractor/runs": { "post": { "operationId": "runs-sync-dltik-seo-data-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dltik~seo-data-extractor/run-sync": { "post": { "operationId": "run-sync-dltik-seo-data-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs", "type": "array", "description": "List of page URLs to extract SEO data from (missing scheme defaults to https://).", "items": { "type": "string" } }, "url": { "title": "Single URL (optional)", "type": "string", "description": "Convenience field for a single URL. Merged with the 'urls' list if both are set." }, "timeoutSecs": { "title": "Timeout (seconds)", "minimum": 1, "maximum": 60, "type": "integer", "description": "Per-URL request timeout in seconds (1-60).", "default": 15 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 30, "type": "integer", "description": "How many URLs to fetch in parallel (1-30).", "default": 10 } } }, "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 } } } } } } } } } } ```