# Web Page Metadata Extractor — Title, OG Tags, Author & More (`maged120/get-metadata`) Actor Extract all metadata from any web page in one request — title, meta description, Open Graph tags, Twitter Card data, canonical URL, author, publish date, and more. - **URL**: https://apify.com/maged120/get-metadata.md - **Developed by:** [Maged](https://apify.com/maged120) (community) - **Categories:** Automation, Integrations, SEO tools - **Stats:** 7 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### What does Web Page Metadata Extractor do? **Web Page Metadata Extractor** retrieves all metadata from any URL in one request — title, meta description, Open Graph tags, Twitter Card data, canonical URL, author, publish date, favicon, and more — returned as clean structured JSON. This Actor runs on the [Apify platform](https://apify.com). Use it for content audits, SEO analysis, link preview generation, social media card debugging, or building URL enrichment pipelines. ### Why use Web Page Metadata Extractor? - **Complete metadata** — title, OG tags, Twitter Cards, canonical, hreflang, and structured data - **Batch URLs** — enrich hundreds of URLs in one run - **SEO audits** — quickly identify missing or misconfigured meta tags at scale - **Link preview data** — get all the data needed to render rich link previews - **LLM enrichment** — add URL context to AI pipelines without loading full page content ### How to use Web Page Metadata Extractor 1. Open the Actor and click **Try for free** 2. Enter URLs in the `urls` input field 3. Click **Start** — metadata appears in the Output tab 4. Download as JSON or CSV, or connect via the Apify API ### Input ```json { "urls": [ "https://apify.com", "https://example.com/blog/post-123", "https://github.com/apify/apify-sdk-python" ] } ```` | Field | Type | Description | Default | |---|---|---|---| | `urls` | array | Web page URLs to extract metadata from | required | ### Output Results are stored in the Apify dataset. Download in JSON, CSV, HTML, or Excel. ```json { "url": "https://apify.com", "title": "Apify: Full-Stack Web Scraping and Data Extraction Platform", "description": "Build, deploy, share, and monitor web scrapers...", "canonical": "https://apify.com/", "author": "", "publishDate": "", "og": { "title": "Apify Platform", "description": "Build and deploy web scrapers in minutes", "image": "https://apify.com/img/og-image.png", "type": "website", "url": "https://apify.com" }, "twitter": { "card": "summary_large_image", "site": "@apify", "title": "Apify Platform" }, "favicon": "https://apify.com/favicon.ico", "language": "en", "robots": "index, follow" } ``` ### Output fields | Field | Type | Description | |---|---|---| | `url` | string | Source URL | | `title` | string | Page title tag | | `description` | string | Meta description | | `canonical` | string | Canonical URL | | `author` | string | Author meta tag | | `publishDate` | string | Publication date (when available) | | `og.*` | object | Open Graph tag values | | `twitter.*` | object | Twitter Card tag values | | `favicon` | string | Favicon URL | | `language` | string | Page language | | `robots` | string | Robots meta directive | ### Cost Pay-per-result pricing: | Volume | Estimated cost | |---|---| | 100 URLs | ~$0.01–$0.10 | | 1,000 URLs | ~$0.10–$1.00 | | 10,000 URLs | ~$1–$10 | ### Tips - Use for bulk SEO audits — check if all pages have proper titles, descriptions, and OG images - Use `og.image` to pre-fetch thumbnail images for link previews in your app - Filter results where `description` is empty to find pages missing meta descriptions ### FAQ **Does this work on JavaScript-rendered pages?** The Actor uses fast HTTP requests. For pages that require JS to render metadata, some tags may be missing. **Can I use this to debug social media sharing previews?** Yes — the `og.*` and `twitter.*` fields show exactly what social platforms use for link previews. **Is this Actor maintained?** Yes. Report bugs or feature requests in the Issues tab. **Need help or have questions?** Open an issue in the Issues tab or reach out on Discord: **maged03211** # Actor input Schema ## `target_urls` (type: `array`): Multiple URLs to scrape metadata from (more efficient than single URL) ## `use_selenium` (type: `boolean`): Whether to use Selenium for JavaScript-heavy sites. If false, uses BeautifulSoup for faster scraping of static sites. ## `use_proxy` (type: `boolean`): Whether to use a proxy for the request, experiment with both to get the best results for your case ## `proxy_type` (type: `string`): Type of proxy to use (apify or custom) ## `custom_proxy_url` (type: `string`): Custom proxy URL (e.g., http://username:password@proxy.example.com:8080) ## `limit` (type: `integer`): Maximum number of metadata entries to return per URL (0 for unlimited) ## `filter` (type: `array`): List of metadata types to include (e.g., \['title', 'description', 'og:title']). Leave empty to return all metadata. ## Actor input object example ```json { "target_urls": [ "https://apify.com/maged120/search-engines-scraper" ], "use_selenium": false, "use_proxy": false, "proxy_type": "apify", "limit": 0, "filter": [] } ``` # 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 = { "target_urls": [ "https://apify.com/maged120/search-engines-scraper" ] }; // Run the Actor and wait for it to finish const run = await client.actor("maged120/get-metadata").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 = { "target_urls": ["https://apify.com/maged120/search-engines-scraper"] } # Run the Actor and wait for it to finish run = client.actor("maged120/get-metadata").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 '{ "target_urls": [ "https://apify.com/maged120/search-engines-scraper" ] }' | apify call maged120/get-metadata --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=maged120/get-metadata", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Web Page Metadata Extractor — Title, OG Tags, Author & More", "description": "Extract all metadata from any web page in one request — title, meta description, Open Graph tags, Twitter Card data, canonical URL, author, publish date, and more.", "version": "0.0", "x-build-id": "rG1gFFuSaaUIp0o2J" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maged120~get-metadata/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maged120-get-metadata", "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/maged120~get-metadata/runs": { "post": { "operationId": "runs-sync-maged120-get-metadata", "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/maged120~get-metadata/run-sync": { "post": { "operationId": "run-sync-maged120-get-metadata", "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": { "target_urls": { "title": "Target URLs", "type": "array", "description": "Multiple URLs to scrape metadata from (more efficient than single URL)", "items": { "type": "string" } }, "use_selenium": { "title": "Use Selenium (for dynamic sites, takes longer)", "type": "boolean", "description": "Whether to use Selenium for JavaScript-heavy sites. If false, uses BeautifulSoup for faster scraping of static sites.", "default": false }, "use_proxy": { "title": "Use Proxy", "type": "boolean", "description": "Whether to use a proxy for the request, experiment with both to get the best results for your case", "default": false }, "proxy_type": { "title": "Proxy Type", "enum": [ "apify", "custom" ], "type": "string", "description": "Type of proxy to use (apify or custom)", "default": "apify" }, "custom_proxy_url": { "title": "Custom Proxy URL", "type": "string", "description": "Custom proxy URL (e.g., http://username:password@proxy.example.com:8080)" }, "limit": { "title": "Result Limit", "minimum": 0, "type": "integer", "description": "Maximum number of metadata entries to return per URL (0 for unlimited)", "default": 0 }, "filter": { "title": "Metadata Filter", "type": "array", "description": "List of metadata types to include (e.g., ['title', 'description', 'og:title']). Leave empty to return all metadata.", "default": [], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```