# Link Preview & URL Metadata API — Open Graph Extractor (`f0rty7even/link-preview`) Actor Free API: turn any URL into clean link-preview metadata — title, description, Open Graph & Twitter card, favicon, canonical, and language. Powers link unfurling and preview cards. No login. - **URL**: https://apify.com/f0rty7even/link-preview.md - **Developed by:** [F0rty7even](https://apify.com/f0rty7even) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Link Preview & URL Metadata API — Open Graph Extractor **Free.** Turn any URL into clean link-preview metadata — the data that powers link unfurling in Slack, Discord, and chat apps, and the preview cards on websites. Paste one URL or hundreds and get back **title, description, Open Graph, Twitter card, favicon, canonical URL, and language** as tidy JSON. No login, no API key, no cost — just fast, reliable metadata. ### What it does - **Open Graph & Twitter cards** — `og:title`, `og:description`, `og:image`, `og:site_name`, `og:type`, plus Twitter `card`/`title`/`description`/`image`. - **Core metadata** — page `title`, meta `description`, `canonical` URL, `lang`, `charset`, `theme-color`. - **Favicon** — resolved to an absolute URL (with sensible fallback). - **Redirect-aware** — reports the `finalUrl` and HTTP status. - **Batch** — pass many URLs, get one clean record each. ### Use cases - **Link previews / unfurling** — build rich cards for a chat app, CMS, or bookmarking tool. - **Content & social tooling** — pull OG images and titles for scheduling or dashboards. - **QA / SEO spot-checks** — confirm a page's OG/Twitter tags render correctly. ### Input | Field | Description | |---|---| | `urls` | One or more URLs to extract metadata from. | | `maxUrls` | Safety cap on URLs processed per run. | ### Output ```json { "url": "https://apify.com", "finalUrl": "https://apify.com", "statusCode": 200, "title": "Apify: The largest marketplace of trusted tools for AI", "description": "Thousands of tools to automate your business...", "ogImage": "https://apify.com/og-image?title=...", "ogSiteName": "Apify", "twitterCard": "summary_large_image", "canonical": "https://apify.com", "favicon": "https://apify.com/favicon.ico", "lang": "en" } ```` ### Need more than metadata? This is the free, lightweight sibling of my data-extraction Actors — if you need the **full content**, not just the preview: - **[LLM-Ready Web Extractor](https://apify.com/f0rty7even/llm-web-extractor)** — any URL or whole site → clean Markdown/JSON for LLMs & RAG. - **[SEO Audit & Site Health Checker](https://apify.com/f0rty7even/seo-auditor)** — crawl a site for per-page SEO issues and a health score. - **[llms.txt Generator](https://apify.com/f0rty7even/llms-txt-generator)** — make any website LLM-ready. ### Notes - Reads **server-rendered HTML** `` metadata (what social crawlers see). It does not execute JavaScript. - Public pages only — no login or paywall bypass. ### FAQ **Is it really free?** Yes — no per-result charge. You only ever pay Apify's standard platform usage for the run itself. **What formats can I export?** JSON, JSONL, CSV, or Excel, or via the Apify API. # Actor input Schema ## `urls` (type: `array`): One or more URLs to extract link-preview metadata from. ## `maxUrls` (type: `integer`): Safety cap on how many URLs to process in one run. ## Actor input object example ```json { "urls": [ { "url": "https://apify.com" } ], "maxUrls": 100 } ``` # Actor output Schema ## `previews` (type: `string`): One metadata record per URL. Export as JSON, JSONL, CSV, or Excel. # 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": [ { "url": "https://apify.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("f0rty7even/link-preview").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": [{ "url": "https://apify.com" }] } # Run the Actor and wait for it to finish run = client.actor("f0rty7even/link-preview").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": [ { "url": "https://apify.com" } ] }' | apify call f0rty7even/link-preview --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=f0rty7even/link-preview", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Link Preview & URL Metadata API — Open Graph Extractor", "description": "Free API: turn any URL into clean link-preview metadata — title, description, Open Graph & Twitter card, favicon, canonical, and language. Powers link unfurling and preview cards. No login.", "version": "0.1", "x-build-id": "fD2YIJz37amG66dC3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/f0rty7even~link-preview/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-f0rty7even-link-preview", "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/f0rty7even~link-preview/runs": { "post": { "operationId": "runs-sync-f0rty7even-link-preview", "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/f0rty7even~link-preview/run-sync": { "post": { "operationId": "run-sync-f0rty7even-link-preview", "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": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "One or more URLs to extract link-preview metadata from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxUrls": { "title": "Max URLs", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Safety cap on how many URLs to process in one run.", "default": 100 } } }, "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 } } } } } } } } } } ```