# DataPulse URL Extractor (`timely_quarterstaff/datapulse-url-extractor`) Actor Deterministic, SSRF-guarded structured-data extraction from any public URL. Returns title, meta tags, headings, links and clean text with a code-computed summary. Optional AI enrichment. - **URL**: https://apify.com/timely\_quarterstaff/datapulse-url-extractor.md - **Developed by:** [Ahmed Moussa](https://apify.com/timely_quarterstaff) (community) - **Categories:** Developer tools - **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 ## DataPulse URL Extractor Deterministic, SSRF-guarded structured-data extraction from any public URL. ### What it does For each input URL the actor returns a single dataset item with: - `url` — the requested URL - `status` — `completed`, `blocked`, `failed`, or `empty` - `data` — structured extraction: `title`, `meta_tags`, `headings`, `links`, `text` (and, when AI enrichment is enabled, an `ai_extracted` block) - `meta` — **code-owned, deterministic**: `extracted_at` (real server time), `method`, and a `summary` (`row_count`, numeric stats) computed in code from the extracted data — never trusted from any model. ### Input ```json { "url": "https://example.com", "urls": ["https://www.iana.org/help/example-domains"], "schema_hint": "company info", "llm_api_key": "(optional — enables AI enrichment)", "llm_model": "deepseek/deepseek-chat" } ```` `url`/`urls` are public http(s) URLs. If `llm_api_key` (or the `OPENROUTER_API_KEY` secret) is empty, the actor returns a fully deterministic, code-only extraction. ### Output One JSON item per URL pushed to the default dataset: ```json { "url": "https://example.com", "status": "completed", "data": { "title": "Example Domain", "meta_tags": { "description": "..." }, "headings": [ { "level": "h1", "text": "Example Domain" } ], "links": [ { "href": "https://www.iana.org/domains/example", "text": "More information..." } ], "text": "Example Domain This domain is for use in..." }, "meta": { "extracted_at": "2026-06-23T00:00:00+00:00", "method": "deterministic_code", "summary": { "row_count": 1 } } } ``` ### Use cases - Turn an arbitrary public page into clean, structured JSON for a pipeline or LLM prompt. - Pull title / meta / headings / links / body text for SEO, monitoring or content audits. - Lightweight "fetch + parse" step that is safe to run on untrusted URLs (SSRF-guarded). ### How it works (deterministic, code-only) Pure code: HTTP fetch through an SSRF-guarded client, then stdlib/regex HTML parsing to extract title, meta tags, headings, links and clean text. The `meta.summary` is computed in code from the parsed data. No headless browser, no AI on the default path. ### Safety (always on) - **SSRF guard** — any URL that resolves to a private / loopback / link-local / reserved address is **blocked** (fail-closed); each redirect hop is re-validated before being followed. - **Blocklist** — login-walled / ToS-sensitive domains (LinkedIn, Facebook, Instagram, X, Glassdoor, Indeed, Zillow, Yelp, …) are refused. - **Bounded fetch** — 5s connect / 10s read timeout, 2 MB hard size cap, content-type allowlist, max 3 redirects. Never crashes or hangs. ### Limitations (honest) - Pages that render entirely client-side (heavy JS, no server-side HTML) expose less content — there is no headless browser on the default path. - Login-walled / blocklisted domains return `status: "blocked"` by design. - AI enrichment requires **your own** OpenRouter key; the actor ships no built-in key. *** Powered by OMEGA · DataPulse extraction core. # Actor input Schema ## `url` (type: `string`): A single public URL to extract structured data from. ## `urls` (type: `array`): Optional list of additional URLs to extract (processed in addition to 'url'). ## `schema_hint` (type: `string`): Optional. What data to focus on (e.g. 'company info', 'product listings'). Only used when AI enrichment is enabled. ## `llm_api_key` (type: `string`): Optional. Enables AI enrichment of the deterministic extraction. If empty, a fully deterministic code-only extraction is returned. ## `llm_model` (type: `string`): OpenRouter model id for AI enrichment. ## Actor input object example ```json { "url": "https://news.ycombinator.com", "llm_model": "deepseek/deepseek-chat" } ``` # 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": "https://news.ycombinator.com" }; // Run the Actor and wait for it to finish const run = await client.actor("timely_quarterstaff/datapulse-url-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 = { "url": "https://news.ycombinator.com" } # Run the Actor and wait for it to finish run = client.actor("timely_quarterstaff/datapulse-url-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 '{ "url": "https://news.ycombinator.com" }' | apify call timely_quarterstaff/datapulse-url-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=timely_quarterstaff/datapulse-url-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DataPulse URL Extractor", "description": "Deterministic, SSRF-guarded structured-data extraction from any public URL. Returns title, meta tags, headings, links and clean text with a code-computed summary. Optional AI enrichment.", "version": "0.1", "x-build-id": "NwdRiy7pw5av2SLWU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/timely_quarterstaff~datapulse-url-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-timely_quarterstaff-datapulse-url-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/timely_quarterstaff~datapulse-url-extractor/runs": { "post": { "operationId": "runs-sync-timely_quarterstaff-datapulse-url-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/timely_quarterstaff~datapulse-url-extractor/run-sync": { "post": { "operationId": "run-sync-timely_quarterstaff-datapulse-url-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": { "url": { "title": "URL", "type": "string", "description": "A single public URL to extract structured data from." }, "urls": { "title": "URLs (batch)", "type": "array", "description": "Optional list of additional URLs to extract (processed in addition to 'url').", "items": { "type": "string" } }, "schema_hint": { "title": "Schema hint", "type": "string", "description": "Optional. What data to focus on (e.g. 'company info', 'product listings'). Only used when AI enrichment is enabled." }, "llm_api_key": { "title": "OpenRouter API key (optional)", "type": "string", "description": "Optional. Enables AI enrichment of the deterministic extraction. If empty, a fully deterministic code-only extraction is returned." }, "llm_model": { "title": "LLM model (optional)", "type": "string", "description": "OpenRouter model id for AI enrichment.", "default": "deepseek/deepseek-chat" } } }, "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 } } } } } } } } } } ```