# Public Article Intelligence & Citation Extractor (`jacksu/public-article-intelligence-agent`) Actor Extract clean article text, metadata, summaries, citations, diagnostics, and change signals from public article URLs. - **URL**: https://apify.com/jacksu/public-article-intelligence-agent.md - **Developed by:** [jack su](https://apify.com/jacksu) (community) - **Categories:** News, AI, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 useful article results 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 ## Public Article Intelligence & Citation Extractor Extract clean article text, metadata, summary bullets, source snippets, and change signals from public article URLs. This Actor is designed for AI agents, RAG preparation, newsletter workflows, SEO review, competitive research, and content monitoring where a generic web scraper is too noisy or unpredictable. ### What It Returns - Clean article text and preview - Title, description, author, dates, canonical URL, language, and keywords - Deterministic summary bullets - Matched focus terms - Content hash and `new`, `changed`, or `unchanged` status - Evidence snippets and evidence URLs - Confidence, completeness, missing fields, diagnostics, and readable errors ### Pricing Design The intended pay-per-event setup is: - `apify-actor-start`: a tiny run-start fee - `useful-article-result`: charged only for useful public article records - no `apify-default-dataset-item` Short pages, private-network URLs, sensitive token-like paths, failed fetches, duplicates, and unchanged comparison records should not charge the useful article event. ### Good Fits - Summarizing public blog posts or news articles for AI agents - Preparing public article records for RAG or spreadsheets - Monitoring whether important articles changed - Checking article metadata completeness - Building source-linked research briefs ### Boundaries This Actor does not log in, bypass paywalls, use cookies, crawl private feeds, or enrich private persons. It accepts public HTTP and HTTPS article URLs only. Credentials, query parameters, fragments, private-network addresses, localhost, `.local`, account/invite/reset/unsubscribe paths, and token-like paths are rejected or safely redacted. # Actor input Schema ## `urls` (type: `array`): Public HTTP or HTTPS article URLs without credentials, query parameters, or fragments. ## `focusTerms` (type: `array`): Optional words or phrases to match in the article text. ## `previousArticleRecords` (type: `array`): Optional prior output records used to mark article content as new, changed, or unchanged. ## `maxArticleChars` (type: `integer`): Maximum clean article text characters returned per URL. ## `maxSummaryBullets` (type: `integer`): Maximum deterministic summary bullets returned per article. ## `requestTimeoutSecs` (type: `integer`): Maximum time in seconds to wait for each article-page request. ## Actor input object example ```json { "urls": [ "https://blog.apify.com/web-scraping-guide/" ], "focusTerms": [ "web scraping", "automation" ], "previousArticleRecords": [], "maxArticleChars": 8000, "maxSummaryBullets": 3, "requestTimeoutSecs": 20 } ```` # Actor output Schema ## `datasetId` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("jacksu/public-article-intelligence-agent").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 = {} # Run the Actor and wait for it to finish run = client.actor("jacksu/public-article-intelligence-agent").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 '{}' | apify call jacksu/public-article-intelligence-agent --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jacksu/public-article-intelligence-agent", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Public Article Intelligence & Citation Extractor", "description": "Extract clean article text, metadata, summaries, citations, diagnostics, and change signals from public article URLs.", "version": "0.1", "x-build-id": "01JmutyDYbARgeWue" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jacksu~public-article-intelligence-agent/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jacksu-public-article-intelligence-agent", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jacksu~public-article-intelligence-agent/runs": { "post": { "operationId": "runs-sync-jacksu-public-article-intelligence-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jacksu~public-article-intelligence-agent/run-sync": { "post": { "operationId": "run-sync-jacksu-public-article-intelligence-agent", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Article URLs", "minItems": 1, "maxItems": 20, "type": "array", "description": "Public HTTP or HTTPS article URLs without credentials, query parameters, or fragments.", "items": { "type": "string" }, "default": [ "https://blog.apify.com/web-scraping-guide/" ] }, "focusTerms": { "title": "Focus terms", "type": "array", "description": "Optional words or phrases to match in the article text.", "items": { "type": "string" }, "default": [ "web scraping", "automation" ] }, "previousArticleRecords": { "title": "Previous article records", "type": "array", "description": "Optional prior output records used to mark article content as new, changed, or unchanged.", "items": { "type": "object" }, "default": [] }, "maxArticleChars": { "title": "Maximum article text characters", "minimum": 1000, "maximum": 20000, "type": "integer", "description": "Maximum clean article text characters returned per URL.", "default": 8000 }, "maxSummaryBullets": { "title": "Maximum summary bullets", "minimum": 1, "maximum": 5, "type": "integer", "description": "Maximum deterministic summary bullets returned per article.", "default": 3 }, "requestTimeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 60, "type": "integer", "description": "Maximum time in seconds to wait for each article-page request.", "default": 20 } } }, "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 } } } } } } } } } } ```