# 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/X9hW268ElNZgpwdI7/builds/01JmutyDYbARgeWue/openapi.json