# Article & News Extractor (clean text, author, date, markdown) (`webdatatools/article-extractor`) Actor

Article & News Extractor returns clean article text, title, author(s), publish/modified date, tags and images from any news or blog URL — one row per URL, as Markdown, plain text or HTML.

- **URL**: https://apify.com/webdatatools/article-extractor.md
- **Developed by:** [Murat Uzun](https://apify.com/webdatatools) (community)
- **Categories:** News, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What is Article & News Extractor?

Article & News Extractor is an Apify Actor that turns any news article or blog post URL into **clean, structured data**: title, byline, publish/modified date, tags, images and the full body as Markdown, plain text or HTML. Point it at [blog.apify.com](https://blog.apify.com), a BBC News story, a TechCrunch post or any article-shaped page and it strips the navigation, ads, comments and related-articles clutter, leaving the words a human — or an LLM — actually came for. It reads Schema.org `Article`/`NewsArticle` JSON-LD first, falls back to Open Graph/Twitter meta tags and a Readability-style content extraction, and needs no browser or proxy, so it is fast and cheap even for thousands of URLs. Runs from the Apify Console, the API, schedules, or the [Apify MCP server](https://mcp.apify.com) for AI agents.

### What data does Article & News Extractor extract?

One row per URL, with every field present (`null` when the source does not publish it):

| Field | Type | Description |
| --- | --- | --- |
| `url`, `finalUrl`, `statusCode` | string, number | URL requested, URL after redirects, HTTP status |
| `title`, `subtitle` | string | Headline and dek/subheading |
| `author`, `authors` | string, array | Byline joined with commas, and each author name separately |
| `publishedAt`, `modifiedAt` | string | First-publish and last-modified timestamps |
| `publisher`, `siteName`, `section` | string | Publishing organisation, site/brand name, editorial section |
| `tags` | array | Keywords/tags the page declares |
| `lang` | string | Page language code, e.g. `en` |
| `description` | string | Meta/OG summary |
| `mainImage`, `images` | string, array | Lead image, and up to 20 other image URLs from the body |
| `wordCount`, `readingTimeMinutes` | number | Body length and estimated reading time at 200 wpm |
| `markdown`, `text`, `html` | string | Body in the format(s) `outputFormat` asks for; the others are `null` |
| `canonical` | string | The page's canonical URL |
| `isPaywalled` | boolean | True when the page signals a paywall |
| `extractionMethod` | string | How the body was found: `json-ld`, `readability` or `heuristic` |
| `error`, `scrapedAt` | string | Why a row failed, and when it was fetched |

### How to use Article & News Extractor

1. Paste the article URLs you want into **Article URLs** — one row comes back per URL.
2. Pick an **Output format**: `markdown` (default, best for LLM/RAG ingestion), `text`, `html`, or `all` for every format at once.
3. Click **Start**. Export the dataset as JSON, CSV, Excel or HTML, or pull it via the API.

### Example input

```json
{
    "urls": ["https://blog.apify.com/best-web-scraping-tools/", "https://techcrunch.com/2026/09/09/apple-unveils-its-first-foldable-the-iphone-duo/"],
    "outputFormat": "markdown",
    "includeImages": true,
    "maxConcurrency": 5
}
```

### Example output

```json
{
    "url": "https://blog.apify.com/best-web-scraping-tools/",
    "finalUrl": "https://blog.apify.com/best-web-scraping-tools/",
    "statusCode": 200,
    "title": "The best web scraping tools for 2026",
    "author": "Theo Vasilis",
    "authors": ["Theo Vasilis"],
    "publishedAt": "2026-06-19T08:00:00.000Z",
    "publisher": "Apify Blog",
    "siteName": "Apify Blog",
    "wordCount": 5312,
    "readingTimeMinutes": 27,
    "markdown": "Finding accurate, up-to-date data at scale has become essential...",
    "text": null,
    "html": null,
    "isPaywalled": false,
    "extractionMethod": "readability",
    "error": null,
    "scrapedAt": "2026-09-12T21:00:00.000Z"
}
```

You can download the dataset in various formats such as JSON, HTML, CSV or Excel.

### Input parameters

| Parameter | Type | Default | Description |
| --- | --- | --- | --- |
| `urls` | array | `["https://blog.apify.com/best-web-scraping-tools/"]` | Article URLs to extract, one row each |
| `outputFormat` | string | `markdown` | `markdown`, `text`, `html`, or `all` |
| `includeImages` | boolean | `true` | Return `mainImage`/`images` and keep `<img>` in the body |
| `maxConcurrency` | integer | `5` | URLs fetched in parallel (1-50) |

### Pricing

Article & News Extractor uses pay-per-event pricing: **$0.002 per extracted article, i.e. $2 per 1,000 articles**, plus a negligible actor-start fee. Every article is a single HTTP GET with no browser and no proxy, so runs of thousands of URLs stay cheap. Set **Maximum cost per run** and the Actor trims the URL list to what the budget covers instead of overspending.

### Article & News Extractor vs. Diffbot and browser-based scrapers

Diffbot's Article API charges per API call at enterprise pricing tiers and requires a subscription; browser-based article scrapers spin up a full Chromium instance per page, which costs more compute and is slower for pages that do not need JavaScript rendering. Article & News Extractor reads the same signals server-rendered pages already publish — JSON-LD, Open Graph, a readable DOM — with a single lightweight HTTP request, at a fraction of the per-page cost, and returns Markdown ready for an LLM prompt or a RAG index rather than a raw API payload to reshape.

### Using Article & News Extractor with AI agents and MCP

Article & News Extractor is pay-per-event with limited permissions — the two requirements for an Actor to be callable through the Apify MCP server at `mcp.apify.com`. An agent passes a list of `urls` and gets back clean Markdown per article — ready to drop straight into a prompt, a RAG index, a news-monitoring dashboard or a newsletter pipeline — without writing or maintaining a site-specific scraper. The same run works from n8n, Make, Zapier and LangChain through Apify's integrations.

### FAQ

**What if a page has no JSON-LD or usable body text?** The row still returns whatever Open Graph/Twitter metadata exists, `extractionMethod: null`, `markdown`/`text`/`html` all `null`, and `error: "Could not find article content on this page"` — the run still succeeds for every other URL.

**Does this work on JavaScript-rendered sites?** Only for what is present in the initial HTML response. Most news and blog CMSes server-render the article body and JSON-LD for SEO, so this covers the overwhelming majority of article pages without needing a browser.

**How is `isPaywalled` detected?** First from an explicit `isAccessibleForFree` flag in the page's JSON-LD; failing that, from a short body combined with wording like "subscribe to continue reading". It is a heuristic, not a guarantee — always check `wordCount` on suspect rows.

**Is this legal to run?** Yes. It reads exactly the HTML, meta tags and structured data a page already serves to browsers and search engines. You are responsible for complying with the target site's terms of use for your own use case.

**Can I export to CSV or Excel?** Yes, from the Output tab or the API, with a ready-made **Overview** view.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, reads public data
without a login, and returns one clean row per entity:

Browse the whole suite at [webdatatools](https://paulet4a-commits.github.io/webdatatools/), or call ten of
these Actors straight from Claude, Cursor or Cline with the
[webdatatools MCP server](https://github.com/paulet4a-commits/webdatatools-mcp-server).

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**Content for AI, LLMs and RAG**

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- [YouTube Search Results Scraper (videos, channels, no API key)](https://apify.com/webdatatools/youtube-search-scraper) — videos, channels and playlists per query
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- [Apple Podcasts Lookup & Episodes Scraper](https://apify.com/webdatatools/podcast-lookup) — podcast metadata and episodes from iTunes and RSS
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- [Google Play Reviews Scraper](https://apify.com/webdatatools/google-play-reviews-scraper) — reviews, ratings, replies and app versions per app
- [App Store Reviews Scraper](https://apify.com/webdatatools/app-store-reviews-scraper) — iOS reviews and ratings per app and country
- [Google Trends Scraper](https://apify.com/webdatatools/google-trends-scraper) — interest over time, by region, and related queries per keyword
- [Google Ads Transparency Scraper](https://apify.com/webdatatools/google-ads-transparency-scraper) — ads any advertiser runs on Google, with format and dates
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- [Mastodon Scraper (Hashtags, Accounts, Trending)](https://apify.com/webdatatools/mastodon-scraper) — public fediverse posts by hashtag, account or trending
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- [Eventbrite Scraper (Events by Keyword & City)](https://apify.com/webdatatools/eventbrite-scraper) — events by keyword and city with venue, dates and organizer

**Leads, jobs and company data**

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- [GitHub Repository Health & Activity Report](https://apify.com/webdatatools/github-repo-health) — stars, commits, contributors and risk flags per repo
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- [Chrome Web Store Extension Scraper (installs, ratings)](https://apify.com/webdatatools/chrome-web-store-extensions) — users, rating, version and developer per extension
- [Google Play Scraper](https://apify.com/webdatatools/google-play-scraper) — apps, ratings, installs, developer contact and reviews
- [App Store (iOS) App Metadata, Ratings & Top Charts Lookup](https://apify.com/webdatatools/app-store-lookup) — ratings, price, version and charts per app
- [CrossRef DOI & Citation Metadata Lookup](https://apify.com/webdatatools/crossref-doi-lookup) — papers, authors, journals and citation counts
- [FDA Recalls & Adverse Events Monitor (openFDA)](https://apify.com/webdatatools/openfda-recall-monitor) — food, drug and device recalls from openFDA
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- [Shopify Store Products Scraper](https://apify.com/webdatatools/shopify-products-scraper) — catalog, prices, variants and stock per store
- [Hacker News Search & Front Page Scraper](https://apify.com/webdatatools/hacker-news-scraper) — stories, comments and points by query or front page
- [GitHub Trending Repositories Scraper](https://apify.com/webdatatools/github-trending-scraper) — trending repos and developers by language and period
- [Stack Overflow & Stack Exchange Q\&A Scraper](https://apify.com/webdatatools/stackexchange-scraper) — questions, answers and scores by query, tag or site
- [Bulk Image Downloader](https://apify.com/webdatatools/bulk-image-downloader) — download image URLs to storage with size, dimensions and a ZIP
- [Google Flights Scraper (Prices, Airlines, Stops)](https://apify.com/webdatatools/google-flights-scraper) — flight prices, airlines, times, stops and CO2 by route and date
- [Google Hotels Scraper (Prices, Ratings, Reviews)](https://apify.com/webdatatools/google-hotels-scraper) — hotel prices per night, stars, rating and reviews by city and dates
- [AliExpress Scraper (Search Products & Prices)](https://apify.com/webdatatools/aliexpress-scraper) — AliExpress search results with USD price, discount and rank
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### Support and feedback

Found an article that extracts poorly, or a site whose byline/date format is not recognised? Open an issue on the **Issues** tab.

# Actor input Schema

## `urls` (type: `array`):

Enter the article or blog post URLs to extract, one row is returned per URL, e.g. https://blog.apify.com/best-web-scraping-tools/. Works on news sites, blogs and any page that publishes a Schema.org Article/NewsArticle JSON-LD block, Open Graph tags, or a plain readable body.

## `outputFormat` (type: `string`):

Choose which body format(s) to include in each row. "Markdown" is the smallest and best for LLM/RAG ingestion; "all" returns markdown, text and html together for debugging or comparison.

## `includeImages` (type: `boolean`):

Keep this on to return the mainImage and images fields and keep image references in the markdown/html body. Turn it off for a smaller, text-only dataset.

## `maxConcurrency` (type: `integer`):

Enter how many URLs to fetch in parallel, e.g. 5. Raise this to 10-20 for a long list of URLs on different, fast domains; lower it to 1-2 when reading many articles from the same site to avoid being rate-limited.

## `inputDatasetId` (type: `string`):

Take the items from another Actor run's dataset, e.g. "aBcD1234". Combined with the list above.

## `inputField` (type: `string`):

Column holding the value, e.g. "url" (the default). Array columns are flattened.

## Actor input object example

```json
{
  "urls": [
    "https://blog.apify.com/best-web-scraping-tools/",
    "https://techcrunch.com/",
    "https://www.bbc.com/news"
  ],
  "outputFormat": "markdown",
  "includeImages": true,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `articles` (type: `string`):

All extracted articles — download as JSON, CSV, Excel or HTML.

# 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 = {
    "urls": [
        "https://blog.apify.com/best-web-scraping-tools/",
        "https://techcrunch.com/",
        "https://www.bbc.com/news"
    ],
    "outputFormat": "markdown",
    "includeImages": true,
    "maxConcurrency": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/article-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": [
        "https://blog.apify.com/best-web-scraping-tools/",
        "https://techcrunch.com/",
        "https://www.bbc.com/news",
    ],
    "outputFormat": "markdown",
    "includeImages": True,
    "maxConcurrency": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/article-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "https://blog.apify.com/best-web-scraping-tools/",
    "https://techcrunch.com/",
    "https://www.bbc.com/news"
  ],
  "outputFormat": "markdown",
  "includeImages": true,
  "maxConcurrency": 5
}' |
apify call webdatatools/article-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/article-extractor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/iLkt2raxhx3zUCAQ1/builds/XGYQ3bIh5yY0fgq2G/openapi.json