# Multi-site article text and metadata dataset

**Use case:** 

Normalize editorial, institutional, and reference articles into one typed dataset for content analysis, indexing, or spreadsheet export.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://developer.mozilla.org/en-US/blog/learn-javascript-console-methods/"
    },
    {
      "url": "https://www.nasa.gov/news-release/nasa-sets-coverage-for-spacex-33rd-station-resupply-launch-arrival/"
    },
    {
      "url": "https://en.wikipedia.org/wiki/Web_scraping"
    }
  ],
  "maxItems": 3,
  "maxConcurrency": 3,
  "requestTimeoutSecs": 45,
  "maxRequestRetries": 3,
  "maxContentBytes": 3000000
}
```

## Output

```json
{
  "url": {
    "label": "Input URL",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "canonicalUrl": {
    "label": "Canonical URL",
    "format": "string"
  },
  "siteName": {
    "label": "Site",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "wordCount": {
    "label": "Words",
    "format": "integer"
  },
  "readingTimeMinutes": {
    "label": "Reading time",
    "format": "integer"
  },
  "leadImageUrl": {
    "label": "Lead image",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Article Content Scraper](https://apify.com/automation-lab/multi-site-article-content-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/multi-site-article-content-extractor.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/multi-site-article-content-extractor.md

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).