# Get article author and publish date as JSON, no LLM

**Use case:** 

Reads three news articles and returns each one's headline, author and publish date as JSON, taken from the page's own JSON-LD with no LLM, plus the full article as clean Markdown. Swap in any article URLs. Costs $0.001 per page fetched plus $0.005 per page where a field is found, so this preset costs about $0.018 on the Free plan.

## Input

```json
{
  "urls": [
    "https://www.propublica.org/article/3m-forever-chemicals-pfas-pfos-inside-story",
    "https://arstechnica.com/ai/2026/10/google-rolls-out-improved-synthid-ai-content-detector-now-available-globally/",
    "https://arstechnica.com/ai/2026/10/nvidias-big-bet-on-physical-ai-aims-for-safer-robotaxis-humanoid-robots/"
  ],
  "url": "https://en.wikipedia.org/wiki/Markdown",
  "render": false,
  "autoRender": true,
  "includeLinks": false,
  "includeArticleJson": false,
  "maxMarkdownChars": 20000,
  "schema": {
    "properties": {
      "headline": {
        "type": "string"
      },
      "author": {
        "type": "string"
      },
      "datePublished": {
        "type": "string",
        "format": "date"
      }
    }
  },
  "respectRobotsTxt": true,
  "timeoutSecs": 30,
  "userAgent": "Mozilla/5.0 (compatible; AgentFetchBot/1.0; +https://apify.com/omargnagy/agent-fetch-markdown)"
}
```

## Output

```json
{
  "url": {
    "label": "Requested URL",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "extracted": {
    "label": "Extracted values",
    "format": "object"
  },
  "extractedSources": {
    "label": "Extraction sources",
    "format": "object"
  },
  "extractedFieldCount": {
    "label": "Extracted fields",
    "format": "number"
  },
  "status": {
    "label": "Status",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Agent Fetch: URL to Markdown for LLMs and RAG Actor is ready to run with the inputs already set for "Get article author and publish date as JSON, no LLM". [Sign up or log in](https://console.apify.com/create-task-from-example/akcAZ4VJ0sODr6HIG) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Get article author and publish date as JSON, no LLM" task

The Agent Fetch: URL to Markdown for LLMs and RAG Actor will start running based on the input automatically. You can also change all the input fields, like URLs, URL (single page), and more, to match your specific use case.

### 3. Receive the "Get article author and publish date as JSON, no LLM" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as requested url, title, extracted values, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Get article author and publish date as JSON, no LLM" task via API](https://apify.com/omargnagy/agent-fetch-markdown.md).

## About this Actor

This example demonstrates how to use [Agent Fetch: URL to Markdown for LLMs and RAG](https://apify.com/omargnagy/agent-fetch-markdown.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/omargnagy/agent-fetch-markdown.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/omargnagy/agent-fetch-markdown.md

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`).