# RSS feed to clean Markdown articles

**Use case:** 

Reads an RSS or Atom feed and returns each article as clean text and Markdown with title, authors, dates and top image, ready for an LLM or a newsletter.

## Input

```json
{
  "urls": [
    "https://techcrunch.com/2026/09/23/meta-introduces-camera-free-ai-glasses/",
    "https://blog.cloudflare.com/vary-support/"
  ],
  "feedUrls": [
    "https://blog.cloudflare.com/rss/"
  ],
  "maxArticlesPerFeed": 3,
  "onlyNew": false,
  "monitorName": "default",
  "onlyArticles": false,
  "outputMarkdown": true,
  "includeHtml": false,
  "newspaper3kFields": false,
  "minWords": 50,
  "maxConcurrency": 10,
  "timeoutSecs": 20,
  "retryBlockedWithProxy": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "authors": {
    "label": "Authors",
    "format": "array"
  },
  "publishDate": {
    "label": "Publish date",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## How it works

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

The Article Extractor & Scraper: URL to Text & Markdown — Inkpluck Actor is ready to run with the inputs already set for "RSS feed to clean Markdown articles". [Sign up or log in](https://console.apify.com/create-task-from-example/Ee65tPCUI8LNOdxVJ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "RSS feed to clean Markdown articles" task

The Article Extractor & Scraper: URL to Text & Markdown — Inkpluck Actor will start running based on the input automatically. You can also change all the input fields, like article urls, RSS/Atom feeds to watch, and more, to match your specific use case.

### 3. Receive the "RSS feed to clean Markdown articles" 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 title, authors, publish date, 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 "RSS feed to clean Markdown articles" task via API](https://apify.com/cybermax/article-extract.md).

## About this Actor

This example demonstrates how to use [Article Extractor & Scraper: URL to Text & Markdown — Inkpluck](https://apify.com/cybermax/article-extract.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/cybermax/article-extract.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/cybermax/article-extract.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`).