# Universal RSS/Atom Feed Reader (`blazing_stake/rss-feed-reader`) Actor

Parse any RSS or Atom feed into clean JSON: title, link, author, date, categories, content, media. Handles both formats. For content monitoring and aggregation.

- **URL**: https://apify.com/blazing\_stake/rss-feed-reader.md
- **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 1,000 feed items

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

## Universal RSS/Atom Feed Reader

Parse **any RSS or Atom feed** into clean structured JSON — title, link, author, date, categories, content, and media enclosures. Handles both formats automatically, even when servers send the wrong content-type. No API key.

### 🎯 What it does

- Reads **RSS 2.0** and **Atom** feeds (auto-detected)
- Extracts: title, link, author, publish date, summary, full content (HTML), categories/tags
- Captures **media enclosures** (podcast audio, images)
- Feed-level metadata (feed title + description)
- Handles blogs, news sites, podcasts, YouTube channel feeds, Reddit, GitHub releases, and more

### 💡 Use cases

- **Content aggregation** — combine many feeds into one dataset
- **Blog / news monitoring** — track new posts from sources you follow
- **Podcast indexing** — extract episodes + audio URLs
- **Newsletter automation** — build digests on a schedule
- **RSS-to-anything pipelines** — feed into databases, Slack, LLMs
- **Competitive monitoring** — watch competitors' blogs

### 📥 Input

| Field | Type | Description |
|-------|------|-------------|
| `feedUrls` | array | RSS/Atom feed URLs to parse |
| `maxItemsPerFeed` | integer | Max items per feed (default 100) |
| `maxConcurrency` | integer | Feeds parsed in parallel (default 10) |

#### Example input

```json
{
  "feedUrls": [
    "https://news.ycombinator.com/rss",
    "https://feeds.bbci.co.uk/news/technology/rss.xml"
  ],
  "maxItemsPerFeed": 100
}
```

### 📤 Output

```json
{
  "feedTitle": "BBC News",
  "title": "Google must pay €4.1bn fine",
  "link": "https://www.bbc.com/news/...",
  "author": "BBC",
  "publishedAt": "Mon, 06 Jul 2026 09:00:00 GMT",
  "summary": "...",
  "categories": ["Technology"],
  "media": { "url": "...", "type": "audio/mpeg" },
  "format": "rss"
}
```

### ⚡ Performance

HTTP-based XML parsing — no browser, no API key. Parses many feeds in parallel, each in ~0.5s. Robust fallback handles feeds served with incorrect content-types.

### 🔗 Tip

Run on a schedule to build a continuous content-monitoring pipeline. Pair with the Currency or News scrapers for a full data-automation stack.

# Actor input Schema

## `feedUrls` (type: `array`):

RSS or Atom feed URLs to parse. Works with blogs, podcasts, news sites, YouTube channel feeds, and more.

## `maxItemsPerFeed` (type: `integer`):

Maximum number of items to extract from each feed.

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

Number of feeds parsed in parallel.

## Actor input object example

```json
{
  "feedUrls": [
    "https://example.com/feed.xml",
    "https://example.com/atom.xml"
  ],
  "maxItemsPerFeed": 100,
  "maxConcurrency": 10
}
```

# Actor output Schema

## `results` (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 = {
    "feedUrls": [
        "https://news.ycombinator.com/rss"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("blazing_stake/rss-feed-reader").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 = { "feedUrls": ["https://news.ycombinator.com/rss"] }

# Run the Actor and wait for it to finish
run = client.actor("blazing_stake/rss-feed-reader").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 '{
  "feedUrls": [
    "https://news.ycombinator.com/rss"
  ]
}' |
apify call blazing_stake/rss-feed-reader --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=blazing_stake/rss-feed-reader",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/qDEQgjQJTdwEtuEGp/builds/5DMdkTf8gQr2pRTUC/openapi.json