# RSS & Atom Feed Parser — Feeds to JSON (Free) (`fit_melon/rss-feed-parser`) Actor

Fetch and parse any RSS 2.0, Atom or RDF feed into clean JSON: title, link, ISO date, author, categories, full content and image. Monitor news and blogs at scale. Free — you only pay your Apify usage.

- **URL**: https://apify.com/fit\_melon/rss-feed-parser.md
- **Developed by:** [D N](https://apify.com/fit_melon) (community)
- **Categories:** News, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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

## RSS & Atom Feed Parser — Feeds to JSON (Free)

Fetch and parse any **RSS 2.0, Atom 1.0 or RSS 1.0 (RDF)** feed into clean, structured JSON: title, link, description, full HTML content, publication date (normalized to ISO 8601), author, categories, GUID and lead image. Handles CDATA, HTML entities, `content:encoded`, `dc:creator`, `media:content` and enclosures. This actor is **free** — you only pay your own Apify platform usage.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `feedUrls` | array | — | One feed URL per line. |
| `maxItemsPerFeed` | integer | 50 | Max articles extracted per feed (1–1000). |
| `includeContent` | boolean | true | Include full HTML content when the feed provides it. |

### Output

One dataset item per article:

```json
{
    "feedUrl": "https://feeds.bbci.co.uk/news/rss.xml",
    "feedTitle": "BBC News",
    "feedType": "rss",
    "status": "found",
    "title": "Example headline",
    "link": "https://www.bbc.co.uk/news/articles/xyz",
    "description": "Short summary of the article...",
    "content": "<p>Full HTML content when provided...</p>",
    "publishedAt": "2026-07-11T08:15:00.000Z",
    "author": "BBC Newsroom",
    "categories": ["World"],
    "guid": "https://www.bbc.co.uk/news/articles/xyz#0",
    "imageUrl": "https://ichef.bbci.co.uk/....jpg"
}
```

Feeds that fail to load push a single `status: "error"` item with the message; feeds with no items push `status: "not_found"`. One bad feed never crashes the run.

### Use cases

- Monitor dozens of news sources or competitor blogs on a schedule.
- Aggregate content for newsletters, dashboards or content pipelines.
- Feed LLM/RAG systems with fresh, structured articles.
- Archive feeds into datasets exportable as JSON, CSV or Excel.

### Limitations & fair use

- The feed must be publicly accessible (no cookies/auth).
- JavaScript-generated "feeds" are not supported — this parses real XML feeds.
- Be considerate with scheduling frequency toward small publishers.

### More actors by this developer

Browse the full range of free data actors at [apify.com/fit\_melon](https://apify.com/fit_melon) — news, SEO tools, open-data lookups and more.

# Actor input Schema

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

One feed URL per line. RSS 2.0, Atom 1.0 and RSS 1.0 (RDF) are supported.

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

Maximum number of articles extracted from each feed.

## `includeContent` (type: `boolean`):

Include the full HTML content of each item (content:encoded / atom content) when the feed provides it.

## Actor input object example

```json
{
  "feedUrls": [
    "https://feeds.bbci.co.uk/news/rss.xml"
  ],
  "maxItemsPerFeed": 50,
  "includeContent": true
}
```

# 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://feeds.bbci.co.uk/news/rss.xml"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fit_melon/rss-feed-parser").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://feeds.bbci.co.uk/news/rss.xml"] }

# Run the Actor and wait for it to finish
run = client.actor("fit_melon/rss-feed-parser").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://feeds.bbci.co.uk/news/rss.xml"
  ]
}' |
apify call fit_melon/rss-feed-parser --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/dnLrLn3eOsfRgMrXt/builds/LwS1voBz1nH8K5DHh/openapi.json