# RSS Feed Reader — RSS & Atom to Clean JSON (`omao/rss-feed`) Actor

Fetch any RSS or Atom feed and get clean, structured JSON: title, link, author, published date, HTML-stripped summary and tags. One row per entry. Fast, no setup.

- **URL**: https://apify.com/omao/rss-feed.md
- **Developed by:** [Marouane Oulabass](https://apify.com/omao) (community)
- **Categories:** Developer tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.72 / 1,000 feed entries

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## RSS Feed Reader — RSS & Atom to Clean JSON

**Turn any RSS or Atom feed into clean, structured JSON.** Point this reader at one or many feed URLs and get back a tidy row per entry — title, link, author, publish date, an HTML-stripped summary and tags — ready for Sheets, Excel, your database or an API. No parsing, no XML headaches, no setup.

> AI-agent ready: this Actor is callable and payable by AI agents via [x402](https://docs.apify.com/platform/integrations/x402) (USDC on Base), no Apify account required.

RSS is everywhere — news sites, blogs, podcasts, Reddit, YouTube, Hacker News, Google News, job boards, status pages. This actor reads it all and hands you normalized data you can actually use.

### Who uses this

- 📰 **News & content aggregators** — pull dozens of feeds into one clean dataset.
- 🤖 **AI / LLM & RAG pipelines** — feed fresh, clean article summaries to your model.
- 📊 **Monitoring & alerting** — watch blogs, changelogs, CVE feeds or press releases.
- 🔎 **Researchers & marketers** — track topics, competitors and publications over time.
- 🧑‍💻 **Developers** — skip `feedparser` and unreliable XML edge cases; just get JSON.

### What you get — one clean row per entry

| Field | Description |
|---|---|
| `title` | Entry title |
| `link` | Canonical entry URL |
| `author` | Author / creator |
| `published` | Publish date (ISO) |
| `summary` | **HTML-stripped** clean summary text |
| `tags` | Categories / tags |
| `guid` | Stable unique entry id |
| `feedTitle`, `feedUrl` | Source feed |
| `itemRank`, `scrapedAt` | Provenance |

### Example

**Input**

```json
{ "feedUrls": ["https://hnrss.org/frontpage", "https://www.reddit.com/r/python/.rss"], "maxItemsPerFeed": 50 }
```

**Output (one item)**

```json
{
  "feedTitle": "Hacker News: Front Page",
  "title": "Show HN: I built a clean RSS-to-JSON reader",
  "link": "https://news.ycombinator.com/item?id=12345678",
  "author": "pg",
  "published": "2026-07-13T08:30:00+00:00",
  "summary": "A fast, no-setup way to turn any feed into structured JSON...",
  "tags": ["show"],
  "guid": "https://news.ycombinator.com/item?id=12345678"
}
```

### Why this reader

- ✅ **RSS *and* Atom** — handles both formats and messy real-world feeds.
- 🧹 **Clean output** — HTML stripped from summaries, dates normalized to ISO.
- 🌐 **Many feeds at once** — pass a list, get one combined dataset.
- ⚡ **Fast & affordable** — pay only per entry returned.
- 🔁 **Great for automation** — schedule it and diff runs to catch only new entries.

### Input options

- `feedUrls` *(required)* — one or more RSS/Atom URLs (`https://` added if missing).
- `maxItemsPerFeed` — cap entries per feed. Leave empty for all.

### FAQ

**Does it support Atom feeds too?** Yes — RSS 2.0 and Atom are both supported.

**Can I read many feeds in one run?** Yes — pass a list of URLs; results are merged into one dataset with `feedUrl`/`feedTitle` on every row.

**Is the summary clean?** Yes — HTML tags are stripped so you get readable text.

**How fresh is the data?** Live — it fetches each feed in real time on every run.

**Can I export to CSV/Excel/Google Sheets?** Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API.

**What does it cost?** Pay-per-entry — you're only charged for entries actually returned.

***

*Tip: schedule this daily on your favorite feeds and diff `guid`s to build a clean, deduplicated news database.*

# Actor input Schema

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

RSS or Atom feed URLs to fetch and normalize (https:// added if missing).

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

Cap the number of entries returned per feed. Leave empty for all.

## `healthCheckMode` (type: `boolean`):

Internal monitoring: fetch a canary feed and FAIL if broken (no billing).

## Actor input object example

```json
{
  "feedUrls": [
    "https://hnrss.org/frontpage",
    "https://www.reddit.com/r/python/.rss"
  ],
  "healthCheckMode": false
}
```

# Actor output Schema

## `entries` (type: `string`):

All feed entries (title, link, author, published date, summary, tags).

# 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://hnrss.org/frontpage"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("omao/rss-feed").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://hnrss.org/frontpage"] }

# Run the Actor and wait for it to finish
run = client.actor("omao/rss-feed").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://hnrss.org/frontpage"
  ]
}' |
apify call omao/rss-feed --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/IQJ8ibHQoLCIgZEBx/builds/xFljkFhCJJUN9Sxwd/openapi.json