# RSS & Atom Feed Parser to JSON (`hipersoft/rss-feed-parser`) Actor

Parse any RSS or Atom feed into clean structured data: item title, link, summary, author, publish date, categories and feed title. Read many feeds at once. Great for news monitoring, content aggregation and automation. One row per item as JSON, CSV or Excel.

- **URL**: https://apify.com/hipersoft/rss-feed-parser.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0001 / item parsed

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## RSS & Atom Feed Parser to JSON

Turn any **RSS or Atom feed** into clean, structured data with the **RSS & Atom Feed Parser**. Pass a list of feed URLs and export every item's **title, link, summary, author, publish date and categories** — one clean row per item as **JSON, CSV or Excel**.

Built for **news monitoring, content aggregation, newsletters, competitive intelligence and automation pipelines** (n8n, Make, Zapier), it reads messy XML feeds and hands you tidy JSON with no code.

### What it does

- 📰 **Any feed format** — RSS 2.0, RSS 1.0 / RDF and Atom, auto-detected.
- 🔗 **Clean item fields** — title, link, summary, author, publish date, categories and GUID.
- 📚 **Many feeds at once** — read a whole list of feeds in a single run.
- 🎛️ **Caps** — limit items per feed and total items.
- 🧹 **Tidy output** — HTML stripped from summaries; consistent fields across feed types.
- 📤 **Export anywhere** — JSON, CSV or Excel, or straight into a database, sheet or workflow.

### Example output

```json
{
  "feedTitle": "Hacker News: Front Page",
  "feedType": "rss",
  "title": "A tiny family of decision models",
  "link": "https://github.com/example/project",
  "author": null,
  "published": "Mon, 21 Sep 2026 07:11:55 +0000",
  "categories": []
}
```

### How to use it

1. Add one or more **feed URLs**.
2. Optionally set **max items per feed** and a **total cap**.
3. Run, and download the results as **JSON, CSV or Excel**.

### Input fields

| Field | Description |
|-------|-------------|
| **Feed URLs** | RSS or Atom feed URLs to parse. |
| **Max items per feed** | Cap items from each feed (0 = all). |
| **Max items (total)** | Maximum total items across all feeds (0 = no limit). |

### Output fields

`feedUrl`, `feedTitle`, `feedType`, `title`, `link`, `summary`, `author`, `published`, `categories`, `guid`.

### Popular use cases

- **News monitoring** — track headlines from many outlets in one dataset.
- **Content aggregation** — build a combined feed for a site or newsletter.
- **Competitive intelligence** — watch competitor blogs and press feeds.
- **Automation** — a feed-reading step inside an n8n, Make or Zapier workflow.
- **Research & archiving** — collect and store feed items over time.

### FAQ

**Do I need an account or key?**
No. Add feed URLs and run.

**Which feed formats are supported?**
RSS 2.0, RSS 1.0 / RDF and Atom — the format is detected automatically.

**Can I read many feeds in one run?**
Yes — add a list of feed URLs and each is parsed independently, tagged with its feed title.

**Can I export to Excel or Google Sheets?**
Yes — results download as JSON, CSV or Excel and integrate with Sheets, databases and automation tools.

***

Parse **RSS & Atom feeds** into clean JSON — title, link, author, date and categories — ready for monitoring, aggregation and automation.

# Actor input Schema

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

RSS or Atom feed URLs to parse — e.g. 'https://hnrss.org/frontpage', 'http://feeds.bbci.co.uk/news/rss.xml'. Each is read independently.

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

Cap items taken from each feed (0 = all items in the feed).

## `maxItems` (type: `integer`):

Maximum total items across all feeds (0 = no limit).

## Actor input object example

```json
{
  "feedUrls": [
    "https://hnrss.org/frontpage"
  ],
  "maxItemsPerFeed": 0,
  "maxItems": 0
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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("hipersoft/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://hnrss.org/frontpage"] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/rss-feed-parser").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 hipersoft/rss-feed-parser --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/rss-feed-parser"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ot5mOZ5fRdKUWk48L/builds/c4CuYcAkYAHLQUkSD/openapi.json