# RSS Feed Reader with Full Article Text (`x402opklaar/rss-feed-reader`) Actor

Parse RSS/Atom feeds into clean JSON items — and optionally fetch the FULL article text behind each link, not just the summary. Filter by age, cap per feed. Failures are free.

- **URL**: https://apify.com/x402opklaar/rss-feed-reader.md
- **Developed by:** [Opklaar](https://apify.com/x402opklaar) (community)
- **Categories:** News, Automation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 feed parseds

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/actors/running/actors-in-store.md#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 with Full Article Text

Parse any RSS or Atom feed into clean, structured JSON — and optionally follow each item's link to extract the **complete article text**, not just the truncated summary most feeds give you.

- **Any feed**: RSS 2.0, RSS 1.0, Atom — malformed feeds handled gracefully
- **Full-text mode**: each item's link is fetched and the main article body extracted (boilerplate, nav, and ads stripped) — perfect for LLM summarization, monitoring, or archiving
- **Filters**: newest-first cap per feed, "only items newer than N hours" for scheduled monitoring
- **Honest pricing**: unreachable feeds and failed extractions are free

### Input

```json
{
    "feedUrls": ["https://news.ycombinator.com/rss"],
    "maxItemsPerFeed": 20,
    "sinceHours": 24,
    "fullText": true
}
```

### Output (one dataset item per feed entry)

```json
{
    "feed": "https://blog.example.com/rss",
    "feed_title": "Example Blog",
    "title": "We raised a Series B",
    "link": "https://blog.example.com/series-b",
    "published": "Mon, 10 Aug 2026 09:00:00 GMT",
    "published_ts": 1786698000,
    "author": "Jane Doe",
    "summary": "Today we're announcing…",
    "tags": ["funding", "company"],
    "full_text": "Today we're announcing our Series B…",
    "word_count": 1240
}
```

### Pricing

Two events, both only on success:

- `feed-parsed` — once per feed that parses correctly
- `article-fulltext` — once per article whose full text was actually extracted (only when `fullText` is on)

Dead feeds, fetch errors, and pages with no extractable text cost nothing.

### Typical setups

- **News monitoring**: run on an Apify Schedule with `sinceHours` matching your interval → only fresh items, delivered to dataset/webhook
- **LLM digests**: `fullText: true` → pipe complete articles into your summarizer instead of 200-character teasers
- **Content aggregation**: merge dozens of feeds into one clean dataset with consistent fields

### Works with AI agents

Exposed via Apify's MCP server: an agent can ask *"what's new in these feeds since yesterday — with full text"* and get everything in one structured response.

# Actor input Schema

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

RSS or Atom feed URLs to read.

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

Newest-first cap per feed (0 = all items in the feed).

## `sinceHours` (type: `integer`):

Skip items older than this many hours (0 = no age filter). Items without a parsable date are kept.

## `fullText` (type: `boolean`):

Follow each item's link and extract the complete article text (title, text, word count). Charged per successful extraction on top of the per-feed event.

## Actor input object example

```json
{
  "feedUrls": [
    "https://news.ycombinator.com/rss"
  ],
  "maxItemsPerFeed": 20,
  "sinceHours": 0,
  "fullText": false
}
```

# 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("x402opklaar/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("x402opklaar/rss-feed-reader").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://news.ycombinator.com/rss"
  ]
}' |
apify call x402opklaar/rss-feed-reader --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,x402opklaar/rss-feed-reader"
        }
    }
}
```

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/ja0aYhMjHVq9bG1fm/builds/eIctE3hRT7xfeJLvs/openapi.json