# Query RSS Feeds (`xiaopanai/apify-rss-search`) Actor

Run keyword queries on custom list of RSS feeds to find the contents that you want. Uses fuzzy logic to match the query to the contents and also applies a recency adjustment (higher penalty for older entries).

- **URL**: https://apify.com/xiaopanai/apify-rss-search.md
- **Developed by:** [Xiaopan AI](https://apify.com/xiaopanai) (community)
- **Categories:** News, Automation, Integrations
- **Features:** Full permissions
- **Stats:** 195 total users, 2 monthly users, 100.0% runs succeeded, 10 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/actors/running/actors-in-store.md#pay-per-usage

## 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

## Apify-RSS-Search

Perform a fuzzy matching of a search term across one or multiple RSS feeds

# Actor input Schema

## `query` (type: `string`):

A search string to match against the RSS feed items

## `feeds` (type: `array`):

List of RSS Feed URLs to search from

## `top_n` (type: `integer`):

Number of top matches to return

## `recency_exponent` (type: `integer`):

Exponent to apply to recency adjustment of the relevancy score. 0 means no recency adjustment, higher exponent applies heavier penalty for older items.

## Actor input object example

```json
{
  "query": "query string",
  "feeds": [
    "http://example.com/rss.xml"
  ],
  "top_n": 10,
  "recency_exponent": 1
}
```

# 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 = {
    "query": "AI artificial intelligence",
    "feeds": [
        "http://feeds.bbci.co.uk/news/technology/rss.xml"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("xiaopanai/apify-rss-search").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 = {
    "query": "AI artificial intelligence",
    "feeds": ["http://feeds.bbci.co.uk/news/technology/rss.xml"],
}

# Run the Actor and wait for it to finish
run = client.actor("xiaopanai/apify-rss-search").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 '{
  "query": "AI artificial intelligence",
  "feeds": [
    "http://feeds.bbci.co.uk/news/technology/rss.xml"
  ]
}' |
apify call xiaopanai/apify-rss-search --silent --output-dataset

```

## MCP server setup

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

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/uNMHGOGRawDYkIXmg/builds/WDd3pu1Wa98GJ1mcJ/openapi.json