# News Keyword Monitor (`yearly_register/news-keyword-monitor`) Actor

Monitor public news sources for keyword-matched articles and updates, producing structured records for alerts, research, and scheduled digests.

- **URL**: https://apify.com/yearly\_register/news-keyword-monitor.md
- **Developed by:** [Automation Tech](https://apify.com/yearly_register) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 news results

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?

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

## News Keyword Monitor

News Keyword Monitor filters public RSS and Atom feeds by literal keywords and emits stable news-item records that are suitable for scheduled alerts and downstream automation. It is a lightweight option when you already know which feeds matter and want deterministic keyword matching without a separate news-monitoring service.

### What it does

The Actor reads configured public RSS or Atom feeds, evaluates feed items against the supplied keyword rules, normalizes matching entries, and writes them to the default Apify dataset. Stable item records make the output easier to process repeatedly in monitoring workflows.

Typical use cases include:

- monitoring company, product, or competitor mentions;
- tracking a topic across selected industry feeds;
- building simple scheduled news alerts;
- feeding matching articles into research or summarization workflows;
- collecting structured feed data for later analysis.

### Quick start

1. Add one or more public RSS or Atom feed URLs to the Actor input.
2. Add the literal keywords you want to monitor.
3. Start with conservative result and request limits.
4. Run the Actor and inspect the default dataset.
5. Confirm that the matches reflect the keyword rules you intended.
6. Once verified, schedule the Actor or trigger it through the Apify API.

The Input tab also contains shared crawler controls such as retries, concurrency, request limits, timeouts, and proxy configuration, together with the Actor-specific feed filtering options.

### Output

Each emitted dataset item represents a normalized matching feed entry together with source and scrape metadata. The Actor dataset schema defines the exact output fields and types. Results can be exported as JSON, CSV, or Excel or consumed programmatically through the Apify dataset API.

### Scheduling and integrations

This Actor is especially useful on a schedule. Run it at an interval appropriate for the feeds you monitor, then connect results to webhooks, Make, Zapier, notification services, databases, or other Actors.

### Limitations

The Actor depends on the quality and availability of the public feed supplied by the publisher. A feed may expose only a subset of articles, shortened text, or delayed updates. Literal keyword matching is intentionally predictable and is not a semantic classifier. Feed formats and endpoints can also change upstream.

### Pricing

See the Actor's Apify Store **Pricing** tab for the active pricing model and current rates. Platform usage depends mainly on feed count, request frequency, and run schedule. Test a representative set of feeds before configuring high-frequency recurring runs.

# Actor input Schema

## `startUrls` (type: `array`):

List of URLs to start scraping from

## `maxResults` (type: `integer`):

Maximum number of results to scrape

## `maxRequests` (type: `integer`):

Maximum number of requests to process

## `maxConcurrency` (type: `integer`):

Maximum number of concurrent requests

## `maxRequestRetries` (type: `integer`):

Maximum number of retries for failed requests

## `maxRequestsPerMinute` (type: `integer`):

Maximum requests per minute

## `requestTimeoutSecs` (type: `integer`):

Request timeout in seconds

## `proxyConfiguration` (type: `object`):

Proxy configuration for requests

## `debug` (type: `boolean`):

Enable debug logging

## `keywords` (type: `array`):

Trimmed literal terms; duplicates are case-insensitive unless caseSensitive is true. Empty emits all items.

## `matchMode` (type: `string`):

Require at least one keyword or all configured keywords.

## `caseSensitive` (type: `boolean`):

Match and validate duplicate keywords with exact letter case.

## `matchFields` (type: `array`):

Item fields searched for literal keywords.

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

Maximum titled items inspected per feed, before keyword filtering.

## `includeSummary` (type: `boolean`):

Include summary text in output. Full content is always hashed and searched.

## `maxSummaryLength` (type: `integer`):

Only caps output; matching and hashing use the full summary.

## Actor input object example

```json
{
  "startUrls": [],
  "maxResults": 1000,
  "maxRequests": 10000,
  "maxConcurrency": 10,
  "maxRequestRetries": 3,
  "maxRequestsPerMinute": 60,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "debug": false,
  "keywords": [],
  "matchMode": "any",
  "caseSensitive": false,
  "matchFields": [
    "title",
    "summary"
  ],
  "maxItemsPerFeed": 100,
  "includeSummary": true,
  "maxSummaryLength": 10000
}
```

# 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 = {
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("yearly_register/news-keyword-monitor").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 = { "proxyConfiguration": { "useApifyProxy": False } }

# Run the Actor and wait for it to finish
run = client.actor("yearly_register/news-keyword-monitor").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 '{
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call yearly_register/news-keyword-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,yearly_register/news-keyword-monitor"
        }
    }
}
```

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/iftRiIRkQCkGhvPU0/builds/ue685khKvJtqdpLmK/openapi.json