# News Scraper — Monitor News Articles & Headlines (`oneary/news-scraper`) Actor

Scrape news articles from major publishers. Extract headlines, full content, authors, publish dates, and images for media monitoring.

- **URL**: https://apify.com/oneary/news-scraper.md
- **Developed by:** [Luan M.](https://apify.com/oneary) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 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/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

## News & Monitoring Scraper — Apify Actor

Scrapes news articles from specified sources using **Playwright** (headless browser) and **Crawlee**, with content extraction via **Mozilla Readability**. Supports keyword filtering, deduplication, date range filtering, and optional full-text extraction.

### Features

- **Playwright-powered** — handles JavaScript-rendered pages
- **Smart extraction** — article title, author, date, category, content summary, and optional full text
- **Keyword filtering** — only keep articles matching one or more keywords
- **Date range filtering** — restrict by `dateFrom` / `dateTo`
- **Deduplication** — URL-based dedup within a single run
- **Keyword auto-extraction** — extracts relevant keywords from article content
- **Proxy support** — integrates with Apify proxy for reliable scraping
- **Multiple output formats** — JSON, CSV, or JSON array

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `startUrls` | array | ✅ | — | One or more news article / index URLs to scrape |
| `maxArticles` | integer | ❌ | `100` | Max articles to scrape (`0` = unlimited) |
| `proxyConfiguration` | object | ❌ | Apify proxy on | Proxy settings |
| `keywords` | array | ❌ | `[]` | Case-insensitive keyword whitelist (empty = keep all) |
| `sources` | array | ❌ | `[]` | Descriptive source names (defaults to domain) |
| `dateFrom` | string | ❌ | `""` | ISO date filter (e.g. `"2025-01-01"`) |
| `dateTo` | string | ❌ | `""` | ISO date filter (e.g. `"2025-12-31"`) |
| `includeFullText` | boolean | ❌ | `false` | Extract full article text via Readability |
| `outputFormat` | string | ❌ | `"json"` | `json`, `csv`, or `jsonArray` |

### Output

Each dataset item contains:

| Field | Type | Description |
|-------|------|-------------|
| `title` | string | Article title |
| `url` | string | Source URL |
| `publishedDate` | string (ISO) | null | Detected publish date |
| `author` | string | null | Detected author |
| `contentSummary` | string | First 500 chars or meta description |
| `fullText` | string | null | Full article text (if `includeFullText` enabled) |
| `source` | string | Source name or domain |
| `category` | string | null | Detected category/section |
| `keywords` | array | Auto-extracted keywords |
| `scrapedAt` | string (ISO) | Timestamp of scrape |

### Usage

#### Local development

```bash
npm install
npm start
```

#### Environment variables

- `APIFY_TOKEN` — Apify API token (for proxy & dataset access)

### Technical stack

- **Node.js** (ESM)
- **Crawlee** — crawling & request management
- **Playwright** — headless browser
- **@mozilla/readability** — article extraction
- **jsdom** — DOM parsing for metadata
- **Apify SDK** — proxy, dataset, platform integration

### License

Apache-2.0

# Actor input Schema

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

List of news article or RSS feed URLs to start scraping from. Supports individual article pages and index/section pages.

## `maxArticles` (type: `integer`):

Maximum number of articles to scrape per actor run. Set to 0 for unlimited.

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

Apify proxy configuration for avoiding IP-based blocking.

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

Only keep articles whose title or content contains at least one of these keywords (case-insensitive). Leave empty to keep all articles.

## `sources` (type: `array`):

Optional descriptive names for the sources being scraped (e.g. 'TechCrunch', 'Reuters'). Used to populate the `source` field in results. If empty, the domain name is used.

## `dateFrom` (type: `string`):

Only keep articles published on or after this date (ISO 8601, e.g. '2025-01-01'). Parsed from article metadata where available.

## `dateTo` (type: `string`):

Only keep articles published on or before this date (ISO 8601, e.g. '2025-12-31'). Parsed from article metadata where available.

## `includeFullText` (type: `boolean`):

If true, extract and include the full article text (via Mozilla Readability). If false, only the summary/description is included.

## `outputFormat` (type: `string`):

Format of the output dataset. 'json' produces one JSON object per article. 'csv' produces a CSV file. 'jsonArray' produces a single JSON array.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://news.ycombinator.com/"
    }
  ],
  "maxArticles": 15,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "keywords": [],
  "sources": [],
  "includeFullText": false,
  "outputFormat": "json"
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://news.ycombinator.com/"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    },
    "keywords": [],
    "sources": [],
    "dateFrom": "",
    "dateTo": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("oneary/news-scraper").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 = {
    "startUrls": [{ "url": "https://news.ycombinator.com/" }],
    "proxyConfiguration": { "useApifyProxy": True },
    "keywords": [],
    "sources": [],
    "dateFrom": "",
    "dateTo": "",
}

# Run the Actor and wait for it to finish
run = client.actor("oneary/news-scraper").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 '{
  "startUrls": [
    {
      "url": "https://news.ycombinator.com/"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "keywords": [],
  "sources": [],
  "dateFrom": "",
  "dateTo": ""
}' |
apify call oneary/news-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/wgw2KwV4S9s8seHhK/builds/Zp2zdZLceXfZJU8pW/openapi.json