# In Depth News Scraper (`sync-network/in-depth-news-scraper`) Actor

Extract full length articles from top news sources, streamlining the collection of the latest updates on any subject. Its key feature is retrieving complete content—not just headlines. Customise your output from concise summaries to complete articles, transforming your news gathering process.

- **URL**: https://apify.com/sync-network/in-depth-news-scraper.md
- **Developed by:** [Alam](https://apify.com/sync-network) (community)
- **Categories:** News, Integrations, Automation
- **Stats:** 14 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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/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

## In Depth News Scraper

Extract full-length articles from top news sources — not just headlines. Get the complete article content, author, publish date, and metadata for any topic.

### Features

- 📰 **Full article content** — Complete article text, not just headlines or summaries
- 🔍 **Topic-based search** — Search any topic across Google News sources
- 📊 **Rich metadata** — Title, author, publish date, source, full text, images
- 🌍 **Multiple regions** — Configure news region and language
- ⚡ **Configurable depth** — Choose between summaries or complete articles
- 📋 **Clean output** — Structured JSON ready for AI/ML pipelines

### Input Parameters

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `query` | string | **required** | News topic to search (e.g., "artificial intelligence") |
| `maxArticles` | integer | `10` | Maximum articles to scrape |
| `region` | string | `us` | News region |
| `language` | string | `en` | Article language |
| `includeFullText` | boolean | `true` | Extract complete article body text |
| `daysBack` | integer | `7` | How many days of news to search |

### Output Example

```json
{
    "title": "OpenAI Announces GPT-5 with Breakthrough Reasoning",
    "source": "TechCrunch",
    "author": "Jane Smith",
    "publishDate": "2026-03-14",
    "url": "https://techcrunch.com/2026/03/14/...",
    "fullText": "OpenAI today announced GPT-5, featuring...",
    "summary": "OpenAI's latest model shows significant improvements...",
    "imageUrl": "https://...",
    "scrapedAt": "2026-03-14T15:30:00.000Z"
}
```

### Use Cases

- **Content aggregation** — Build news feeds or newsletters on any topic
- **Media monitoring** — Track news coverage for brands, topics, or keywords
- **AI/ML training** — Collect article datasets for model training
- **Research** — Gather full-text articles for academic or market research
- **SEO monitoring** — Track news mentions and coverage
- **Sentiment analysis** — Feed structured article data into NLP pipelines

### Pricing

**$5.00 per 1,000 results** — Full article content extraction from multiple sources.

# Actor input Schema

## `newsCategory` (type: `string`):

Select a news category to filter articles (this is mandatory)

## `additionalKeywords` (type: `string`):

Optional keywords to narrow down your search further

## `numberOfItems` (type: `integer`):

The number of news items to fetch (default: 1, maximum: 100)

## `filterBadKeywords` (type: `array`):

List of keywords to filter out from results

## `contentLength` (type: `string`):

Choose whether to extract the full article content or just a summary

## `timeRange` (type: `string`):

Time range for news articles

## `retrieveImage` (type: `boolean`):

Whether to retrieve image URLs for articles (may slow down the actor)

## Actor input object example

```json
{
  "newsCategory": "World",
  "additionalKeywords": "",
  "numberOfItems": 1,
  "contentLength": "Full",
  "timeRange": "Any time",
  "retrieveImage": false
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("sync-network/in-depth-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("sync-network/in-depth-news-scraper").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 '{}' |
apify call sync-network/in-depth-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sync-network/in-depth-news-scraper"
        }
    }
}
```

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/3TZpXF8JCIV9k4O2R/builds/V24QVcaJKCF65S3Dm/openapi.json