# Bing News Scraper (`scrapeai/bing-news-scraper`) Actor

Extract Bing News search results with detailed article metadata such as headline, direct URL, publisher name, summary snippet, thumbnail image, topic category, and publication timestamp.

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

## Pricing

from $1.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Bing News Scraper

Extract Bing News search results with detailed article metadata such as headline, direct URL, publisher name, summary snippet, thumbnail image, topic category, and publication timestamp.

### Features

- **Keyword search** — find news articles by topic, brand, person, or event
- **Article extraction** — collect title, URL, snippet, source/publisher, and publication date
- **Thumbnail support** — extract article preview images when available
- **Category detection** — capture article categories such as business, sports, tech, entertainment, and more
- **Time filtering** — narrow results by latest news, past 24 hours, week, or month
- **Automatic pagination** — collect news across multiple result pages
- **Structured JSON output** — clean, machine-readable data for analytics and monitoring
- **Cloud-ready** — runs on Apify with scheduling, proxy rotation, dataset storage, API access, and webhook support

### Extracted Data

- **Title** — news headline
- **URL** — direct article link
- **Source / Publisher** — news outlet name
- **Snippet** — article preview text
- **Thumbnail** — preview image URL
- **Category** — article topic classification
- **Publication date** — article publish timestamp
- **Ranking position** — result order in Bing News

### Use Cases

- News aggregation platforms
- Brand mention tracking and PR monitoring
- Competitor news intelligence
- Market trend analysis
- Event monitoring and alerts
- Building structured news datasets for research or AI training

### Input

| Field | Type | Default | Required | Description |
|-------|------|---------|----------|-------------|
| `query` | string | `—` | ✓ | The news search query. |
| `maxItems` | integer | `50` |  | Maximum number of news articles to scrape. |
| `sortBy` | string | `date` |  | Sort news results by date or relevance. Options: `date`, `relevance` |
| `timeRange` | string | `any` |  | Filter news by how recent they are. Options: `any`, `day`, `week`, `month` |
| `proxyConfiguration` | object | Apify Residential |  | Proxy settings. Residential proxy is strongly recommended |

#### Example Output

```json
{
	"position": 1,
	"title": "Artificial Intelligence News Live: New study ranks generative AI models on user privacy protections",
	"url": "https://www.moneycontrol.com/world/artificial-intelligence-news-live-updates-25-06-2025-alpha-liveblog-13173840.html",
	"source": "source_value",
	"snippet": "Welcome to our live blog tracking the latest developments in Artificial Intelligence. Stay updated with real-time insights ...",
	"thumbnail": "https://th.bing.com/th?id=ONUT.sRbsDRPvnoeKmad5QJpvfA&pid=News&w=234&h=132&c=14&rs=2&qlt=90",
	"category": "category_value",
	"isBreaking": "isBreaking_value",
	"relatedCount": "relatedCount_value",
	"isPaywall": "isPaywall_value",
	"publishedAt": "2026-06-22T08:15:35.396Z",
	"query": "artificial intelligence",
	"scrapedAt": "2026-06-22T08:27:35.408Z"
}
```

# Actor input Schema

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

The news search query.

## `maxItems` (type: `integer`):

Maximum number of news articles to scrape.

## `sortBy` (type: `string`):

Sort news results by date or relevance.

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

Filter news by how recent they are.

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

Select proxies to be used by the scraper.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "maxItems": 10,
  "sortBy": "date",
  "timeRange": "any",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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": "artificial intelligence",
    "maxItems": 10,
    "sortBy": "date",
    "timeRange": "any",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/bing-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 = {
    "query": "artificial intelligence",
    "maxItems": 10,
    "sortBy": "date",
    "timeRange": "any",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/bing-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 '{
  "query": "artificial intelligence",
  "maxItems": 10,
  "sortBy": "date",
  "timeRange": "any",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapeai/bing-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeai/bing-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/V1fg4yAXoupTwTJoB/builds/KboS2uIsGgktThuYi/openapi.json