# Bing News Scraper - Headlines, Publishers & Dates (`scrapesage/bing-news-scraper`) Actor

Scrape Bing News for headlines with the publisher's real article URL, source name, snippet, publish time and image. Filter by market and freshness. No login needed.

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

## Pricing

$2.00 / 1,000 article scrapeds

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

## Bing News Scraper - Headlines, Publishers & Dates

Scrape **Bing News** for headlines across thousands of publishers — each with the **publisher's real article URL**, source name, snippet, publish time and image. **No login, no API key.**

Built for media monitoring, PR coverage tracking, brand mention alerts and news datasets for AI agents.

***

### No redirect to decode

Unlike Bing web search, news cards carry the publisher's **actual article URL directly** — `bbc.com`, `forbes.com`, `electrek.co` — not a `bing.com/ck/a` redirect. Every row is ready to fetch, cite or crawl. Measured: **30 of 30 articles returned a real publisher URL.**

### What you get

| Field | What it is |
|---|---|
| `title` | Headline |
| `url` | The publisher's real article URL |
| `publisher` | Source name, e.g. "BBC on MSN", "Electrek" |
| `domain` | Publisher hostname |
| `description` | Article snippet |
| `publishedText` | Age as Bing shows it, e.g. `1d`, `3h` |
| `publishedAt` | **Real ISO 8601 timestamp**, converted from that age |
| `imageUrl` | Article thumbnail |
| `rank`, `rankOnPage`, `page` | Position in the results |
| `query`, `market` | What was searched, and where |

### Features

- **Freshness filter** — past day, week or month
- **Market targeting** — `en-US`, `en-GB`, `de-DE`, `fr-FR`…
- **Domain exclusion** — drop aggregators like `msn.com` and keep original publishers
- Roughly **10 articles per page**, with pagination

***

### Example input

```json
{
  "queries": ["artificial intelligence", "electric vehicles"],
  "freshness": "day",
  "excludeDomains": ["msn.com"],
  "maxPagesPerQuery": 3,
  "maxResults": 100,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Example output

```json
{
  "type": "article",
  "title": "Artificial intelligence used to design brand new viruses",
  "url": "https://www.msn.com/en-us/news/technology/artificial-intelligence-used-to-design-brand-new-viruses/ar-AA29xZlR",
  "publisher": "BBC on MSN",
  "domain": "msn.com",
  "description": "Scientists made 16 successful viruses that had their genetic code designed by artificial intelligence.",
  "publishedText": "1d",
  "publishedAt": "2026-08-06T22:13:00.000Z",
  "rank": 1
}
```

***

### Pricing

**$0.002 per article.** You are charged only for rows actually delivered to your dataset.

### Honest limits

- **`publishedAt` is derived from Bing's relative age** (`1d`, `3h`), so it is accurate to the hour or day rather than the minute. Present on ~87% of articles — Bing omits the age on some clustered entries, and it is left null rather than guessed.
- **News coverage is thinner than web search.** A niche topic can genuinely return nothing; when that happens the run costs **$0** and says so rather than blaming the proxy.
- **Advanced operators (`site:`) are not served** on this lane. Use plain topic keywords.
- Use the **residential proxy** (the default). Bing throttles per IP under volume.

### Tips

- Schedule it with `freshness: "day"` and dedupe on `url` to build a rolling coverage dataset.
- Exclude `msn.com` if you want original publishers rather than syndicated copies.
- Group by `publisher` to see who is covering a story, and `publishedAt` to chart when it broke.

### Related actors

- **Bing Search Scraper** — Bing web results with real destination URLs
- **Bing Shopping Scraper** — products, prices and sellers

# Actor input Schema

## `queries` (type: `array`):

What to search Bing News for. Use plain keywords - advanced operators such as site: are not served on this lane.

## `freshness` (type: `string`):

Limit to recent coverage.

## `market` (type: `string`):

Bing market code to localise coverage, e.g. en-US, en-GB, de-DE, fr-FR.

## `requireQueryMatch` (type: `boolean`):

Drop a topic whose first page contains no article mentioning it - nothing stored, nothing billed. Turn off to keep whatever Bing returns.

## `excludeDomains` (type: `array`):

Drop articles from these domains, e.g. msn.com.

## `maxPagesPerQuery` (type: `integer`):

Bing News returns roughly 10 articles per page.

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

Total cap across every topic. Set 0 for no limit (explicit opt-in).

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

Bing throttles per IP under volume, so a residential proxy is recommended.

## Actor input object example

```json
{
  "queries": [
    "artificial intelligence",
    "electric vehicles"
  ],
  "freshness": "",
  "market": "en-GB",
  "requireQueryMatch": true,
  "excludeDomains": [
    "msn.com"
  ],
  "maxPagesPerQuery": 3,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Every scraped article as a JSON item in the default dataset.

# 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 = {
    "queries": [
        "artificial intelligence"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/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 = { "queries": ["artificial intelligence"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/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 '{
  "queries": [
    "artificial intelligence"
  ]
}' |
apify call scrapesage/bing-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/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/D4sTY51DkcRuJ82vI/builds/oK7j0VvRJrUczYR0j/openapi.json