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

Scrapes news articles from Bing News search. Extracts title, URL, source/publisher, snippet, thumbnail, category, publication date, and more.

- **URL**: https://apify.com/codingfrontend/bing-news-scraper.md
- **Developed by:** [Coding Frontned](https://apify.com/codingfrontend) (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 $4.99 / 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

Collect source-backed article cards from the public Bing News search experience in an ordinary Chrome session. The actor does not mask browser automation, call private APIs, solve challenges, or bypass access controls.

### Input

```json
{
  "query": "artificial intelligence",
  "maxItems": 20,
  "maxPages": 3,
  "scrollRounds": 3,
  "sortBy": "date",
  "timeRange": "week",
  "proxyConfiguration": { "useApifyProxy": false }
}
```

`query` is required and limited to 200 characters. Runs are bounded to 1–100 records, 1–5 result pages, 0–10 scroll rounds per page, and 0–2 request retries. Supported sort values are `date` and `relevance`; time ranges are `any`, `day`, `week`, and `month`. Direct access is the default. A requested but unusable proxy fails explicitly.

### Output

Each record includes a stable ID, canonical article URL, title, observed card metadata, query/filter context, and complete extraction provenance. `publishedAt` appears only when Bing exposes a parseable timestamp; relative display text remains in `publishedText` and is never converted into a fabricated exact time.

`OUTPUT_SUMMARY` records status, result and page counts, filters, proxy use, failures, and runtime. Empty, challenged, or incomplete runs fail explicitly.

### Limits and responsible use

Bing may change public markup, ranking, filters, redirects, and regional results. Publisher pages may be paywalled and copyright remains with the publisher. This actor returns search-result metadata and links, not article bodies. Use it in accordance with Bing and publisher terms and applicable law.

# Actor input Schema

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

The news search query.

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

Maximum number of news articles to scrape.

## `maxPages` (type: `integer`):

Maximum Bing result pages to visit.

## `scrollRounds` (type: `integer`):

Maximum bounded scroll attempts on each result page.

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

Retries after ordinary request failures; challenges are never bypassed.

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

Sort news results by date or relevance.

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

Filter news by how recent they are.

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

Optional Apify or custom proxy. Direct access is the default.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "maxItems": 20,
  "maxPages": 3,
  "scrollRounds": 3,
  "maxRequestRetries": 1,
  "sortBy": "date",
  "timeRange": "any",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `keyValueStore` (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 = {
    "query": "artificial intelligence",
    "maxItems": 20,
    "sortBy": "date",
    "timeRange": "any"
};

// Run the Actor and wait for it to finish
const run = await client.actor("codingfrontend/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": 20,
    "sortBy": "date",
    "timeRange": "any",
}

# Run the Actor and wait for it to finish
run = client.actor("codingfrontend/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": 20,
  "sortBy": "date",
  "timeRange": "any"
}' |
apify call codingfrontend/bing-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,codingfrontend/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/d2YfoaeeLWyc2Rjoh/builds/tw0zu48DgfHw3dSyE/openapi.json