# Bing Shopping Scraper (`searchapi/bing-shopping-scraper`) Actor

Scrapes product listings from Bing Shopping. Extracts title, price, original price, discount, merchant, rating, review count, condition, shipping info, and more.

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

## Pricing

from $1.99 / 1,000 search 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 Shopping Scraper

Search Bing Shopping with one or more product queries and collect source-backed product cards. The Actor supports Bing's public market, sorting, price-filter, and pagination parameters, exact Bing Shopping URL mode, fair query batching, sessions, consistent browser fingerprints, and optional authorized proxies.

### Inputs

- `mode`: `search` or `url`.
- `query`: the primary product search.
- `queries`: optional additional searches. Duplicate and blank values are removed.
- `startUrls`: public `https://www.bing.com/shop` URLs for URL mode.
- `market`: a Bing language-country market such as `en-US`.
- `sortBy`: relevance, ascending price, descending price, or rating.
- `minPrice` and `maxPrice`: price bounds sent to Bing and enforced again on normalized output.
- `maxItems`: overall dataset limit.
- `maxItemsPerQuery`: per-query cap. Batch records are interleaved fairly.
- `maxPages`, `maxConcurrency`, retry controls, and timeouts.
- `proxyConfiguration`: Apify Proxy or authorized custom proxy URLs. Proxy-disabled mode is supported.

### Output

Every record has stable identity and search context fields, including `id`, `productId`, `title`, `productUrl`, `price`, `priceNumeric`, `currency`, `position`, `globalPosition`, `queryPosition`, `page`, `searchQuery`, `searchUrl`, `market`, `country`, `language`, `sortBy`, `source`, `extractionMethod`, and `scrapedAt`.

When Bing displays them, records also include multiple image URLs and dimensions, original price and discount, merchant and logo, rating and review count, offer count, shipping information, stock/condition, badges, and sponsorship flags. Unavailable optional fields are omitted instead of filled with nulls or invented defaults.

Product URLs use Bing's stable Shopping product-detail route and product offer ID. Challenge and error pages are rejected and never stored.

### Examples

Single search:

```json
{
  "query": "laptop",
  "market": "en-US",
  "sortBy": "relevance",
  "maxItems": 50,
  "maxPages": 5,
  "proxyConfiguration": { "useApifyProxy": false }
}
```

Fair batch:

```json
{
  "query": "laptop",
  "queries": ["wireless headphones"],
  "maxItems": 20,
  "maxItemsPerQuery": 10,
  "maxConcurrency": 2
}
```

Run locally with `apify run --purge --input-file INPUT.json`. Results are available in the default dataset as JSON, CSV, Excel, and through the Apify API.

# Actor input Schema

## `mode` (type: `string`):

Search by query or scrape exact public Bing Shopping URLs.

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

Required in search mode. Product keywords entered into Bing Shopping.

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

Optional additional keywords. Results are interleaved fairly across queries.

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

Required in URL mode. Only public www.bing.com/shop URLs are accepted.

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

Language-country market such as en-US or en-GB.

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

Bing Shopping result order.

## `minPrice` (type: `number`):

Minimum product price in the selected market.

## `maxPrice` (type: `number`):

Maximum product price in the selected market.

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

Maximum number of unique product records.

## `maxItemsPerQuery` (type: `integer`):

Per-query cap before applying the overall maximum.

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

Maximum Bing Shopping result pages to request.

## `maxConcurrency` (type: `integer`):

Maximum browser pages processed simultaneously.

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

Retries for temporary failures and target-side rate limits.

## `navigationTimeoutSecs` (type: `integer`):

Maximum time for each browser navigation.

## `requestHandlerTimeoutSecs` (type: `integer`):

Maximum extraction time for one page.

## `headless` (type: `boolean`):

Run Chrome without a visible window.

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

Use Apify Proxy or authorized custom proxy URLs when required.

## `debug` (type: `boolean`):

Enable verbose diagnostics without logging sensitive headers or response bodies.

## Actor input object example

```json
{
  "mode": "search",
  "query": "laptop",
  "queries": [],
  "market": "en-US",
  "sortBy": "relevance",
  "maxItems": 50,
  "maxItemsPerQuery": 50,
  "maxPages": 20,
  "maxConcurrency": 1,
  "maxRequestRetries": 3,
  "navigationTimeoutSecs": 90,
  "requestHandlerTimeoutSecs": 180,
  "headless": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "debug": 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 = {
    "query": "laptop",
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/bing-shopping-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": "laptop",
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/bing-shopping-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": "laptop",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call searchapi/bing-shopping-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,searchapi/bing-shopping-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/a11PVWcp0ZDQ6aFda/builds/envr603DniwvaQmeY/openapi.json