# Bing Shopping Scraper - Products, Prices & Sellers (`scrapesage/bing-shopping-scraper`) Actor

Scrape Bing Shopping for product names, prices, sellers, star ratings and review counts. Works where Google Shopping serves only a JavaScript shell to HTTP clients.

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

## Pricing

$3.00 / 1,000 product 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 Shopping Scraper - Products, Prices & Sellers

Scrape **Bing Shopping** for product names, **prices**, **sellers**, star ratings and review counts. **No login, no API key, no browser.**

Built for price monitoring, competitor tracking, retail research and building product-price datasets.

***

### Why Bing Shopping

Because **Google Shopping doesn't work from an HTTP client.** All four Google surfaces (`tbm=shop`, `udm=28`, `shopping.google.com`, plain search) return a **client-side-only shell**: HTTP 200, **zero price strings**, and the search term nowhere in the HTML. We measured it.

Bing serves the whole listing **server-side** — ~1.6 MB with 20-36 product tiles, prices, sellers and ratings included. Same job, without a browser.

### What you get

| Field | What it is |
|---|---|
| `title` | **Full** product name (read from the tile image, not the truncated visible label) |
| `price` | Numeric price, ready to compare |
| `priceText` | Price exactly as shown |
| `currency` | `USD`, `GBP`, `EUR` |
| `seller` | The retailer, e.g. "DICK'S Sporting Goods", "Amazon.com" |
| `rating` | Star rating out of 5 |
| `reviewCount` | Review count, with Bing's `1K+` expanded to `1000` |
| `imageUrl` | Product image |
| `productUrl` | Bing product page |
| `productKey` | Stable unique key — title + price + seller |
| `rank`, `page`, `query` | Where it appeared |

### Filters

`minPrice` · `maxPrice` · `minRating` · `onlyWithRating` · `maxPagesPerQuery` · `maxResults`

***

### Example input

```json
{
  "queries": ["running shoes", "laptop"],
  "minPrice": 100,
  "maxPrice": 500,
  "minRating": 4,
  "maxPagesPerQuery": 2,
  "maxResults": 100,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Example output

```json
{
  "type": "product",
  "title": "Nike Men's Alphafly 3 Running Shoes, Size 7.5, Barely Green/Black Spruce/Volt",
  "price": 294.99,
  "priceText": "$294.99",
  "currency": "USD",
  "seller": "DICK'S Sporting Goods",
  "rating": 4.5,
  "reviewCount": 1000,
  "query": "running shoes",
  "rank": 1
}
```

***

### Pricing

**$0.003 per product.** You are charged only for rows actually delivered to your dataset.

### You are not billed for junk results

Bing Shopping answers an unmatchable term with a page of **unrelated products** rather than an empty page — we measured a nonsense query returning 19 products, none matching. By default the actor recognises that: nothing is stored, **nothing is billed**, and the run says why. Turn `requireQueryMatch` off to keep whatever comes back.

### Honest limits

- **The same product appears once per seller** — that is the point of a shopping comparison, not duplication. Dedupe on `productKey` (title + price + seller), not on `title`.
- **`seller` is present on ~68% of tiles and `rating` on ~77%** — Bing simply doesn't show them on every listing. Left null rather than guessed.
- **Bing occasionally answers `/shop` with its ordinary web layout** (~110 KB instead of ~1.6 MB), which carries no product tiles. The actor detects that and retries on a fresh session, so you get products rather than a wrongly-empty category.
- Use the **residential proxy** (the default). Bing throttles per IP under volume.

### Tips

- Schedule the same queries daily and dedupe on `productKey` to build a **price history** per seller.
- `onlyWithRating: true` plus `minRating` gives a clean shortlist of well-reviewed products.
- Group by `seller` to see which retailers win a category, and at what price.

### Related actors

- **Bing Search Scraper** — Bing web results with real destination URLs
- **Bing News Scraper** — headlines with publishers and timestamps

# Actor input Schema

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

What to search Bing Shopping for. Use plain product terms.

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

Bing market code, e.g. en-US, en-GB, de-DE. Leave empty for Bing's default.

## `minPrice` (type: `integer`):

Drop products cheaper than this. 0 disables the filter.

## `maxPrice` (type: `integer`):

Drop products dearer than this. 0 disables the filter.

## `minRating` (type: `integer`):

Keep only products rated at least this (1-5). 0 disables the filter.

## `onlyWithRating` (type: `boolean`):

Bing shows a rating on roughly three quarters of tiles. Turn this on to keep only those.

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

Bing Shopping answers an unmatchable term with unrelated products instead of an empty page. With this on, a search whose results do not mention the term is treated as having no genuine matches - nothing stored, nothing billed.

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

Bing Shopping returns roughly 20-36 product tiles per page.

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

Total cap across every search. 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": [
    "running shoes",
    "laptop"
  ],
  "market": "en-GB",
  "minPrice": 0,
  "maxPrice": 0,
  "minRating": 0,
  "onlyWithRating": false,
  "requireQueryMatch": true,
  "maxPagesPerQuery": 2,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Every scraped product 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": [
        "running shoes"
    ]
};

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

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/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/WL4xRCKfHHrJHClst/builds/cM00MR99A1NF1AcF1/openapi.json