Bing Shopping Scraper - Products, Prices & Sellers

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Microsoft Corporation or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Bing Shopping" is referenced only to describe the publicly available website this Actor collects data from.

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.

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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

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Example input

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

Example output

{
  "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.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly, daily or weekly and keep your dataset current.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/bing-shopping-scraper').call({
    "queries": [
        "running shoes"
    ],
    "maxPagesPerQuery": 1,
    "maxResults": 40,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new records straight into your CRM or spreadsheet.
• Slack - get notified when a scheduled run finds something new.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. You can call this Actor from Claude, ChatGPT or any agent framework through the Apify MCP server - describe the data you need and let the assistant run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

FAQ

How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.

Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.

Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.

Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.

Is it legal to scrape Bing Shopping? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See the Disclaimer below.

Is this an official Bing Shopping tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from Microsoft Corporation. See the Disclaimer below.

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

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Microsoft Corporation or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"Bing Shopping" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Bing Shopping product, is not authorised or certified by Microsoft Corporation, and does not distribute Bing Shopping software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.