Bing Shopping Scraper - Products, Prices & Sellers
Pricing
$3.00 / 1,000 product scrapeds
Bing Shopping Scraper - Products, Prices & Sellers
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.
Pricing
$3.00 / 1,000 product scrapeds
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Scrape Sage
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a day ago
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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
{"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 ontitle. selleris present on ~68% of tiles andratingon ~77% — Bing simply doesn't show them on every listing. Left null rather than guessed.- Bing occasionally answers
/shopwith 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
productKeyto build a price history per seller. onlyWithRating: trueplusminRatinggives a clean shortlist of well-reviewed products.- Group by
sellerto 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