Bing Shopping Scraper - Products, Prices & Sellers avatar

Bing Shopping Scraper - Products, Prices & Sellers

Pricing

$3.00 / 1,000 product scrapeds

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Bing Shopping Scraper - Products, Prices & Sellers

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

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

FieldWhat it is
titleFull product name (read from the tile image, not the truncated visible label)
priceNumeric price, ready to compare
priceTextPrice exactly as shown
currencyUSD, GBP, EUR
sellerThe retailer, e.g. "DICK'S Sporting Goods", "Amazon.com"
ratingStar rating out of 5
reviewCountReview count, with Bing's 1K+ expanded to 1000
imageUrlProduct image
productUrlBing product page
productKeyStable unique key — title + price + seller
rank, page, queryWhere 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 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.
  • Bing Search Scraper — Bing web results with real destination URLs
  • Bing News Scraper — headlines with publishers and timestamps