Bing Shopping API: How to Collect Product Data from Bing

Bing Shopping is useful when you want to see how products appear across Microsoft’s search ecosystem.

For e-commerce teams, it can show product titles, prices, sellers, images, ratings, promotions, and shopping visibility. Microsoft’s Shopping campaigns page also highlights product ads with custom product images, pricing, store names, product ratings, and promotions.

A Bing Shopping API helps turn that product search data into structured results your team can use in dashboards, price monitors, market research tools, SEO workflows, and AI applications.

The key is not just collecting product links. The real value is collecting clean product data with enough context to understand where the result appeared, which seller was shown, what price was displayed, and when the data was collected.

What Is a Bing Shopping API?

A Bing Shopping API collects product results from Bing Shopping or shopping-related Bing search pages and returns them in a structured format, usually JSON.

A simple request may look like this:

{
  "query": "wireless noise cancelling headphones",
  "location": "United States",
  "language": "en",
  "device": "desktop",
  "output": "json"
}

The API may return product titles, prices, sellers, ratings, review counts, images, product URLs, ranking positions, and availability signals.

One important note: Microsoft retired the official Bing Search APIs on August 11, 2025, and directed customers toward Grounding with Bing Search in Azure AI Agents. So when teams talk about a “Bing Shopping API” today, they often mean a third-party SERP API, scraping API, or internal data collection workflow that collects Bing Shopping results in a structured way.

What Product Data Can You Collect?

The exact fields depend on the provider and the result type, but Bing Shopping data usually focuses on product, seller, and visibility signals.

Bing Shopping has also featured product comparison signals such as ratings, expert reviews, product specifications, price history, and multiple sellers. These are useful signals when building comparison tools, pricing dashboards, or AI shopping assistants.

Common Use Cases

Price Monitoring

A Bing Shopping API can help teams track how prices change across sellers and markets.

This is useful for competitor pricing, discount tracking, MAP monitoring, and category-level price research. If several sellers list the same product, you can compare displayed prices and see which seller is more visible.

Seller and Marketplace Monitoring

Bing Shopping results can show which merchants appear for important product queries.

You can monitor:

• Which sellers appear most often

• Which sellers rank higher

• Whether unauthorized sellers appear

• Which sellers use promotions

• Whether product availability changes

This is helpful for brands that sell through multiple retail partners.

Product Visibility Tracking

For e-commerce SEO and product marketing, visibility matters.

You may want to know whether your products appear for target product searches, whether competitors appear above you, and whether your product titles are competitive.

A Bing Shopping API can help track product visibility by query, market, language, and time.

AI and LLM Workflows

Product data from Bing Shopping can also support AI workflows.

An AI shopping assistant or market research agent needs fresh product context: product names, prices, sellers, ratings, links, and timestamps. Structured Bing Shopping data can help an LLM compare products, summarize options, detect pricing differences, and generate source-aware answers.

Example Response Structure

A clean Bing Shopping API response may look like this:

{
  "query": "wireless noise cancelling headphones",
  "location": "United States",
  "language": "en",
  "collected_at": "2026-05-15T09:30:00Z",
  "shopping_results": [
    {
      "position": 1,
      "title": "Wireless Noise Cancelling Headphones",
      "price": "$129.99",
      "seller": "Example Store",
      "rating": 4.6,
      "reviews": 1240,
      "product_url": "https://example.com/product",
      "image_url": "https://example.com/image.jpg",
      "availability": "In stock",
      "result_type": "shopping"
    }
  ]
}

This is much easier to use than raw HTML. The data can go directly into a pricing tool, BI dashboard, alert system, or AI data pipeline.

What to Compare Before Choosing a Bing Shopping API

Not every API returns the same quality of product data. Before choosing a provider, compare the parts that affect your actual workflow.

For AI workflows, also check whether the API returns enough source context: query, location, timestamp, result type, source URL, and seller information.

Bing Shopping vs Google Shopping Data

Many teams monitor both Bing Shopping and Google Shopping because the results can differ.

Google Shopping often gets more attention in e-commerce search analysis, but Bing can still reveal useful product visibility across Microsoft’s search environment. Bing Shopping may show different sellers, product rankings, pricing patterns, and promotional signals.

If your market depends on product search visibility, comparing both sources gives a better picture than relying on one platform.

Why Use an API Instead of Manual Tracking?

Manual tracking does not scale.

A few searches are easy to check by hand. Hundreds of products across multiple countries, languages, and sellers are not.

The difficult parts are usually:

• Collecting localized results

• Handling changing page layouts

• Parsing product fields consistently

• Tracking prices over time

• Managing request blocks

• Handling CAPTCHA interruptions

• Keeping data clean enough for dashboards or AI tools

A Bing Shopping API helps reduce this work by returning structured product data in a repeatable format.

How Talordata SERP API Helps

Talordata SERP API helps teams collect structured search data for SEO, e-commerce monitoring, market research, and AI workflows.

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For Bing Shopping workflows, this means teams can focus on product visibility, pricing, seller monitoring, and competitive analysis instead of maintaining scraping infrastructure or manually parsing shopping results.

It is especially useful when teams need clean product data across search engines, markets, and downstream systems.

FAQ

What is a Bing Shopping API?

A Bing Shopping API collects product results from Bing Shopping or shopping-related Bing search pages and returns structured data such as product titles, prices, sellers, ratings, images, URLs, and ranking positions.

Is there an official Bing Shopping API?

Microsoft retired the official Bing Search APIs on August 11, 2025. Today, teams usually collect Bing Shopping data through third-party SERP APIs, scraping APIs, or custom data collection systems.

What data should a Bing Shopping API return?

At minimum, it should return product title, price, seller, product URL, image URL, rating, review count, availability, position, location, and timestamp.

Can Bing Shopping data be used for price monitoring?

Yes. It can help track product prices, sellers, promotions, and availability across markets and time.

Should I monitor Bing Shopping and Google Shopping together?

Yes, if product visibility matters to your business. Bing and Google can show different sellers, rankings, prices, and product results, so monitoring both gives a broader market view.

Final Thoughts

A Bing Shopping API is useful when your team needs structured product data from Bing without manually checking search pages.

The most useful data includes product titles, prices, sellers, URLs, images, ratings, positions, locations, and timestamps. With those fields, teams can build price monitors, seller tracking systems, market research dashboards, and AI shopping workflows.

The best API is not just the one that collects data. It is the one that returns clean, stable, and contextual product data your team can actually use.