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June 2, 20263 min read

Using the Bing Search API for Rank Tracking

Bing visibility differs from Google. Here is how to use a Bing Search API for rankings — recording positions, URLs, and snippets to build a Bing rank tracker.

BingSEOSERP

Most rank tracking stops at Google, but Bing drives real traffic — and it frequently ranks different domains and surfaces different modules. If you only watch Google, you miss visibility that is already converting. This post shows how to use a Bing Search API for rankings and stand up a Bing rank tracker.

A Bing API for rankings

A Bing Search API returns the Bing results page as structured JSON. For rank tracking, the fields that matter are the same ones you would read off the page by eye, now machine-readable:

  • Organic results with position, title, URL, hostname, and description snippet
  • Related queries, people-also-ask, news, and video modules when Bing includes them
  • Country, language, page, and result-count parameters

Because each response includes explicit positions, "where does my domain rank on Bing for this keyword?" is a lookup against the result list — exactly what you need to record rankings over time.

Building a Bing rank tracker

  1. Define keywords grouped by country and language, plus the domains to watch.
  2. Call the Bing search endpoint per keyword on a schedule.
  3. Store one row per keyword per run — position, ranking URL, and snippet — so you can detect rank, URL, and title changes.
  4. Diff against the previous run to surface movement and new competitors.

This is the same shape as the broader SERP monitoring use case, so a Bing tracker drops cleanly into a multi-engine setup. For the keyword-tracking and position-checking variants, see the SERP tracker API and SERP rank checker API.

How Bing differs from Google in practice

Bing is not just a smaller Google, and the differences are exactly what a tracker should surface. Rankings diverge: Bing weights signals differently, so a page sitting at position 8 on Google can rank in the top three on Bing, and older or more established domains often hold positions that have already shifted on Google. The result modules differ too — Bing surfaces its own people-also-ask, related searches, news, and video blocks, and it leans more heavily on rich answers for some query types. Localization behaves differently as well, so the same keyword run with a different country or language parameter can return a noticeably different result set than Google does for the equivalent locale.

For tracking, the practical takeaway is to record Bing as its own series rather than assuming it mirrors Google. A keyword that looks lost on Google may still be converting on Bing, and you only see that if you store the two side by side.

A concrete tracker example

Suppose you watch the keyword "invoice software" for your domain across both engines. Each run, you call the Bing Search API and the Google Search API, find the result whose hostname matches yours, and write two rows: {engine: "bing", keyword, position, url, snippet, captured_at} and the Google equivalent. After a week you can chart both series and answer questions a single-engine tracker cannot — for example, "we dropped from 4 to 9 on Google but held position 3 on Bing," which tells you the visibility loss is engine-specific, not a sitewide problem. That diff, run on a schedule, is the entire job.

Compare across engines

The real value is cross-engine comparison. Run the same keywords through Google Search, Bing, and Brave, and pair the rankings with demand from the Google Trends API. Since every engine returns the same normalized structure, the comparison logic is identical — only the endpoint changes.

What you do not maintain

A managed Bing Search API handles proxy-aware collection, parser maintenance as Bing's layout shifts, and documented errors instead of silently broken HTML. You build the tracker and the reports; the data pipeline is someone else's problem.

Start tracking

Test the Bing search endpoint in the Playground, read the request and response shapes in the API docs, and check credit costs on the pricing page. For the end-to-end workflow, start from the SERP monitoring use case.

Related reading

  • How SERP Monitoring APIs Work (and How to Build a Rank Tracker) — the full snapshot-to-rank-tracker pattern across engines.
  • Best SERP APIs in 2026 for Rank Tracking and Search Data — how to compare SERP API options on coverage and cost.
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