Use a Bing SERP API when your application needs Bing search results as an input, not as a stand-in for Google. Query Google when the workflow depends on Google result types. Query both when the same product must inspect each search surface and decide from the returned data. The useful choice comes from the question your software is answering, the location and language you set, and the response fields you need to keep.
SERPpost V1 accepts Google and Bing requests through the same search endpoint. The engine changes, but the normal workflow does not: send a query, set the market, inspect the response, and test it with the queries your product will actually run. This guide explains that decision without relying on market-share claims, generic benchmarks, or a fixed price comparison that can go stale.
Quick answer
- Choose Bing when a task needs Bing results, such as a Bing-specific report, monitoring workflow, or comparison.
- Choose Google when the task needs Google results or one of the Google result types exposed by the selected request.
- Query both when the application must compare the two result sets or retain separate evidence for each engine.
- Test the same query, country, language, page, and cache setting before deciding that one result set is sufficient.
Bing and Google solve different retrieval questions
The first choice is not a universal ranking of search engines. It is the source your application needs to query.
| Your application needs to | Start with | Validate before production |
|---|---|---|
| Store or analyze Bing search results | Bing | The response fields, query coverage, target country, language, and failure handling for your own requests. |
| Inspect a Google result set | The Google result type, returned fields, location, language, and any downstream parsing rule. | |
| Compare the two engines for the same query | Both, as separate requests | That you keep engine, retrieval time, request parameters, and source URLs with each response. |
| Turn a selected public result page into source content | Search, then Reader when needed | The page URL, capture mode, returned content, and any application-specific acceptance checks. |
Do not infer that a Bing result represents a Google result, or the other way around. A reporting system can make the distinction explicit by storing the engine alongside the query and retrieval time. That makes a later comparison easier to reproduce.
Send a Bing request with V1
SERPpost V1 uses POST /api/v1/search. This is an illustrative Bing request with U.S. English settings and a fresh-request setting:
{
"s": "enterprise CRM software",
"t": "bing",
"p": 1,
"d": 20000,
"country": "us",
"language": "en",
"maxCache": 0
}
To run the Google equivalent, keep the query and market settings stable and change t to google. A fresh request does not promise that every query will expose the same fields. The current public V1 capability list documents organic, relatedSearches, and aiOverview for Google Search, and organic for Bing Search. Read the response returned for the engine you selected instead of assuming a fixed shape.
Read the V1 documentation before treating the example as a production contract. The docs and a real test request are the source of truth for current parameters and response behavior.
When querying both engines is worth the extra work
Query both engines when your product has a reason to preserve both answers. Common examples include a search-intelligence report that labels its source, an audit that compares two result sets for the same term, or an agent workflow that needs to inspect a wider set of candidate pages before selecting URLs to read.
Keep the comparison narrow at first. Use the same query, country, language, page number, and cache rule. Store the engine and retrieval time with the returned result. Then decide whether the additional request changes a product decision, a source-selection rule, or a report that a user actually sees.
If it changes none of those things, a single-engine workflow may be easier to maintain. If it changes a meaningful decision, the extra request has a clear purpose instead of making a broad claim about complete coverage.
Run a small comparison test
Use a short, repeatable test before adding dual-engine behavior to a production workflow:
- Select a small set of queries that represent your real use case.
- Send each query to Google and Bing with the same country, language, page, depth, and cache settings.
- Save the request inputs, engine, retrieval time, and the response fields your application relies on.
- Check whether the result set changes a product decision, a monitoring alert, a source-selection step, or a report.
- Test error handling and Request Slot behavior at the concurrency your application expects.
This approach gives engineers something they can repeat. It is more useful than copying a public latency table or assuming that a sample query will behave like production traffic.
Use source capture after search when the page matters
Search results often identify a page worth examining, but they do not always supply the content your next step needs. SERPpost V1 also supports public page and file capture through its Reader endpoint. Use that path after you select a result URL when your workflow needs page content, file content, or a screenshot alongside the search result.
Keep search and capture as separate, visible steps in your design. The search request identifies the result set. The Reader request handles the selected public source. That separation makes it easier to inspect why a source entered an agent, research, or monitoring workflow.
Try the request before you buy
If your use case needs Google or Bing results, inspect a real request before choosing a paid pack.
- Use the API Playground to review a sample V1 request and response.
- Create a free account to test the workflow with your own inputs.
- Read the V1 documentation and pricing before estimating credits or Request Slots.
SERPpost is useful here when your workflow needs Google and Bing result types, then public-source capture, in one API surface. The test should still use your own queries and selected URLs.
FAQ
What is a Bing SERP API?
A Bing SERP API lets an application send a query and receive Bing search-result data for the request settings it supplies. The useful implementation details are the available fields, target market, response handling, and the way the application stores the result.
Should I use a Bing SERP API instead of a Google SERP API?
Use the engine that matches the source your workflow needs. If the application needs both result sets, make two explicit requests and preserve which engine produced each result. Do not treat one engine as a proxy for the other.
Can one V1 integration query Google and Bing?
Yes. SERPpost V1 uses the same search endpoint for both; select bing or google with the t request parameter. Validate the current request and response shape in the docs and Playground before you rely on it in production.
Why does maxCache: 0 matter in a comparison test?
It asks for a fresh request. Keep the cache rule the same across the Google and Bing requests so the comparison does not mix a cached response with a fresh one.
Sources and review date
This article was reviewed on August 25, 2026. The V1 request examples were verified with fresh Google and Bing requests on that date. Product parameters, response fields, credits, and Request Slots can change, so check the current V1 documentation and pricing before deployment.