What data does it return?
The exact fields depend on the search engine and result type. A web search commonly includes a title, destination URL, snippet and position. Other result types can return image URLs, news items, product listings, videos or place details. A response may also contain page-level metadata and request information. Always check the API schema for the selected engine and type.
SERP API versus scraping
A SERP API gives your application a defined request and response format. With a general-purpose scraper, you are responsible for fetching pages, parsing markup, handling layout changes and normalizing the output. An API can reduce that integration work, but it does not make search results fixed: results can vary by query, location, language, device, time and the search engine itself.
A typical workflow
Choose the search context
Set the query and, where supported, the engine, search type, country, language and device. Keep these inputs with collected results so later comparisons use the same context.
Request structured results
Send an authenticated HTTP request and parse the JSON response. In Serqo, search requests use the /v1/search endpoint. See the API docs for authentication, accepted parameters, supported combinations and error handling.
Store and use a snapshot
Save the query, parameters, collection time and results if you need history. A SERP API returns a response for a request; your application handles scheduling, long-term storage, comparisons, alerting and downstream analysis.
Example request
This example requests a Google web search. Replace YOUR_API_KEY with an API key and use only parameters supported by the chosen engine.
curl -X POST https://api.serqo.io/v1/search \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"q":"SERP API","engine":"google","type":"web","gl":"us","hl":"en"}' What a SERP API does not tell you
A result page is a snapshot of what the selected search engine returned for specific inputs at a specific time. It does not by itself prove why a result ranked, guarantee that every user sees the same page, or provide a historical ranking trend. To analyze change, collect comparable snapshots and account for changes in query, location, language and device.
Using Serqo as a SERP API
Serqo exposes Google and Bing search results through an HTTP API and returns JSON. Available result types and parameters depend on the engine; consult the live engine list and API reference before building around a specific type. Successful requests consume credits according to the configured rate rules; cache hits are free under the default rates, while failed searches and timeouts release reserved credits.
How to choose parameters
Start with the smallest request that answers the application question. The query q describes what to search. The engine selects the search source, while type selects a result category such as web, news, images or maps where supported. Country and language parameters shape the market context; device settings can also matter for supported engines. Not every engine accepts every parameter, so check the endpoint reference before adding options.
For repeatable analysis, record the complete request rather than only the query. If a query, market, device or result type changes, treat it as a different measurement. This helps explain why two responses differ and avoids mixing unlike data in charts or reports.
What to store from a response
For a one-off interface, the application may only need titles, links and snippets. A monitoring workflow usually needs the request context, collection time, result type, position and the original response. Keep optional fields optional: a result may not have a date, thumbnail, rating or snippet. A missing optional field is different from a failed HTTP request.
Use the response schema for the selected engine and type. Main links may appear in data.results; other search features can be grouped under data.features. Do not assume every response has the same groups. A robust parser checks the status and error object first, then walks the groups that are present.
Pagination and result depth
Some search types support pagination and others do not. When the response provides pagination information, check whether another page is available and use the returned offset value. Keep query and market parameters unchanged when collecting the next page. Set a page limit in your own job, because a changing search page does not provide a fixed promise about how many results will exist.
Think about how much depth the user needs. A search preview may only show the first few items; an analysis job might need multiple pages. Each page request adds work and may affect usage, so page through results only when the extra data changes the product decision.
Build error handling around the API contract
Check the HTTP response status before reading success fields. Use the returned error code to decide whether a request should be corrected, retried later or reported to the user. Validation errors need a corrected query or parameter; retrying the same request will not fix them. Temporary failures may be retried when the response marks them retryable, with a bounded backoff.
Send the API key in the x-api-key header and keep it on a server you control. Do not put the key in a browser bundle, a public URL or application logs. Keep the response's request ID for support, but do not expose private account data when sharing a diagnostic example.
Use results as observations
A SERP API can reduce the work of retrieving and normalizing search result data, but it does not turn a search page into a stable database. Results can change with time, query wording, engine, market and device. A single response does not explain why a site appears at a position or whether every user sees the same result.
If you need trends, schedule comparable requests and store snapshots with their settings. If you need complete entity records, verified publication times or official site analytics, combine search result data with the relevant primary source. Keep those datasets distinct so users can tell which system produced each field.
When to use a SERP API
A SERP API is useful when an application needs to show or analyze current search results without maintaining its own search-page parser. Examples include a keyword research interface, a rank monitoring job, a news query monitor, a local results report or search data used to enrich an internal workflow. It is less suitable as a substitute for a search engine's official webmaster product, an interactive map service, or a complete news archive.
Before production use, verify the engines and types that are currently available, the fields documented for the response, the applicable credit rates and the retry rules. Start with a narrow integration, log request IDs, and add only the result types your application needs.
Evaluate the integration with real application needs
Before adopting a SERP API, list the fields your feature needs and the decision those fields support. A reporting dashboard may need only the result URL, position and collection time. A research workflow may also need snippets, source labels, thumbnails or optional search features. Asking for fields you never use makes storage and review harder without improving the product.
Try representative queries that cover normal, sparse and feature-heavy result pages. Confirm that your application can handle optional properties, empty arrays, pagination metadata and non-success status codes. Do not write tests that require a specific live ranking to remain unchanged; test the response contract and your own parsing rules instead.
Then measure how the integration behaves at the planned volume. Estimate requests per query, market and page, add a job limit, and decide how to report missed collections. For product-facing rankings or news alerts, show when the data was collected and the context used. This lets people interpret a result as an observation rather than a timeless fact.