Google SERP API basics

What does “Google SERP API” mean?

It usually means an API that retrieves Google search results for a query and normalizes the page into data an application can process. It is different from Google’s own advertising, analytics or Maps services. Serqo is a third-party search results API; the example below requests a Google web results snapshot.

Make a Google SERP request

Send the query in q. Keep the API key in a server-side environment variable and send it in the x-api-key header.

curl https://api.serqo.io/v1/search \
  -H "x-api-key: $SERP_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"q":"project management software","engine":"google","type":"web","gl":"us","hl":"en"}'

The response contains a common result list in data.results. Each item can include position, title, url, displayedUrl and snippet. Optional result groups can appear in data.features. See the Google Search API reference for the response shape and parameters.

Choose a market and language

gl selects a two-letter country code, such as us; hl sets the search interface language, such as en. They describe different parts of the search context. Record both values with each response when comparing markets. If you omit them, the returned market may not match the one you intended.

Read positions as a snapshot

position is the order of an item in that returned results page. A position is not a permanent ranking or a guarantee that all searchers see the same result. Query wording, location, language, device, time and page features can change what appears. For a trend, store comparable requests with their collection times and compare the result URLs and positions in your own system.

When should you use this approach?

A Google SERP API is useful when an application needs current search result data without parsing the results page itself. Common jobs include scheduled rank checks, keyword research interfaces, search monitoring and data enrichment. If you need an ongoing rank history, the API supplies individual snapshots; scheduling and history belong in your application.

Frequently asked questions

Is Serqo the official Google Search API?

No. Serqo is a third-party API that returns Google search results. It does not represent Google or provide Google Maps Platform services.

Can a Google SERP API guarantee a fixed position?

No. It reports the position returned for a specific request context and time. Search results can vary, so store the request settings and timestamps when tracking change.

How do I request a later results page?

Check data.pagination.hasNext and use data.pagination.nextStart as the next request’s start value. Keep the other request settings unchanged.

Keep the request reproducible

A useful search record includes more than the query. Store the engine, type, country, language, device, pagination offset and collection time alongside the response. For example, “coffee grinder” on Google in the United States is a different observation from the same phrase on Bing or in another country. If a scheduled job changes any of these inputs, mark the new series clearly instead of comparing it as if the context were unchanged.

Use gl for the country market and hl for the search interface language. These inputs are related but not interchangeable. Set them explicitly for repeatable monitoring. Use a device value only where the selected engine supports it, and check the reference for engine-specific parameters before sending them.

Read the complete result page

Start with data.results, but do not assume it contains every visible block. Google can return additional result groups in data.features, and their presence depends on the query. An answer box, related questions, local results or other feature can occupy space above organic links. Decide which result categories belong in your application and retain the returned category along with each item.

Fields such as snippet, displayedUrl and date are presentation data. They can change even if the destination URL does not. Treat position as the position in this response, not a permanent position assigned to a site. When you need to match a domain, normalize host names deliberately and decide how subdomains, redirects and canonical URLs should be counted.

Handle pagination without changing the query

For result types that support pagination, inspect data.pagination.hasNext before requesting another page. Use the returned nextStart value and keep the other search settings fixed. The API can return fewer items than a requested page size, and a changing result page can shift between requests. Set your own page limit so a collection job cannot run indefinitely.

Each page request is a separate search request. Consider whether your use case needs only the first page or whether deeper results materially change the decision. A rank monitor may need a defined observation depth, while a small search preview may not need pagination at all.

Plan for changes and failures

Search results are external data, so a parser or upstream page change can affect available fields and groups. Check for an HTTP error before parsing a success body, keep the response's requestId for support, and handle optional values without treating a missing snippet or feature as a failed request. Retry only errors that are documented as retryable; do not send repeated searches immediately for a permanent validation error.

Search requests reserve the required credits before collection. Successful searches are charged at the applicable rate, cache hits are free under the default rates, and failed or timed-out searches release the reservation. See the pricing page for the current credit rules. Keep your own budget and page limits in the application, especially when the request runs on a schedule.

Integration checklist

• Keep the API key on a server you control; do not embed it in browser JavaScript.
• Send a JSON body with q, engine and type, plus only the supported optional parameters.
• Validate the response status and error code before reading result fields.
• Store the query context and collection timestamp with any data used for trend reports.
• Test empty, partial and multi-page responses as well as a normal result page.

Keep data quality visible

Search result extraction is a data pipeline, so measure the quality of the output your application actually consumes. Track whether a response has the fields your workflow needs, how often a target URL appears, and how frequently optional groups are present. These checks help distinguish a genuine change in search visibility from a change in result layout or your own matching logic.

Keep raw values when you normalize them. For example, store the returned URL as well as a normalized host, and store the displayed date separately from your own collection timestamp. If you later change a URL normalization rule or a result classifier, you can recalculate derived reports without making the API call again.

Use a narrow, testable integration

Start with one query and one market. Confirm that your application sends POST to /v1/search, authenticates with x-api-key, and checks the status before parsing the body. Then test a second query, a page with optional features, and a failure path. This small set catches common assumptions before the code is used for a large keyword list.

A useful integration test should not require a particular live ranking to stay constant. Verify the response contract, data types, and your application's handling of absent fields. Search results are volatile; hard-coding a specific title or rank as a permanent expected value will make a test fail for the wrong reason.

Continue with the Google Search API reference, the rank tracking guide, or plans and credit rules.