Updated on 2026-05-12 NovaDataHub Engineering
Search API

Google SERP API

NovaDataHub helps developers, SEO teams, and product teams turn Google result pages into structured JSON. Use it for rank tracking, local SEO monitoring, search intelligence products, competitor visibility checks, and search-driven workflows that need cleaner downstream data than raw HTML.

Structured JSON

Google SERP API

  • Organic result arrays with position, title, URL, and snippet
  • Ads top and ads bottom blocks
  • People Also Ask question data
  • Local pack and location-aware result data
  • Related searches and query context
  • Country, language, device, and async or sync execution controls
Internal links: pricing, docs, and signup are included on every page.
Overview

What is the Google SERP API?

The Google SERP API is a developer-facing service that returns Google search results as machine-readable JSON. Instead of parsing HTML manually, teams can submit a query with locale and device settings, then work with structured result blocks for organic listings, ads, People Also Ask, local packs, related searches, and request metadata in sync or async workflows.

Coverage

Supported data

  • Organic result arrays with position, title, URL, and snippet
  • Ads top and ads bottom blocks
  • People Also Ask question data
  • Local pack and location-aware result data
  • Related searches and query context
  • Country, language, device, and async or sync execution controls
Who it is for

Teams that usually fit this page best

  • SEO teams building rank tracking or local reporting workflows
  • Growth teams that need structured Google result data in dashboards or jobs
  • Agencies comparing commercial SERP API options
  • Product teams turning search pages into JSON-backed features
Evaluation flow

What technical buyers should verify first

  • Start with one sync request and inspect result.organic, result.paa, result.related_searches, and any localization fields you plan to store.
  • Open the docs plus Python or C# tutorials before production rollout so the buying decision stays tied to a real implementation path.
  • Use async mode and save query, locale, device, and timestamp when the workflow becomes bulk, recurring, or report-driven.
Examples

Visible request and response examples

Example request

curl -s -H "x-api-key: YOUR_API_KEY" "https://novadatahub.com/search?q=best+running+shoes&gl=us&hl=en&device=desktop&sync=true"

Example JSON response

{
  "ok": true,
  "jobId": "serp_a1b2c3d4",
  "status": "completed",
  "result": {
    "query": "best running shoes",
    "organic": [
      { "position": 1, "title": "Best Running Shoes of 2026", "url": "https://example.com/running-shoes" }
    ],
    "ads_top": [],
    "paa": [
      { "question": "Which running shoes are best for beginners?" }
    ],
    "related_searches": ["best running shoes for beginners"]
  }
}
Use cases

Common implementation paths

Keyword rank tracking with stored request context

Google SERP API helps teams support this workflow with structured JSON and lighter integration overhead.

Local SEO monitoring across city, region, and device combinations

Google SERP API helps teams support this workflow with structured JSON and lighter integration overhead.

Competitor visibility and overlap research

Google SERP API helps teams support this workflow with structured JSON and lighter integration overhead.

Search intelligence products that need machine-readable SERP blocks

Google SERP API helps teams support this workflow with structured JSON and lighter integration overhead.

Question mining and supporting-content research from People Also Ask and related searches

Google SERP API helps teams support this workflow with structured JSON and lighter integration overhead.

FAQ

Questions teams ask before integrating

What is a SERP API?
A SERP API is an API that returns structured search engine results page data so developers do not have to scrape and parse search result HTML manually.
What data does NovaDataHub return?
NovaDataHub returns structured SERP blocks such as organic results, ads, People Also Ask, related searches, local pack data, and localization metadata.
Do you support JSON responses?
Yes. The SERP API is designed around structured JSON responses for backend systems, dashboards, and analytics pipelines.
Can I use it with Python?
Yes. You can call the API with Python requests or any other HTTP client.
Can I use it with C#/.NET?
Yes. You can call the API with HttpClient in C# and .NET.
Should I start with sync or async mode?
Start with sync mode when you are validating the request and payload shape. Move to async workflows when jobs become bulk, scheduled, or timeout-sensitive.
How are rate limits handled?
Rate limits depend on the selected plan and are enforced per account and service key.
What happens when quota is exceeded?
When the active quota is exhausted, the API returns an error response so your application can notify users or fall back gracefully.
Related links

Continue with connected pages

Ready to test Google SERP API?

Review the docs, check pricing, create an account, and move from example request to production code faster.