Glossary
What is a SERP API?
A SERP API (Search Engine Results Page API) lets you programmatically retrieve Google search results - organic listings, AI Overviews, Local Packs, Shopping results, and more - as structured JSON, without building or maintaining a scraper.
The short definition
When you type a query into Google, the results page - the SERP - is generated dynamically. Scraping it directly is technically complex: Google renders results with JavaScript, personalises them by location and device, constantly changes its HTML structure, and actively detects and blocks automated requests.
A SERP API abstracts all of that complexity away. The API provider maintains infrastructure that fetches real-time search results at scale, parses the raw HTML into structured fields, and returns clean JSON. You call the API with a query and optional parameters - country, language, device type, number of results - and get back the same data a real user would see, ready to use in your application.
Most SERP APIs focus on Google, which accounts for over 90% of global search volume. Some providers also support Bing, DuckDuckGo, Baidu, Yahoo, or YouTube.
How a SERP API works
- 1
You send a request
You call the API endpoint with a query string and optional parameters: country, language, location (city or postal code), device type (mobile vs. desktop), and result count.
- 2
The API routes through proxies
The request is sent through residential or datacenter proxies so Google sees it as a legitimate user search from the target location. This is the core technical challenge SERP APIs solve for you.
- 3
The HTML is parsed into fields
The raw results page is parsed into structured objects: organic result titles, URLs, snippets, positions; Local Pack entries; Knowledge Graph data; Shopping listings; AI Overviews text and citations; and more.
- 4
You receive structured JSON
The parsed data comes back as JSON in under 1-2 seconds. You store it, analyse it, display it, or pipe it into a downstream workflow or AI model.
A basic SERP API request in Python
Here's what calling a SERP API looks like in practice - a single HTTP request returns a full page of Google results as structured JSON.
# Fetch Google search results with OpenWeb Ninja
import requests
url = "https://api.openwebninja.com/realtime-web-search/search"
querystring = {
"q": "best noise cancelling headphones",
"num": 10,
"gl": "us",
}
headers = {
"x-api-key": "YOUR_API_KEY",
}
response = requests.get(url, headers=headers, params=querystring)
results = response.json()["data"]["organic_results"]
for r in results:
print(r["position"], r["title"])
print(r["url"])
print(r["snippet"])
print()
Response (one organic result)
{
"position": 1,
"rank": 1,
"title": "The Best Noise-Canceling Headphones for 2026",
"url": "https://www.rtings.com/headphones/reviews/best/noise-cancelling",
"snippet": "We've tested over 600 headphones and these are the best noise-canceling...",
"domain": "rtings.com",
"displayed_link": "www.rtings.com › headphones › reviews"
}
What data does a SERP API return?
A modern SERP API returns all the structured elements Google renders, not just the blue links. Here are the most commonly needed data types:
Organic results
Title, URL, snippet, and position rank for each result on the page.
People Also Ask
Expandable question-and-answer boxes Google inserts mid-SERP - useful for content and FAQ research.
Knowledge Graph
Entity info panels (companies, people, places) shown on the right side of the SERP.
Local Pack
The map + three local business listings triggered by location-based queries.
Google Shopping
Product listings with price, image, and merchant pulled from Google Shopping.
News & Top Stories
News carousel with headline, publisher, and publish timestamp.
AI Overviews
Google's generative AI summaries shown above organic results since May 2023.
Google AI Mode
Multi-turn AI search interface launched in 2025 - full response and cited sources.
Videos
YouTube and video carousel results with thumbnail, duration, and channel.
Related searches
Suggested query variations shown at the bottom of the SERP.
Common use cases
SEO rank tracking
Monitor where your pages rank for target keywords across countries, cities, and devices - without running searches manually.
Keyword research
Collect People Also Ask questions, related searches, and autocomplete data at scale to find content gaps and topic clusters.
Ad monitoring
Track which competitors are bidding on your target keywords, when they start or stop running ads, and how their ad copy evolves.
SERP feature tracking
Detect when Google shows an AI Overview, Local Pack, or Knowledge Graph for a keyword - these features directly affect click-through rates.
AI Overview monitoring
Track whether your brand or content appears in Google's AI Overviews and AI Mode answers - the emerging standard for GEO (Generative Engine Optimization).
Price intelligence
Scrape Google Shopping results to compare product pricing across retailers and monitor price changes at scale.
Lead generation
Pull local business results (name, address, phone, rating) for any query + location - useful for building B2B prospect lists.
Competitive intelligence
Monitor competitor page rankings, featured snippet appearances, and SERP visibility over time.
SERP API providers compared
The major providers differ on search engine coverage, pricing, and what data sources they include beyond SERPs.
| Provider | Focus | Free tier | Entry paid plan | Notable |
|---|---|---|---|---|
| OpenWeb Ninja | Google SERP + 45+ other APIs | 100–200/mo | $25/mo - 10K req | Amazon, jobs, finance, local business in same stack |
| SerpAPI | Google + 80 search engines | 100/mo | $50/mo - 5K req | Widest search engine coverage |
| Serper | Google SERP | 2,500 credits | $50/mo | Simple, fast Google Search API |
| DataForSEO | Google + Bing SERP | None | Pay-as-you-go | High-volume SEO tooling focus |
| ScraperAPI | Google SERP + proxies | 1,000 credits | $49/mo | Bundled proxy infrastructure |
Pricing as of April 2026. See each provider's pricing page for the latest rates.
How to choose a SERP API
- Data freshness
- Results should reflect what Google shows right now, not a cached index. Look for real-time fetching with sub-2-second response times.
- Geo targeting
- You should be able to specify country, language, and city. SERPs vary significantly by location - especially for local searches.
- SERP feature coverage
- Do you only need organic results, or also AI Overviews, Local Pack, Shopping, and PAA? Not all providers parse every feature.
- Pricing model
- Pay-per-request suits variable workloads. Monthly plans are better for predictable, high-volume usage. Check cost per 1,000 requests, not just headline price.
- Data breadth
- If you also need Amazon data, local business info, or job listings, a multi-API platform avoids managing separate providers and billing.
- Reliability
- Google updates its markup regularly. A good SERP API provider adapts its parsers fast. Check their changelog or status page cadence.
FAQ
Common questions about SERP APIs
Is it legal to use a SERP API?
What is the difference between a SERP API and web scraping?
How much does a SERP API cost?
Can I use a SERP API to track Google AI Overviews?
What search engines do SERP APIs support?
Related reading
Real-Time Web Search API →
OpenWeb Ninja's Google SERP API - organic results, AI Overviews, AI Mode, Local Pack, and more.
JSearch - Jobs API →
Real-time job listings, salary data, and hiring signals from Google for Jobs.
OpenWeb Ninja vs SerpAPI →
Side-by-side pricing, features, and code comparison.
OpenWeb Ninja vs Serper →
How OWN compares to Serper on price, SERP coverage, and data breadth.
Try OpenWeb Ninja's SERP API
Real-time Google results - organic, AI Overviews, AI Mode, Local Pack, Shopping, PAA. Free plan included, no credit card required.
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