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Comparisons

Best SERP APIs in 2026: 6 Tested for AI & Google Search

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SERP API Tools
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“SERP” used to mean 10 blue links.

In 2026, a Search Engine Results Page (SERP) is a chaotic mix of Maps, Shopping carousels, Featured Snippets, and (most disruptively) AI Overviews.

If you’re building an SEO tool, a rank tracker, or a market intelligence platform, you can’t just “scrape Google” anymore. You need an API that understands the new layout, parses generative AI text, handles n100 pagination limits, and doesn’t get banned doing any of it.

Scope of this post. This roundup covers multi-engine SERP APIs — products that abstract Google + Bing + ChatGPT Search + Perplexity behind one parsed-JSON interface. If you only need Google scraping (and want the deeper dive into Google-specific anti-bot, AI Overview, and n100 pagination), see Best Google Scrapers 2026 instead.

We evaluated the top SERP APIs on the market based on their ability to handle the modern web.

Table of contents

What makes a “modern” SERP API?

Legacy scrapers are failing. The 2026 checklist:

  1. AI Overview parsing. Can it extract the text and citations from the AI box at the top? (Important for GEO.)
  2. Multi-engine support. Does it support ChatGPT Search and Perplexity? Tracking Google alone is no longer enough.
  3. Rendering. Can it render JavaScript? Static HTML parsing misses “People Also Ask” and dynamic ads.
  4. Granular location. Does it support UULE parameters for hyper-local tracking (zip-code level)?

Already know you need a parsed-JSON SERP API and want to skip the comparison? Try cloro’s SERP API — pay-per-call, AI-Overview-native, free credits to test.

1. cloro (Best for AI & search intelligence)

cloro homepage

The first AI-native SERP API.

Traditional providers bolted AI Overview support on as a patch. cloro was built around it. It’s designed for a new era of search where the goal isn’t just ranking #1, it’s being cited. It has the deepest parsing of generative elements on the market.

Key features

  • Universal search. One API for Google, Bing, ChatGPT, and Perplexity.
  • Citation extraction. Pulls the sources used in AI answers — attribution data others miss.
  • Live browser rendering. A headless fleet that captures the actual user experience.
  • Search intent analysis. Categorizes queries based on the SERP features present (transactional vs informational, etc.).

Pros

  • Future-proof. Adapts to new AI features faster than legacy providers.
  • Rich data. Structured JSON for AI Overviews, People Also Ask, Related Searches.
  • Developer experience. Modern docs and both async/sync options.

Cons

  • Premium. Not the cheapest for scraping millions of low-value keywords.

Pricing

Usage-based with tiers for startups and enterprise.

2. CatchAll (Best for recall-first web search & monitoring)

CatchAll homepage

A web search API focused on extracting structured insights from real-world web data and events.

Unlike traditional SERP APIs that prioritize top-ranking pages, CatchAll is designed around recall. It surfaces a wide range of relevant results, enriches them with structured metadata, and turns raw web content into clean, queryable datasets for AI workflows and research.

Key features

  • Coverage-first search. Returns comprehensive sets of relevant results, not just top-ranked pages.
  • Advanced querying. Keywords, entities, timeframes, and filters for precise extraction.
  • Structured output. Enriched JSON with entities, events, and contextual metadata.
  • Event extraction. Structures real-world events from unstructured web content.
  • Clustering and deduplication. Groups similar results and removes noise.
  • Monitoring. Continuous tracking for topics, signals, or events with real-time updates.

Pros

  • High recall. Maximizes coverage, minimizes missed relevant data.
  • Structured data. Clean, analysis-ready datasets instead of raw search results.
  • Built for AI workflows. Useful for RAG pipelines, agents, and automated research.
  • Real-time monitoring without repeated manual searches.

Cons

  • Slower than basic search. Coverage-first means more latency.
  • Not SEO-focused. No keyword rankings or traditional SERP tracking features.
  • Learning curve. Requires familiarity with structured data and workflow design.
  • Premium positioning. Aimed at advanced use cases more than simple scraping.

Pricing

Tiered, usage-based pricing depending on request volume and feature access.

3. SerpApi (Best legacy provider)

SerpApi homepage

The reliable standard.

SerpApi is the Stripe of SERP. Years in the market, rock-solid uptime. If you need to scrape Baidu, Yandex, eBay, or Walmart alongside Google, they have the broadest catalog.

Key features

  • Legal shield. They take legal compliance seriously.
  • Direct JSON. Every pixel of the SERP maps to a JSON field.
  • Archive. Access to historical SERP data.

Pros

  • Reliability. It just works.
  • Coverage. Supports engines other APIs ignore (Naver, Yahoo).
  • Speed. Excellent latency.

Cons

  • Pricing. One of the most expensive per search.
  • AI lag. Their parsing of new AI features often trails the actual SERP UI changes.

4. DataForSEO (Best for bulk data)

DataForSEO homepage

The wholesaler of data.

If you’re building your own SEO tool (an Ahrefs or Semrush clone), you use DataForSEO. They’re less a real-time API and more a data infrastructure partner.

Key features

  • Cost efficiency. Very cheap at high volumes.
  • Databases. You can buy entire keyword and backlink databases, not just live scrapes.
  • Postback system. Send a batch of 100k keywords and get a webhook when they’re ready.

Pros

  • Scalability. Built for millions of requests.
  • Depth. Keyword data, backlink data, competitor data.

Cons

  • Complexity. The API has a steep learning curve.
  • Latency. “Live” checks can be slower than real-time providers.

5. SE Ranking (Best for all-in-one SEO + AI search platform)

SE Ranking SEO API

API by SE Ranking is more than a standalone scraper. It’s the programmatic layer of a full SEO & GEO platform. That means SERP data, keyword research, backlinks, and domain analysis are all accessible via API. It also offers the AI Search API that tracks brand presence across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode.

Key features

  • Dual API model. Data API (SERP, AI search, keywords, backlinks, domain analysis, website audit) + Project API (rank tracking, keyword groups, competitors).
  • AI Search API with access to brand visibility across 5 AI models, share of voice leaderboards, and prompt-level attribution.
  • MCP server to query SE Ranking data from Claude, ChatGPT, Gemini, or Cursor without manual exports.
  • Integrations with Data Studio, n8n, and Make.com for teams that want custom dashboards and automations.

Pros

  • Data breadth. SERP + AI search coverage + SEO research data from one API.
  • AI engine coverage. ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode with daily refreshes on the AI tracking side.
  • Detailed documentation with all the instructions provided.
  • Free trial. 14-day trial with 100K credits and full endpoint access.

Cons

  • No native SDKs. Integration relies on the Postman collection and REST reference.
  • Default RPS is lower than that of infrastructure-first providers; requires a support request to increase.

Pricing

API is included in every plan, starting from $129/month. Pay-as-you-go from $50 (credits don’t expire).

6. TrajectData — ValueSERP & Scale SERP (Best budget option)

TrajectData homepage

The cost-cutter.

TrajectData runs both ValueSERP (budget) and Scale SERP (higher-volume). The legacy valueserp.com and scaleserp.com domains both redirect to the unified TrajectData site, and the two products share most of their pricing, infrastructure, and feature set.

They’re cheaper versions of the premium APIs. The focus is strictly Google and Bing, with the bells and whistles cut to lower the price floor.

Key features

  • Simple pricing. Pay per 1,000 requests.
  • Google focus. Optimized for Google Search and Maps.
  • Global locations. Scraping from any country.
  • Free tier. Generous monthly allowance for testing.

Pros

  • Price. Significantly cheaper than SerpApi or Bright Data.
  • Simplicity. Easy to integrate for basic rank tracking.
  • Easy start. No credit card required to test.

Cons

  • Reliability. Lower success rates on hard queries vs. premium providers.
  • Features. Limited support for AI Overviews or deep rendering.

ValueSERP vs Scale SERP: pick Scale SERP if you anticipate sustained high-volume usage and want priority support; ValueSERP otherwise.

Comparison table

API ProviderBest ForAI Overview SupportChatGPT SupportPricing Model
cloroAI & Modern SEONative / DeepYesMonthly Sub
CatchAllRecall & MonitoringN/ANoUsage-Based
SerpApiGeneral UseBasicNoMonthly Sub
DataForSEOSaaS BuildersBasicNoPay As You Go
SE RankingAll-in-one SEO + AI SearchYesYesMonthly Sub / PAYG
TrajectData (ValueSERP & Scale SERP)Budget / TestingLimitedNoPay As You Go / Monthly Sub

Conclusion

The market has split in two.

  1. Commodity scraping. If you just need “Rank #4 for Keyword X,” use TrajectData (ValueSERP / Scale SERP) or DataForSEO. Cheap, and sufficient for legacy metrics.
  2. Intelligence scraping. If you need to understand how Google is answering questions, track AI Overviews, and monitor your brand on ChatGPT, you need an AI-native option like cloro’s SERP API.

The SERP has changed. Make sure your API isn’t stuck in 2019.

Frequently asked questions

What is a SERP API?+

A SERP API is a service that scrapes search engine results pages (like Google) and returns the data in a structured format like JSON.

Why use an API instead of scraping yourself?+

APIs handle proxy management, CAPTCHA solving, and layout changes, which saves significant engineering time.

Do SERP APIs support AI Overviews?+

Modern APIs like cloro support AI Overviews, but many legacy providers still struggle with these dynamic elements.

Do SERP APIs track other search engines besides Google?+

The best modern SERP APIs, like cloro, offer multi-engine support for platforms like Bing, ChatGPT Search, and Perplexity, which are crucial for a complete view of search visibility.

Why is rendering important for a SERP API?+

Google SERPs are increasingly dynamic and JavaScript-heavy. A SERP API needs browser rendering capabilities to accurately capture elements like 'People Also Ask' or interactive AI Overviews.

Related reading

See what AI says about your brand Read the docs