Back to BlogComparison

10 Best SERP APIs in 2026: Complete Developer Comparison

March 1, 202615 min read

Why This Guide Exists

Every developer building an SEO tool, AI agent, or search-powered application needs a SERP API. But the market has exploded — there are now over 20 providers, each claiming to be the fastest, cheapest, or most accurate.

We spent 3 weeks testing the top 10 SERP APIs with identical queries across web search, image search, and news search. We measured latency, parsed accuracy, feature coverage, and total cost of ownership — including downstream token costs for AI applications.

This guide is updated for March 2026 with the latest pricing, features, and benchmarks.

Sponsored

Presented by CatchAll — a recall-first web search & monitoring API for AI agents, RAG, and enterprise research. Explore CatchAll

TL;DR — Quick Comparison Table

RankProviderBest ForPrice/1KAvg LatencyAI FeaturesFree Tier
1SearloAI apps, SEO, cost-sensitive$0.20–$0.60~150msTOON, MCP, Streaming3,000 credits
CatchAll (Sponsored)Recall-first AI web searchUsage-basedEntity/event extractTrial
2SerperSimple JSON needs$1.00–$2.50~200msNone2,500 one-time
3SerpAPILegacy integrations$5.00~800msNone100/month
4SearchAPI.ioMulti-engine search$0.80–$4.00~500msNone100/month
5Bright Data SERPRaw HTML scraping$2.70–$5.00~1.5sNoneNone
6TavilyAI-native search$5.00~1sAI extract1,000/month
7ExaSemantic/neural search$3.00–$10.00~1.2sNeural1,000/month
8DataForSEOSEO data at scale$0.75–$2.00~2sNoneNone
9ScrapingBeeWeb scraping + SERP$5.00+~3sNone1,000
10OxylabsEnterprise scraping$3.00–$5.00~2sNoneTrial

Methodology

We ran the benchmark in February 2026 and last reviewed pricing in June 2026. Each provider was hit with 1,000 identical queries spread across four intent classes — commercial-investigation, informational (AI-Overview-eligible), local/maps, and long-tail — from US and EU endpoints. We evaluated each API across 5 dimensions:

1. Speed — Average and p95 response time across all 1,000 queries

2. Accuracy — Parsed result quality vs the live Google SERP, plus parse success rate

3. Features — search types supported (web, image, news, video, shopping), geo support

4. Pricing — Real cost at 10K, 100K, and 1M queries/month (not just the headline rate)

5. Developer Experience — Docs quality, SDKs, onboarding speed

Every provider returned valid JSON on >99% of requests; the differences that mattered were latency, SERP-feature depth, and true cost at volume.

---

What Changed in SERP APIs for 2026

The SERP API market shifted hard over the last 12 months, and it changes which provider is the right pick:

Bing Search API was deprecated (August 2025), pushing thousands of apps to migrate to Google-based SERP APIs. See our Bing Search API migration guide.

Google's Custom Search JSON API closed to new customers in 2026 and is being deprecated, leaving teams searching for a Custom Search JSON API alternative.

Google removed the num=100 parameter (September 2025), so APIs can no longer fetch 100 results in one call — this quietly raised the true cost of deep rank tracking.

AI Overviews now appear on roughly half of all queries, reshaping click-through patterns — though no SERP API, ours included, currently extracts AI Overview content directly, since it isn't exposed through any documented API.

AI-native formats arrived — token-optimized output (TOON), MCP Protocol, and streaming now matter for teams piping SERP data into LLMs and RAG systems.

The result: the "best" SERP API in 2026 is no longer just the cheapest Google scraper. It is the one that matches your workload — rank tracking, AI grounding, or raw SERP data at scale.

---

1. Searlo — Best Overall SERP API

Website: searlo.tech

Searlo is the newest entrant but has quickly become the go-to for developers building AI applications. It's the only API with TOON format (60% fewer tokens for LLMs), native MCP Protocol support (connect Claude, Cursor, VS Code directly), and streaming responses.

What Sets It Apart

Sub-200ms latency — fastest in our tests

TOON format — proprietary Token-Optimized Object Notation reduces LLM token costs by 60%

MCP Protocol — the only SERP API with native Model Context Protocol support for AI agents

Real-time organic data — fast, cheap ranking signal for tracking AI Overview impact on your traffic

Flexible credit validity — new users get 90-day validity; legacy accounts keep unlimited credits (no monthly subscription)

195 countries — full geo-targeting with city-level precision

Pricing

PackCreditsPricePer 1,000
Micro5,000$3.99$0.80
Builder75,000$29.99$0.40
Pro900,000$199.99$0.22
Free3,000$0

Code Example

Verdict

Best choice for AI developers, SEO tools, and anyone building at scale. The combination of speed, AI-native features, and one-time pricing makes it the best value in 2026. The TOON format alone can save hundreds on downstream LLM costs.

Rating: ★★★★★ (5/5)

---

CatchAll by NewsCatcher — Recall-First Web Search for AI

Sponsored — CatchAll is a NewsCatcher partner and this is a paid placement. It sits outside our independent 1–10 editorial ranking.

Website: newscatcherapi.com/web-search-api

CatchAll is a recall-first web search and monitoring API built for AI agents, enterprise research, and structured web intelligence. Powered by NewsCatcher's proprietary web index, it prioritizes comprehensive retrieval over traditional ranked search results, delivering structured data with entities, events, and contextual metadata for RAG pipelines, monitoring systems, and AI workflows.

Strengths

High-recall web search tuned for AI and RAG workflows

Structured JSON enriched with entities and event extraction

Real-time monitoring and alerting on newly published content

Purpose-built for research automation, not just one-off lookups

Weaknesses

Not designed for traditional SEO rank tracking

Returns a recall-first corpus rather than a Google SERP replica

Usage/quote-based pricing — less transparent than per-1K providers

Pricing

Usage-based pricing with scalable plans from individual developers up to enterprise research teams. Contact NewsCatcher for volume quotes.

Verdict

If your use case is grounding an AI agent or running enterprise monitoring where coverage matters more than mirroring Google's top 10, CatchAll is a credible specialist. Its recall-first design and event extraction do real work that a rank-faithful SERP API is not built for. It is not a drop-in substitute for a Google SERP API: for rank tracking, SERP-feature parsing, or SEO reporting you still want a ranked provider from this list — Searlo for AI-native features and cost, or SerpAPI for multi-engine breadth. Best read as a complement to a SERP API, not a replacement.

Rating: ★★★★☆ (4.5/5)

---

2. Serper — Best Budget Option for Simple Needs

Website: serper.dev

Serper offers fast, clean JSON responses at competitive prices. It's a solid choice for developers who need basic Google results without AI-specific features.

Strengths

Fast response times (~200ms)

Clean JSON structure

Good documentation

Generous one-time free tier (2,500 searches)

Weaknesses

No AI-specific formats (TOON, streaming)

No MCP Protocol support

Monthly subscription model — unused credits expire

Pricing

Starts at $50/month for 50,000 searches ($1.00/1K). Enterprise plans available.

Rating: ★★★★☆ (4/5)

---

3. SerpAPI — The Established Player

Website: serpapi.com

SerpAPI has been around since 2018 and has the largest developer community. It supports 15+ search engines (Google, Bing, Yahoo, Baidu, etc.) and has the most comprehensive SERP feature parsing.

Strengths

Multi-engine support (Google, Bing, Baidu, Yandex, etc.)

Most SERP features detected

Large community and ecosystem

Playground for testing queries

Weaknesses

Expensive — $5.00/1K at all tiers

Slow average latency (~800ms)

No AI features (TOON, MCP, streaming)

Monthly subscription with expiring credits

Overage charges can double the cost

Pricing

$50/month for 5,000 searches ($10/1K on Starter). Better rates at higher tiers: $275/month for 30,000 ($9.17/1K).

Rating: ★★★½ (3.5/5)

---

4. SearchAPI.io — Multi-Engine Alternative

Website: searchapi.io

SearchAPI.io offers Google, Bing, Baidu, and several other engines. Pricing is more competitive than SerpAPI but without the ecosystem.

Strengths

Multiple search engines

Competitive pricing at higher volumes

Good documentation

Scholar and patents search

Weaknesses

Higher latency (~500ms average)

No AI-native features

Smaller community

Monthly subscriptions

Pricing

Starts at $40/month for 5,000 searches ($8/1K). Volume discounts bring it down to ~$0.80/1K.

Rating: ★★★½ (3.5/5)

---

5. Bright Data SERP API — For Scraping Power Users

Website: brightdata.com

Bright Data's SERP API is built on their massive proxy infrastructure. Best for users who need raw HTML access or very specific geo-targeting.

Strengths

Massive proxy network (72M+ IPs)

Raw HTML + parsed JSON options

Granular geo-targeting

Enterprise SLAs available

Weaknesses

No free tier

Complex pricing (zone-based)

Slower response times (~1.5s)

No AI features

Steep learning curve

Pricing

Pay-as-you-go starting at $2.70/1K. Volume commitments reduce pricing.

Rating: ★★★☆ (3/5)

---

6. Tavily — AI-Native Search

Website: tavily.com

Tavily is designed specifically for AI applications. It returns cleaned, summarized content rather than raw SERP data. Good if you want pre-processed results.

Strengths

AI-extracted content (not raw HTML)

Built for RAG/LLM pipelines

Topic classification

LangChain integration

Weaknesses

Expensive ($5/1K)

Not suitable for SEO tools — data is transformed into AI summaries, not raw SERP data

Limited geo-targeting

Monthly subscription only

Pricing

$50/month for 10,000 searches. Enterprise pricing available.

Rating: ★★★☆ (3/5)

---

7. Exa — Neural Search Engine

Website: exa.ai

Exa uses neural/semantic search rather than keyword matching. It's a different paradigm — great for finding conceptually similar content, less suitable for SERP tracking.

Strengths

Semantic search (finds conceptually related pages)

Content extraction built-in

Good for research applications

Novel approach to search

Weaknesses

Not a true SERP API — doesn't return Google results

Expensive ($3–$10/1K)

Can't track Google rankings

Limited to web search (no images, news, maps)

Smaller index than Google

Pricing

1,000 free searches/month. Paid plans start at $20/month.

Rating: ★★★☆ (3/5)

---

8. DataForSEO — SEO Data at Scale

Website: dataforseo.com

DataForSEO provides SERP data alongside keyword data, backlink data, and on-page SEO metrics. It's a full SEO data platform rather than just a search API.

Strengths

Full SEO data suite (SERPs + keywords + backlinks + on-page)

Competitive pricing at volume

Task-based async API (queue large batches)

Historical SERP data

Weaknesses

Higher latency (async model, 1-5s for real-time)

Complex API with many endpoints

Best for SEO, less suitable for AI agents

Steeper learning curve

No free tier

Pricing

Pay-as-you-go: $0.75–$2.00/1K depending on endpoint and priority.

Rating: ★★★☆ (3/5)

---

9. ScrapingBee — Web Scraping + SERP

Website: scrapingbee.com

ScrapingBee is primarily a web scraping API that also offers a Google Search endpoint. Best if you need both capabilities.

Strengths

Combined web scraping + SERP API

JavaScript rendering

Residential proxies included

Screenshot capture

Weaknesses

SERP API is secondary to scraping

Expensive for SERP-only use ($5+/1K)

Slower response times

Limited SERP feature parsing

No AI features

Pricing

Starts at $49/month for 150,000 credits (1 SERP search = 25-75 credits).

Rating: ★★½ (2.5/5)

---

10. Oxylabs SERP Scraper — Enterprise Grade

Website: oxylabs.io

Oxylabs targets enterprise customers with high-volume needs. Their SERP API sits on top of a massive proxy infrastructure.

Strengths

Enterprise reliability and SLAs

100M+ proxy pool

Scheduler for recurring scrapes

Dedicated account management

Weaknesses

Enterprise pricing ($3–$5/1K minimum)

Requires sales contact for setup

Overkill for small/medium projects

No AI features

Complex to get started

Pricing

Custom pricing starting at ~$3/1K. Annual commitments required.

Rating: ★★½ (2.5/5)

---

Head-to-Head: Searlo vs Top 3 Competitors

Speed Test (p50 latency, identical queries)

Providerp50 Latencyp95 Latencyp99 Latency
Searlo147ms280ms450ms
Serper195ms380ms600ms
SerpAPI780ms1,200ms2,100ms
Tavily950ms1,800ms3,000ms

Cost at Scale

Monthly VolumeSearloSerperSerpAPITavily
10K searches$4.00$50.00$50.00$50.00
100K searches$30.00$250.00$500.00$500.00
1M searches$220.00$1,250.00$5,000.00$5,000.00

AI Feature Matrix

FeatureSearloSerperSerpAPITavily
TOON format
MCP Protocol
Streaming
Intent detection

Which SERP API Should You Choose?

Choose Searlo if you want the fastest, cheapest API with AI-native features. Best for: AI agents, RAG systems, SEO tools, any production app.

Choose Serper if you need basic Google JSON results and don't need AI features. Good budget option for simple use cases.

Choose SerpAPI if you need multi-engine support (Bing, Baidu, Yandex) or have legacy integrations. Accept the higher cost for the largest ecosystem.

Choose Tavily if you want pre-processed AI search content and don't need raw SERP data. Good for simple RAG where you want clean text.

Choose DataForSEO if you need a complete SEO data platform (SERPs + keywords + backlinks) and can work with async APIs.

Building recall-first AI research or monitoring? Consider CatchAll (Sponsored) — it optimizes for coverage and event extraction rather than Google rank fidelity. It is not a rank-tracking tool, so pair it with a ranked provider above for SERP and SEO work.

SERP API vs Building Your Own Scraper

The most common question developers ask is whether to use a SERP API at all, or just scrape Google directly. Building your own scraper means owning a moving target:

Proxies — Google blocks datacenter IPs fast, so you need a rotating residential proxy pool.

CAPTCHAs — solving or avoiding reCAPTCHA at scale is a constant arms race.

Parsers — Google changes its HTML frequently, breaking selectors and silently corrupting your data.

Rendering — many SERP features only appear after JavaScript executes, so you need headless browsers.

Geo & scale — accurate country/city results and high throughput add infrastructure cost.

A SERP API absorbs all of that and returns clean, structured JSON. At $0.20–$0.30 per 1,000 queries, a managed API almost always beats the engineering time of building and maintaining a scraper — building only makes sense at extreme volume with a dedicated team. For most teams, the break-even math favors the API. If you need raw SERP data at scale, a provider like Bright Data or Searlo delivers it without the maintenance burden.

Getting Started

The fastest way to evaluate is to test with real queries. Sign up for free at dashboard.searlo.tech — 3,000 credits, no credit card required (new users: 90-day validity, legacy users: unlimited).

Read our API documentation to get your first search result in under 5 minutes, or connect your AI agent via MCP Protocol for zero-code integration.

More Comparisons

Searlo vs SerpAPI — detailed head-to-head

Searlo vs Serper — speed and pricing comparison

Searlo vs Tavily — AI search API comparison

Cheapest SERP API 2026 — full pricing breakdown

SERP API for SEO — SEO-specific features

SERP API for AI — AI/LLM integration guide

Sponsored

CatchAll is a sponsored partner. Need recall-first web search instead of ranked Google SERPs? Explore CatchAll by NewsCatcher — built for AI grounding, RAG pipelines, and enterprise monitoring.

bash
curl -H "X-API-Key: YOUR_KEY" \ "https://api.searlo.tech/api/v1/search?q=best+serp+api&num=10&gl=us"

Frequently Asked Questions

What is the best SERP API in 2026?

For AI applications and cost-sensitive teams, Searlo leads on speed and price ($0.20–$0.60 per 1,000 queries). For the widest multi-engine coverage choose SerpAPI, and for bulk asynchronous SEO data choose DataForSEO. The best SERP API depends on your specific workload.

What is the cheapest SERP API in 2026?

At scale, Searlo (about $0.22 per 1,000 on its Pro pack) and DataForSEO's standard queue (about $0.60 per 1,000) are the cheapest credible options. See our cheapest SERP API breakdown for the full cost analysis.

Is it legal to use a SERP API to scrape Google results?

Scraping publicly available search results is generally considered legal (see hiQ Labs v. LinkedIn), and reputable SERP APIs handle collection compliantly on their own infrastructure. This is not legal advice — review your jurisdiction and Google's terms for your specific use case.

Can I track keyword rankings with a SERP API?

Yes. You query each keyword on a schedule and read the organic position for your domain across countries and devices. See our guide to using a SERP API for SEO and rank tracking.

Do any SERP APIs support Google AI Overviews?

Not directly, as of 2026 — AI Overview content isn't exposed through Google's Custom Search API or any documented interface, so no SERP API (Searlo included) extracts it as structured data. What providers like Searlo do offer is fast, cheap, real-time organic data — the practical building block for tracking AI Overview impact on rankings.

What is the difference between a SERP API and Google's Custom Search JSON API?

Google's Custom Search JSON API is limited (around 100 queries per day on the free tier, restricted to configured sites) and closed to new customers in 2026 ahead of deprecation. A SERP API returns the full live Google results page across the whole web. See our Custom Search JSON API alternative.

How do SERP APIs handle Google's anti-bot protection?

They manage rotating proxies, CAPTCHA solving, and JavaScript rendering server-side, so you receive clean structured JSON without dealing with blocks, bans, or browser automation yourself.

Do SERP APIs support localized, country-specific results?

Yes. You pass country (gl) and location parameters to get geo-accurate results. Searlo supports 195 countries with city-level targeting.

What is the best SERP API for Python developers?

Any REST-based SERP API integrates cleanly with Python using requests or httpx. Searlo, Serper, and SerpAPI all provide simple Python examples — see our SERP API Python tutorial.

How fast should a SERP API be?

Sub-second response is achievable — Searlo averages around 150ms — while proxy-and-scraper-based providers typically run 1.8 to 3 seconds or more. Latency matters most for real-time AI agents and user-facing search.

Ready to try Searlo?

Get 3,000 free credits. No credit card required.

Get Free API Key