Best SERP API 2026: 8 Tools Tested + Priced

Every team running on Google’s official Custom Search JSON API has until January 1, 2027 to migrate. Per Google’s developer docs, the Custom Search JSON API is closed to new customers and existing customers are on a 13-month sunset clock. Even when it worked, the API capped at 10 results per request and 10,000 paid queries per day, with no ads, no AI Overview, no People Also Ask — a curated subset of Google’s index that bears little resemblance to what real users see.

That’s the urgent forcing function for a 2026 SERP API decision. The longer-running ones matter just as much:

• AI Overviews trigger on roughly 48% of tracked queries per BrightEdge and grew 475% YoY on mobile per seoClarity between September 2024 and September 2025. A SERP API that doesn’t parse the generative block returns a stale page.
• The n=100 parameter was deprecated on September 11, 2025 per Locomotive Agency. SERP APIs now paginate 10 results at a time, and infrastructure costs across the category rose accordingly.
• Position-1 organic CTR fell 58% under AIO per Ahrefs, and only 38% of pages cited inside AIOs also rank in the organic top 10 — down from 76% in the prior period per Ahrefs’ 4M-URL study. Tracking rank without tracking citation captures half the picture.

We tested 8 SERP APIs against this 2026 reality — Google + Bing + AI Overview parsing as the core, with multi-engine extension (ChatGPT Search, Perplexity, Gemini) as the differentiator. Pricing, AI feature coverage, true cost-per-call at production volume, and what each survives well.

Scope. This roundup covers multi-engine SERP APIs — products that abstract Google + Bing + AI-search surfaces behind one parsed-JSON interface. For a Google-specific deep dive (10 tools across SERP, Maps, Jobs, Images, Business Profile) see Best Google Scraper 2026. For a pure pricing breakdown see Cheapest SERP API 2026.

The 8 SERP APIs at a glance

Tool	Tier	Engines	AI Overview	ChatGPT/Perplexity	Starting price
cloro	AI-native	Google, ChatGPT, Perplexity, Gemini, Copilot, AI Overview, AI Mode	✅ deep	✅	$100/mo (500 free credits)
SerpApi	Multi-engine	80+ engines incl. Google, Bing, Baidu, Yandex, eBay, YouTube	✅	—	$75/mo (5k searches)
DataForSEO	Bulk + horizontal	Google, Bing, Yahoo, Yandex, Baidu, Naver, more	✅	—	$0.60/1k (Standard)
SearchApi	Multi-engine + AI	Google, Bing, YouTube, ChatGPT, Perplexity	✅	✅	$40/mo (10k searches)
Serper	Lightweight	Google, Bing	partial	—	$50/mo (2.5k free)
SE Ranking	All-in-one platform	Google, Bing + ChatGPT, Gemini, Perplexity, AIO, AI Mode	✅	✅	$129/mo (bundled)
TrajectData (ValueSERP / Scale SERP)	Budget	Google, Bing	limited	—	$0.50–$1.50/1k
CatchAll	Recall-first web search	Open web (event/research)	n/a	—	Usage-based

The category divides on three axes that matter in 2026: AI Overview parsing depth, multi-engine breadth (including the new AI surfaces), and per-call cost at production volume. A tool that wins on one axis often loses on another.

Table of contents

• How we tested
• What we focused on (and what’s out of scope)
• The four forces shaping SERP APIs in 2026
• Tier 1: AI-native multi-surface SERP APIs
• Tier 2: Established multi-engine SERP APIs
• Tier 3: All-in-one SEO platforms with SERP APIs
• Tier 4: Specialty recall-first APIs
• True cost per call at production volume
• How to choose: a working decision tree

How we tested

We picked 50 representative queries spanning four query classes:

• Commercial-investigation (head terms): “best CRM for B2B sales”, “project management software comparison”
• Informational + AI-Overview-eligible: “how does an LLM work”, “what is generative engine optimization”
• Local + maps-heavy: “dentists Brooklyn NY”, “coffee shops downtown Austin”
• Long-tail + low-volume: “best macbook pro alternative for ML developers 2026”

For each query, we ran the same request shape through each API and scored on six axes:

1. AI Overview parsing fidelity — does the response include the generative text, parsed cited sources with URLs, inline videos, and any injected ads as structured fields, or text-only?
2. Multi-engine coverage — Google alone, or Google + Bing + ChatGPT Search + Perplexity + Gemini + Copilot?
3. SERP envelope completeness — does the response include sponsored ads (top + bottom blocks with sitelinks), People Also Ask with expansions, related searches, knowledge panel, shopping carousels?
4. Geolocation precision — country-level vs city-level vs UULE-precise
5. True cost per 1,000 requests at n=10 + AIO and n=100 + AIO depth
6. Latency — sync response time at p50 and p95, plus async webhook delivery latency where supported

Where pricing has shifted since we tested, we’ve noted it. The SERP-API market is in flux post-n=100; vendor pricing pages should be the final reference.

What we focused on (and what’s out of scope)

The 8 tools above passed three filters: (1) they return parsed JSON for Google SERP and at least one other surface, (2) they were available to small and mid-market teams without enterprise-only contracts, and (3) they shipped a real product as of May 2026 with active development.

A few categories of tool are deliberately out of scope:

• The official Google Custom Search JSON API — covered in the FAQ. Closed to new customers, sunset by Jan 2027, capped at 10 results × 10,000/day even with billing, no ads/AIO/PAA.
• Pure proxy networks without parsed-JSON SERP APIs — Bright Data and Oxylabs do ship SERP APIs but their primary product is residential proxy infrastructure; we cover them in Best Google Scraper 2026 under the proxy-first tier.
• Actor marketplaces — Apify’s marketplace covers Google through community-built actors, but the marketplace model is structurally different from a parsed-JSON SERP API contract.
• Anti-bot-focused general scrapers — ZenRows and similar handle Google through their general scraping pipeline rather than as a SERP-specific product.
• AI search APIs that wrap LLM responses without returning the underlying SERP — Tavily, Exa, and similar return synthesized answers rather than the parsed search results page. Different product category entirely.

The four forces shaping SERP APIs in 2026

Before the per-tool sections, four constraints frame every production decision.

1. The Custom Search JSON API is sunsetting

Per Google’s developer documentation, the Custom Search JSON API closed to new customers in 2025 and existing customers have until January 1, 2027 to migrate. The API was never a real SERP product (10 results max per request, no ads, no AIO, 10k queries/day cap), but it was free or cheap enough that thousands of teams built on it. Every one of them needs a migration plan within the next 13 months.

This is the single biggest forcing function for SERP API adoption in 2026 — bigger than n=100, bigger than AIO. It’s a hard deadline.

2. AI Overview parsing is now table stakes

BrightEdge’s tracking puts AIO presence at roughly 48% of tracked queries. seoClarity’s data shows 475% YoY mobile growth. A SERP API that returns the page without the generative block is returning a fundamentally incomplete picture.

Worse, Ahrefs’ 4-million-URL study found that AIO citations from organic top-10 pages dropped from 76% to 38% in seven months. Ranking and AIO citation are now distinct signals — and tracking only one of them is missing the modern SERP entirely.

3. Multi-engine is the new requirement

ChatGPT now drives 87.4% of AI referral traffic per Conductor’s 2026 enterprise benchmarks. Perplexity’s citation-heavy product behavior is meaningfully different from Google AI Overview’s. Gemini’s 750M+ MAU per Alphabet Q4 2025 is a separate citation pool with its own ranking signals.

A brand can be cited heavily inside ChatGPT and absent from Google AI Mode for the same query — and the only way to manage that is to track the surfaces separately. SERP APIs that don’t span the AI surfaces leave the team with a fragmented tracking stack across two or three vendors.

4. True cost-per-call is more than the headline rate

Published rates are misleading after the n=100 change. The real cost factors are:

• AI Overview surcharge — DataForSEO doubles the first page price ($2 → $4/1k) when AIO is enabled; SerpApi treats AIO as included; cloro adds 2 credits.
• n=100 multiplier — every additional 10-result page costs 75–100% of the base. n=100 with AIO can run 5–9× the headline n=10 rate.
• Monthly minimums vs pay-per-call — SerpApi and SE Ranking bundle by month with fixed search counts and overage rates; cloro bundles a monthly credit pool ($100/mo Hobby, $500/mo Growth) with per-call credit consumption inside it; DataForSEO is the only true pay-as-you-go option with no monthly minimum.
• Latency tier surcharges — DataForSEO’s Standard Queue is roughly $0.60/1k but queues for ~5 minutes; Priority runs $1.20/1k; Live is $2.00/1k. The same API at three prices.

The true-cost-per-call breakdown section below works the math.

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Tier 1: AI-native multi-surface SERP APIs

These are built around the post-AIO SERP, with native AI Overview parsing and multi-surface (ChatGPT/Perplexity/Gemini) coverage as core product behavior rather than an add-on.

1. cloro — best for AI-native cross-surface SERP intelligence

Best for: SEO, AI search, and brand-monitoring teams that need parsed JSON for Google SERP plus AI Overview, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot through one API and one auth.

cloro’s SERP API is built around the post-AIO SERP. The same endpoint family returns parsed responses for Google Search (with AI Overview and AI Mode), ChatGPT Search, Perplexity, Copilot, Gemini, and Grok — with the actual cited source URLs each surface used.

That cross-surface coverage is the differentiator in 2026: tracking rank without tracking AI citation captures half the modern SERP, and tracking only one AI surface captures less than that. cloro returns all of them through /v1/monitor/google and per-surface variants with a stable response shape.

Key features

• One endpoint family across Google SERP, AI Overview, AI Mode, ChatGPT Search, Perplexity, Copilot, Gemini, Grok
• Parsed AI Overview with text, markdown, citations, sources, inline videos, and any injected ads as structured fields
• Full SERP envelope: organic results, sponsored ads (top + bottom with sitelinks), People Also Ask with expansions, related searches
• City-level geo via location (Google canonical strings) or pre-encoded uule
• Multi-page pagination (1–10 pages per request) that handles the post-n=100 reality transparently
• Async webhook delivery for batched query sets
• Shared credit pool across all surfaces — no per-engine billing

Pros

• Deepest AI Overview parsing on this list — full source list, citation positions, inline videos, ads
• Cross-surface coverage means one vendor for Google + Bing + every major AI search surface
• Credit-pool pricing — per-call consumption inside a monthly bundle, so cost tracks actual usage instead of a fixed search count
• Modern API design — typed responses, clean error semantics, async webhook delivery

Cons

• Monthly plan minimum ($100/mo Hobby) — teams with very low or sporadic volume may find pure pay-as-you-go (DataForSEO) cheaper at the bottom end
• Newer product than the longest-running SERP APIs; less established as a vendor in procurement processes

Pricing. Hobby plan $100/month for 250,000 credits with 500 free credits to test. Growth plan $500/month for 1.5M credits at a lower per-credit rate. Google Search costs 3 credits per call (n=10) or 23 credits (n=100 with AIO). See cloro’s SERP API pricing for current tiers.

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Tier 2: Established multi-engine SERP APIs

These are the long-running SERP-API category leaders. Mature platforms, broad engine coverage, established procurement profiles. Differences come down to per-call cost vs latency vs vertical depth vs AI-surface coverage.

2. SerpApi — best breadth of search-engine coverage

Best for: Developers who need parsed JSON across the widest set of search engines under one API — Google, Bing, Baidu, Yandex, eBay, YouTube, Amazon, Walmart, Naver, Yahoo, and 70+ others.

SerpApi is the broadest engine catalog in the SERP-API category. Beyond Google and Bing, it covers a long tail of vertical and regional engines that no one else does at the same parsing depth. Documentation is the category gold standard, and the platform ships selector fixes typically within hours of Google UI changes.

The trade-off is the bundle pricing model — monthly plans with fixed search counts rather than pay-per-call. Works well for steady predictable volume; creates friction during launch spikes or for ad-hoc projects.

Key features

• 80+ search engines including Google Search, Maps, Images, Jobs, Shopping, News, Scholar, Bing, Baidu, Yandex, eBay, YouTube, Amazon, Walmart, Naver, Yahoo
• AI Overview parsing with cited sources
• Strong client libraries (Python, Node, Go, Java, Ruby, PHP)
• Active selector maintenance
• Archive access to historical SERP snapshots

Pros

• Widest engine catalog in the category
• Mature platform (founded 2015) with established procurement and compliance posture
• Reliable when Google ships UI changes
• Documentation depth is best-in-class

Cons

• Highest per-call effective rate at the entry tier ($75/mo Developer = $15/1k effective)
• Per apiserpent’s 2026 benchmark, SerpApi at 1M searches/month costs roughly $7,000 vs DataForSEO’s $600 at the same volume — the gap widens at scale
• Multi-engine breadth comes at the cost of AI-surface depth — no ChatGPT Search or Perplexity native endpoints

Pricing. Developer $75/month (5,000 searches, $15/1k effective). Production $150/month (15,000 searches, $10/1k). Big Data $275/month (30,000 searches, ~$9.17/1k). Enterprise custom. See our SerpAPI alternatives breakdown for the deeper comparison.

3. DataForSEO — best for bulk SERP at the lowest base rate

Best for: Teams that need low per-call cost at scale, can tolerate queued (non-real-time) latency, and want SERP data alongside backlinks, keyword research, and on-page audits from a single vendor.

DataForSEO is a horizontal SEO data platform with 60+ endpoints — SERP, Keywords Data, Backlinks, On-Page, Domain Analytics, Merchant, App Data, Business Data, Content Generation. The breadth fits a full SEO program. For SERP-only consumers, the trade-off is integration overhead.

The September 2025 SERP API price cut (~80% reduction) made DataForSEO the lowest base rate in the SERP-API category. At 1M searches/month per apiserpent’s benchmark, DataForSEO runs roughly $600 vs SerpApi’s $7,000 — though the latency tier choice changes the math.

Key features

• Standard, Priority, and Live queue tiers ($0.60 / $1.20 / $2.00 per 1,000 respectively)
• 60+ endpoints covering SERP, Keywords, Backlinks, On-Page, Domain Analytics, Merchant, App Data, Business Data
• AI Overview enrichment ($2 → $4 per 1,000 on first page)
• Multi-page pagination (additional pages at 75% of base rate)
• Async task-based architecture suited to large keyword sets

Pros

• Lowest base SERP rate post-Sept 2025 price cut
• Horizontal coverage means one vendor for SERP + backlinks + on-page + keyword research
• Async task model scales well for large keyword batches

Cons

• Standard Queue can take ~5 minutes per nextgrowth.ai’s 2026 comparison — not real-time
• 60+ endpoints with varying auth, error semantics, and rate limits — integration overhead is real
• AI Overview enrichment doubles first-page cost
• See our DataForSEO alternatives breakdown for the full integration trade-offs

Pricing. $0.60/1,000 (Standard Queue, ~5 min latency). $1.20/1,000 (Priority Queue). $2.00/1,000 (Live). AIO enrichment +$2/1,000 on first page; n=100 with AIO works out to roughly $17.50/1,000.

4. SearchApi — best mid-tier multi-engine + AI search

Best for: Teams that want broader engine coverage than Serper, lower per-call cost than SerpApi, and native ChatGPT Search and Perplexity coverage in the same API.

SearchApi sits between Serper and SerpApi on price and between SerpApi and cloro on AI-surface coverage. The product covers Google, Bing, YouTube, ChatGPT Search, and Perplexity through a single API, with AI Overview parsing built in. The pricing model is monthly bundles with per-search effective rates around $2.50–$3 per 1,000 at production scale per the searchcans pricing index.

Key features

• Google, Bing, YouTube native endpoints
• ChatGPT Search and Perplexity parsed responses (one of the few in this tier)
• AI Overview parsing
• Monthly bundle pricing with overage rates

Pros

• Multi-engine + AI-surface coverage at mid-tier pricing
• Cleaner API than DataForSEO; less ergonomic friction
• Production plan ($100/month for 35k searches = $2.86/1k) is competitive

Cons

• Narrower engine catalog than SerpApi (no Baidu, Yandex, Naver, etc.)
• Newer than SerpApi/DataForSEO — less established procurement profile
• Bundle pricing creates the same launch-spike friction as SerpApi
• See our SearchApi alternatives breakdown for the deeper comparison

Pricing. Starting around $40/month for 10,000 searches; Production $100/month (35,000 searches, $2.86/1k effective).

5. Serper — best lightweight Google SERP

Best for: Developers building lightweight tools, agents, or research projects who need fast Google Search results at the lowest credible entry price.

Serper positions on speed and simplicity. The API is developer-friendly with clean JSON output and sub-200ms median response time at scale. The focus is Google Search with a narrow set of supporting verticals (Images, News) rather than full multi-engine breadth.

Per proxies.sx 2026 pricing comparison, Serper’s entry rate of $0.30 per 1k searches is one of the cheapest in the credible-quality tier.

Key features

• Fast Google Search, Images, News JSON
• Free tier with 2,500 searches
• Clean single-purpose API design

Pros

• Lowest entry price among reliably-built SERP APIs
• Fast response times even at peak load
• Generous free tier for evaluation

Cons

• Narrower vertical coverage than SerpApi or DataForSEO — no Jobs, Shopping, Maps endpoints
• AI Overview and dynamic SERP-element parsing is more limited than purpose-built tools
• Smaller documentation and ecosystem than the established players
• For a deeper comparison see our Serper alternatives breakdown

Pricing. Free tier (2,500 searches). Paid plans from $50/month.

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Tier 3: All-in-one SEO platforms with SERP APIs

These vendors sell a full SEO platform; the SERP API is the programmatic layer on top. Best fit for teams that want SERP data alongside keyword research, rank tracking, backlinks, and content tooling from one vendor and one bill.

6. SE Ranking — best all-in-one SEO + AI search platform

Best for: SEO teams and agencies that want SERP data, AI search visibility tracking, keyword research, and rank tracking through one platform and one programmatic interface.

SE Ranking is the programmatic layer of a full SEO and GEO platform. The dual API model splits Data API (SERP, AI search, keywords, backlinks, domain analysis, website audit) from Project API (rank tracking, keyword groups, competitors). The AI Search API specifically tracks brand presence across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode — five surfaces under one auth.

Key features

• Dual API: Data API (SERP, AI search, keywords, backlinks, domain analysis, website audit) + Project API (rank tracking, keyword groups, competitors)
• AI Search API across ChatGPT, Gemini, Perplexity, AI Overviews, AI Mode with daily refresh
• Share-of-voice leaderboards and prompt-level attribution on the AI tracking side
• MCP server for direct querying from Claude, ChatGPT, Gemini, Cursor
• Integrations with Data Studio, n8n, Make.com

Pros

• Data breadth — SERP + AI search + SEO research from one API
• AI engine coverage rivals dedicated AI visibility tools
• Detailed documentation
• 14-day free trial with 100k credits and full endpoint access

Cons

• No native SDKs as of mid-2026 — integration relies on Postman collection and REST reference
• Default RPS is lower than infrastructure-first providers; requires support request to increase
• Platform breadth means longer onboarding than a focused SERP-only API

Pricing. Included in every SE Ranking plan starting from $129/month. Pay-as-you-go from $50 with non-expiring credits.

7. TrajectData (ValueSERP & Scale SERP) — best budget option

Best for: Cost-sensitive teams that need basic Google and Bing scraping at the lowest possible price and can accept less coverage on dynamic SERP elements.

TrajectData runs ValueSERP (budget) and Scale SERP (higher-volume). The legacy valueserp.com and scaleserp.com domains both redirect to the unified TrajectData site; the two products share most pricing, infrastructure, and feature set. The positioning is explicit cost-cutter — strip the premium features (AI Overview depth, ChatGPT/Perplexity, advanced rendering), focus on basic Google and Bing, beat everyone on price.

Key features

• Pay-per-1,000 simple pricing
• Google and Bing focus
• Global location targeting
• Free tier without credit card

Pros

• One of the lowest per-call prices in the category at $0.50–$1.50/1,000 depending on volume
• Simple pricing makes forecasting easy
• Free tier is genuine evaluation runway

Cons

• Limited AI Overview parsing compared to the modern tier
• No ChatGPT Search or Perplexity coverage
• Lower success rates on harder queries vs premium providers
• Best fit for legacy rank tracking, not for the post-AIO SERP

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

Pricing. $0.50–$1.50/1,000 requests depending on volume tier.

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Tier 4: Specialty recall-first APIs

These don’t fit the standard “parsed Google SERP” mold. Different product category, sometimes useful in the same buying conversation.

8. CatchAll — best for recall-first web search and event monitoring

Best for: Teams building RAG pipelines, AI agents, market intelligence, or research workflows where the goal is comprehensive web coverage rather than the canonical Google SERP.

Unlike traditional SERP APIs that prioritize top-ranking pages from Google, CatchAll is designed around recall. It surfaces a wide range of relevant results from across the open web, enriches them with structured metadata (entities, events, contextual fields), and turns raw web content into clean queryable datasets for AI workflows.

The product is meaningfully different from the Tier 1–3 tools above. CatchAll won’t help you track Google rank, but it will help you build a RAG pipeline that returns broader source coverage than Google’s index alone.

Key features

• Coverage-first web search — comprehensive sets of relevant results, not just top-ranked pages
• Advanced query syntax — keywords, entities, timeframes, filters
• Structured enrichment — entities, events, contextual metadata
• Event extraction from unstructured content
• Clustering and deduplication
• Real-time monitoring with continuous tracking

Pros

• High recall maximizes coverage, minimizes missed relevant data
• Structured analysis-ready datasets rather than raw search results
• Strong fit for RAG, agents, automated research workflows
• Real-time monitoring without repeated manual searches

Cons

• Slower than basic search — coverage-first means more latency
• Not SEO-focused — no keyword rankings, no traditional SERP tracking
• Learning curve — requires familiarity with structured data and workflow design
• Premium positioning aimed at advanced use cases

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

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True cost per call at production volume

Headline pricing is misleading. The real cost depends on depth (n=10 vs n=100), AI Overview enrichment (often a surcharge), and bundle vs per-call billing (which makes the math nonlinear at irregular volumes).

The table below works the math at the most common production depth combinations, assuming mid-tier monthly volume (~30,000 searches/month):

API	n=10	n=10 + AIO	n=100	n=100 + AIO
cloro (Hobby, $0.40/credit)	$1.20/1k	$2.00/1k	$5.20/1k	$9.20/1k
cloro (Growth, $0.33/credit)	$0.99/1k	$1.65/1k	$4.30/1k	$7.60/1k
DataForSEO (Standard, queued)	$0.60/1k	$2.60/1k	$7.20/1k	$9.20/1k
DataForSEO (Live)	$2.00/1k	$4.00/1k	$9.50/1k	$17.50/1k
SerpApi (Big Data tier)	$9.17/1k	$9.17/1k	$91.70/1k (10× search count)	$91.70/1k
SearchApi (Production tier)	$2.86/1k	$2.86/1k	varies	varies
Serper	$0.30–$2/1k	partial AIO	$3–$20/1k	n/a
SE Ranking	bundled in $129/mo plan	included	included	included
TrajectData	$0.50–$1.50/1k	extra	$5–$15/1k	extra

The headline takeaways:

• At n=10 without AIO, DataForSEO Standard ($0.60/1k) is unambiguously the cheapest, with Serper ($0.30/1k entry) close behind.
• At n=10 + AIO, cloro Growth ($1.65/1k) and DataForSEO Standard ($2.60/1k with AIO surcharge) trade leads depending on volume.
• At n=100 + AIO (the production depth for serious rank tracking), the gap widens: cloro Growth ($7.60/1k) and DataForSEO Standard ($9.20/1k) are roughly tied; SerpApi runs roughly 10× as much because each batch of 10 results counts as a separate “search” in their billing model.
• SE Ranking’s bundled pricing is hardest to compare on a per-call basis because it spans SERP + keyword research + rank tracking + AI search. The platform value rather than the per-call rate is the right framing.

For the deeper price-only analysis with hidden-fee adjustments, see our Cheapest SERP API 2026 breakdown.

How to choose: a working decision tree

The 8 tools don’t compete head-to-head on every axis. Use this:

• Migrating off the Custom Search JSON API before Jan 1, 2027? Any Tier 1 or Tier 2 tool. cloro or DataForSEO for the cleanest cost transition; SerpApi if Custom Search compatibility ergonomics matter.
• Need structured citation data across Google AI Overview, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, plus classic SERP? cloro’s SERP API — the only Tier 1 option built around the cross-surface AI SERP.
• Need 80+ search engines under one API (including the long tail like Baidu, Yandex, Naver, eBay)? SerpApi.
• Need the lowest per-call SERP at scale, can absorb a horizontal-platform integration, and don’t need real-time latency? DataForSEO Standard Queue.
• Want multi-engine + AI search coverage at mid-tier pricing? SearchApi.
• Building a lightweight tool, agent, or research project and need fast cheap Google SERP? Serper.
• Want SERP + keyword research + rank tracking + AI search + backlinks from one platform and one bill? SE Ranking.
• Cost-sensitive team that just needs basic Google and Bing scraping? TrajectData (ValueSERP for ad-hoc, Scale SERP for sustained volume).
• Building a RAG pipeline, AI agent, or research workflow that needs broad web coverage rather than the canonical Google SERP? CatchAll.

The honest framing in 2026: most teams end up with one Tier 1 or Tier 2 tool as the primary (for SERP + AI surface coverage), plus a Tier 3 platform if they want bundled SEO research data. Trying to do everything with a single Tier 3 platform usually means accepting weaker AI-surface depth; trying to do everything with a Tier 4 specialty tool usually means accepting weaker classic-SERP rank tracking.

If you want to see what parsed responses look like for your specific keyword set across Google SERP, AI Overview, AI Mode, ChatGPT Search, Perplexity, Gemini, and Copilot through one API, start with cloro — 500 free credits is enough to baseline your top 100 priority queries across every major search surface.

Optimizing for price specifically? See our dedicated Cheapest SERP API in 2026: True Cost-per-Call Compared — a per-call price comparison with hidden-fee adjustments that flip the rankings.