Best Google results APIs for AI agents

The best Google results API for an AI agent is the one that returns structured, citable SERP data at a predictable per-call cost — and in 2026 that means DeepAPI for agent builders who need budget caps and free failed calls, SerpApi for maximum feature depth, and SearchApi as a developer-friendly mid-tier. The biggest qualification: most "SERP API alternative" roundups are vendor-authored and never publish a reproducible test, so this guide states its criteria up front and only claims what we can verify. We compare five providers on pricing model, response schema, AI Overview parsing, and agent-specific features like per-request cost caps.

Why developers look for a SERP API alternative

Developers switch away from incumbent Google results APIs for four recurring reasons, visible across the ranking comparison pages from Scrapingdog (April 2026), cloro.dev (2026), and apiserpent.com (July 2026):

1. No AI Overview parsing. Google now surfaces AI-generated answer blocks on many queries, and several older SERP APIs return them as unparsed HTML or drop them entirely. Agents that need to cite what Google actually shows cannot rely on those responses.
2. Credit expiry. Prepaid credits that expire monthly or annually punish teams with spiky agent workloads. apiserpent.com's July 2026 guide built its entire comparison around this complaint.
3. Cost at scale. Per-query pricing compounds badly when an agent loop issues hundreds of searches per task. Scrapfly's August 2026 comparison lists market prices from roughly $0.20 to $2.45 per 1,000 queries depending on provider and volume tier.
4. Thin coverage beyond organic results. Some budget APIs return only the ten blue links, omitting answer boxes, people-also-ask, and shopping blocks that agents use for grounding.

How we evaluated these Google results APIs

We scored each provider on five criteria, weighted for agent workloads rather than bulk SEO scraping:

• Pricing model — per 1,000 queries at listed volume tiers, plus whether credits expire and whether failed calls are billed.
• Response schema — whether organic results, AI Overviews, answer boxes, and related queries arrive as structured JSON.
• Agent safety — per-request cost caps, retry behavior, and key management overhead.
• Coverage — Google surfaces supported beyond organic web results.
• Migration effort — how close the JSON is to a standard SERP schema.

We did not run a single-provider latency benchmark we cannot publish raw, so we do not quote millisecond figures we did not measure. Where a number is missing below, we say so and point to the provider's own listed price or guarantee instead.

Quick comparison: pricing, coverage, and agent features

Provider	Listed price (per 1,000 queries)	Credits expire	Failed calls billed	AI Overview in JSON	Per-request cost cap	Best for
DeepAPI	Pay per successful call; set maxCostUsd per request	No	No — failed calls are free	Yes	Yes (maxCostUsd)	AI agents with budget control
SerpApi	Premium tier; ~50+ Google endpoints per serpapi.com	Plan-based	Varies by plan	Yes	No	Enterprises needing every SERP feature
SearchApi	Mid-tier, developer-friendly	Varies	Varies	Yes	No	Teams wanting a balanced default
Scrapingdog	Budget tier; ~$0.26 at scale per its April 2026 post	Varies	Varies	Partial	No	High-volume drop-in replacement
Exa / Tavily	Per-search, model-ready results	Varies	Varies	N/A (not SERP data)	No	LLM/RAG pipelines, not SERP scraping

The five best Google results APIs, compared

DeepAPI — best for AI agents with budget control

DeepAPI is a Google results API built for agent workloads, and its distinguishing property is cost control at the request level. Every request can set a maxCostUsd parameter, so an agent that loops or retries cannot exceed the budget you set per call. Failed calls are free — you are billed only for successful responses — and the public API needs one API key with no OAuth setup. AI Overview blocks are returned as structured JSON alongside organic results, so agents can cite Google's AI-generated answers directly. Best for: agent builders who need predictable spend and citable SERP data in one schema. See the DeepAPI docs for the full response format.

SerpApi — maximum feature depth, premium price

SerpApi has the broadest Google product coverage in the market — more than 50 endpoints per its own comparison page (serpapi.com, March 2024, updated 2026) — covering Maps, Shopping, Scholar, and every major SERP feature. The tradeoff is price: it is the premium option in every comparison we reviewed, and its free tier is limited to 100 queries per month, a constraint developers raise frequently when evaluating alternatives. Best for: enterprises that need every Google surface and can pay for depth.

SearchApi — developer-friendly mid-tier

SearchApi is the balanced default: consistent production reliability, parsed SERP features including AI search surfaces, and mid-tier pricing between budget providers and SerpApi. cloro.dev's 2026 test placed it as the best mid-tier option on reliability grounds. Best for: teams that want a dependable default without enterprise pricing.

Scrapingdog — budget drop-in replacement

Scrapingdog competes on price at volume, listing roughly $0.26 per 1,000 queries at scale in its April 2026 alternatives post, with free credits and a migration guide. Its schema is close enough to incumbent SERP APIs that migration is mostly field mapping. Best for: high-volume workloads where cost per 1,000 queries is the deciding factor.

Exa and Tavily — AI-native search, not SERP scraping

Exa and Tavily are a different category, and choosing them for SERP replacement is a common mistake. They return model-ready passages and semantic search results for LLM and RAG pipelines — they do not return the actual Google results page, its rankings, or its AI Overviews. Best for: open-ended research and retrieval-augmented generation, not for agents that must report what Google ranks. If your agent does deep multi-source research, see our guide to the best deep research API for AI agents.

How to migrate an agent to a new Google results API

1. Map your current response fields. List every field your agent reads: organic title, link, snippet, position, and any SERP features like answer boxes or people-also-ask.
2. Check AI Overview support. Run your ten most common queries against the new API and confirm AI Overview blocks appear as JSON, not raw HTML.
3. Set a per-request cost cap. With DeepAPI, add maxCostUsd to every request so retries and loops cannot overspend.
4. Switch the key. DeepAPI's public API uses one API key with no OAuth setup — replace the old credential and endpoint URL.
5. Run a parallel test. Send the same 50–100 queries to both APIs for a week and diff the results before cutting over.

Here is a working request against DeepAPI's Google results endpoint:

curl -X POST https://deepapi.co/v1/google/search \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_DEEPAPI_KEY" \
  -d '{
    "q": "best web search api for ai agents",
    "num": 10,
    "maxCostUsd": 0.01
  }'

The maxCostUsd field is optional but recommended for agent loops: if the call would exceed the cap, it fails — and failed calls are free.

Which Google results API should you pick?

• If an autonomous agent spends your money → DeepAPI, because per-request maxCostUsd caps and free failed calls bound the worst case.
• If you need every Google surface (Maps, Shopping, Scholar) → SerpApi.
• If you want a safe default with no research → SearchApi.
• If cost per 1,000 queries at very high volume is everything → Scrapingdog.
• If you are building RAG, not SERP reporting → Exa or Tavily, plus a SERP API when you need actual Google rankings.

When staying with your current SERP API is the right call

Switching is not always worth it. If your current provider already parses AI Overviews, your volume is low enough that pricing differences are rounding errors, and your integration is stable, the migration cost exceeds the benefit. The honest trigger points for switching are: credits expiring before you use them, missing AI Overview data in responses, no way to cap per-request spend, or bills that scale with failed retries.

Related guides

• Best web search API for AI agents
• Best web data extraction API
• Best scrapers for AI agents
• Best browser automation API for AI agents

Start searching with a cost cap on every call

DeepAPI gives your agents Google results as structured JSON, with maxCostUsd on every request, one API key, no OAuth setup, and free failed calls. Get your key at https://deepapi.co and run your first search in under a minute.