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Search API Pricing Comparison 2026

Head-to-head pricing comparison of search APIs in 2026 -- SerpAPI, Tavily, Serper, Exa, and Scavio at different volume tiers.

9 min read

Search APIs are the backbone of AI agents, RAG pipelines, and price monitoring tools. In 2026, at least five providers compete for your budget: SerpAPI, Tavily, Serper, Exa, and Scavio. Pricing models vary wildly -- per-search credits, monthly tiers, and per-result charges make apples-to-apples comparison difficult. This post does the math for you.

How Each Provider Charges

SerpAPI prices per successful search, starting at $50/month for 5,000 searches. Tavily uses a credit system where each API call costs 1 credit on the standard plan, with pricing starting at $100/month for 1,000 credits on their paid tier. Serper offers 2,500 free searches, then charges $50/month for 50,000 searches -- the cheapest per-query rate for Google-only results. Exa prices per search with a neural retrieval model, starting at $1 per 1,000 searches for basic and higher for full-content retrieval. Scavio charges 1 credit per search across Google, Amazon, YouTube, Walmart, and Reddit, with 500 free credits per month and paid plans starting at $9/month.

Google Search: Unit Economics

If your only need is Google web results, here is the cost per 10,000 queries on each provider's lowest paid tier:

  • SerpAPI: $100 (10,000 searches on the $100/month plan)
  • Serper: $10 (50,000 searches for $50/month, so 10k is proportional)
  • Tavily: ~$200 (10,000 credits on the Growth plan)
  • Exa: $10-$30 depending on content extraction depth
  • Scavio: $9 covers 5,000 credits; 10,000 requires the $19/month plan

Serper wins on raw Google query volume. But if you need more than just Google, the picture changes.

Multi-Platform Coverage

Most search APIs focus on a single engine. SerpAPI supports multiple engines but charges per search on each. Tavily and Exa focus on web search with AI-optimized outputs. Serper is Google-only. Scavio covers Google, Amazon, YouTube, Walmart, and Reddit under a single credit system -- one credit per search regardless of platform.

If your agent needs to search Amazon products and Google results in the same workflow, you would typically need two API subscriptions. With Scavio, both searches cost 1 credit each from the same balance:

Bash
# Google search -- 1 credit
curl -X POST https://api.scavio.dev/api/v1/search \
  -H "x-api-key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"platform": "google", "query": "best noise cancelling headphones"}'

# Amazon search -- 1 credit
curl -X POST https://api.scavio.dev/api/v1/search \
  -H "x-api-key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"platform": "amazon", "query": "noise cancelling headphones"}'

Free Tiers Compared

Every provider except Tavily offers some form of free access. SerpAPI gives 100 free searches per month. Serper provides 2,500 free searches. Exa offers a limited free tier for testing. Scavio includes 500 credits per month on the free plan with no credit card required. Tavily provides 1,000 free credits on signup but requires a paid plan for ongoing use.

For prototyping and low-volume projects, free tiers matter. Serper's 2,500 free searches is the most generous for Google-only use. Scavio's 500 free credits cover five platforms, which stretches further if your workload is spread across engines.

What Pricing Doesn't Tell You

Cost per query is only half the story. Response format, latency, and data depth vary between providers. SerpAPI returns raw SERP HTML parsed into JSON. Tavily returns AI-summarized results optimized for LLM consumption. Exa uses neural retrieval that finds semantically similar pages rather than keyword matches. Scavio returns structured JSON with platform-specific fields -- product prices, video transcripts, review counts -- that you would otherwise need to scrape.

The right choice depends on what your application does with the data. For LLM grounding, Tavily's summaries reduce token usage downstream. For e-commerce monitoring, Scavio's structured product data saves you a scraping step. For research agents that need semantic search, Exa's neural model finds results that keyword-based APIs miss.

Recommendation by Use Case

  • High-volume Google scraping: Serper -- lowest per-query cost for Google results
  • LLM grounding and RAG: Tavily -- AI-optimized summaries reduce downstream token costs
  • Semantic research: Exa -- neural retrieval finds what keyword search misses
  • Multi-platform agents: Scavio -- one API key, one bill, five platforms
  • Enterprise SERP data: SerpAPI -- mature API with the widest engine support

Pricing is a moving target. All five providers adjusted their plans in the last 12 months. Check each provider's pricing page before committing to an annual plan.