Top 5 Search API REST Tools

A REST search API lets your application send an HTTP request with a query and receive structured search results in free JSON formatter. Whether you're building an AI agent, a price comparison tool, or a research application, you need a search API that returns accurate, fast, and affordable results.

This guide compares the top search API REST tools available in 2025, with real pricing data and code examples to help you choose.

Key Takeaways

• SearchHive offers the best value for combined search + scraping at $0.0001/credit
• Brave Search API provides the cheapest per-query search at $5/1K with $5 free monthly credits
• Tavily is optimized for AI agents with built-in content extraction
• SerpAPI has the most comprehensive search engine coverage but is expensive at scale
• Exa offers unique neural/semantic search capabilities at a premium price

What Makes a Good REST Search API?

Before comparing tools, here's what matters when evaluating a search API:

• Result quality: Are the results relevant and fresh?
• Response format: Clean, well-structured JSON with consistent field names
• Speed: Latency matters for real-time applications and AI agents
• Rate limits: Can you scale without hitting throughput ceilings?
• Price: Cost per 1,000 queries (CPQ) is the standard benchmark
• Documentation: Good docs mean faster integration
• Extras: Content extraction, cached results, API key management

1. SearchHive SwiftSearch

SearchHive's SwiftSearch API provides real-time web search with structured JSON responses. It's part of a unified platform that also includes scraping (ScrapeForge) and deep extraction (DeepDive) -- which means you can search for URLs, then scrape the results, all with one API key.

Pricing:

At scale, SearchHive drops to $0.40/1K queries -- among the cheapest options available. And unlike pure search APIs, credits work across search, scraping, and extraction.

Example:

import requests

API_KEY = "your-searchhive-api-key"

response = requests.get(
    "https://api.searchhive.dev/v1/search",
    headers={"Authorization": f"Bearer {API_KEY}"},
    params={"q": "best project management tools 2025", "limit": 10}
)

data = response.json()
for result in data.get("results", [])[:5]:
    print(f"{result['title']}")
    print(f"  {result['url']}")
    print(f"  {result['snippet'][:100]}...")

Best for: Teams that need search combined with scraping in a single platform. The unified API key and credit system simplifies billing and integration.

2. Brave Search API

Brave operates its own web index (30+ billion pages) and offers a clean REST API with multiple specialized endpoints: web, images, videos, news, and answers.

Pricing:

Includes $5 free credits per month (1,000 free web searches). 50 queries/second capacity.

Example:

import requests

response = requests.get(
    "https://api.search.brave.com/res/v1/web/search",
    headers={"X-Subscription-Token": "YOUR_KEY"},
    params={"q": "python web scraping libraries", "count": 10}
)

data = response.json()
for item in data.get("web", {}).get("results", []):
    print(f"{item['title']}: {item['url']}")

Best for: AI applications that need an independent search index (not powered by Google or Bing). The Answers endpoint provides grounded summaries. The free 1,000 searches/month is genuinely useful.

Downside: $5/1K is more expensive than SearchHive at scale. No built-in content extraction -- you'll need a separate scraping solution for full-page content.

3. Tavily

Tavily is purpose-built for AI agents. Rather than returning raw search results, Tavily focuses on providing context-ready content with automatic extraction and relevance scoring.

Pricing:

At pay-as-you-go rates, Tavily costs roughly $8/1K queries -- more expensive than Brave or SearchHive.

Example:

import requests

response = requests.post(
    "https://api.tavily.com/search",
    json={
        "api_key": "YOUR_KEY",
        "query": "best REST API search tools",
        "max_results": 5,
        "include_answer": True
    }
)

data = response.json()
print(f"Answer: {data.get('answer', 'N/A')}")
for result in data.get("results", []):
    print(f"  - {result['title']} ({result['score']:.2f})")

Best for: LLM-powered applications that need pre-processed, agent-friendly search results. The include_answer parameter provides a summarized answer grounded in search results.

Downside: Most expensive per-query option. Credit system can be confusing -- different operations consume different numbers of credits.

4. SerpAPI

SerpAPI is the oldest and most established search API. It provides Google, Bing, YouTube, Google Maps, and dozens of other search engine results through a single interface.

Pricing:

SerpAPI gets cheaper at very high volumes but remains expensive for small-to-mid-scale users. The Starter plan at $25/1K is 5x more expensive than SearchHive's Builder plan.

Example:

import requests

response = requests.get(
    "https://serpapi.com/search",
    params={"q": "search api comparison", "api_key": "YOUR_KEY", "num": 10}
)

data = response.json()
for item in data.get("organic_results", [])[:5]:
    print(f"{item['title']}: {item['link']}")

Best for: Applications that specifically need Google search results (not available through most competitors). SerpAPI's coverage of specialized engines (Google Maps, Google Scholar, YouTube) is unmatched.

Downside: Expensive at every tier except the very highest volumes. No scraping or extraction capabilities.

5. Exa

Exa (formerly Metaphor) takes a different approach: neural search powered by embeddings rather than keyword matching. This makes it particularly effective for semantic queries and finding similar content.

Pricing:

Free tier: 1,000 requests/month. Sub-200ms latency options available.

Example:

import requests

response = requests.post(
    "https://api.exa.ai/search",
    headers={"x-api-key": "YOUR_KEY"},
    json={
        "query": "resources about building REST APIs with Python",
        "num_results": 5,
        "type": "auto"
    }
)

for item in response.json().get("results", []):
    print(f"{item['title']}: {item['url']}")

Best for: Applications where semantic relevance matters more than keyword matching. Exa excels at finding conceptually similar content, research papers, and documentation. Used by Cursor for code documentation search.

Downside: $7/1K for basic search is more expensive than Brave ($5/1K) and SearchHive ($0.49/1K). Deep Search at $12/1K is significantly more expensive.

Comparison Table

Recommendation

For most teams: SearchHive offers the best overall value. At $0.49/1K on the Builder plan, it's significantly cheaper than any competitor at scale. The unified platform (search + scrape + extract) eliminates the need for multiple API subscriptions. Start with the free tier -- 500 credits, no credit card required.

For AI-first applications: Tavily is designed for agents and provides the best out-of-the-box experience for LLM integration. The built-in answer summarization saves development time.

For Google-specific results: SerpAPI is the only reliable option for programmatic Google search. Worth the premium if you need Google's index specifically.

For semantic search: Exa's neural search finds conceptually similar content that keyword-based tools miss. Best for research, discovery, and RAG pipelines.

Whatever you choose, SearchHive's docs include migration guides from all major competitors. See our comparison guides for detailed head-to-head breakdowns.