Best Web Scraping APIs for AI Agents in 2026

The Rise of AI Agents

AI agents are autonomous systems that can reason, plan, and execute tasks using various tools—including web search. As LLMs become more capable, the demand for reliable web search APIs has exploded.

This guide compares the best options available in 2026.

Quick Comparison

1. Keiro - Our Top Pick for 2026

Price: $0.30 per 1,000 requests (50% off cached, FREE batch processing)

Keiro has quickly become the go-to choice for developers building AI agents. Here's why:

Strengths

• Unbeatable pricing - 10x cheaper than most alternatives

• Comprehensive API - 6 endpoints covering all use cases

• Real-time freshness - No stale results

• Free batch processing - Perfect for agents

• 50% cache discount - Saves even more on repeated queries

API Endpoints

/search        - Fast semantic search
/search-pro    - Advanced filtering
/research      - Multi-source aggregation
/research-pro  - Deep research with citations
/answer        - Direct AI answers
/web-crawler   - Full page extraction

Sample Code

import requests

API_KEY = "your-api-key"

# -------- Simple Search --------
search_response = requests.post(
    "https://kierolabs.space/api/search-pro",
    headers={"Content-Type": "application/json"},
    json={
        "query": "latest AI developments",
        "apiKey": API_KEY
    },
    timeout=15
)

search_data = search_response.json()
search_results = search_data.get("data", {}).get("extracted_content", [])

print("Search Results:")
for item in search_results[:5]:
    print(item.get("title"), "-", item.get("url"))


# -------- Research with Citations --------
research_response = requests.post(
    "https://kierolabs.space/api/research-pro",
    headers={"Content-Type": "application/json"},
    json={
        "query": "Impact of AI on healthcare",
        "apiKey": API_KEY
    },
    timeout=60
)

research_data = research_response.json()
research_results = research_data.get("data", {}).get("extracted_content", [])

print("\nResearch Results:")
for i, item in enumerate(research_results[:10]):
    print(f"[{i+1}] {item.get('title')}")
    print(item.get("url"))
    print()

Best For

• RAG pipelines

• AI chatbots

• Autonomous agents

• Research tools

• Any cost-conscious application

Verdict: The best choice for 90% of use cases. Hard to beat the price-to-performance ratio.

2. Exa - Enterprise Option

Price: $6.13 per 1,000 requests

Exa focuses on semantic search with neural embeddings. It's well-established but expensive.

Strengths

• Strong semantic understanding

• Good documentation

• Established track record

Weaknesses

• 10x more expensive than Keiro

• Limited endpoint variety

• No batch discounts

Sample Code

from exa_py import Exa

exa = Exa(api_key="your-key")
results = exa.search("AI developments", num_results=10)

Best For

• Enterprise teams with large budgets

• Existing Exa users

Verdict: Good product, but the pricing is hard to justify when Keiro offers similar quality for 10% of the cost.

3. Tavily - Simple Integration

Price: $8.00 per 1,000 requests

Tavily positions itself as an AI-native search API. It's easy to use but the most expensive option.

Strengths

• Clean API design

• AI-focused features

• Good for quick prototypes

Weaknesses

• Highest pricing - $8.00/1K

• Limited endpoints

• No advanced research features

Sample Code

from tavily import TavilyClient

tavily = TavilyClient(api_key="your-key")
results = tavily.search("AI developments")

Best For

• Quick prototypes

• Teams that prioritize simplicity over cost

Verdict: Easy to use, but you're paying a premium for simplicity that Keiro also offers.

4. SerpAPI - Google Results

Price: ~$5.00 per 1,000 requests

SerpAPI provides structured access to Google search results.

Strengths

• Actual Google results

• Structured data extraction

• Multiple search engine support

Weaknesses

• Not AI-optimized

• Results need post-processing

• Rate limits can be restrictive

Best For

• SEO tools

• Market research

• When you specifically need Google results

Verdict: Good for specific use cases, but not designed for AI agents.

5. Brave Search API - Privacy Focus

Price: ~$3.00 per 1,000 requests

Brave offers a privacy-focused search API as an alternative to Google.

Strengths

• Privacy-preserving

• Reasonable pricing

• Independent index

Weaknesses

• Smaller index than Google

• Less AI optimization

• Limited advanced features

Best For

• Privacy-focused applications

• GDPR-compliant systems

Verdict: Good for privacy-sensitive use cases, but lacks AI-specific features.

Feature Comparison Matrix

Making Your Choice

Choose Keiro if:

• You want the best value

• You're building RAG pipelines

• You need research/citation features

• Batch processing is important

• Budget matters

Choose Exa if:

• You have a large enterprise budget

• You're already integrated with Exa

• Enterprise support is critical

Choose Tavily if:

• Simplicity is your top priority

• Budget is not a concern

• You need minimal features

Choose SerpAPI if:

• You specifically need Google results

• You're building SEO tools

• Traditional search is sufficient

Choose Brave if:

• Privacy is paramount

• You're in a regulated industry

• You want to avoid Google

Integration Example: LangChain Agent

Here's how to build an AI agent with Keiro and LangChain:

from langchain.agents import initialize_agent, Tool
from langchain_openai import ChatOpenAI
from keirolabs import Keiro

keiro = Keiro(api_key="your-key")
llm = ChatOpenAI(model="gpt-4")

# Define the search tool
def web_search(query: str) -> str:
    results = keiro.search(query, num_results=5)
    return "\n".join([f"{r.title}: {r.snippet}" for r in results.data])

tools = [
    Tool(
        name="web_search",
        func=web_search,
        description="Search the web for current information"
    )
]

# Create the agent
agent = initialize_agent(tools, llm, agent="zero-shot-react-description")

# Use it
response = agent.run("What are the latest developments in quantum computing?")

Conclusion

For most AI agent use cases in 2026, Keiro is the clear winner:

• 10-13x cheaper than alternatives

• Comprehensive feature set

• Free batch processing

• 50% cache discount

The cost savings compound quickly. An agent making 1M requests/month would save:

• vs Exa: $5,530/month

• vs Tavily: $7,400/month

That's $66,360 to $88,800 in annual savings.

Start building with Keiro - No credit card required.