Scavio for CrewAI Search Tool

The Problem

CrewAI agents without web search tools are limited to training data knowledge, producing research outputs that may be outdated or unverifiable for time-sensitive topics.

How Scavio Helps

• Custom tool integration following CrewAI tool patterns
• Google and Reddit coverage for factual and community data
• Structured output agents can parse without extraction logic
• Crew-level search grounding reduces hallucination across all agents
• Pay-per-query pricing aligns with batch crew execution

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "crewai custom search tool web data integration 2026":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

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

Built for AI developers building CrewAI-based multi-agent research and content systems

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your crewai search tool solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.