What is CrewAI?
Framework for orchestrating autonomous AI agents that collaborate to complete tasks. Supports multi-agent crews with defined roles.
Searching Google Reviews with CrewAI
This integration lets your CrewAI agent search Google Reviews in real time via the Scavio API. The agent gets back structured JSON with review text, star rating, reviewer name, review date — ready for reasoning and decision-making.
Setup
Bash
pip install crewai requestsCode Example
Here is a complete CrewAI agent that searches Google Reviews using Scavio:
Python
from crewai import Agent, Task, Crew
from crewai.tools import tool
import requests
@tool("Scavio Search")
def scavio_search(query: str) -> str:
"""Search Google Reviews using Scavio API."""
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return str(response.json())
researcher = Agent(
role="Google Reviews Research Specialist",
goal="Find accurate, up-to-date information using Google Reviews search",
backstory="You are an expert researcher with access to real-time search data.",
tools=[scavio_search],
)
task = Task(
description="Research: Blue Bottle Coffee San Francisco reviews",
expected_output="A detailed summary with sources",
agent=researcher,
)
crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()
print(result)Full Working Example
A production-ready example with error handling:
Python
from crewai import Agent, Task, Crew
from crewai.tools import tool
import requests
@tool("Scavio Search")
def scavio_search(query: str) -> str:
"""Search Google Reviews using Scavio API."""
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return str(response.json())
researcher = Agent(
role="Google Reviews Research Specialist",
goal="Find accurate, up-to-date information",
backstory="Expert researcher with real-time search access.",
tools=[scavio_search],
)
task = Task(
description="Research: Blue Bottle Coffee San Francisco reviews",
expected_output="Detailed summary with key findings and sources",
agent=researcher,
)
crew = Crew(agents=[researcher], tasks=[task], verbose=True)
result = crew.kickoff()
print(result)Pricing
Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your CrewAI integration. Paid plans start at $30/month for higher volumes.