What is CrewAI?
Framework for orchestrating autonomous AI agents that collaborate to complete tasks. Supports multi-agent crews with defined roles.
Searching Indeed with CrewAI
This integration lets your CrewAI agent search Indeed in real time via the Scavio API. The agent gets back structured JSON with job postings, company and company_url, company_rating and review_count, benefits and attributes -- ready for reasoning and decision-making.
Setup
pip install crewai requestsCode Example
Here is a complete CrewAI agent that searches Indeed using Scavio:
from crewai import Agent, Task, Crew
from crewai.tools import tool
import json
import os
import requests
# This page has no dedicated endpoint yet, so the sample runs a Google web search.
@tool("Scavio Search")
def scavio_search(query: str) -> str:
"""Query Indeed through the Scavio API (POST /api/v2/google)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
researcher = Agent(
role="Indeed Research Specialist",
goal="Find accurate, up-to-date information using Indeed data",
backstory="You are an expert researcher with access to real-time search data.",
tools=[scavio_search],
)
task = Task(
description="Research: python developer",
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:
from crewai import Agent, Task, Crew
from crewai.tools import tool
import json
import os
import requests
# This page has no dedicated endpoint yet, so the sample runs a Google web search.
@tool("Scavio Search")
def scavio_search(query: str) -> str:
"""Query Indeed through the Scavio API (POST /api/v2/google)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
researcher = Agent(
role="Indeed Research Specialist",
goal="Find accurate, up-to-date information",
backstory="Expert researcher with real-time search access.",
tools=[scavio_search],
)
task = Task(
description="Research: python developer",
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 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your CrewAI integration. Paid plans start from $24/mo billed yearly for higher volumes.