What is CrewAI?
Framework for orchestrating autonomous AI agents that collaborate to complete tasks. Supports multi-agent crews with defined roles.
Searching TikTok with CrewAI
This integration lets your CrewAI agent search TikTok in real time via the Scavio API. The agent gets back structured JSON with video results, creator profiles, hashtag data, engagement statistics -- ready for reasoning and decision-making.
Setup
Bash
pip install crewai requestsCode Example
Here is a complete CrewAI agent that searches TikTok using Scavio:
Python
from crewai import Agent, Task, Crew
from crewai.tools import tool
import json
import os
import requests
# TikTok search takes keyword (not query) and returns provider-native rows under data.search_item_list[].aweme_info.
@tool("Scavio Search")
def scavio_search(query: str) -> str:
"""Query TikTok through the Scavio API (POST /api/v1/tiktok/search/videos)."""
response = requests.post(
"https://api.scavio.dev/api/v1/tiktok/search/videos",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"keyword": query, "count": 20},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
researcher = Agent(
role="TikTok Research Specialist",
goal="Find accurate, up-to-date information using TikTok data",
backstory="You are an expert researcher with access to real-time search data.",
tools=[scavio_search],
)
task = Task(
description="Research: viral product 2026",
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 json
import os
import requests
# TikTok search takes keyword (not query) and returns provider-native rows under data.search_item_list[].aweme_info.
@tool("Scavio Search")
def scavio_search(query: str) -> str:
"""Query TikTok through the Scavio API (POST /api/v1/tiktok/search/videos)."""
response = requests.post(
"https://api.scavio.dev/api/v1/tiktok/search/videos",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"keyword": query, "count": 20},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
researcher = Agent(
role="TikTok Research Specialist",
goal="Find accurate, up-to-date information",
backstory="Expert researcher with real-time search access.",
tools=[scavio_search],
)
task = Task(
description="Research: viral product 2026",
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 at $30/month for higher volumes.