What is smolagents?
Hugging Face's lightweight framework for building AI agents. Minimal, code-first approach to agent development.
Searching TikTok with smolagents
This integration lets your smolagents 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 smolagents requestsCode Example
Here is a complete smolagents agent that searches TikTok using Scavio:
Python
from smolagents import tool, CodeAgent, HfApiModel
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
def scavio_search(query: str) -> str:
"""Query TikTok through the Scavio API (POST /api/v1/tiktok/search/videos).
Args:
query: What to look for.
"""
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())
agent = CodeAgent(tools=[scavio_search], model=HfApiModel())
result = agent.run("viral product 2026")
print(result)Full Working Example
A production-ready example with error handling:
Python
from smolagents import tool, CodeAgent, HfApiModel
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
def scavio_search(query: str) -> str:
"""Query TikTok through the Scavio API (POST /api/v1/tiktok/search/videos).
Args:
query: What to look for.
"""
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())
agent = CodeAgent(tools=[scavio_search], model=HfApiModel())
result = agent.run("viral product 2026")
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 smolagents integration. Paid plans start at $30/month for higher volumes.