What is OpenClaw?
Open-source terminal-first coding agent community. Connects to any LLM and exposes tools via MCP, skills, and CLI hooks.
Searching TikTok with OpenClaw
This integration lets your OpenClaw 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
# Install OpenClaw, then drop the Scavio MCP server into your claw.jsonCode Example
Here is a complete OpenClaw agent that searches TikTok using Scavio:
Text
# Generic HTTP integration for OpenClaw
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v1/tiktok/search/videos
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"keyword":"your search query","count":20}
#
# Rows come back under data.search_item_list.
#
# TikTok search takes keyword (not query) and returns provider-native rows under data.search_item_list[].aweme_info.
Full Working Example
A production-ready example with error handling:
Text
# Generic HTTP integration for OpenClaw
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v1/tiktok/search/videos
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"keyword":"your search query","count":20}
#
# Rows come back under data.search_item_list.
#
# TikTok search takes keyword (not query) and returns provider-native rows under data.search_item_list[].aweme_info.
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 OpenClaw integration. Paid plans start at $30/month for higher volumes.