
TikTok Scraper
io.github.saulius876-lgtmv1.0.0Updated Oct 9, 2026
TikTok videos with exact views, likes, comments, shares from profiles, hashtags, search, links.
Overview
AI-generated overview
Lets an assistant pull TikTok video data — views, likes, comments and shares — from profiles, hashtags, search results and links.
- What it does
- This remote MCP server exposes TikTok scraping capability to an assistant, returning video records with exact view, like, comment and share counts. According to its description, it can gather videos from profiles, hashtags, search queries and direct links. It runs as a hosted endpoint rather than a local package.
- When to use it
- Use it when you need TikTok engagement metrics or video listings for research, reporting or content analysis, and you would rather query a hosted endpoint than build your own scraper.
- Requirements
- A remote MCP endpoint at mcp.apify.com over streamable HTTP; no packages, environment variables or headers are declared. The manifest declares no authentication, though the provider is Apify, so an account or token may be needed in practice.
Before you install
The manifest declares no authentication, so verify what credentials the endpoint actually expects before connecting. Scraped TikTok data is third-party content and may be subject to platform terms and privacy rules; treat collected profile and engagement data accordingly.
Installation
In SourceWeft
- Open TikTok Scraper in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"tiktok": {
"type": "http",
"url": "https://mcp.apify.com/?tools=sauliusautomatesit/tiktok-scraper-api"
}
}
}Tools
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Version history
1- v1.0.0LatestOct 9, 2026
