
TikTok Data Extractor
Pay $4.00 for 1,000 results

TikTok Data Extractor
Pay $4.00 for 1,000 results
Extract data about videos, users, and channels based on hashtags or scrape full user profiles including posts, total likes, name, nickname, numbers of comments, shares, followers, following, and more.
Actor Metrics
2.6k Monthly users
4.7 / 5 (22)
407 bookmarks
98% runs succeeded
19 hours response time
Created in Feb 2022
Modified 3 hours ago
You can access the TikTok Data Extractor programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using TikTok Data Extractor via Model Context Protocol (MCP) server
MCP server lets you use TikTok Data Extractor within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId
and use it to communicate with the MCP server. The message starts the TikTok Data Extractor Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": { # Actor inputs
7 ...
8 },
9 "name": "OtzYfK1ndEGdwWFKQ"
10 }
11}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}
Configure local MCP Server via standard input/output for TikTok Data Extractor
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2"mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y", "@apify/actors-mcp-server",
7 "--actors", "OtzYfK1ndEGdwWFKQ"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}
You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.