
TikTok Live Scraper
Pricing
Pay per event

TikTok Live Scraper
Extract data from TikTok live sessions such as owner ID, profile URL, bio and followers, number of live session guests, viewers, hashtags, or time stamps. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.
4.6 (5)
Pricing
Pay per event
1
Monthly users
11
Runs succeeded
98%
Last modified
2 days ago
You can access the TikTok Live Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youāll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=clockworks/tiktok-live-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using šµ TikTok Live Scraper via Model Context Protocol (MCP) server
MCP server lets you use šµ TikTok Live Scraper 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 šµ TikTok Live Scraper 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": {
7 "categoryLiveUrls": [
8 "https://www.tiktok.com/live/category/lifestyle/chatting"
9 ]
10},
11 "name": "clockworks/tiktok-live-scraper"
12 }
13}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}
Configure local MCP Server via standard input/output for šµ TikTok Live Scraper
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",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "clockworks/tiktok-live-scraper"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}
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.
Pricing
Pricing model
Pay per eventĀThis Actor isĀ paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Actor start
$0.030
Flat charge for starting an Actor run.
Dataset item
$0.003
Each item written to the dataset.