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TikTok Videos Scraper

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TikTok Videos Scraper

TikTok Videos Scraper

easyapi/tiktok-videos-scraper
Try for free

2 hours trial then $19.99/month - No credit card required now

Scrape TikTok video search results with advanced filtering capabilities. Extract comprehensive video metadata including engagement stats, author info, and hashtag details. Perfect for social media analysis and content research.

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Maintained by Community

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  • 7 Monthly users

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  • >99% runs succeeded

  • Created in Oct 2024

  • Modified 2 months ago

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You can access the TikTok Videos Scraper 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 Videos Scraper via Model Context Protocol (MCP) server

MCP server lets you use TikTok Videos 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 TikTok Videos 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": {  # Actor inputs
7        "keywords": ...,
8        ...
9    },
10    "name": "FaepBXrCEcCzzg0Yr"
11  }
12}'

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 Videos 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", "@apify/actors-mcp-server",
7      "--actors", "FaepBXrCEcCzzg0Yr"
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.