🏯 Tiktok Scraper (Pay Per Result) avatar
🏯 Tiktok Scraper (Pay Per Result)

Pricing

$0.30 / 1,000 posts

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🏯 Tiktok Scraper (Pay Per Result)

🏯 Tiktok Scraper (Pay Per Result)

Developed by

API Dojo

API Dojo

Maintained by Community

The most complete and effective solution for extracting data from TikTok.com. User, Profile, Hashtag, Music, Location, Tag, and many other support is just the beginning. The intelligent algorithm allows TikTok Scraper to retrieve any posts/videos around the platform in the blink of an eye!

5.0 (2)

Pricing

$0.30 / 1,000 posts

136

Total users

2.1K

Monthly users

418

Runs succeeded

98%

Issues response

7.4 hours

Last modified

21 hours ago

You can access the 🏯 Tiktok Scraper (Pay Per Result) programmatically from your own applications by using the Apify API. You can also 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.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=apidojo/tiktok-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with 🏯 Tiktok Scraper (Pay Per Result)

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=apidojo/tiktok-scraper along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=apidojo/tiktok-scraper",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.