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🏯 Tiktok Profile Scraper (Pay Per Result)

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Developed by

API Dojo

Looking for Lead Generation? Intelligence over any TikTok user, or just keep track of any person? The TikTok Profile Scraper is ready for your consumption. This actor is known as the most customized yet stable and effective solution for extracting Profile data from TikTok.com.

0.0 (0)

Pricing

$0.30 / 1,000 posts

Total users

644

Monthly users

119

Runs succeeded

>99%

Issues response

2.6 days

Last modified

21 hours ago

Lead generation

Social media

You can access the 🏯 Tiktok Profile 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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

Configure MCP server with 🏯 Tiktok Profile 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-profile-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-profile-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.

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