Pricing

$2.50 / 1,000 profiles

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Tiktok Profile Scraper

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Developed by

karamelo

⚡️ Extract 1000s of TikTok profiles data in minutes! 📈 from a list of usernames or URLs. Get followers count, following count , likes hearts count , bio, video count, and much more data. 💾 Export to JSON, CSV, Excel, XML... 🚀 Automate your TikTok analysis!

3.4 (2)

Pricing

$2.50 / 1,000 profiles

Total users

446

Monthly users

Runs succeeded

>99%

Last modified

2 months ago

Social media

Lead generation

Automation

You can access the Tiktok Profile 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, 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=karamelo/tiktok-profile-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Tiktok Profile Scraper

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=karamelo/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=karamelo/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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