Pricing

$0.30 / 1,000 comments

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🏯 Tiktok Comments Scraper (Pay Per Result)

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Developed by

API Dojo

Praise the most outstanding Tiktok Comment Scraper ever! It stands as the most comprehensive solution available in the market, offering an all-in-one solution for obtaining data from Tiktok.com. It delivers unparalleled speed, unmatched support, and remarkable flexibility.

0.0 (0)

Pricing

$0.30 / 1,000 comments

Total users

575

Monthly users

Runs succeeded

99%

Issues response

15 hours

Last modified

an hour ago

SEO tools

Lead generation

You can access the 🏯 Tiktok Comments 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-comments-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with 🏯 Tiktok Comments 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-comments-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-comments-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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