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from $0.50 / 1,000 comments

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TikTok Comments Scraper

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Developed by

Clockworks

Extract TikTok comments. Just add a TikTok URL and get TikTok video and profile data: comments, URLs, numbers of shares, followers, hashtags, hearts, video, and music metadata. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

4.3 (14)

Pricing

from $0.50 / 1,000 comments

156

Total users

10K

Monthly users

1.9K

Runs succeeded

96%

Issues response

12 hours

Last modified

a day ago

Social media

Videos

You can access the TikTok Comments 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=clockworks/tiktok-comments-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with 💬 TikTok Comments 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=clockworks/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=clockworks/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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