TikTok Comments From Post

Give it a TikTok video URL, get back the comments and the profiles that left them.

What it does

• Collects comments and commenter profiles from one TikTok video.
• One call, not pages — set max_results between 1 and 100. Default is 10.
• Useful for building warm lead lists from an engaged audience: people who commented on a video about your category.
• Returns TikTok profiles. There is no email and no job title in the response.

This gives you commenters. Any contact detail has to come from a separate enrichment step — match the person on LinkedIn with find_people, then run find_work_email.

Parameters

How to use it

Search TikTok for videos about "sales automation" and show me the ones with
the most comments.

Collect the comments from that video. 100 results.

Group the comments by theme. What problem do these people keep describing?

Keep the commenters whose profile names a business or a role. Drop the rest.

Example prompts

Best prompting practices

• Raise max_results. The default of 10 is a sample, not a list. 100 is the ceiling.
• Use it for research before outreach. TikTok comments are strong for language and objections, weaker for identity — the words are often more valuable than the names.
• Chain a search first. tiktok_search_query finds the videos worth reading; this tool reads them.
• Do not expect firmographics. No company, no title, no email. Plan the enrichment step separately.
• Cap the batch. “Pull comments from these 20 videos, then stop and report credits used.”

Output

{
  "comments": [
    {
      "username": "janedoe",
      "text": "We spent months on this and still export to CSV.",
      "likes": 42,
      "profile_url": "https://tiktok.com/@janedoe"
    }
  ]
}

Credits and limits

0.3 credits per call, flat, whatever max_results you set. Maximum 100 comments per call. Run check_credits (free) before working through a list of videos.

Related tools

Next steps

• Automated Outbound — build a warm list from post engagement, end to end
• All MCP tools — the full catalogue with credit costs

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.