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TikTok comments for research v1.0.0
Use this resource to collect and clean TikTok comments for an audience study
New
- 523 downloads
- 234 likes
- 146 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install tiktok-comment-research-datasetWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent defines the study goal, runs apidojo's TikTok Comments actor, cleans the dataset, then analyzes it according to that goal. You get comments with author, text, likes, replies and date.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: goal definition, prerequisites and run
- SKILL.md: dataset cleaning, goal-based analysis and exports
Good fit for
- You study what an audience thinks about a product
- You prepare an academic study based on comments
Not for
Tags
- tiktok
- comments
- research
- audience
About
You say
“Collect and analyze TikTok comments on this brand's new sneakers for a perception study.”
Skill published by apidojo-io under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to collect and clean TikTok comments for an audience study
- Review and adjust the result
Content preview
Files
- LICENSE10.6 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md6.8 KB
Origin and licence
Listed unmodified
- Author
- apidojo-io
- Source
- github.com/apidojo-io/apidojo-skills/tree/ffbdc00cbd01d09802e7f389ac4f61d4803972a7/skills/intent/extracting-tiktok-comments-for-research
- Licence
- Apache-2.0
Notice
« extracting-tiktok-comments-for-research » (apidojo-io, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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