# Comment Mining

Use when the user wants to mine comments and replies for audience reactions, customer...

- Repository: https://github.com/ScrapeCreators/social-media-research-skills (5252 stars)
- Category: Media
- License: MIT
- Last updated: 2026-08-26
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -g -a claude-code -y`
Codex: `npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -g -a codex -y`
Cursor: `npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -g -a cursor -y`
Gemini CLI: `npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add ScrapeCreators/social-media-research-skills`

## Description

Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Comment Mining

## Overview

Mine public comments for what people actually ask, complain about, want, misunderstand, or repeat. The output should help with product research, content ideas, copywriting, objection handling, and audience understanding.

## When to Use

Use this skill when the user asks to:

- analyze comments on a TikTok, YouTube video, Instagram Reel, Facebook post, Reddit post, or Rumble video
- find audience questions, objections, complaints, or buying intent
- extract voice-of-customer language
- find content ideas from comments
- understand sentiment around a post, creator, product, or topic

## Comment Sources

| Platform | Endpoint |
|---|---|
| TikTok comments | `/v1/tiktok/video/comments` |
| TikTok replies | `/v1/tiktok/video/comment/replies` |
| YouTube comments | `/v1/youtube/video/comments` |
| YouTube replies | `/v1/youtube/video/comment/replies` |
| Instagram comments | `/v2/instagram/post/comments` |
| Facebook comments | `/v1/facebook/post/comments` |
| Facebook replies | `/v1/facebook/post/comment/replies` |
| Reddit comments | `/v1/reddit/post/comments` |
| Rumble comments | `/v1/rumble/video/comments` |

## Workflow

1. **Fetch comments**
   - Use the post/video URL whenever possible.
   - Paginate when the endpoint supports it and the user wants depth.
   - Preserve comment text, author if public, like/upvote count, timestamp, and source URL.

2. **Clean lightly**
   - Remove obvious spam/duplicates.
   - Keep slang, misspellings, and emotional wording if it is useful customer language.
   - Do not over-normalize exact quotes.

3. **Classify each useful comment**
   Use these buckets:
   - questions
   - objections
   - complaints/pain points
   - praise
   - confusion
   - requests/feature ideas
   - buying intent
   - controversy/debate
   - jokes/memes/culture signals

4. **Cluster themes**
   - Group similar comments.
   - Score themes by frequency and intensity.
   - Highlight exact quotes for each theme.

The rest: https://github.com/ScrapeCreators/social-media-research-skills/blob/HEAD/skills/comment-mining/SKILL.md