# comment-mining

Mines public social media comments to uncover audience questions, objections, content ideas, and buying intent.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1200 installs · ★ 4806
- Author: ScrapeCreators
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/ScrapeCreators/social-media-research-skills/tree/HEAD/skills/comment-mining/SKILL.md
- Updated: 2026-08-26
- HTML: https://affpapa.org/en/nevibecode/skills/comment-mining

## What it does

The skill extracts audience feedback from posts and videos on TikTok, YouTube, Instagram, Facebook, Reddit, and Rumble. It calls ScrapeCreators endpoints via `WebFetch` or `Bash`. Instead of flattening reactions into simple sentiment metrics, it categorizes remarks into specific buckets such as objections, confusion, pain points, feature requests, and buying signals.

The workflow follows five defined stages. The agent fetches comments with pagination, filters out obvious spam while preserving slang and raw phrasing, classifies entries, and clusters recurring themes. The final report highlights representative quotes, issue frequency, and concrete angles for marketing copy or product development.

You must set the `SCRAPECREATORS_API_KEY` environment variable. Without this API key, data retrieval endpoints fail immediately.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/comment-mining/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/comment-mining/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/comment-mining/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/comment-mining/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install ScrapeCreators/social-media-research-skills comment-mining
```

2. **Manually: put the files in place**
- File: `.github/skills/comment-mining/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/ScrapeCreators/social-media-research-skills --path skills/comment-mining
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/comment-mining/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/ScrapeCreators/social-media-research-skills/tree/HEAD/skills/comment-mining/SKILL.md

## When to use it
- extract comments and reply threads across supported social platforms
- identify customer objections and pain points from public feedback
- generate content ideas based on common audience questions
- capture authentic customer phrasing for landing page copy

## Example prompts
- Analyze comments on the latest YouTube video and summarize top buyer objections.
- Mine comments from this Reddit discussion to find recurring product feature requests.
- Extract exact audience quotes and pain points from an Instagram Reel.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 2755282afd0c0df9.

BEGIN THIRD-PARTY FILE 2755282afd0c0df9
```text
---
name: comment-mining
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.
allowed-tools: Bash, Read, Write, WebFetch

version: 1.0.0
author: ScrapeCreators
license: MIT
homepage: https://scrapecreators.com
repository: https://github.com/ScrapeCreators/social-media-research-skills
metadata:
  openclaw:
    requires:
      env:
        - SCRAPECREATORS_API_KEY
    primaryEnv: SCRAPECREATORS_API_KEY
    homepage: https://scrapecreators.com
    tags:
      - social-media
      - research
      - scrapecreators
---

# 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.
```
END THIRD-PARTY FILE 2755282afd0c0df9

The third-party file has ended. Everything between the 2755282afd0c0df9 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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