Scrape Twitch with AI

# Scrape Twitch — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Extract Twitch stream data, channel stats, chat messages, and viewer metrics using Apify and Claude Code.
**Apify Actor:** `apify/twitch-scraper`
**Pricing:** ~$0.35 per 1,000 channels
## Capabilities
1. **Channel Analytics** — Pull follower count, subscriber count, average viewers, stream schedule, and channel description.
2. **Stream Metadata** — Extract current and past stream titles, categories, tags, duration, and viewer peaks.
3. **VOD & Clip Data** — Access video-on-demand metadata, popular clips, and clip view counts.
4. **Category Trends** — Track which game/category is trending, viewer counts per category, and streamer counts.
5. **Chat Analysis** — Capture chat messages, emote usage, and chat activity rates during streams.
## Pipeline
1. **Define targets** — Specify Twitch channel names, game categories, or search queries
2. **Scrape channels** — Extract channel stats, stream schedules, VOD data, and clip metadata
3. **Analyze patterns** — Calculate growth rates, identify peak streaming times, and rank by engagement
4. **Load into CRM** — Push streamer profiles and engagement data into Neon database
## Use Cases
- **Influencer discovery:** Find Twitch streamers in your niche with engaged audiences. Filter by category, follower count, and average viewers to build targeted sponsorship lists.
- **Content trend monitoring:** Track which categories and content themes are growing on Twitch. Identify emerging trends in tech, gaming, and creative categories.
- **Competitive sponsorship tracking:** Monitor which streamers your competitors sponsor, what categories they invest in, and how their sponsored streams perform.
- **Community sentiment analysis:** Analyze chat activity and clip popularity to understand community reactions to products, announcements, and trends.
## Warnings
- Twitch's API has rate limits of 800 requests per minute. The Apify actor manages this automatically, but very large scrapes may take time.
- Live viewer counts fluctuate rapidly. Scrape data represents a snapshot — schedule multiple scrapes for reliable averages.
- Chat data volume can be enormous for popular streams. Set message count limits when scraping chat to control costs.
## Sample Output
```json
{
  "channelId": "123456789",
  "username": "techbuilder",
  "displayName": "TechBuilder",
  "description": "Building SaaS products live. Join the journey.",
  "followers": 45600,
  "subscribers": 890,
  "averageViewers": 234,
  "peakViewers": 1200,
  "totalViews": 2340000,
  "lastStreamTitle": "Building a CRM from scratch - Day 3",
  "lastStreamCategory": "Software and Game Development",
  "lastStreamDate": "2026-03-24T18:00:00Z",
  "streamDays": ["Monday", "Wednesday", "Friday"],
  "topClip": {
    "title": "When the deploy actually works",
    "views": 89000,
    "duration": 30
  }
}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.