---

name: skroller description: Automated social media content collection and analysis across platforms (Twitter/X, Instagram, TikTok, Reddit, LinkedIn, YouTube, Product Hunt, Medium, GitHub, Pinterest). Use when you need to: (1) scrape public posts programmatically, (2) analyze content by keywords or filters, (3) monitor brand mentions or trends for research, (4) curate content for personal analysis, (5) archive publicly available information, or (6) generate digests from scraped feeds. Always comply with platform ToS and applicable privacy laws.

Skroller - Social Media Content collection

Automate the collection and analysis of publicly available social media content. This skill handles content collection, filtering, and export with compliance safeguards.

⚖️ Legal & Compliance Requirements

Before using this skill:

1. Review Platform ToS - Each platform has different rules about automated access
2. Check robots.txt - Respect disallowed paths
3. Rate Limiting - Stay within platform rate limits to avoid service disruption
4. Privacy Laws - GDPR, CCPA, and other regulations apply to personal data
5. Permitted Use - Research, personal analysis, competitive intelligence (where allowed)
6. Prohibited Use - Spam, harassment, data resale, manipulation, bypassing auth

Data Protection:

• Anonymize personal data when storing
• Honor deletion requests (GDPR Art. 17)
• Limit retention to necessary periods
• Document lawful basis for processing
• Do not scrape sensitive personal data

Core Capabilities

• Content collection - Gather publicly available posts from platforms
• Data extraction - Pull text, timestamps, engagement metrics, author info
• Smart filtering - Filter by keywords, hashtags, date ranges, engagement thresholds
• Deduplication - Track seen posts to avoid duplicates across sessions
• Export formats - JSON, CSV, Markdown, or direct to note apps (Bear/Obsidian)
• Rate limiting - Respect platform constraints and avoid service disruption

Platform Support

Platform	Approach	Notes
Twitter/X	Browser automation	Use Playwright; handle login if needed
Instagram	Browser automation	Rate-limited; use sparingly
TikTok	Browser automation	Heavy JS; may need longer waits
Reddit	API + browser	Prefer API where possible
LinkedIn	Browser automation	Login required for most content
YouTube	API + browser	Comments via browser, videos via API
Product Hunt	Browser automation	Product discovery, launches
Medium	Browser automation	Articles, blog posts
GitHub	Browser automation	Issues, discussions, repos
Pinterest	Browser automation	Visual content, pins

Quick Start

Basic Scroll and Extract

# Scroll Twitter feed, extract 50 posts about "AI"
node scripts/skroller.js --platform twitter --query "AI" --limit 50 --output posts.json

Monitor Brand Mentions

# Monitor Reddit for brand mentions, export to Markdown
node scripts/skroller.js --platform reddit --query "mybrand" --format markdown --output mentions.md

Competitive Research

# Scroll competitor Instagram, capture top posts by engagement
node scripts/skroller.js --platform instagram --profile @competitor --min-likes 1000 --output competitor-posts.json

Scripts

scripts/skroller.js - Main scrolling engine

JavaScript script using Playwright for browser automation.

# Using npm scripts (recommended)
npm run scroll -- --platform twitter --query "AI" --limit 50 --output posts.json

# Direct execution
node scripts/skroller.js --platform twitter --query "AI" --limit 50 --output posts.json

Options:

• --platform - Target platform (required): twitter, reddit, instagram, tiktok, linkedin, youtube, producthunt, medium, github, pinterest
• --query - Search keyword/hashtag
• --profile - Specific profile to scroll
• --limit - Max posts to scrape (default: 50)
• --min-likes - Filter by minimum engagement
• --format - Output format: json, csv, markdown (default: json)
• --output - Output file path
• --screenshot - Capture screenshots for debugging
• --dedupe - Skip previously seen posts

scripts/feed-digest.js - Generate digests

Creates summary digests from exported post data.

npm run digest -- --input posts.json --output digest.md
# or: node scripts/feed-digest.js --input posts.json --output digest.md

scripts/export-to-notes.js - Unified note app exporter

Exports scraped posts to multiple note applications with a single command.

Supported apps: Bear, Obsidian, Notion, Apple Notes, Evernote, OneNote, Google Keep, Roam Research, Logseq, Anytype

# Using npm scripts (recommended)
npm run export -- --input posts.json --app obsidian --vault ~/Documents/Obsidian

# Direct execution
node scripts/export-to-notes.js --input posts.json --app bear --tags "ai,research"
node scripts/export-to-notes.js --input posts.json --app notion --api-key $NOTION_TOKEN
node scripts/export-to-notes.js --input posts.json --app apple-notes
node scripts/export-to-notes.js --input posts.json --app evernote --output export.enex
node scripts/export-to-notes.js --input posts.json --app one-note --access-token $MS_TOKEN
node scripts/export-to-notes.js --input posts.json --app keep --output keep.html
node scripts/export-to-notes.js --input posts.json --app roam --output roam.md
node scripts/export-to-notes.js --input posts.json --app logseq --vault ~/Documents/Logseq
node scripts/export-to-notes.js --input posts.json --app anytype --output anytype.md
node scripts/export-to-notes.js --input posts.json --app obsidian --dry-run

Configuration: Set defaults in .skroller-config.json:

{
  "export": {
    "defaultApp": "obsidian",
    "vault": "~/Documents/Obsidian",
    "folder": "Skroller",
    "notionDatabaseId": "<db-id>"
  }
}

Requirements by app:

• Bear: grizzly CLI (go install github.com/tylerwince/grizzly/cmd/grizzly@latest)
• Obsidian: Vault path
• Notion: API key (create at notion.so)
• Apple Notes: macOS with Notes app
• Evernote: Manual ENEX import
• OneNote: Microsoft Graph access token
• Google Keep: Manual HTML import
• Roam Research: Markdown import (drag MDL file into Roam)
• Logseq: Vault path (writes to pages/ folder)
• Anytype: Markdown import (use Anytype Import feature)

Configuration

.skroller-config.json

Store default settings:

{
  "defaultLimit": 50,
  "scrollDelayMs": 1500,
  "userAgent": "Mozilla/5.0 ...",
  "platforms": {
    "twitter": {
      "loginRequired": false,
      "rateLimit": "100 requests/hour"
    },
    "instagram": {
      "loginRequired": true,
      "rateLimit": "50 requests/hour"
    }
  },
  "export": {
    "defaultFormat": "json",
    "includeImages": true,
    "includeMetrics": true
  }
}

Authentication

Some platforms require login. Store credentials securely:

# For platforms requiring auth, set environment variables
export SKROLLR_TWITTER_COOKIE="<auth cookie>"
export SKROLLR_INSTAGRAM_USER="<username>"
export SKROLLR_INSTAGRAM_PASS="<password>"

Security note: Never commit auth files. Use .env with .gitignore.

Output Structure

JSON Output (default)

{
  "platform": "twitter",
  "query": "AI",
  "scrapedAt": "2026-03-14T20:30:00Z",
  "posts": [
    {
      "id": "1234567890",
      "author": "@username",
      "text": "Post content here...",
      "timestamp": "2026-03-14T18:00:00Z",
      "likes": 150,
      "retweets": 42,
      "replies": 12,
      "url": "https://twitter.com/...",
      "media": ["image1.jpg"],
      "hashtags": ["#AI", "#ML"]
    }
  ]
}

Markdown Output

## Twitter Posts: "AI" (2026-03-14)

### @username - 150 likes
Post content here...

[View post](https://twitter.com/...)

---

Filtering Strategies

Keyword Matching

• Exact match: "exact phrase"
• Boolean: AI AND (startup OR venture)
• Exclude: AI -crypto

Engagement Thresholds

• Filter low-quality: --min-likes 100
• Viral content: --min-shares 500

Time Windows

• Recent only: --date-from 2026-03-14
• Historical: --date-from 2026-01-01 --date-to 2026-01-31

Best Practices

Rate Limiting

• Add delays between scrolls: --delay 2000
• Respect platform limits (see config)
• Use proxies for high-volume scraping

Content Quality

• Filter by engagement to find signal
• Dedupe across sessions
• Export with timestamps for freshness tracking

Ethics & Compliance

• Check platform ToS before scraping
• Don't scrape personal data at scale
• Use for research/curation, not spam

Troubleshooting

Scroll stops early

• Increase --limit or check for login requirements
• Some platforms detect automation; add random delays

Missing content

• Some platforms lazy-load; increase scroll delay
• Try --screenshot to debug what's visible

Rate limited

• Reduce frequency; use --delay
• Check platform-specific rate limits in config

Integration with Other Skills

• bear-notes: Export via export-to-notes.js --app bear
• obsidian: Export via export-to-notes.js --app obsidian
• notion: Export via export-to-notes.js --app notion
• github: Create issues from scraped feedback/mentions

# Scroll and export to Obsidian in one command
node scripts/skroller.js --platform twitter --query "AI" --limit 20 --output ai.json && \
  node scripts/export-to-notes.js --input ai.json --app obsidian --vault ~/Documents/Obsidian

# Scroll and export to Notion
node scripts/skroller.js --platform reddit --query "startups" --limit 30 --output startups.json && \
  node scripts/export-to-notes.js --input startups.json --app notion --api-key $NOTION_TOKEN

# Use npm scripts for cleaner commands
npm run scroll -- --platform twitter --query "tech" --limit 25 --output tech.json
npm run export -- --input tech.json --app bear --tags "tech,research"

See Also

• references/platform-details.md - Platform-specific selectors and quirks
• references/rate-limits.md - Rate limit guidelines per platform
• assets/selector-cheatsheet.md - CSS selectors for each platform