Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Instagram Analyzer
Analyze Instagram profiles and posts with detailed engagement metrics, view tracking, follower ratios, and Reels-focused analytics with JSON/CSV export.
skill openclawclawhub Free
Analyze Instagram profiles and posts with detailed engagement metrics, view tracking, follower ratios, and Reels-focused analytics with JSON/CSV export.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, config/analyzer_config.json, requirements.txt, scripts/instagram_analyzer.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- TevfikGulep
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Instagram Analyzer
A comprehensive Instagram profile and post analysis tool with engagement metrics, view tracking, and Reels-focused analytics. --- name: instagram-analyzer description: Analyze Instagram profiles and posts with engagement metrics, view counts, follower ratios, and Reels analytics. emoji: 📊 version: 1.0.0 author: Sencer tags: - instagram - analytics - engagement - reels - influencer metadata: clawdbot: requires: bins: - python3 - chromium pip: - playwright - beautifulsoup4 - lxml config: stateDirs: - data/output - data/profiles - data/posts outputFormats: - json - csv ---
📊 Single Post Analysis
✅ Like count ✅ Comment count ✅ Save count ✅ View count (Reels) ✅ Follower count ✅ View-to-Follower ratio (%) ✅ Time posted (hours/days ago)
👤 Profile Analysis
✅ Minimum 60 posts analyzed ✅ Reels-focused analytics ✅ All Reels links extraction ✅ Engagement rate calculations ✅ JSON/CSV export
🔧 Technical
🌐 Browser simulation with Playwright 🛡️ Stealth mode (human behavior) 📁 Structured JSON/CSV output ⚡ Batch processing support
Profile Analysis (Default: Reels Only! 🎯)
# Full profile analysis - REELS FOCUS (default behavior) analyze-profile "username" # With custom post count analyze-profile "username" --posts 60 # All posts (including regular posts) analyze-profile "username" --include-posts
Single Post Analysis
# Analyze a Reel/post URL analyze-post "https://www.instagram.com/reel/ABC123xyz/" # With JSON output analyze-post "https://www.instagram.com/reel/ABC123xyz/" --output json
Single Post Response
{ "post_type": "reel", "url": "https://www.instagram.com/reel/ABC123xyz/", "username": "example_user", "metrics": { "views": 125000, "likes": 8542, "comments": 312, "saves": 892, "followers": 125000, "shares": 156 }, "ratios": { "view_to_follower_percent": 100.0, "like_to_view_percent": 6.83, "comment_to_view_percent": 0.25, "save_to_view_percent": 0.71 }, "timing": { "posted_at": "2026-02-11T14:30:00", "time_ago": "6 hours ago", "age_hours": 6 } }
Profile Analysis Response
{ "profile": { "username": "example_user", "full_name": "Example User", "followers": 125000, "following": 1500, "posts_count": 450, "is_verified": false }, "analysis_summary": { "total_posts_analyzed": 60, "reels_analyzed": 45, "analysis_mode": "reels_only", "total_views": 5420000, "average_views": 120444, "average_engagement_rate": 8.2, "top_reels": [...], "reels_links": [ "https://www.instagram.com/reel/ABC123/", "https://www.instagram.com/reel/DEF456/", ... ] }, "engagement_breakdown": { "avg_likes": 8542, "avg_comments": 312, "avg_saves": 892, "engagement_rate": 7.8 } }
📈 Engagement Metrics Explained
MetricFormulaInterpretationView Rate(Views / Followers) × 100How many followers actually watchedEngagement Rate((Likes + Comments + Saves) / Views) × 100Overall audience interactionLike Rate(Likes / Views) × 100Content appreciationSave Rate(Saves / Views) × 100Content value indicator
⚙️ Configuration
Edit config/analyzer_config.json: { "scraper": { "headless": false, "min_followers": 1000, "posts_to_analyze": 60, "scroll_pause": 2, "timeout": 30000 }, "browser": { "stealth_mode": true, "human_behavior": true, "user_agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 16_0 like Mac OS X)" }, "output": { "default_format": "json", "save_reels_links": true, "export_csv": true } }
📁 File Outputs
Profile data: data/profiles/{username}.json Post analysis: data/posts/{post_id}.json Batch results: data/output/batch_{timestamp}.json Reels links: data/output/{username}_reels.txt
Login Required
Some metrics require login (view count, saves) Configure Instagram credentials in .env
Rate Limiting
Increase scroll_pause in config Reduce batch size Use multiple accounts
Missing Data
Check if account is private Verify post exists and is accessible Instagram may hide some metrics
📝 Requirements
Python 3.8+ Playwright Chromium browser BeautifulSoup4 lxml parser
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Config1 Docs1 Scripts1 Files
- SKILL.md
- scripts/instagram_analyzer.py
- _meta.json
- config/analyzer_config.json
- requirements.txt