A specialized tool for extracting deep engagement metrics and Reels-focused analytics from Instagram profiles and posts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install instagram-analyzer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install instagram-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Instagram Analyzer?
The Instagram Analyzer is a robust tool designed for deep-dive social media forensics. It leverages automated browser simulation to bypass standard limitations, providing detailed insights into profile performance, follower ratios, and content engagement. By integrating these Openclaw Skills into your workflow, you can automate the collection of likes, comments, saves, and view counts, specifically optimized for Instagram Reels.
This skill is particularly valuable for developers and marketers who need structured data from social media without manual scraping. It handles technical complexities like stealth browser simulation and human behavior patterns to ensure reliable data retrieval from one of the world's most popular social platforms.
Instagram Analyzer Use Cases
- Influencer auditing to verify engagement authenticity and follower-to-view ratios.
- Competitor research to identify high-performing Reels trends and content strategies.
- Automated campaign reporting for digital marketing agencies managing multiple clients.
- Content optimization by analyzing specific metrics like Save Rate and View Rate.
How Instagram Analyzer Works
- The agent initializes a stealth-mode browser session using Playwright and Chromium to mimic a real user.
- It navigates to the specified Instagram profile or post URL while simulating human-like scrolling and pausing.
- For profile analysis, the tool aggregates data from a minimum of 60 posts to provide a statistically significant sample.
- The scraper extracts raw data points including like counts, comments, and specific Reels metrics like view and save counts.
- The system processes these raw numbers to calculate advanced engagement ratios (e.g., Like-to-View percent).
- Structured data is then saved in JSON or CSV format for further analysis or integration.
Instagram Analyzer Setup
To get started with these Openclaw Skills, ensure you have Python 3.8+ and the necessary browser drivers installed.
# Install required Python dependencies
pip install playwright beautifulsoup4 lxml
# Install the Chromium browser engine
playwright install chromium
# Run a profile analysis (default Reels focus)
analyze-profile "username" --posts 60
Instagram Analyzer Data Schema & Taxonomy
The Instagram Analyzer organizes its output into a structured file hierarchy for easy access:
| File Type | Location | Description |
|---|---|---|
| Profile Data | data/profiles/{username}.json |
Contains metadata like follower count and verification status. |
| Post Metrics | data/posts/{post_id}.json |
Individual post details including engagement and timing. |
| Batch Results | data/output/batch_{timestamp}.json |
Aggregated metrics for multiple accounts or posts. |
| Reels Links | data/output/{username}_reels.txt |
A plain text list of all extracted Reel URLs. |
Instagram Analyzer Advanced Features
- Stealth mode with human behavior simulation to minimize the risk of rate limiting.
- Reels-focused analysis mode that prioritizes video content metrics over standard image posts.
- View-to-Follower ratio calculations to identify content that is reaching beyond the current audience.
- Configurable batch processing for high-volume data collection across multiple usernames.
SKILL.md
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