A specialized collector for extracting and analyzing Instagram profile metrics, engagement rates, and posting frequency via Apify integration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install instagram-collector-adarsh
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-collector-adarsh 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 Collector Skill?
The Instagram Collector Skill is a powerful automation tool designed to gather comprehensive profile data for any public Instagram handle. By leveraging the Apify Instagram Profile Scraper, it extracts critical performance metrics such as follower counts, post totals, and average engagement. This skill is essential for developers building marketing audit pipelines or social media monitoring tools within Openclaw Skills, providing a structured way to quantify social presence and content effectiveness without manual data entry.
Instagram Collector Skill Use Cases
- Generating automated marketing audit reports for brands and competitors.
- Monitoring influencer performance and engagement rates for campaign selection.
- Tracking posting frequency and hashtag trends across specific industry niches.
- Feeding social media data into larger business intelligence and data analytics workflows within Openclaw Skills.
How Instagram Collector Skill Works
- The skill receives a target Instagram handle (e.g., 'gymshark') from the calling pipeline.
- It initiates an asynchronous scraping run using the Apify Instagram Profile Scraper actor.
- The system polls the Apify service for completion, typically timing out after 60 seconds if data isn't retrieved.
- Once the dataset is ready, the skill maps the raw response to a structured interface.
- It calculates advanced metrics like engagement rate and posting frequency while extracting the top 10 most-used hashtags from recent captions.
Instagram Collector Skill Setup
To use this skill within Openclaw Skills, you must configure your environment with an Apify API token. Ensure you have the apifyService.ts utility available in your project.
# Set your Apify API Token
export APIFY_API_TOKEN='your_api_token_here'
# Install required dependencies if not already present
npm install winston
Ensure your project includes the EMPTY_INSTAGRAM_DATA constant in your audit types for proper error handling and fallback support.
Instagram Collector Skill Data Schema & Taxonomy
The skill returns a structured InstagramData object. Below is the schema for the collected profile information:
| Field | Type | Description |
|---|---|---|
| followers | number | Total number of followers |
| posts | number | Total number of posts on the profile |
| engagementRate | number | Percentage calculated as (avgLikes + avgComments) / followers * 100 |
| postingFrequency | string | Human-readable frequency (e.g., '1.2 posts/day') |
| topHashtags | string[] | Array of the top 10 most frequently used hashtags |
| error | string | Optional field containing error details if the collection fails |
Instagram Collector Skill Advanced Features
- Automatic engagement rate calculation logic with zero-follower safety checks to prevent division errors.
- Intelligent posting frequency analysis based on the timestamps of the last 30 posts to determine if a brand is active.
- Regex-based hashtag extraction from recent post captions to identify current content trends.
- Graceful degradation through the Openclaw Skills pipeline, ensuring that single-point failures do not block the entire audit process.
- Comprehensive logging using Winston for production-grade debugging and monitoring of API interactions.
SKILL.md
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