KeyAPI Instagram Content Discovery for Openclaw

A high-performance skill for deep Instagram content exploration, trend analysis, and audience signal discovery.

lycici
v1.0.0
Apr 2, 2026
0
590
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install keyapi-instagram-content-discovery

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install keyapi-instagram-content-discovery 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 KeyAPI Instagram Content Discovery?

This skill provides a comprehensive toolkit for AI agents to interact with the vast Instagram content ecosystem through the KeyAPI MCP service. It allows developers to programmatically search for posts, analyze comment sentiment, track trending music, and explore geographic locations to surface actionable insights. By integrating this into your workflow, you can automate the process of gathering content intelligence using Openclaw Skills.

The skill is designed for high-scale discovery, supporting everything from simple post lookups to complex nested comment analysis and geo-targeted research. It handles the complexities of ID normalization and real-time data retrieval, making it an essential asset for building sophisticated social media monitoring and analysis tools.

KeyAPI Instagram Content Discovery Use Cases

  • Auditing post engagement and sentiment analysis through comment thread deep-dives.
  • Identifying trending content and niche influencers by searching specific hashtags or Reels keywords.
  • Mapping geographic content patterns using coordinate-based location discovery.
  • Attributing content trends to specific audio tracks for music-driven marketing strategies.
  • Monitoring the Instagram Explore page to understand platform-wide content surfacing trends.

How KeyAPI Instagram Content Discovery Works

  1. Identify the research objective, such as post analysis, hashtag discovery, or music trend tracking.
  2. Resolve content identifiers by converting shortcodes to media IDs or vice versa to ensure data consistency.
  3. Inspect the specific tool schema via the CLI to confirm parameter requirements, particularly for array-based inputs.
  4. Query the local daily cache to determine if relevant data has already been fetched.
  5. Execute the API request through the KeyAPI MCP server using the provided token if a live update is required.
  6. Process the paginated results (using cursors or tokens) and synthesize the data into a structured report.

KeyAPI Instagram Content Discovery Setup

# 1. Install necessary SDK dependencies
npm install

# 2. Configure your KeyAPI environment variable
export KEYAPI_TOKEN=your_token_here

# 3. Verify the setup by listing the available Instagram discovery tools
node scripts/run.js --platform instagram --list-tools

KeyAPI Instagram Content Discovery Data Schema & Taxonomy

The skill organizes its retrieved intelligence in a structured local cache directory to optimize performance and reduce redundant API calls. Data is partitioned by date and tool name:

Level Component Description
Root .keyapi-cache/ Base directory for all cached content.
Date YYYY-MM-DD/ Daily partitions to ensure data freshness.
Tool get_post_info/, etc. Sub-directories categorized by the specific API node.
File {params_hash}.json Individual JSON responses indexed by hashed input parameters.

KeyAPI Instagram Content Discovery Advanced Features

  • Automated local caching policy that prioritizes disk-read over network requests for efficiency.
  • Comprehensive support for multiple pagination schemas including pagination_token, end_cursor, and max_id.
  • Robust error handling with automatic retry logic for transient 500-level server errors.
  • Specialized Reels discovery supporting keyword-based search with array-type parameter validation.
  • Hyper-local discovery capabilities via GPS coordinate searches for venue and region-specific content.

SKILL.md


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