Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Switched from mcporter CLI to mcpc CLI for actor schema and metadata fetching. - Updated required system binaries and node package to "@apify/mcpc". - Revised prerequisite steps and command examples to use mcpc instead of mcporter. - Updated troubleshooting steps to reference mcpc installation and errors.
What This Skill Does
Extracts and analyzes competitor data from Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok using Apify Actors. Each platform has dedicated scrapers for ads, reviews, profiles, posts, and engagement metrics. Results can be exported as CSV, JSON, or summarized directly in chat.
Covers six major platforms through a single workflow instead of requiring separate scrapers or manual data collection for each.
When to use it
- Pulling a rival hotel's guest reviews from Booking.com for benchmarking
- Monitoring a competitor's active Facebook ad creatives and formats
- Comparing Instagram follower growth and post engagement across brands
- Extracting Google Maps ratings and contact info for local competitors
- Analyzing a competitor's TikTok video performance and content strategy
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What ads is my competitor running on Facebook?
- 1Selects the apify/facebook-ads-scraper Actor for ad creative analysis
- 2Fetches the Actor's input schema via mcpc to identify required parameters
- 3Asks user for output format (chat summary, CSV, or JSON) and result count
- 4Runs run_actor.js with the competitor's Facebook page URL as input
- 5Summarizes active ad creatives, formats, and messaging patterns found
A list of the competitor's active Facebook ads with creative details, displayed in chat or saved to a CSV file
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.