apify-competitor-intelligence

---
name: apify-competitor-intelligence
description: Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
version: 1.0.1
source: https://github.com/apify/agent-skills
homepage: https://apify.com
metadata:
  openclaw:
    requires:
      env:
        - APIFY_TOKEN
      bins:
        - node
        - mcpc
    primaryEnv: APIFY_TOKEN
    install:
      - kind: node
        package: "@apify/mcpc"
        bins: [mcpc]
---

# Competitor Intelligence

Analyze competitors using Apify Actors to extract data from multiple platforms.

## Prerequisites

- `APIFY_TOKEN` configured in OpenClaw settings
- Node.js 20.6+
- `mcpc` CLI (auto-installed via skill metadata)

## Input Sanitization Rules

Before substituting any value into a bash command:
- **ACTOR_ID**: Must be either a technical name (`owner/actor-name` — alphanumeric, hyphens, dots, one slash) or a raw ID (exactly 17 alphanumeric characters, e.g., `oeiQgfg5fsmIJB7Cn`). Reject values containing shell metacharacters (`` ; | & $ ` ( ) { } < > ! \n ``).
- **SEARCH_KEYWORDS**: Plain text words only. Reject shell metacharacters.
- **JSON_INPUT**: Must be valid JSON. Must not contain single quotes (use escaped double quotes). Validate structure before use.
- **Output filenames**: Must match `YYYY-MM-DD_descriptive-name.{csv,json}`. No path separators (`/`, `..`), no spaces, no metacharacters.

## Workflow

Copy this checklist and track progress:

```
Task Progress:
- [ ] Step 1: Identify competitor analysis type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analysis script
- [ ] Step 5: Summarize findings
```

### Step 1: Identify Competitor Analysis Type

Select the appropriate Actor based on analysis needs:

| User Need | Actor ID | Best For |
|-----------|----------|----------|
| Competitor business data | `compass/crawler-google-places` |