Apify Competitor Intelligence

Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.

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	Location analysis
Competitor contact discovery	poidata/google-maps-email-extractor	Email extraction
Feature benchmarking	compass/google-maps-extractor	Detailed business data
Competitor review analysis	compass/Google-Maps-Reviews-Scraper	Review comparison
Hotel competitor data	voyager/booking-scraper	Hotel benchmarking
Hotel review comparison	voyager/booking-reviews-scraper	Review analysis
Competitor ad strategies	apify/facebook-ads-scraper	Ad creative analysis
Competitor page metrics	apify/facebook-pages-scraper	Page performance
Competitor content analysis	apify/facebook-posts-scraper	Post strategies
Competitor reels performance	apify/facebook-reels-scraper	Reels analysis
Competitor audience analysis	apify/facebook-comments-scraper	Comment sentiment
Competitor event monitoring	apify/facebook-events-scraper	Event tracking
Competitor audience overlap	apify/facebook-followers-following-scraper	Follower analysis
Competitor review benchmarking	apify/facebook-reviews-scraper	Review comparison
Competitor ad monitoring	apify/facebook-search-scraper	Ad discovery
Competitor profile metrics	apify/instagram-profile-scraper	Profile analysis
Competitor content monitoring	apify/instagram-post-scraper	Post tracking
Competitor engagement analysis	apify/instagram-comment-scraper	Comment analysis
Competitor reel performance	apify/instagram-reel-scraper	Reel metrics
Competitor growth tracking	apify/instagram-followers-count-scraper	Follower tracking
Comprehensive competitor data	apify/instagram-scraper	Full analysis
API-based competitor analysis	apify/instagram-api-scraper	API access
Competitor video analysis	streamers/youtube-scraper	Video metrics
Competitor sentiment analysis	streamers/youtube-comments-scraper	Comment sentiment
Competitor channel metrics	streamers/youtube-channel-scraper	Channel analysis
TikTok competitor analysis	clockworks/tiktok-scraper	TikTok data
Competitor video strategies	clockworks/tiktok-video-scraper	Video analysis
Competitor TikTok profiles	clockworks/tiktok-profile-scraper	Profile data

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., compass/crawler-google-places).

This returns:

• Actor description and README
• Required and optional input parameters
• Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

1. Output format:
   • Quick answer - Display top few results in chat (no file saved)
   • CSV - Full export with all fields
   • JSON - Full export in JSON format
2. Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node {baseDir}/reference/scripts/run_actor.js \
  --actor 'ACTOR_ID' \
  --input 'JSON_INPUT'

CSV:

node {baseDir}/reference/scripts/run_actor.js \
  --actor 'ACTOR_ID' \
  --input 'JSON_INPUT' \
  --output 'YYYY-MM-DD_OUTPUT_FILE.csv' \
  --format csv

JSON:

node {baseDir}/reference/scripts/run_actor.js \
  --actor 'ACTOR_ID' \
  --input 'JSON_INPUT' \
  --output 'YYYY-MM-DD_OUTPUT_FILE.json' \
  --format json

Step 5: Summarize Findings

After completion, report:

• Number of competitors analyzed
• File location and name
• Key competitive insights
• Suggested next steps (deeper analysis, benchmarking)

Security & Data Privacy

This skill instructs the agent to select an Apify Actor, fetch its schema (via mcpc), and run scrapers. The included script communicates only with api.apify.com and writes outputs to files under the current working directory; it does not access unrelated system files or other environment variables.

Apify Actors only scrape publicly available data and do not collect private or personally identifiable information beyond what is openly accessible on the target platforms. For additional security assurance, you can check an Actor's permission level by querying https://api.apify.com/v2/acts/:actorId — an Actor with LIMITED_PERMISSIONS operates in a restricted sandbox, while FULL_PERMISSIONS indicates broader system access. For full details, see Apify's General Terms and Conditions.

Error Handling

APIFY_TOKEN not found - Ask user to configure APIFY_TOKEN in OpenClaw settings mcpc not found - Run npm install -g @apify/mcpc Actor not found - Check Actor ID spelling Run FAILED - Ask user to check Apify console link in error output Timeout - Reduce input size or increase --timeout