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apify-competitor-intelligence

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

The English summary is being prepared. Showing the original description.

See how to install

Files included (2)

  • SKILL.md5.2 KB
  • reference/scripts/run_actor.js11.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Competitor Intelligence

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

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • mcpc CLI tool: npm install -g @apify/mcpc

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 NeedActor IDBest For
Competitor business datacompass/crawler-google-placesLocation analysis
Competitor contact discoverypoidata/google-maps-email-extractorEmail extraction
Feature benchmarkingcompass/google-maps-extractorDetailed business data
Competitor review analysiscompass/Google-Maps-Reviews-ScraperReview comparison
Hotel competitor datavoyager/booking-scraperHotel benchmarking
Hotel review comparisonvoyager/booking-reviews-scraperReview analysis
Competitor ad strategiesapify/facebook-ads-scraperAd creative analysis
Competitor page metricsapify/facebook-pages-scraperPage performance
Competitor content analysisapify/facebook-posts-scraperPost strategies
Competitor reels performanceapify/facebook-reels-scraperReels analysis
Competitor audience analysisapify/facebook-comments-scraperComment sentiment
Competitor event monitoringapify/facebook-events-scraperEvent tracking
Competitor audience overlapapify/facebook-followers-following-scraperFollower analysis
Competitor review benchmarkingapify/facebook-reviews-scraperReview comparison
Competitor ad monitoringapify/facebook-search-scraperAd discovery
Competitor profile metricsapify/instagram-profile-scraperProfile analysis
Competitor content monitoringapify/instagram-post-scraperPost tracking
Competitor engagement analysisapify/instagram-comment-scraperComment analysis
Competitor reel performanceapify/instagram-reel-scraperReel metrics
Competitor growth trackingapify/instagram-followers-count-scraperFollower tracking
Comprehensive competitor dataapify/instagram-scraperFull analysis
API-based competitor analysisapify/instagram-api-scraperAPI access
Competitor video analysisstreamers/youtube-scraperVideo metrics
Competitor sentiment analysisstreamers/youtube-comments-scraperComment sentiment
Competitor channel metricsstreamers/youtube-channel-scraperChannel analysis
TikTok competitor analysisclockworks/tiktok-scraperTikTok data
Competitor video strategiesclockworks/tiktok-video-scraperVideo analysis
Competitor TikTok profilesclockworks/tiktok-profile-scraperProfile data

Step 2: Fetch Actor Schema

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

export $(grep APIFY_TOKEN .env | xargs) && 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 --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/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)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token mcpc not found - Ask user to install 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

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