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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.

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查看安装方法

包含的文件(2)

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

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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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