CenredJun/apify-competitor-intelligence
skills/apify-competitor-intelligence/SKILL.md
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
development
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add CenredJun/openclaw-claudecode-setup-kit apify-competitor-intelligenceInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- apify-competitor-intelligence
- description:
- 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
(No need to check it upfront)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI 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 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:
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:
- 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
- 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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