Competitor Intelligence
SkillMediaGet a clear picture of what your competitors are doing across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Once this skill is added, your AI can analyze their strategies, content, pricing, ads, and market positioning, so you can understand the competition without checking each platform yourself.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the skill, then tell your AI which competitors or market you want to understand and ask for an analysis of their pricing, content, ads, or positioning.
Then ask your AI: use the Competitor Intelligence skill
What your AI can do with it
- Break down competitor strategies across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok
- Review the content competitors post on Facebook, Instagram, YouTube, and TikTok
- Analyze competitor pricing
- Examine the ads competitors are running
- Assess how competitors position themselves in the market
- Check how competitors show up on Google Maps and Booking.com
What this skill tells your AI
The instructions your AI receives, as published by aaaaqwq/agi-super-team in skills/apify-competitor-intelligence/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 92
- Forks
- 23
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
apify-competitor-intelligence- Source
- github.com/aaaaqwq/agi-super-team