Overview Install Files SecuritySummary This source did not publish a separate summary. Review SKILL.md before using the skill.
Influencer Discovery
Discover and analyze influencers across multiple platforms using Apify Actors.
When to Use
You need to discover creators or influencers for outreach, partnerships, or campaign planning.
The task is to evaluate authenticity, engagement, niche fit, or audience signals across social platforms.
You need Apify-based extraction plus a shortlist or summary of suitable influencer candidates.
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: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results
Step 1: Determine Discovery Source
Select the appropriate Actor based on user needs:
User Need Actor ID Best For Influencer profiles apify/instagram-profile-scraperProfile metrics, bio, follower counts Find by hashtag apify/instagram-hashtag-scraperDiscover influencers using specific hashtags Reel engagement apify/instagram-reel-scraperAnalyze reel performance and engagement Discovery by niche apify/instagram-search-scraperSearch for influencers by keyword/niche
Brand mentions apify/instagram-tagged-scraperTrack who tags brands/products
Comprehensive data apify/instagram-scraperFull profile, posts, comments analysis
API-based discovery apify/instagram-api-scraperFast API-based data extraction
Engagement analysis apify/export-instagram-comments-postsExport comments for sentiment analysis
Facebook content apify/facebook-posts-scraperAnalyze Facebook post performance
Micro-influencers apify/facebook-groups-scraperFind influencers in niche groups
Influential pages apify/facebook-search-scraperSearch for influential pages
YouTube creators streamers/youtube-channel-scraperChannel metrics and subscriber data
TikTok influencers clockworks/tiktok-scraperComprehensive TikTok data extraction
TikTok (free) clockworks/free-tiktok-scraperFree TikTok data extractor
Live streamers clockworks/tiktok-live-scraperDiscover live streaming influencers
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., apify/instagram-profile-scraper).
Actor description and README
Required and optional input parameters
Output fields (if available)
Step 3: Ask User Preferences
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'
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
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 Results After completion, report:
Number of influencers found
File location and name
Key metrics available (followers, engagement rate, etc.)
Suggested next steps (filtering, outreach, deeper analysis)
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
Limitations
Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.