Backend

apify-influencer-discovery

apify/agent-skills · updated Apr 8, 2026

$npx skills add https://github.com/apify/agent-skills --skill apify-influencer-discovery
summary

Discover and evaluate influencers across Instagram, Facebook, YouTube, and TikTok using Apify Actors.

  • Routes discovery requests to 15+ specialized Actors covering profile scraping, hashtag search, engagement analysis, and niche discovery across all major platforms
  • Dynamically fetches Actor schemas via mcpc to determine required inputs and available output fields before execution
  • Supports three export modes: inline chat display, CSV, or JSON file output with customizable result counts
skill.md

Influencer Discovery

Discover and analyze influencers across multiple platforms using Apify Actors.

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-scraper Profile metrics, bio, follower counts
Find by hashtag apify/instagram-hashtag-scraper Discover influencers using specific hashtags
Reel engagement apify/instagram-reel-scraper Analyze reel performance and engagement
Discovery by niche apify/instagram-search-scraper Search for influencers by keyword/niche
Brand mentions apify/instagram-tagged-scraper Track who tags brands/products
Comprehensive data apify/instagram-scraper Full profile, posts, comments analysis
API-based discovery apify/instagram-api-scraper Fast API-based data extraction
Engagement analysis apify/export-instagram-comments-posts Export comments for sentiment analysis
Facebook content apify/facebook-posts-scraper Analyze Facebook post performance
Micro-influencers apify/facebook-groups-scraper Find influencers in niche groups
Influential pages apify/facebook-search-scraper Search for influential pages
YouTube creators streamers/youtube-channel-scraper Channel metrics and subscriber data
TikTok influencers clockworks/tiktok-scraper Comprehensive TikTok data extraction
TikTok (free) clockworks/free-tiktok-scraper Free TikTok data extractor
Live streamers clockworks/tiktok-live-scraper Discover 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).

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 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