Agent Skills: Influencer Discovery

Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.

UncategorizedID: questnova502/claude-skills-sync/apify-influencer-discovery

Install this agent skill to your local

pnpm dlx add-skill https://github.com/QuestNova502/claude-skills-sync/tree/HEAD/skills/apify-influencer-discovery

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skills/apify-influencer-discovery/SKILL.md

Skill Metadata

Name
apify-influencer-discovery
Description
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.

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)

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema
- [ ] 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:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/fetch_actor_details.js --actor "ACTOR_ID"

Replace ACTOR_ID with the selected Actor (e.g., apify/instagram-profile-scraper).

This returns:

  • Actor info (title, description, URL, categories, stats, rating)
  • README summary
  • Input schema (required and optional parameters)

Step 3: Ask User Preferences

Skip this step for simple lookups (e.g., "what's Nike's follower count?", "find me 5 coffee shops in Prague") — just use quick answer mode and move to Step 4.

For larger scraping tasks, 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

Cost safety: Always set a sensible result limit in the Actor input (e.g., maxResults, resultsLimit, maxCrawledPages, or equivalent field from the input schema). Default to 100 results unless the user explicitly asks for more. Warn the user before running large scrapes (1000+ results) as they consume more Apify credits.

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 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