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apify-influencer-discovery

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

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39,227
Source
sickn33/antigravity-awesome-skills
Updated
2026-05-30
Slug
sickn33--antigravity-awesome-skills--apify-influencer-discovery
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/HEAD/plugins/antigravity-awesome-skills-claude/skills/apify-influencer-discovery/SKILL.md -o .claude/skills/apify-influencer-discovery.md

Drops the SKILL.md into .claude/skills/apify-influencer-discovery.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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-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

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.