apify-influencer-discovery

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)
• 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