apify-influencer-discovery

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:

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'

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