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apify/awesome-skills93 installs

apify-influencer-discovery

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

How do I install this agent skill?

npx skills add https://github.com/apify/awesome-skills --skill apify-influencer-discovery
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill allows users to find and analyze influencers across various social media platforms using Apify Actors. It correctly manages API tokens through environment variables and interacts only with official Apify API endpoints.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

  • Runlayerfail

    1/2 files flagged

What does this agent skill do?

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 NeedActor IDBest For
Influencer profilesapify/instagram-profile-scraperProfile metrics, bio, follower counts
Find by hashtagapify/instagram-hashtag-scraperDiscover influencers using specific hashtags
Reel engagementapify/instagram-reel-scraperAnalyze reel performance and engagement
Discovery by nicheapify/instagram-search-scraperSearch for influencers by keyword/niche
Brand mentionsapify/instagram-tagged-scraperTrack who tags brands/products
Comprehensive dataapify/instagram-scraperFull profile, posts, comments analysis
API-based discoveryapify/instagram-api-scraperFast API-based data extraction
Engagement analysisapify/export-instagram-comments-postsExport comments for sentiment analysis
Facebook contentapify/facebook-posts-scraperAnalyze Facebook post performance
Micro-influencersapify/facebook-groups-scraperFind influencers in niche groups
Influential pagesapify/facebook-search-scraperSearch for influential pages
YouTube creatorsstreamers/youtube-channel-scraperChannel metrics and subscriber data
TikTok influencersclockworks/tiktok-scraperComprehensive TikTok data extraction
TikTok (free)clockworks/free-tiktok-scraperFree TikTok data extractor
Live streamersclockworks/tiktok-live-scraperDiscover 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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/apify/awesome-skills/apify-influencer-discovery">View apify-influencer-discovery on skillZs</a>