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apify-influencer-discovery

by @sickn33v1.0.0
0.0(0)

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

ApifyInfluencer MarketingInfluencer DiscoveryPartnership ManagementSocial Media AnalyticsGitHub
安装方式
npx skills add sickn33/antigravity-awesome-skills --skill apify-influencer-discovery
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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

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安装量2.0K
评分0.0 / 5.0
版本1.0.0
更新日期2026年3月16日
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创建2026年3月16日
最后更新2026年3月16日