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apify-influencer-discovery

Find potential influencer partners across Instagram, Facebook, YouTube, and TikTok using Apify data extraction tools. Collect profile and engagement metrics, assess brand fit and authenticity signals, and present shortlisted candidates in chat or export data as CSV or JSON.

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原文查看原文说明

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

查看安装方法

适用场景

  • Finding creators in a specific niche
  • Comparing follower counts and engagement
  • Finding creators who mention a brand
  • Exporting partnership research as CSV or JSON

包含的文件(2)

  • SKILL.md4.9 KB
  • reference/scripts/run_actor.js11.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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 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 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.

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