Find influencers with apify

--- name: apify-influencer-discovery description: Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok. risk: unknown source: community --- # 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 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: `bash 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):** `bash node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \ --actor "ACTOR_ID" \ --input 'JSON_INPUT' ` **CSV:** `bash 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:** `bash 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 APIFYTOKEN=yourtoken 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