apify-influencer-discovery

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

API & Backend 39,350 stars 6386 forks Updated today MIT

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Skill Content

# 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...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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