influencer-prospecting

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Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.

AI & Automation 2,247 stars 25 forks Updated 2 weeks ago MIT

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Skill Content

# Influencer Prospecting ## Overview Build practical creator prospect lists from public social data. The goal is to find accounts that fit the niche, have enough reach, and show evidence of relevant content or audience fit. ## When to Use Use this skill when the user asks to: - find influencers or creators in a niche - build a UGC, affiliate, sponsorship, or seeding list - find micro-influencers with strong engagement - identify creators who already talk about a product category - export prospects as CSV ## Useful Sources - TikTok search users, popular creators, profile, profile videos, audience demographics - Instagram search profiles, profile, posts, reels - YouTube search and channel details - Link-in-bio services: Linktree, Komi, Pillar, Linkbio, Linkme - Amazon Shop and TikTok Shop showcase where relevant ## Scoring Framework Score each prospect 1-5 on: - **Niche fit** — content clearly matches the category - **Audience fit** — country/language/platform fit when public data supports it - **Reach** — followers/subscribers and recent views - **Engagement quality** — comments look real and relevant - **Brand safety** — obvious controversy or mismatch risk - **Contactability** — public links/email/contact path available ## Output Format ```markdown # Influencer Prospect List: {niche} | Creator | Platform | Followers | Recent views | Fit | Contact path | Notes | |---|---|---:|---:|---:|---|---| ## Best Fits 1. ... ## Outreach Angles - ... ## CSV ```csv creator...

Details

Author
ScrapeCreators
Repository
ScrapeCreators/social-media-research-skills
Created
3 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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