mcpField
I
influencer-prospecting

influencer-prospecting

github.com/scrapecreatorsMarketing & growth5.0k1.2k installsUpdated 9w ago
Repository

About influencer-prospecting

Influencer Prospecting is a skill for building creator prospect lists from public social data. It helps marketers assess niche and audience fit, reach, engagement, brand safety, and public contact paths, with CSV as an available output.

Key features

  1. 01Search creators across social platforms
  2. 02Assess niche and audience fit
  3. 03Score reach and engagement quality
  4. 04Check brand-safety risks
  5. 05Record public contact paths
  6. 06Export prospects as CSV

Use cases

  1. 01Build UGC or sponsorship prospect lists
  2. 02Find niche micro-influencers
  3. 03Identify creators discussing a product category
  4. 04Prepare a creator list for outreach

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/scrapecreators/social-media-research-skills --skill influencer-prospecting

After installing, type/influencer-prospectingin Claude Code to confirm it loaded.

Details

From the project README

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

# Influencer Prospect List: {niche}

| Creator | Platform | Followers | Recent views | Fit | Contact path | Notes |
|---|---|---:|---:|---:|---|---|

## Best Fits
1. ...

## Outreach Angles
- ...

## CSV
```csv
creator,platform,profile_url,followers,recent_views,fit_score,contact_path,notes


## Common Pitfalls

- Do not equate large follower count with good fit.
- Do not scrape or expose private contact data. Use public links only.
- Do not hide uncertainty when profiles have limited public data.

Comments

Markdown supported