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influencer-prospecting — Claude Code skill: setup and features

Finds niche creators across TikTok, Instagram, and YouTube using public data, scores prospects from 1 to 5, and exports ready-to-contact lists to CSV.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add ScrapeCreators/social-media-research-skills --skill influencer-prospecting -a claude-code
Open on GitHub

What influencer-prospecting does

The skill builds prospect lists of creators for sponsorships or affiliate campaigns. It searches public data across YouTube and Instagram, alongside link-in-bio pages like Linktree. Each candidate receives a score from 1 to 5 based on niche fit, brand safety, and contact paths. Raw follower count does not equal good fit.

Output arrives as a structured Markdown document with outreach angles and an exportable CSV snippet. The skill runs using Bash, Read, Write, and WebFetch tools. It ignores private contact information. Every record comes strictly from public profile data.

You need the SCRAPECREATORS_API_KEY environment variable configured before running queries. Profile discovery will fail without it. That requirement makes the external key indispensable. When public metrics are thin, the skill flags missing data instead of guessing engagement.

What it helps with

  • Build creator prospect lists for sponsorships and affiliate campaigns
  • Discover micro-influencers with verified audience engagement
  • Identify social accounts already discussing a target product category
  • Export scored creator candidate lists directly to CSV

Example prompts for the agent

  • Find YouTube and TikTok creators in the smart home niche and export the prospect list to CSV.
  • Build an influencer list for a fitness UGC campaign and score each candidate from 1 to 5.
  • Identify Instagram accounts that talk about specialty coffee and gather their public contact details.

How to install influencer-prospecting

1Skills CLI (Vercel)

npx skills add ScrapeCreators/social-media-research-skills --skill influencer-prospecting -a claude-code

2Manually: put the files in place

~/.claude/skills/influencer-prospecting/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/influencer-prospecting/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about influencer-prospecting

How do I install influencer-prospecting in Claude Code?

Run npx skills add ScrapeCreators/social-media-research-skills --skill influencer-prospecting -a claude-code in your terminal.

What does influencer-prospecting do?

The skill searches public social profiles across YouTube, Instagram, and TikTok, scores creators from 1 to 5, and exports outreach angles alongside an exportable CSV table.

What are the requirements for influencer-prospecting?

You must provide the SCRAPECREATORS_API_KEY environment variable. The skill also relies on Bash, Read, Write, and WebFetch tools.

Source text

SKILL.md · MIT
---
name: influencer-prospecting
description: 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.
allowed-tools: Bash, Read, Write, WebFetch

version: 1.0.0
author: ScrapeCreators
license: MIT
homepage: https://scrapecreators.com
repository: https://github.com/ScrapeCreators/social-media-research-skills
metadata:
  openclaw:
    requires:
      env:
        - SCRAPECREATORS_API_KEY
    primaryEnv: SCRAPECREATORS_API_KEY
    homepage: https://scrapecreators.com
    tags:
      - social-media
      - research
      - scrapecreators
---

# 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,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.

© ScrapeCreators · MIT · ScrapeCreators/social-media-research-skills

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