audience-research · scrapecreators — Claude Code skill: what it does, how to install
Evaluates creator and brand audiences using public metrics, TikTok demographics, and comment signals. It helps teams check market fit before booking sponsorships.
npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a claude-codeWhat audience-research does
The skill gathers public account data to evaluate whether an influencer reaches your target buyers. It pulls TikTok demographic data through endpoints like /v1/tiktok/user/audience, inspects post comments, checks content topics, and reviews link-in-bio storefronts.
Results arrive formatted as an evidence table with market fit scores and confidence ratings. The skill requires the SCRAPECREATORS_API_KEY environment variable to fetch data. It flags assumptions whenever a platform hides audience metrics, guarding against mismatches between creator location and actual viewer geography.
What it helps with
- inspect TikTok audience demographics and geography before sponsoring a post
- compare audience fit across multiple creators for a target market
- detect mismatches between creator origin and follower geography
- evaluate comment intent and community engagement on recent posts
Example prompts for the agent
- Evaluate the audience of TikTok creator @creator_name for a US product launch
- Compare follower fit between @creator1 and @creator2 for our niche
- Review recent comments and demographics for @brand_account to check sponsorship fit
How to install audience-research
1Skills CLI (Vercel)
npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a claude-code2Manually: put the files in place
~/.claude/skills/audience-research/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/audience-research/
1Skills CLI (Vercel)
npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a codex2Manually: put the files in place
.agents/skills/audience-research/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a cursor2Manually: put the files in place
.cursor/skills/audience-research/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install ScrapeCreators/social-media-research-skills audience-research2Manually: put the files in place
.github/skills/audience-research/SKILL.md1Skills CLI (Vercel)
npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a gemini-cli2Platform CLI
gemini skills install https://github.com/ScrapeCreators/social-media-research-skills --path skills/audience-researchManually: put the files in place
.devin/skills/audience-research/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about audience-research
How to install audience-research in Claude Code?
Run npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -a claude-code in your terminal.
What does audience-research do?
It analyzes public account metrics, TikTok demographic data, and recent comments to score whether a creator matches a target market.
What is required to run the audience-research skill?
You must configure the SCRAPECREATORS_API_KEY environment variable so the skill can access the research endpoints.
Source text
SKILL.md · MIT
---
name: audience-research
description: Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
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
---
# Audience Research
## Overview
Evaluate whether a creator or social account reaches the right audience. This skill combines available public profile metrics, TikTok audience demographics, regional signals, follower/following data when available, comments, language, and content topics.
## When to Use
Use this skill when the user asks to:
- check if a creator's audience fits a market
- compare audience fit across creators
- find US-heavy, country-specific, or niche-specific creators
- evaluate sponsorship/influencer opportunities
- understand who appears to engage with an account
## Useful Sources
- `/v1/tiktok/user/audience`
- `/v1/tiktok/profile/region`
- profile endpoints across platforms
- follower/following endpoints where available
- comments on recent posts
- link-in-bio pages and creator shops for niche signals
## Workflow
1. Pull profile and available audience/demographic data.
2. Pull recent content and comments if audience intent matters.
3. Extract region, language, niche, product/category, and community signals.
4. Score audience fit against the user's target market.
5. Label confidence based on the strength of public data.
## Output Format
```markdown
# Audience Research: {creator}
## Fit Summary
- Target market:
- Fit score: High/Medium/Low
- Confidence: High/Medium/Low
## Evidence
| Signal | Evidence | Source |
|---|---|---|
## Audience Notes
- Geography:
- Language:
- Niche/content fit:
- Comment quality:
## Sponsorship Recommendation
- Good fit / Maybe / Poor fit
- Why:
```
## Common Pitfalls
- Do not infer exact demographics from vibes. Use available evidence and label assumptions.
- Do not overpromise audience details for platforms that do not expose them publicly.
- Do not ignore mismatch between creator location and audience location.
© ScrapeCreators · MIT · ScrapeCreators/social-media-research-skills
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