Creator Audience Analyzer
Audience research

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…
---
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: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.
Manual install (npx, ZIP)
npx skills add ScrapeCreators/social-media-research-skills --skill audience-research -g -a claude-codenpx degit ScrapeCreators/social-media-research-skills/skills/audience-research#main ~/.claude/skills/audience-researchConnects with Agent Alley MCP · agentalley.io/mcp
Files included
SKILL.md2.5 KB
Read SKILL.md here
Show the full text86 lines
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
- Pull profile and available audience/demographic data.
- Pull recent content and comments if audience intent matters.
- Extract region, language, niche, product/category, and community signals.
- Score audience fit against the user's target market.
- Label confidence based on the strength of public data.
Output Format
# 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.
| 1 | |
| 2 | name audience-research |
| 3 | 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. |
| 4 | allowed-tools Bash, Read, Write, WebFetch |
| 5 | |
| 6 | version 1.0.0 |
| 7 | author ScrapeCreators |
| 8 | license MIT |
| 9 | homepage https://scrapecreators.com |
| 10 | repository https://github.com/ScrapeCreators/social-media-research-skills |
| 11 | metadata |
| 12 | openclaw |
| 13 | requires |
| 14 | env |
| 15 | - SCRAPECREATORS_API_KEY |
| 16 | primaryEnv SCRAPECREATORS_API_KEY |
| 17 | homepage https://scrapecreators.com |
| 18 | tags |
| 19 | - social-media |
| 20 | - research |
| 21 | - scrapecreators |
| 22 | |
| 23 | |
| 24 | # Audience Research |
| 25 | |
| 26 | ## Overview |
| 27 | |
| 28 | 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. |
| 29 | |
| 30 | ## When to Use |
| 31 | |
| 32 | Use this skill when the user asks to: |
| 33 | |
| 34 | check if a creator's audience fits a market |
| 35 | compare audience fit across creators |
| 36 | find US-heavy, country-specific, or niche-specific creators |
| 37 | evaluate sponsorship/influencer opportunities |
| 38 | understand who appears to engage with an account |
| 39 | |
| 40 | ## Useful Sources |
| 41 | |
| 42 | `/v1/tiktok/user/audience` |
| 43 | `/v1/tiktok/profile/region` |
| 44 | profile endpoints across platforms |
| 45 | follower/following endpoints where available |
| 46 | comments on recent posts |
| 47 | link-in-bio pages and creator shops for niche signals |
| 48 | |
| 49 | ## Workflow |
| 50 | |
| 51 | Pull profile and available audience/demographic data. |
| 52 | Pull recent content and comments if audience intent matters. |
| 53 | Extract region, language, niche, product/category, and community signals. |
| 54 | Score audience fit against the user's target market. |
| 55 | Label confidence based on the strength of public data. |
| 56 | |
| 57 | ## Output Format |
| 58 | |
| 59 | |
| 60 | # Audience Research: {creator} |
| 61 | |
| 62 | ## Fit Summary |
| 63 | - Target market: |
| 64 | - Fit score: High/Medium/Low |
| 65 | - Confidence: High/Medium/Low |
| 66 | |
| 67 | ## Evidence |
| 68 | | Signal | Evidence | Source | |
| 69 | |---|---|---| |
| 70 | |
| 71 | ## Audience Notes |
| 72 | - Geography: |
| 73 | - Language: |
| 74 | - Niche/content fit: |
| 75 | - Comment quality: |
| 76 | |
| 77 | ## Sponsorship Recommendation |
| 78 | - Good fit / Maybe / Poor fit |
| 79 | - Why: |
| 80 | |
| 81 | |
| 82 | ## Common Pitfalls |
| 83 | |
| 84 | Do not infer exact demographics from vibes. Use available evidence and label assumptions. |
| 85 | Do not overpromise audience details for platforms that do not expose them publicly. |
| 86 | Do not ignore mismatch between creator location and audience location. |
Details
- Version
- 1.0.0
- Updated
- Aug 26, 2026
- License
- MIT
- Stars on the repo
- ★ 2,619
- Checked
- Source
- ScrapeCreators/social-media-research-skills ↗
- Creator
- ScrapeCreators · 13 listings
Similar skills
See all →
SkillYouTube Channel Authenticity Check
SkillCreator Fit Scorer
SkillCreator Partnership Planning
AgentTwitter AI Influencer Manager
SkillTarget Audience Profiler
SkillInfluencer Fit ScorerMore from ScrapeCreators
SkillCompetitor Ad Analyzer
SkillAudience Comment Mining
SkillCompetitor Social Media Research
SkillSocial Content Repurposer
SkillCreator Account Analyzer
SkillInfluencer Prospect Finder