Creator Audience Analyzer

Audience research

by ScrapeCreators · MIT license · ★ 2,619 on GitHub · v1.0.0 · updated Aug 26

Audience research cover

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)
Claude Codenpx skills add ScrapeCreators/social-media-research-skills --skill audience-research -g -a claude-code
Claude Code (degit)npx degit ScrapeCreators/social-media-research-skills/skills/audience-research#main ~/.claude/skills/audience-research
Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

  • SKILL.md2.5 KB
Read SKILL.md here
ScrapeCreators/main1 file shown
SKILL.md
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

  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

# 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---
2name: audience-research
3description: 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.
4allowed-tools: Bash, Read, Write, WebFetch
5 
6version: 1.0.0
7author: ScrapeCreators
8license: MIT
9homepage: https://scrapecreators.com
10repository: https://github.com/ScrapeCreators/social-media-research-skills
11metadata:
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 
28Evaluate 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 
32Use 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 
511. Pull profile and available audience/demographic data.
522. Pull recent content and comments if audience intent matters.
533. Extract region, language, niche, product/category, and community signals.
544. Score audience fit against the user's target market.
555. Label confidence based on the strength of public data.
56 
57## Output Format
58 
59```markdown
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.
View all files on GitHub →

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
View creator

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