Audience research skill
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.
by ScrapeCreators·MIT license·★ 2,619 Stars on the repo·GitHub ↗
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npx degit ScrapeCreators/social-media-research-skills/skills/audience-research#main ~/.claude/skills/audience-researchChecked ·commit main
Files of Audience research
SKILL.md
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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. |
Discussion
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