finding-fitness-brands-on-tiktok
Discovers fitness studios, wellness brands, and gym businesses on TikTok using apidojo's TikTok...
What this skill does for you
Discovers fitness studios, wellness brands, and gym businesses on TikTok using apidojo's TikTok Scraper on Apify. Triggers when the user asks to: find fitness businesses on TikTok, discover gym brands for B2B outreach, build a list of wellness brands active on TikTok, find personal trainers or fitness studios by hashtag on TikTok, prospect health and fitness companies via TikTok content, or identify growing fitness brands for partnership or vendor sales. Returns video data, channel info (username, followers, verified), hashtags, and engagement metrics. Ideal for fitness SaaS vendors, equipment suppliers, and health brand partnership teams.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the finding-fitness-brands-on-tiktok skill from apidojo-io/apidojo-skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. Raw findings: . Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/apidojo-io/apidojo-skills
- Pinned skill file
- View source at revision
- Revision
- ffbdc00cbd01d09802e7f389ac4f61d4803972a7
- Package hash
- sha256:07f79aa3cf9822d4f6093c1de40709cfa192f8bda759ce72efd78ce51086f4d5
- Licence
- Apache-2.0