Edge Copy setup link
Skill evidence / finding-tiktok-creators-by-location
Skill profile

finding-tiktok-creators-by-location

Discovers TikTok creators and content by geographic location using apidojo's TikTok Location Scraper...

What this skill does for you

Discovers TikTok creators and content by geographic location using apidojo's TikTok Location Scraper on Apify. Triggers when the user asks to: find TikTok creators in a specific city, discover local TikTok influencers by location, find content creators posting from a particular place, identify TikTok accounts active in a geographic area, find local micro-influencers by location tag, or build a list of TikTok creators in a target market region. Returns video data, creator username, follower count, verification status, hashtags, and engagement metrics per post. Ideal for local brand campaigns, geo-targeted influencer marketing, and regional market research.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io
Repositoryapidojo-skills
Installs407as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the finding-tiktok-creators-by-location skill from apidojo-io/apidojo-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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
sha256:1138e709250688667a4f868fae6e3f4f731360e596bee27819aabeb65d0582d8
Licence
Apache-2.0