finding-instagram-ugc-creators-for-brands

Finds Instagram UGC creators for brand campaigns using apidojo's Instagram scraper on Apify.

What this skill does for you

Finds Instagram UGC creators for brand campaigns using apidojo's Instagram scraper on Apify. Triggers when the user asks to: find Instagram UGC creators for product campaigns, discover micro-influencers posting organic product reviews on Instagram, identify creators for paid partnership posts or product seeding on Instagram, find authentic lifestyle creators in beauty food fitness or home decor, build an Instagram UGC creator list for a DTC brand, or find creators posting about a product category with strong engagement. Returns creator handle, follower count, avg likes, engagement rate, niche hashtags, and bio link. Ideal for DTC brands, e-commerce companies, and influencer campaign managers.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io

Repositoryapidojo-skills

Installs421as 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-instagram-ugc-creators-for-brands 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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: sha256:228a13611b5b8f98bea0222d9823f6ec5fe0ff00a0befe90c69b81d5704ecf9b
Licence: Apache-2.0