scraping-instagram-users-by-keyword

Extracts Instagram user profiles, followers, and following lists using apidojo's Instagram User...

What this skill does for you

Extracts Instagram user profiles, followers, and following lists using apidojo's Instagram User Scraper on Apify. Triggers when the user asks to: find Instagram users by keyword or name, get follower lists for Instagram accounts, get following lists for Instagram accounts, export Instagram profile data in bulk, fetch public email addresses from Instagram business profiles, search for Instagram users by username or handle, or build a dataset of Instagram account metadata. Returns username, follower count, bio, post count, verification status, public email, and more. Ideal for influencer researchers, outreach teams, and competitive intelligence analysts.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io

Repositoryapidojo-skills

Installs406as 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 scraping-instagram-users-by-keyword 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: sha256:62f8c19430ffa86852b4184d1936b7f68927e27755d88638c18cbf9e51bab906
Licence: Apache-2.0