scraping-instagram-comments

Extracts comments from Instagram posts using apidojo's Instagram Comments Scraper on Apify.

What this skill does for you

Extracts comments from Instagram posts using apidojo's Instagram Comments Scraper on Apify. Triggers when the user asks to: get all comments on an Instagram post, scrape Instagram comment data, export comments from an Instagram URL, fetch comment text and engagement from Instagram posts, collect commenter usernames from a post, or download audience reaction data from Instagram content. Returns comment text, like count, reply count, commenter username, verified status, and timestamp. Ideal for sentiment analysts, community managers, and social media researchers.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io

Repositoryapidojo-skills

Installs403as 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-comments 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: sha256:94bfa8e289ff52220ce40283199517ff7eed7ce75db7750b97b7013226bf2875
Licence: Apache-2.0