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Skill evidence / scraping-twitter-profile-tweets
Skill profile

scraping-twitter-profile-tweets

Extracts tweets, reply threads, and engagement metrics from a specific Twitter/X profile using...

What this skill does for you

Extracts tweets, reply threads, and engagement metrics from a specific Twitter/X profile using apidojo's Twitter Profile Scraper on Apify. Triggers when the user asks to: get all tweets from a Twitter account, scrape tweets from a specific user's profile, export tweet history from a Twitter handle, get recent tweets from a Twitter account with engagement stats, fetch tweet timeline for a specific user, or collect posts from a Twitter profile by username. Returns tweet text, likes, retweets, replies, views, bookmarks, and author info per tweet. Ideal for social media monitors, journalists, and competitive intelligence teams.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io
Repositoryapidojo-skills
Installs377as 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-twitter-profile-tweets 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:a402f2bea7aab02c7e9379e20f17ac499e4da1892631ba40fe6cd97454a726e4
Licence
Apache-2.0