Auto Screenshot Tweets par Colinus
This extension works in cunjunction with Grok AI to document harassment. 1) Ask Grok to scrape suspected accounts and to provide URLs 2) Paste Urls into this extension for automated screenshots.
MĂ©tadonnĂ©es de lâextension
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Ă propos de cette extension
Auto Screenshots XT is a powerful Firefox extension designed for documenting online harassment and abuse on Twitter/X. This tool works seamlessly with AI services like Grok to
create a complete evidence collection workflow.
## How It Works
1. Use Grok AI or similar tools to analyze suspected harassment accounts and extract relevant tweet URLs
2. Paste the URLs into this extension (one per line)
3. The extension automatically opens each URL, intelligently detects tweet context, and captures screenshots
4. All screenshots are saved locally with tweet IDs for easy organization and legal reference
## Key Features
- Smart Context Detection: Automatically identifies reply tweets and scrolls to show both the original tweet and the reply for complete context
- Dynamic Viewport Optimization: Adjusts zoom levels to fit long tweets and multiple tweets in a single screenshot
- Batch Processing: Handle multiple URLs at once with progress tracking
- Detailed Logging: Track every step of the screenshot process with timestamps
- Legal Evidence Ready: Filenames include tweet IDs for authenticity verification
## Privacy & Security
- No data collection or transmission - everything happens locally on your device
- Screenshots are saved directly to your download folder
- No account access or authentication required
- Open source code available for security review
## Use Cases
- Documenting harassment campaigns across multiple tweets
- Preserving evidence of abusive behavior with full context
- Academic research on online behavior patterns
- Journalism and investigative reporting
- Legal proceedings requiring social media evidence
Perfect for researchers, journalists, legal professionals, and anyone who needs to systematically document problematic online behavior while maintaining complete privacy and
security.
create a complete evidence collection workflow.
## How It Works
1. Use Grok AI or similar tools to analyze suspected harassment accounts and extract relevant tweet URLs
2. Paste the URLs into this extension (one per line)
3. The extension automatically opens each URL, intelligently detects tweet context, and captures screenshots
4. All screenshots are saved locally with tweet IDs for easy organization and legal reference
## Key Features
- Smart Context Detection: Automatically identifies reply tweets and scrolls to show both the original tweet and the reply for complete context
- Dynamic Viewport Optimization: Adjusts zoom levels to fit long tweets and multiple tweets in a single screenshot
- Batch Processing: Handle multiple URLs at once with progress tracking
- Detailed Logging: Track every step of the screenshot process with timestamps
- Legal Evidence Ready: Filenames include tweet IDs for authenticity verification
## Privacy & Security
- No data collection or transmission - everything happens locally on your device
- Screenshots are saved directly to your download folder
- No account access or authentication required
- Open source code available for security review
## Use Cases
- Documenting harassment campaigns across multiple tweets
- Preserving evidence of abusive behavior with full context
- Academic research on online behavior patterns
- Journalism and investigative reporting
- Legal proceedings requiring social media evidence
Perfect for researchers, journalists, legal professionals, and anyone who needs to systematically document problematic online behavior while maintaining complete privacy and
security.
Noté 0 par 1 personne
Autorisations et données
Autorisations nécessaires :
- TĂ©lĂ©charger des fichiers, et consulter et modifier lâhistorique des tĂ©lĂ©chargements du navigateur
- Accéder aux onglets du navigateur
- Accéder à vos données pour tous les sites web
Plus dâinformations
- Liens du module
- Version
- 1.0
- Taille
- 14,37Â Ko
- DerniĂšre mise Ă jour
- il y a 5 mois (1 sept. 2025)
- Catégories associées
- Licence
- Licence MIT
- Historique des versions
- Ătiquettes
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