Data Collector

Purpose

The Data Collector is designed to gather tweets from Twitter profiles to build comprehensive datasets for AI training and style analysis.

Functionality

• Username-based Collection: Gather tweets from specific Twitter profiles
• Viral Tweet Filtering: Focus on high-engagement content with advanced filtering
• Hashtag & Keyword Targeting: Collect tweets based on specific topics or trends
• Metadata Analysis: Extract engagement metrics (likes, retweets, replies, impressions)
• Batch Processing: Handle large-scale data collection efficiently
• Quality Filtering: Remove spam, low-quality, or irrelevant content
• Rate Limiting: Respect Twitter API limits and optimize collection speed

User Experience

1. Navigate to /dashboard/collector
2. Enter target Twitter username
3. Configure collection parameters (quantity, filters, date range)
4. Enable viral tweet filtering if desired
5. Start collection process
6. Monitor real-time progress and results
7. Review collected data and export if needed

Collection Options

Output Data

API Integration

• Twitter API v2: Official Twitter data access
• Rate Limiting: Intelligent request management
• Data Validation: Ensure data quality and completeness
• Error Handling: Robust error recovery and retry logic
• Progress Tracking: Real-time collection status updates