kangvcar/InfoSpider
InfoSpider
InfoSpider is a personal data aggregator and digital footprint analyzer. It extracts user activity and history from social platforms and local browser database files to consolidate information into a unified format.
The system functions as a social media archiving tool that converts feed data and albums from external links into downloadable PDF documents for offline preservation. It also serves as a browser history extractor that reads local SQLite database files to retrieve and analyze web navigation history.
The project covers capabilities for data aggregation, digital footprint analysis, and personal data visualization. It transforms collected activity logs into structured charts and visual reports to provide insights into user behavior.
Features
- Personal Data Aggregators - Consolidates personal activity history from various digital platforms into a unified data format.
- Social Media Archival Tools - Converting personal social media feeds and albums into downloadable PDF documents for offline archiving and preservation.
- Social Media Archiving Tools - Converts social feed data and albums from external links into downloadable PDF documents for offline preservation.
- Browser History Querying - Extracts and analyzes web navigation history by reading local SQLite database files from browser installations.
- Browser Data Browsers - Extracts and filters browsing history and data from local web browser installations.
- Data Normalization and Schema Enforcement - Standardizes disparate activity logs from multiple platforms into a single unified format.
- Data Scraping Tools - Extracts personal activity and feed data from various social and blogging services.
- Personal Activity Reports - Transforms aggregated personal activity logs into structured charts and visual reports for behavioral analysis.
- Local File Query Engines - Executes direct SQL queries against local SQLite files to extract browsing history.
- Digital Footprint Analyzers - Processes information from multiple online sources to generate visual reports of a user's digital footprint.
- Platform-Specific Scraping Modules - Uses tailored extraction modules to retrieve personal feed data from different third-party services.
- Charts and Visualization - Transforms user activity logs into analytical charts and data visualizations.
- Web-to-PDF Converters - Renders aggregated photo and text data into static, downloadable PDF archival albums.
- Programmatic PDF Layout Tools - Programmatically defines the layout and dimensions of PDF documents for archiving data.
- User Activity Analyzers - Processes collected user information to generate reports for intuitive data understanding.
- Data Aggregation Pipelines - Standardizes disparate information from various third-party digital services into a single unified format for consistent processing.
- API Data Visualizers - Transforms structured activity datasets into graphical representations like charts and reports.
- Data Visualization Platforms - Creates visual analysis and charts based on aggregated data from blogging platforms.
