MarketWatch Aggregator_
A multi-source data scraping platform aggregating financial market data from 15+ sources into unified dashboards with real-time updates, historical analysis, and trend predictions.
Entity_Client
MarketWatch Analytics
Primary_Role
Backend
Duration_Log
3 months
Resource_Team
3 developers
Project_Overview
MarketWatch Analytics' analysts spent 8+ hours daily gathering data from financial websites, consolidating into spreadsheets, and analyzing trends. Aggregator pulls data from 15+ sources in real-time into unified dashboards, reducing research time by 70%.
Operational_Process
Built scalable scraping architecture using Playwright for reliable browser automation. Created data pipeline with validation, aggregation, and storage. Built dashboard for visualization and analysis.
Core_Capabilities
Performance_Metrics
Research Time
DATA_POINT: 70% reduction
Data Reliability
DATA_POINT: collection
Update Latency
DATA_POINT: real-time
Query Speed
DATA_POINT: performance
Data Consistency
DATA_POINT: across sources
Daily Throughput
DATA_POINT: 99.9% uptime
Conflict_Resolution
Built modular scrapers with multiple selector strategies (CSS, XPath, text matching), added automated failure detection with alerts, created fallback scrapers for critical data. Now recovers in <2 hours. Reliability improved to 96%.
Implemented data validation rules, created normalization pipeline, added source comparison logic, and documented source precision. Created data quality scores. Inconsistencies reduced to <0.1%.
Implemented time-series database (InfluxDB) for efficient historical data, added data aggregation at hourly/daily levels, created materialized views for common queries. Query speed improved from 8s → 200ms.
Implemented WebSocket for live updates, added Redis cache layer for frequently accessed data, optimized scraping to run every 30 seconds for critical data. Update lag reduced to <2 seconds.