MarketPulse — Automated Web Intelligence & Pricing DataOps Pipeline
High-throughput data extraction, regression pricing analytics & automated reporting.
MarketPulse — Automated Web Intelligence & Pricing DataOps Pipeline
Extract. Normalize. Analyze. Predict.
MarketPulse is an automated web intelligence and classified listing extraction engine built to monitor, normalize, and analyze real estate and asset pricing dynamics across major European marketplaces (OLX, Allegro, etc.).
Featuring automated headless browser rotation, price-per-square-meter calculation models, SQLite relational caching, and automated multi-chart statistical generation (regression trends, regional variance, outlier filtering), MarketPulse turns fragmented public web data into structured commercial intelligence.
The Challenges
Fragmented, volatile marketplace pricing without unified telemetry.
Commercial investors and asset managers struggle to track real-time fair market value across millions of decentralized listings. Manual data collection is error-prone, slow, and fails to capture price-per-square-meter regressions or sudden regional shifts across volatile European real estate sectors.
The Solution
Complete automation from raw HTML to publication-ready BI charts.
Amethyst engineered an interactive CLI and automated data worker that handles multi-phrase search execution, pagination loops, price-per-sqm computations, and regional analysis. The pipeline automatically writes to SQLite for historical querying and produces publication-ready charts (histograms, scatter plots with regression lines, category distribution pies) alongside dual-sheet Excel summaries.
Distributed Ingestion & Statistical Analysis Architecture
From anti-bot headless crawling to automated econometric regression modeling.
Multi-Target Headless Browser Cluster
Automated Selenium & BeautifulSoup4 workers navigate dynamic JavaScript single-page applications with anti-detection headers.
Semantic Parsing & Price/Sqm Normalization
Regex and Pandas pipelines sanitize currency formats, compute price per square meter, and filter abnormal market outliers.
Relational Persistence & Historical Database
Normalized listing objects are committed to SQLite / PostgreSQL with unique indexing to track price drops over time.
Automated Econometric Chart & Report Generation
Generates 7+ visual charts (price distribution, regional comparisons, regression curves) and exports multi-tab formatted Excel workbooks.
The Results
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