Distributed Multi-Platform Web Harvesting

Project Overview

Field / Domain: Alternative Data Extraction & Web Intelligence
Role / Scope: Distributed Scraping Architecture & Automation Tooling
Technologies: Python, Playwright, Scrapy, Selenium, DuckDB, Proxy Rotation, LLM APIs

The Architectural Challenge

Harvesting tens of millions of records across high-traffic platforms (real estate aggregators, market portals, review directories) requires continuously overcoming aggressive bot mitigation mechanisms (Cloudflare, dynamic fingerprinting, JavaScript challenges), DOM layout mutations, and rate limits without corrupting target data fidelity.

Technical Solution

• Hybrid Extraction Clusters: Deployed multi-engine harvesting infrastructure combining headless browser clusters (Playwright) for heavy single-page applications with high-throughput asynchronous scrapers (Scrapy/httpx) for raw endpoints.
• Anti-Bot & Proxy Orchestration: Implemented intelligent IP rotation, TLS fingerprint randomization, adaptive request throttling, and automated error-budget management.
• LLM-Assisted Dynamic Selectors: Built an automated web parsing assistant that leverages LLMs to interpret unstructured DOM pages, synthesize resilient CSS selectors on the fly, and self-heal extraction rules when layouts evolve.
• Schema Validation & Normalization: Built automated validation pipelines converting messy unstructured HTML and JSON payloads into strictly typed, partitioned Parquet and DuckDB tables.

Demonstrated Outcome

Extracted hundreds of millions of clean, deduplicated records with a sustained 99%+ extraction success rate, reducing manual maintenance overhead through self-healing selector synthesis.

Inquire About Web Scraping & Data Extraction

Need high-scale alternative data extraction with enterprise resilience?

Discuss Your Project or reach our engineering team directly at contact@antardata.com.