Resilient Data Extraction & High-Throughput ETL

Overview

We design distributed systems capable of acquiring, cleaning, and normalizing massive volumes of multi-source unstructured web data. We build harvesting pipelines that operate reliably under aggressive bot defenses, dynamic layouts, and high rate limits.

Core Technical Capabilities

1. Distributed Scraping Clusters

Scalable headless browser orchestration using Playwright, Scrapy, and Selenium across dynamic, JavaScript-heavy targets, single-page applications, and legacy platforms.

2. Anti-Bot Navigation & Proxy Orchestration

Fingerprint randomization, behavioral session handling, dynamic proxy pool management, and adaptive throttling policies to ensure uninterrupted extraction.

3. AI-Assisted Self-Healing Extraction

Leveraging LLMs to discover DOM structures, synthesize resilient CSS selectors dynamically, and build self-healing extraction rules that adapt automatically to frontend code changes.

4. High-Performance Caching & Query Optimization

Multi-tier in-memory caching (Redis) and vectorized batch pipelines that reduce analytical report generation times by over 98%, eliminating database bottlenecks during high-volume periods.

5. Schema Normalization & Analytical Warehousing

Automated transformation of heterogeneous JSON, HTML, and binary payloads into strictly validated analytical formats (Parquet, DuckDB, PostgreSQL).

Technical Tooling & Stack

• Extraction Frameworks: Playwright, Scrapy, Selenium, BeautifulSoup, httpx, asyncio
• Data Warehousing & Caching: DuckDB, Apache Parquet, Redis, PostgreSQL, Polars
• Proxy & Security: Residential Proxy Pools, TLS Fingerprint Spoofing, Captcha Handling
• Infrastructure: Docker, Distributed Queue Workers, Linux Clusters

Inquire About Data Extraction

Need reliable extraction at scale or to optimize a sluggish analytical pipeline?

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