Scraping
Python Web Scraping
Production-grade Python scrapers — request strategy, parsing, retries, queueing, caching, and storage — built to run reliably long after the demo script breaks.
Explore the topic →// Topics
Automation, Scraping & AI Engineering Topics
Each topic below is a hub — a deep landing page on a single technical area, plus the long-form articles, case studies, and services that go with it. If you're researching one of these spaces, start here.
Automation
Browser Automation
Headless and headed browser automation systems for scraping, testing, account workflows, and any task where a real browser is the only thing that works.
Explore the topic →Tooling
Playwright Automation
Playwright-based automation for modern JavaScript-heavy sites — async workers, robust selectors, network interception, and integration with proxy and profile tooling.
Explore the topic →Anti-Detect
Kameleo Automation
Kameleo browser-profile automation attached to Playwright — real fingerprints, proxy integration, and profile lifecycle management for sites behind aggressive bot protection.
Explore the topic →Anti-Detect
Undetectable Browser Automation
Strategies for browser automation that survives Cloudflare, DataDome, PerimeterX, and similar bot-protection layers — without bypassing CAPTCHAs or breaking site terms.
Explore the topic →AI
AI Data Extraction
Pipelines that combine scraping, document download, OCR/parsing, and LLM-based structured extraction to turn unstructured pages and PDFs into clean, queryable data.
Explore the topic →E-Commerce
E-Commerce Automation
Order processing, inventory monitoring, price tracking, fulfillment workflows, and the back-office automation that lets an e-commerce operation scale without adding headcount.
Explore the topic →Operations
Automation Dashboards
Internal dashboards and admin tools that turn automation systems into something operators can actually run — controls, monitoring, audit logs, and live status.
Explore the topic →How These Are Organized
Each topic hub explains what the area covers, when you'd actually need it, how I approach it in production, and what stack tends to come with it. From each hub you'll find linked articles going deeper on specific problems, and case studies showing how the topic shows up in real systems.
The goal: if you're researching scraping infrastructure, anti-bot strategy, or an AI extraction pipeline, you should be able to land on a topic page and quickly see whether I'm the right person to build it with you.
// Let's Build
Building Something in One of These Areas?
If your project lines up with any of the topics below, reach out — there's a strong chance the underlying architecture maps directly to something I've already built.