Get reliable data
from any website.

Problem

The client was manually checking competitor pricing across dozens of properties. They needed automated daily data to feed their revenue optimization strategy, but the target site's Akamai and Datadome protection blocked all standard approaches.

Approach

• Mimicked real browser fingerprints at the network level so anti-bot systems couldn't tell the difference
• Built self-healing cookie management that automatically refreshes sessions
• Rotated through 20+ proxies with sticky sessions for consistency
• Created a web dashboard for managing properties and exporting data

Result

Fully automated pipeline running 3x daily, pulling 365 days of availability and pricing per property. Data syncs directly to the client's Guesty platform. Zero manual intervention since deployment.

Problem

The client needed a structured matrix showing which Shopify stores charge sales tax in which states. With thousands of stores and 51 jurisdictions, that's hundreds of thousands of checkout simulations needed.

Approach

• Built a distributed system running across up to 10 cloud servers simultaneously
• Simulated full checkout flows with realistic browsing behavior
• Job queue system coordinating tasks across all instances
• Real-time results syncing to Google Drive every 15 minutes
• Fault-tolerant design: resumes automatically after any interruption

Result

Delivered a clean CSV matrix: one row per store, one column per state, each cell showing tax status. The system ran unattended for weeks, resuming automatically after any interruption.

Problem

Five U.S. state procurement portals were blocking the client's existing scrapers. Each portal had different protection: reCAPTCHA, hCaptcha, fingerprinting, and authenticated sessions. Their data pipeline was completely stalled.

Approach

• Switched to undetectable browser automation that controls a real Chrome instance
• Integrated automated CAPTCHA solving for reCAPTCHA v2/v3 and hCaptcha
• Built a shared base framework so future scrapers take half the time to build
• Residential proxy rotation with per-session binding

Result

All 5 portals successfully scraped after the previous developer's solution was blocked. The shared framework cut development time for future scrapers in half. Client's data pipeline was back online within weeks.

Problem

The client tracked news from 9 international financial regulators, pricing from 47+ crypto exchanges, and SEC EDGAR filings. Doing this manually consumed their entire data team. They needed a zero-intervention automated system.

Approach

• Built a modular scraping platform covering 56+ data sources
• Deduplication engine preventing duplicate articles across years of data
• Auto-publish to WordPress, cloud storage uploads to AWS S3 and GCS
• SEC Form ADV parsing: private funds, CRD numbers, PDF brochure downloads
• Automated monitoring with email alerts for success and errors

Result

The platform has run daily for over 2 years with zero downtime. It freed the client's data team to focus on analysis instead of manual data collection.

Problem

Generic search tools return inconsistent, stale, or irrelevant financial news when used as LLM tools. Needed a reliable daily source of recent articles per ticker with full text extraction, formatted for AI consumption.

Approach

• Mimics a real browser so anti-bot systems can't tell the difference
• Bypasses Yahoo Finance's consent wall programmatically
• Detects and skips paywalled sources automatically
• Converts articles to clean Markdown for LLM context

Result

Runs daily on Apify with zero server management. My AI advisor queries it every morning for fresh portfolio news. Consistently reliable data quality compared to generic search tools.