Data extraction for the sites that don’t want to be scraped.
Custom web scraping, lead enrichment, and workflow automation — delivered clean, in the format you actually use.
No API. Anti-bot walls. Logins. Captchas.
Most of the data worth having lives behind protections built to keep scrapers out — JavaScript-rendered pages, token-refresh auth, rate limits, fingerprinting. When the off-the-shelf tools and the last freelancer hit a wall, that’s the work I take on. I build the workaround.
- [No public API]
Data only exists in the UI
- [Anti-bot protection]
Cloudflare, captchas, fingerprinting
- [Auth walls]
Login + token refresh required
- [Dynamic content]
AJAX, infinite scroll, JS rendering
Four ways I get you the data
Web scraping & anti-bot bypass
Custom Python scrapers for sources that fight back: anti-bot, auth walls, dynamic rendering, and more.
Lead enrichment
Raw lists of companies and contacts turned into outreach-ready datasets.
Pipelines & Synchronization
Automatic routing of collected data to where it is needed. No manual CSV uploads.
Data processing & delivery
Clean, normalized, and validated data in whatever format your process expects.
Three steps, no surprises
- 01
Tell me what data you need
Where it lives, what fields matter, how much of it, and how often you need it refreshed.
- 02
Get an extraction plan + estimate
A clear approach to the technical obstacles, the delivery format, and a price range before any work starts.
- 03
Receive clean, delivered data
Validated and normalized, exported to Excel, CSV, Google Sheets, JSON, a database, or straight into your CRM.
Proof over promises
Global e-commerce pricing intelligence pipeline
A resilient pipeline delivering highly accurate daily pricing updates, allowing the client to algorithmically adjust their own prices across regions.
- Python
- curl_cffi
- TLS Fingerprinting
- Proxies
Lead enrichment pipeline for outreach
Outreach-ready datasets that load straight into a CRM — faster, cleaner lists with far less manual research.
- Python
- Scrapy
- Data Normalization
- CSV / Sheets
The stack I reach for
- Python
- Playwright
- Camoufox
- curl_cffi
- n8n
- Residential Proxies
Got a source nobody else could crack?
Tell me what data you need and where it lives. I’ll tell you if and how it can be done.
Projects from $200. A starting point for discussion — not a quote.