Your scraper works until the site changes its defences or its layout, then it quietly returns blank data and nothing alerts. I build scrapers that do not do that.
A block page returns 200 OK, so every response is classified before extraction: a WAF or CAPTCHA challenge, an empty result, or a changed layout is detected and surfaced instead of writing empty rows into your database.
What you get:
- A Python scraper (Playwright/Selenium, or a direct-request client with proper TLS/JA3 handling) that fetches your data at a stable success rate.
- Response classification: block, challenge, empty, or changed-layout each detected, so you never silently ingest garbage.
- Proxy rotation and session/cookie handling when the target needs it.
- Handling for Cloudflare, Datadome, PerimeterX-class protection, where the work is legal and the data is yours to collect.
- Clean, documented, maintainable code, plus a test that fails when the target breaks, so you learn from a red test, not from bad data.
Why me: I fix silent-failure bugs in production open source, 20+ merged and open pull requests across ten languages, each with a reproducing test. My tool stealth-scrape is built on this idea: classify before extract, fail loud not blank. Record: github.com/dngr2
Packages:
- Starter ($150): one target, one data type, single-run script and classification. 3 days.
- Standard ($450): multi-page or multi-target, proxy rotation, scheduled runs, retry/backoff, tests. 7 days.
- Pro ($1,200): anti-bot-hardened pipeline (Datadome/Cloudflare-class), cookie and session management, monitoring, handover doc. 2-3 weeks.
First few orders priced to build reviews. Message me with your target and how often it runs and I will confirm scope.
