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Reverse engineer DataDome + reCAPTCHA visa booking flow

Бюджэт: - HOURLY / PART_TIME ⭐ 0.00 (0) Portugal

rust, python, linux, bash, automation, data-extraction, api-integration, reverse-engineering, postgresql, artificial-intelligence, chatbot-development, performance-tuning

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Hi Cristian, I need help reverse engineering the complete appointment booking flow of a government website (pedidodevistos.mne.gov.pt) that is protected by DataDome + reCAPTCHA Enterprise. I already have several HAR files captured from successful manual sessions (login → questionnaire → form → calendar → slots). I need someone who can: 1. Analyze the exact request sequence, cookies, headers, and fingerprint beacons (especially the getTables / DataDome signals). 2. Identify what the anti-bot system is actually checking at each step. 3. Help rebuild a reliable automated flow (hybrid approach: real browser only where necessary + HTTP for the rest). Key technical points: - DataDome is present (bd.js + cookies) - reCAPTCHA Enterprise is used (site key: 6LdOB9crAAAAADT4RFruc5sPmzLKIgvJVfL830d4) - The site rejects pure HTTP logins — the session must start inside a real browser - We already tried anti-detect browsers (Donut) but the proxy injection and fingerprint consistency are still problematic I can share the HAR files and current Python code (Playwright + curl_cffi) after we start. Are you experienced with DataDome and reCAPTCHA Enterprise widget flows? What is your availability and estimated time for an initial analysis? Thanks
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