I have a Python Bet365 pre-game odds scraper (using curl_cffi/requests). Pre-match BetBuilder odds work, but protected endpoints (e.g. Player / Goals tabs under /matchbettingcontentapi) require a dynamic header x-net-sync-term. I need a developer to reproduce or bypass that requirement and deliver a reliable proof-of-concept that returns data from those endpoints. Scope / responsibilities: • Reverse-engineer how x-net-sync-term is generated (or find a header combination/workaround to avoid it). • Produce a reproducible, programmatic method to request /matchbettingcontentapi endpoints from Python (works with curl_cffi or requests). • Deliver a compact POC script + short integration notes so I can plug it into my existing scraper. Required skills • Strong Python (requests / curl_cffi) experience • Web scraping and reverse engineering of protected APIs • Experience with token/header-based protections, dynamic headers or anti-bot techniques • Knowledge of Bet365 endpoints or sports-betting APIs is a plus Deliverables 1. A Python proof-of-concept script that, when executed, returns the data from endpoint below. The script should either: • reproduce the x-net-sync-term generation, or • show a stable set of headers/requests that bypass the need for repeated dynamic header generation. • Alternatively, if an automated browser (Selenium) is required in the setup it could be a viable solution. But preferbaly everything is requests based. Acceptance criteria • The POC script returns data for the example endpoint (player odds) consistently (not a one-off). • Clear method documented so I can integrate it into my existing scraper. Example endpoint (test) Should return player odds for Aston Villa vs Burnley (until October 5th): `https://www.bet365.nl/matchbettingcontentapi/coupon? lid=1&zid=9&pd=%23AC%23B1%23C1%23D8%23E181007976%23F3%23I8%23& cid=135&cgid=4&ctid=135` It should work for any soccer match on Bet365 getting player odds tab.