I’m building a “Kayak of non-reimbursed care” and the first milestone is a fully automated directory focused on aesthetic medicine, with aesthetic physicians as the initial priority. Your mission covers the entire data pipeline: • Collect every practitioner and clinic from RPPS, SIRENE and relevant professional federations. • Identify each entity’s public site via Google Places or another search API. • Crawl those sites, extract all contact details and any publicly listed prices, then map each act to my in-house taxonomy. • Pull ratings, review counts and opening hours from the Google Places API to enrich every profile. • Store the results in a clean, version-controlled database and expose them through a lightweight JSON API that supports queries by profession and city. • Make the workflow completely self-updating so new or modified records are detected and processed without manual touch-points. Acceptance criteria: 1. ≥ 95 % match rate between RPPS records and the final database. 2. ≥ 90 % correct price extraction on a pilot sample. 3. Sub-second responses from the search endpoint on a 100 k-row dataset. 4. Docker-ready deployment with clear README and well-commented code. If commercial APIs or proxy services are required, flag them early so we can organise keys and quotas. When replying, please emphasise relevant experience building data ingestion pipelines, web crawlers, Google Places integrations or healthcare directories, and outline briefly how you would handle the act-normalisation step.