I'm building a children's activity discovery platform for Switzerland (think "Google for kids' activities"). I need a recurring data pipeline that scrapes class schedules from ~500 providers across multiple booking platforms in Geneva, expanding to all of Switzerland within 18 months. What needs to be scraped:
Cogito-Sport (Angular/JavaScript portal) — 8-12 swimming clubs iClassPro (JavaScript portal) — 3-5 providers loisirsjeunes.ch (static HTML, paginated, ~200 activities via sequential IDs) Ville de Genève sports index (static HTML) PDF timetables (22 community centres) Individual club websites (mixed HTML)
What to extract from each source: Activity name, provider, day of week, time, age range, price, address, registration URL. I'm building a children's activity discovery platform for Switzerland (think "Google for kids' activities"). I need a recurring data pipeline that scrapes class schedules from ~500 providers across multiple booking platforms in Geneva, expanding to all of Switzerland within 18 months. What needs to be scraped:
Cogito-Sport (Angular/JavaScript portal) — 8-12 swimming clubs iClassPro (JavaScript portal) — 3-5 providers loisirsjeunes.ch (static HTML, paginated, ~200 activities via sequential IDs) Ville de Genève sports index (static HTML) PDF timetables (22 community centres) Individual club websites (mixed HTML)
What to extract from each source: Activity name, provider, day of week, time, age range, price, address, registration URL. Deliverables:
Working scrapers for all source types Config file to add new providers without code changes Normalisation layer mapping all sources to unified schema Change detection and summary email Deployment on Railway with cron schedule Clean CSV output + optional Airtable API push README written for non-developers
I have a full technical spec document available on request.
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