I am looking for an experienced freelancer to help me find the correct data source for apartment listings on https://www.inberlinwohnen.de/wohnungsfinder + set up a sustainable automation system to alert me immediately when new listings appear. I already have the following set up: — Telegram bot to receive alerts — GitHub Actions workflow ready to run scripts every 2 minutes — Basic notification logic working with dummy messages What I need help with (clear priorities): — Identify the stable network/API endpoint that provides the real listing data (JSON preferred) — Confirm how to extract unique listing identifiers from the endpoint — Provide a minimal, maintainable automation script (bash, Python, or Node) that fetches the data, compares new listings to previous runs, and triggers Telegram alerts — Give practical recommendations for improving speed, reliability, and minimizing false positives — Suggest the easiest filter(s) to reduce noise in alerts, likely by number of rooms or rent cost, as this data is immediately displayed in each listing Requirements: — Proven experience scraping dynamic/JS-driven web pages or extracting JSON from network requests — Ability to write a lightweight, low-maintenance script — Clear documentation of what was done and how to adapt filters in the future — No unnecessary overhead; the goal is low cost, reliable, and long-term functional automation Deliverables: Clear instructions to locate the correct data source Working automation script connected to my GitHub Actions workflow Recommendations for filters to reduce noise (room, rent, WBS eligibility if visible) Optional: notes on how to extend safely if site changes Budget: — Open to low-cost proposals; efficiency and precision valued over heavy frameworks or long development time Additional info: I already have all notification and scheduling infrastructure set up. I’m only missing the real data source and correct extraction logic.