Documentation Upd: Sevenrooms Api
Query open time slots for a specific party size and date. POST /reservations: Hold or confirm a reservation.
Your receiving server must listen for incoming HTTP POST requests. Best practices include responding immediately with a 200 OK status to acknowledge receipt, then processing the payload asynchronously using a task queue like Celery or Amazon SQS. 4. Best Practices for Developers
When fetching large datasets—such as downloading a complete guest list for marketing syncs—SevenRooms uses cursor-based or offset pagination. Always look for pagination fields ( next_cursor or has_more ) in the JSON response metadata to loop through records safely without hitting rate limits. Rate Limits and Error Handling Rate Limiting sevenrooms api documentation
This is where the comes into play. For developers, technical product managers, and systems integrators, understanding the SevenRooms API documentation is the first step toward building seamless, real-time hospitality ecosystems.
: The API supports critical hospitality workflows, including real-time reservation and waitlist availability across major channels like Google Search, Maps, and Assistant . Query open time slots for a specific party size and date
The guest object is the atomic unit of SevenRooms. Every diner, walk-in, or regular gets a guest_id .
Essential for real-time updates. For instance, when a table is assigned or seated in SevenRooms, a webhook can trigger an update in a Polygon POS system to notify staff that a check should be opened. Best practices include responding immediately with a 200
Cache venue details, floor plans, and user configurations locally. Do not request them for every reservation look-up.
The SevenRooms API documentation is in quality—better than some legacy PMS systems, but not as polished as Stripe or Twilio. You’ll find clear endpoint definitions, but you may need to request additional examples or webhook schemas directly from your SevenRooms solutions engineer.
The API enables seamless connections between your guest data and the tools you use every day: