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Resy-Bot

Resy exposes a number of API endpoints for making reservations, these can be investigated by taking a look at the api.resy.com calls from the network tab. We can have some fun making automated calls to those endpoints right when reservations become available

Running

Dependencies

Primary dependencies are pydantic and requests. pydantic is used for serializing/deserializing requests/responses from Resy.

This project's dependencies are managed by poetry, so (assuming you have poetry installed) you can just install as easily as poetry install.

Local Configuration

The primary pieces of configuration for local execution are defined in the ResyConfig and TimedReservationRequest pydantic models in resy_bot/models.py.

ResyConfig

ResyConfig specifies credentials for personal Resy accounts. Users should create a credentials.json file formatted as:

{
  "api_key": "<api-key>",
  "token": "<api-token>",
  "payment_method_id": <payment-method>,
  "email": "<email>",
  "password": "<password>"
}

These values can be found in requests made in the Network tab.

  • api_key can be found in the request headers under the key Authorization in the format ResyAPI api_key="<api-key>"
  • token can be found in the request headers under the key X-Resy-Auth-Token
  • payment_method_id can be found in the request body to the endpoint /3/book

TimedReservationRequest

In order to make a reservation right as it drops, a JSON TimedReservationRequest must be created, see the following example JSON:

{
"reservation_request": {
  "party_size": 4,
  "venue_id": 12345,
  "window_hours": 1,
  "prefer_early": false,
  "ideal_date": "2023-03-30",
  "days_in_advance": 14,
  "ideal_hour": 19,
  "ideal_minute": 30,
  "preferred_type": "Dining Room"
},
  "expected_drop_hour": "10",
  "expected_drop_minute": "0"
}

These fields are mostly determined by the user:

  • party_size is the number of members in the party
  • venue_id is another field taken from communication in the Network tab. This can be found as a URL param in requests to the /2/config endpoint when navigating to the desired restaurant page
  • window_hours is the number of hours before & after the ideal hour/minute you are interested in
  • prefer_early determines whether the earlier slot is selected when 2 time slots equidistant fom ideal hour/minute
  • ideal_date is the date to search. This should not be provided if days_in_advance is used
  • days_in_advance is the number of days from now that the reservation becomes available. This should not be provided if ideal_date is used
  • ideal_hour defines the hour field of the ideal timeslot
  • ideal_minute defines the minute field of the ideal timeslot
  • preferred_type is an optional field defining the type of seating desired. If provided, Resy-Bot will only search for that seating type
  • expected_drop_hour defines the hour field to of datetime to start searching for slots
  • expected_drop_minute defines the minute field to of datetime to start searching for slots

Command Line Execution

This application can be run from the command line. To do so, the command should be formatted as

poetry run python main.py <path/to/credentials.json> <path/to/reservation/request.json>

From here, the application will wait until the time specified by expected_drop_hour and expected_drop_minute to begin searching for available timeslots.