party_size: The party size that can be accommodated during this time
slot. A restaurant can be associated with multiple Slots for the same time,
each specifying a different party_size, if for instance 2, 3, or 4 people
can be seated with a reservation
spots_open: The number of spots currently available for this
availability entry
spots_total: The total number of spots that the merchant has for this
configuration (including those that are not available)
These three parameters work together to build a digital representation of the
floor plan. party_size is the number of people each table can hold (there will
be an entry for every size a table can accommodate). spots_open and spots_total
are counts of how many tables can accommodate that party_size.
Example empty floor plan
Imagine a restaurant with the following floor plan and no active
bookings:
Figure 1: Floor plan with no
active bookings
The values for party_size, spots_open, and spots_total would be:
party_size
spots_open
spots_total
4
3
3
5
3
3
6
4
4
7
1
1
8
1
1
The availability feed for one time slot at this merchant would look like:
Specifying dining availability with combined tables support
There are many ways that a restaurant could combine tables to support larger
groups. You are expected in your feeds to specify spots_open and spots_total
in a way that accurately reflects whether you can accept parties of a given
size. What follows is one example of how you can specify combining tables.
Your feeds may differ somewhat in how this calculation is made and it is
acceptable for you to specify spots_open and spots_total in a way that
matches your business logic.
If a restaurant supports combining tables to form a larger party, you can
update your spots_open and spots_total to reflect this.
Say a restaurant can combine two small tables to seat a party of 7-10
people.
Figure 3: Floor plan with no
active bookings
In the case of no active bookings, the values for party_size, spots_open,
and spots_total are:
party_size
spots_open
spots_total
4
3
3
5
3
3
6
4
4
7
1
1
8
1
1
9
1
1
10
1
1
Now, with the same floor plan, a booking is made for a party size of 10 that
combines two small tables.
Figure 4: Floor plan with one active booking spanning two tables
Then, the values for party_size, spots_open, and spots_total are now:
[null,null,["Last updated 2025-05-20 UTC."],[[["\u003cp\u003e\u003ccode\u003eparty_size\u003c/code\u003e, \u003ccode\u003espots_open\u003c/code\u003e, and \u003ccode\u003espots_total\u003c/code\u003e are key parameters in the Availability feed that represent a restaurant's floor plan and seating capacity.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003espots_open\u003c/code\u003e and \u003ccode\u003espots_total\u003c/code\u003e are dynamic values that reflect real-time availability, decreasing as bookings are made and tables are occupied.\u003c/p\u003e\n"],["\u003cp\u003eRestaurants can utilize these parameters to indicate support for combining tables for larger parties, adjusting \u003ccode\u003espots_open\u003c/code\u003e and \u003ccode\u003espots_total\u003c/code\u003e accordingly.\u003c/p\u003e\n"],["\u003cp\u003eThe provided JSON examples demonstrate how the Availability feed is structured and how these parameters are used to represent different booking scenarios.\u003c/p\u003e\n"],["\u003cp\u003eMerchants can adapt their feed logic to align with their specific business rules for managing table availability and combinations.\u003c/p\u003e\n"]]],["The core content details how `party_size`, `spots_open`, and `spots_total` define restaurant availability. `Party_size` indicates the capacity per table. `Spots_open` represents the currently available spots, while `spots_total` is the total spots a merchant has. Restaurants can have multiple slots for the same time, each with varying `party_size`. Examples illustrate floor plan representation both with and without bookings, showing how `spots_open` decreases as bookings are made and how table combination support is handled.\n"],null,["# Structuring availability data for Reservations\n\nParameter definitions\n---------------------\n\nAs specified in the\n[`Availability`](/actions-center/verticals/reservations/e2e/reference/feeds/availability-feed#Availability-definition)\ndefinition:\n\n- `party_size`: The party size that can be accommodated during this time slot. A restaurant can be associated with multiple Slots for the same time, each specifying a different `party_size`, if for instance 2, 3, or 4 people can be seated with a reservation\n- `spots_open`: The number of spots currently available for this availability entry\n- `spots_total`: The total number of spots that the merchant has for this configuration (including those that are not available)\n\nThese three parameters work together to build a digital representation of the\nfloor plan. `party_size` is the number of people each table can hold (there will\nbe an entry for every size a table can accommodate). `spots_open` and `spots_total`\nare counts of how many tables can accommodate that `party_size`.\n\nExample empty floor plan\n------------------------\n\nImagine a restaurant with the following floor plan and no active\nbookings:\n**Figure 1:** Floor plan with no active bookings\n\nThe values for `party_size`, `spots_open`, and `spots_total` would be:\n\n| party_size | spots_open | spots_total |\n|------------|------------|-------------|\n| 4 | 3 | 3 |\n| 5 | 3 | 3 |\n| 6 | 4 | 4 |\n| 7 | 1 | 1 |\n| 8 | 1 | 1 |\n\nThe availability feed for one time slot at this merchant would look like: \n\n### JSON\n\n```json\n{\n \"availability\": [\n {\n \"spots_total\": 3,\n \"spots_open\": 3,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 4\n }\n },\n {\n \"spots_total\": 3,\n \"spots_open\": 3,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 5\n }\n },\n {\n \"spots_total\": 4,\n \"spots_open\": 4,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 6\n }\n },\n {\n \"spots_total\": 1,\n \"spots_open\": 1,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 7\n }\n },\n {\n \"spots_total\": 1,\n \"spots_open\": 1,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 8\n }\n }\n ]\n}\n```\n\nExample floor plan with a booking\n---------------------------------\n\nNow imagine that one of the round tables was booked:\n**Figure 2:** Floor plan with one active booking\n\nThe values for `party_size`, `spots_open`, and `spots_total` would now be:\n\n| party_size | spots_open | spots_total |\n|------------|------------|-------------|\n| 4 | 2 | 3 |\n| 5 | 2 | 3 |\n| 6 | 3 | 4 |\n| 7 | 1 | 1 |\n| 8 | 1 | 1 |\n\n### JSON\n\n```json\n{\n \"availability\": [\n {\n \"spots_total\": 3,\n \"spots_open\": 2,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 4\n }\n },\n {\n \"spots_total\": 3,\n \"spots_open\": 2,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 5\n }\n },\n {\n \"spots_total\": 4,\n \"spots_open\": 3,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 6\n }\n },\n {\n \"spots_total\": 1,\n \"spots_open\": 1,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 7\n }\n },\n {\n \"spots_total\": 1,\n \"spots_open\": 1,\n \"duration_sec\": 3600,\n \"service_id\": \"1000\",\n \"start_sec\": 1535806800,\n \"merchant_id\": \"merch1\",\n \"resources\": {\n \"party_size\": 8\n }\n }\n ]\n}\n```\n\nSpecifying dining availability with combined tables support\n-----------------------------------------------------------\n\nThere are many ways that a restaurant could combine tables to support larger\ngroups. You are expected in your feeds to specify `spots_open` and `spots_total`\nin a way that accurately reflects whether you can accept parties of a given\nsize. What follows is one example of how you can specify combining tables.\nYour feeds may differ somewhat in how this calculation is made and it is\nacceptable for you to specify `spots_open` and `spots_total` in a way that\nmatches your business logic.\n\nIf a restaurant supports combining tables to form a larger party, you can\nupdate your `spots_open` and `spots_total` to reflect this.\n\nSay a restaurant can combine two small tables to seat a party of 7-10\npeople.\n**Figure 3:** Floor plan with no active bookings\n\nIn the case of no active bookings, the values for `party_size`, `spots_open`,\nand `spots_total` are:\n\n| party_size | spots_open | spots_total |\n|------------|------------|-------------|\n| 4 | 3 | 3 |\n| 5 | 3 | 3 |\n| 6 | 4 | 4 |\n| 7 | 1 | 1 |\n| 8 | 1 | 1 |\n| 9 | 1 | 1 |\n| 10 | 1 | 1 |\n\nNow, with the same floor plan, a booking is made for a party size of 10 that\ncombines two small tables.\n**Figure 4:** Floor plan with one active booking spanning two tables\n\nThen, the values for `party_size`, `spots_open`, and `spots_total` are now:\n\n| party_size | spots_open | spots_total |\n|------------|------------|-------------|\n| 4 | 1 | 3 |\n| 5 | 1 | 3 |\n| 6 | 2 | 4 |\n| 7 | 1 | 1 |\n| 8 | 1 | 1 |\n| 9 | 0 | 1 |\n| 10 | 0 | 1 |"]]