OpenTable Availability Tracker

Check real reservation availability on OpenTable for any restaurant, date, time and party size — and get back every bookable timeslot, not just a yes/no.

Point it at a list of restaurants (ids, OpenTable URLs or plain names) or at a whole city, pick your dates and party sizes, and each run returns one row per restaurant × date × party size with the full slot list, booking window, party-size limits and current offers. No browser and no login required.

Who it's for

You are	You get
Chasing a hard-to-book table	Schedule a run every 15 minutes with Only rows with availability on, and let a webhook ping you the moment a slot opens.
A concierge or travel service	Availability for a whole shortlist of restaurants across a client's trip dates in a single run.
A hospitality analyst	Slot counts over time as a direct occupancy and demand proxy across a market.
A travel or dining app developer	A clean JSON availability feed you can poll on a schedule instead of automating a browser.

What you get — output fields

Field	Type	Description
restaurantId	string	OpenTable restaurant id
name, url	string	Restaurant name and profile URL
address, city, state, postalCode, country	string	Location
latitude / longitude	number	GPS coordinates
neighborhood	string	OpenTable neighborhood
cuisine / cuisines	string / array	Cuisine tags
priceBand	string	Price band, e.g. $31 to $50
phone	string	Restaurant phone number
rating, reviewCount	number / integer	Overall score and rating volume
date	string	Date checked
requestedTime	string	Reference time used
partySize	integer	Party size checked
isAvailable	boolean	Whether anything is bookable
availableSlotCount	integer	Number of bookable slots
availableTimes	array	Bookable times as HH:MM
earliestTime / latestTime	string	First and last bookable time
slots	array	Full slot objects: time, table type, loyalty points, price, offer ids, dining area and booking token
minPartySize, maxPartySize, maxDaysInAdvance	integer	Booking limits
noAvailabilityReasons, dateMessages	array	Why nothing is bookable, when applicable
bookingWindowStart / bookingWindowEnd	string	Current booking window
hasPrivateDining	boolean	Bookable private dining spaces exist
suggestedTimes	array	Alternatives OpenTable suggests when the date is full
offers	array	Promotions and prix-fixe menus
checkedAt	string	UTC timestamp of the check

High-value use cases

1. Catch a cancellation. Track one restaurant, one date, Only rows with availability on, scheduled every 15 minutes — a webhook fires the moment a table appears, and empty checks cost you nothing in results.
2. Plan a trip. Track 20 restaurants across five nights and two party sizes in one run, then sort the dataset by availableSlotCount.
3. Measure demand in a market. Track the top 50 restaurants in a city nightly and chart slot counts as an occupancy proxy.
4. Find the quiet nights. Compare the same restaurant across a week to see which evenings still have prime-time tables.
5. Compare party sizes. Check 2 versus 4 versus 6 covers to find out where larger groups actually fit.

Input parameters

Parameter	Type	Default	Description
restaurants	array	—	Restaurant ids (2295), profile URLs, or names (Balthazar New York)
location	string	—	Track the top restaurants in an area instead of a fixed list
maxRestaurants	integer	20	How many restaurants to pull when tracking by location
dates	array	today	Dates as YYYY-MM-DD
daysAhead	integer	0	Used when no dates are given: today plus this many days
times	array	["19:00"]	Reference times, 24-hour HH:MM
partySizes	array	["2"]	Party sizes to check
fullDay	boolean	true	Whole service day instead of slots near the reference time
onlyAvailable	boolean	false	Push only rows that have a bookable slot
includeRestaurantInfo	boolean	true	Add name, address, GPS, cuisine, price band, phone and rating
maxItems	integer	500	Safety cap on rows
proxyConfiguration	object	Apify Proxy on	Leave enabled — see the FAQ

Rows scale as restaurants × dates × times × partySizes. The Actor logs the planned number of checks before it starts and never exceeds maxItems.

Example input

{
    "restaurants": [
        "https://www.opentable.com/restaurant/profile/2295",
        "Balthazar New York"
    ],
    "daysAhead": 6,
    "times": ["19:00"],
    "partySizes": ["2", "4"],
    "fullDay": true,
    "onlyAvailable": true,
    "maxItems": 100
}

Example output

{
    "restaurantId": "2295",
    "name": "Carmine's - 44th Street - NYC",
    "url": "https://www.opentable.com/restaurant/profile/2295",
    "city": "New York",
    "state": "NY",
    "latitude": 40.7573,
    "longitude": -73.9871,
    "cuisine": "Italian",
    "priceBand": "$30 and under",
    "rating": 4.6,
    "reviewCount": 32986,
    "date": "2026-09-12",
    "requestedTime": "19:00",
    "partySize": 2,
    "isAvailable": true,
    "availableSlotCount": 41,
    "availableTimes": ["11:00", "11:15", "11:30"],
    "earliestTime": "11:00",
    "latestTime": "22:45",
    "slots": [
        {
            "dateTime": "2026-09-12T19:00",
            "time": "19:00",
            "type": "Standard",
            "points": 100,
            "priceAmount": 0,
            "offerIds": [],
            "diningAreas": ["INDOOR"],
            "token": "eyJ2IjozLCJtIjoxLCJ..."
        }
    ],
    "minPartySize": 1,
    "maxPartySize": 14,
    "checkedAt": "2026-09-02T12:00:00Z"
}

Scheduling, webhooks and integrations

• Schedule the Actor as often as you like — every 15 minutes is a common cadence for cancellation hunting.
• Webhooks on ACTOR.RUN.SUCCEEDED let you alert Slack, email or your own service as soon as a run produces rows. Combine with Only rows with availability so a run that finds nothing produces no rows at all.
• Export to JSON, CSV, Excel, XML or RSS, or connect Google Sheets, Zapier, Make, Airbyte or S3.
• Resume-safe: progress is checkpointed after every row, so an interrupted run picks up where it stopped without repeating checks.

Use it from an AI assistant (MCP)

Callable by Claude, ChatGPT or any MCP-compatible agent via the Apify MCP server — an assistant can answer "is there a table for four at Carmine's this Saturday?" by running it. From code:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("axlymxp/opentable-availability-tracker").call(
    run_input={
        "restaurants": ["2295"],
        "daysAhead": 6,
        "partySizes": ["2"],
        "onlyAvailable": True,
    }
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["date"], row["availableSlotCount"], row["availableTimes"])

FAQ

Is this real availability or an estimate? Real. Each row comes from OpenTable's own availability service for that exact restaurant, date and party size, at the moment the run executes.

Can it book a table for me? No. This Actor is read-only — it reports availability and returns each slot's booking token, but never makes, changes or cancels a reservation.

How do I identify a restaurant? Any of three ways: the numeric OpenTable id, an opentable.com/restaurant/profile/<id> URL, or the restaurant's name. Names are resolved through OpenTable's own search; use the id or URL when a name is ambiguous.

Why did a restaurant return no rows? Either the name could not be matched (check the log — it says which entries were skipped) or the date falls outside the venue's booking window. In the latter case you still get a row with isAvailable: false and noAvailabilityReasons filled in, unless Only rows with availability is on.

How far ahead can I check? As far as the restaurant allows; maxDaysInAdvance in each row tells you the limit for that venue (commonly 90 days).

Does it work outside the US? Yes — restaurants in every OpenTable market are supported.

Do I need a proxy? It is on by default and there is nothing to configure. OpenTable silently drops some requests coming from datacenter IP ranges, so leaving it enabled keeps runs reliable.

Is this legal? The Actor reads publicly available reservation information. You are responsible for using the output in line with OpenTable's terms and applicable law.