TRAVEL AI DEVELOPER TOOLS API MCP READY

OpenTable Reviews API

Scrape OpenTable restaurant reviews as structured JSON: review text, dined and submitted dates, the diner's profile, and the full rating breakdown (overall, food, service, ambience, value, noise). For hospitality analytics and restaurant competitive intelligence. Pay per review, MCP-ready.

MEDIAN LAGon demand

PARAMETERS4

TOTAL USERS22

MONTHLY ACTIVE5

TOTAL RUNS105

SUCCESS (30D)100.0%

RATINGno ratings yet

LAST MODIFIED2026-09-03

PUBLISHED2026-06

Input parameters

PARAMETER	TYPE	REQ	DEFAULT	DESCRIPTION
restaurantId	string	no	—	Enter a single restaurant as either its OpenTable URL slug (for example 'r/central-park-boathouse-new-york-2') or the full restaurant page URL (for example…
restaurantIds	string[]	no	—	Provide a list of restaurants to fetch in one run, each as an OpenTable URL slug or a full restaurant page URL.
maxResultsPerRestaurant	integer	no	30	How many reviews to return per restaurant. — drives your bill
includeRestaurantSummary	boolean	no	False	If enabled, also return one restaurant-summary row per restaurant with the aggregate rating breakdown and total counts.

Worked examples

Basic — the required input, with the schema's own example values

{
  "restaurantId": "r/central-park-boathouse-new-york-2",
  "restaurantIds": [
    "example"
  ]
}

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~opentable-reviews-api/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"restaurantId": "r/central-park-boathouse-new-york-2", "restaurantIds": ["example"]}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/opentable-reviews-api").call(
    run_input={'restaurantId': 'r/central-park-boathouse-new-york-2', 'restaurantIds': ['example']}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)