OpenTable Reviews Scraper

🍽️ Study OpenTable diner feedback in one dataset

Restaurant teams, researchers, and analysts can collect public OpenTable reviews with full text, ratings, and restaurant details. Save diner feedback as structured data to study complaints, compare dining experiences, and track review changes without copying each page by hand.

• Collect feedback from chosen venues with OpenTable Restaurant Reviews.
• Find reviews from venues in an area with OpenTable Reviews Scraper.
• Study negative dining feedback with OpenTable Reviews Complaints.
• Download feedback for your own reports with Export OpenTable Reviews.
• Find new or changed feedback across runs with OpenTable Review Monitoring.

📄 Full review text with dining context

Each saved row is one public diner review. It includes the review ID, full text, overall rating, and restaurant name. Other source details can include food, service, ambience, value, and noise ratings; dining and submission dates; public diner details; helpfulness votes; replies; photos; and tags.

Restaurant details can include cuisines, location, price category, images, review totals, and restaurant-wide ratings. Optional details may be missing when OpenTable does not provide them. Review text stays in its original language.

▶️ Choose restaurants and collect their reviews

1. Choose how to find restaurants: URLs, slugs, keywords and area, coordinates, or listing page URLs.
2. Fill in the fields for that choice. Other choice fields are ignored.
3. Set shared filters and collection limits if needed.
4. Start the run and open Diner reviews in the output to view or download the data.

The first eligible occurrence of a review is saved as it is found. Later matches for the same source review are skipped, even if it is found through another keyword or submitted URL. A saved row is not updated to add later matches.

For later runs, use the same monitoring tracking name to find new, edited, or reappearing reviews. To continue an interrupted collection, enter its Apify run ID; reviews already saved by that collection are skipped.

⚙️ Input

Choose one way to find restaurants. Shared filters apply to every choice.

Field	Type	What it does
findBy	string	Required. Choose urls, slugs, keywords, coordinates, or listings.
restaurantUrls	array of objects	OpenTable restaurant profile URLs for urls.
restaurantUrls[].url	string	One restaurant profile URL.
restaurantSlugs	array of strings	Profile slugs for slugs, such as le-bernardin-new-york.
keywords	array of strings	Dining keywords for keywords, such as sushi or brunch.
area	string	City, neighborhood, or address for the keyword search.
coordinates	array of objects	Latitude and longitude pairs for nearby discovery.
coordinates[].latitude	number	Required in each pair. Decimal latitude from -90 to 90.
coordinates[].longitude	number	Required in each pair. Decimal longitude from -180 to 180.
listingUrls	array of objects	OpenTable metro, neighborhood, or search-page URLs for listings.
listingUrls[].url	string	One listing page URL.
sort	string	Review order within each restaurant: newest, highestRated, or lowestRated. Default: newest.
minimumRatings	object	Minimum accepted ratings from 1 to 5. Leave each rating empty to allow any value.
minimumRatings.overall	integer	Minimum overall rating. Reviews missing this rating do not match.
minimumRatings.food	integer	Minimum food rating. Reviews missing this rating do not match.
minimumRatings.service	integer	Minimum service rating. Reviews missing this rating do not match.
minimumRatings.ambience	integer	Minimum ambience rating. Reviews missing this rating do not match.
minimumRatings.value	integer	Minimum value rating. Reviews missing this rating do not match.
diningDateFrom	string	Keep dining dates on or after this date, in YYYY-MM-DD form.
diningDateTo	string	Keep dining dates on or before this date, in YYYY-MM-DD form.
cuisines	array of strings	Keep restaurants in these cuisines. Empty allows all cuisines.
neighborhoods	array of strings	Keep restaurants in these neighborhoods. Empty allows all neighborhoods.
vipOnly	boolean	Keep only reviews from diners marked VIP by OpenTable. Default: false.
photosOnly	boolean	Keep only reviews with diner photos. Default: false.
maxItems	integer	Stop after this many matching reviews across all restaurants. Leave empty to return all available matches until the source is exhausted.
maxReviewsPerRestaurant	integer	Stop after this many matching reviews per restaurant. Leave empty to return all available matches until the source is exhausted.
maxRestaurants	integer	Limit matching restaurants found through keywords, coordinates, or listing pages. Leave empty to find all available matches until the source is exhausted.
monitoring	object	Find new, edited, or reappearing reviews across runs. Leave empty for regular collection.
monitoring.trackingName	string	Required when monitoring is used. Reuse this history name on later runs. Use a different name for a different restaurant set.
monitoring.includeUnchanged	boolean	Also save reviews that have not changed since the last run.
monitoring.trackDisappearances	boolean	Report previously seen reviews that are now missing. Confirm disappearance only after complete coverage of the tracked restaurants.
continueRunId	string	Apify run ID of an interrupted collection to continue. Empty starts a new collection.

All three collection limits accept positive integers and have no fixed upper bound. Other limits still apply when one limit is left empty.

Example input

This is the public input from the successful default-input run.

{
  "findBy": "urls",
  "restaurantUrls": [
    {
      "url": "https://www.opentable.com/r/la-grande-boucherie-new-york"
    }
  ],
  "sort": "newest",
  "vipOnly": false,
  "photosOnly": false,
  "maxItems": 20
}

🧾 Output

Open Diner reviews to view the default dataset. Each row has the same review shape. reviewId, text, overallRating, and restaurant are required; other details may be absent.

Field	Type	What it does
reviewId	string	Source review ID for linking review history.
text	string	Full review text in its original language.
overallRating	number	Diner's overall rating, from 1 to 5.
ratings	object	Other ratings given by the diner.
ratings.food	number	Diner's food rating.
ratings.service	number	Diner's service rating.
ratings.ambience	number	Diner's ambience rating.
ratings.value	number	Diner's value rating.
ratings.noise	string	Source noise rating or label.
diningDate	string	Dining date shown by OpenTable.
submittedAt	string	Review submission date or time shown by OpenTable.
diner	object	Public diner details.
diner.name	string	Public diner name.
diner.location	string	Public diner location.
diner.reviewCount	integer	Diner review total reported by OpenTable.
diner.isVip	boolean	Whether OpenTable marks the diner VIP.
diner.imageUrl	string	Diner profile image link.
verificationType	string	Review verification type supplied by OpenTable.
previousRestaurantConcept	string	Previous restaurant concept named by the source.
helpfulness	object	Votes about whether the review was helpful.
helpfulness.positive	integer	Positive helpfulness votes.
helpfulness.negative	integer	Negative helpfulness votes.
replies	array of objects	Public restaurant replies when available.
replies[].text	string	Full reply text.
replies[].date	string	Reply date or time shown by OpenTable.
photoUrls	array of strings	Links to diner review photos.
tags	array of strings	Review tags supplied by OpenTable.
restaurant	object	Restaurant linked to the review.
restaurant.id	string	Source restaurant ID.
restaurant.name	string	Restaurant name.
restaurant.url	string	Restaurant profile link.
restaurant.cuisines	array of strings	Restaurant cuisines.
restaurant.location	object	Restaurant location.
restaurant.location.address	string	Street address.
restaurant.location.city	string	City name.
restaurant.location.neighborhood	string	Neighborhood name.
restaurant.location.region	string	State or region.
restaurant.location.country	string	Country name.
restaurant.location.latitude	number	Latitude in decimal degrees.
restaurant.location.longitude	number	Longitude in decimal degrees.
restaurant.priceCategory	string	Restaurant price category.
restaurant.currency	string	Source currency code or label.
restaurant.imageUrl	string	Restaurant image link.
restaurant.ratings	object	Restaurant-wide ratings reported by OpenTable.
restaurant.ratings.food	number	Restaurant-wide food rating.
restaurant.ratings.service	number	Restaurant-wide service rating.
restaurant.ratings.ambience	number	Restaurant-wide ambience rating.
restaurant.ratings.value	number	Restaurant-wide value rating.
restaurant.ratings.overall	number	Restaurant-wide overall rating.
restaurant.ratings.noise	string	Restaurant-wide noise rating or label.
restaurant.reviewCount	integer	Restaurant-wide review total.
restaurant.ratingDistribution	object	Restaurant-wide star totals.
restaurant.ratingDistribution.oneStar	integer	Number of 1-star ratings.
restaurant.ratingDistribution.twoStars	integer	Number of 2-star ratings.
restaurant.ratingDistribution.threeStars	integer	Number of 3-star ratings.
restaurant.ratingDistribution.fourStars	integer	Number of 4-star ratings.
restaurant.ratingDistribution.fiveStars	integer	Number of 5-star ratings.

Example review

This complete row comes from a successful run of the current beta build.

{
  "reviewId": "OT-267284-87-220064325612",
  "text": "Great food and very friendly staff. Food was ready on time and perfectly served.",
  "overallRating": 5,
  "restaurant": {
    "id": "267284",
    "name": "Dosa House",
    "url": "https://www.opentable.com/r/dosa-house-wollongong",
    "cuisines": [
      "Indian"
    ],
    "location": {
      "address": "49 Harbour St",
      "city": "Wollongong",
      "neighborhood": "Wollongong",
      "region": "AU-NSW",
      "country": "Australia",
      "latitude": -34.4286045,
      "longitude": 150.9024568
    },
    "priceCategory": "$40 and under",
    "currency": "$",
    "imageUrl": "https://resizer.otstatic.com/v3/photos/78726502-3",
    "ratings": {
      "food": 3.7,
      "service": 3,
      "ambience": 3.3,
      "value": 3.7,
      "overall": 3.7,
      "noise": "3"
    },
    "reviewCount": 3,
    "ratingDistribution": {
      "oneStar": 1,
      "twoStars": 0,
      "threeStars": 0,
      "fourStars": 0,
      "fiveStars": 2
    }
  },
  "ratings": {
    "food": 5,
    "service": 5,
    "ambience": 5,
    "value": 5,
    "noise": "ENERGETIC"
  },
  "diningDate": "2025-12-09T19:00:00+11:00",
  "submittedAt": "2025-12-11T23:28:59Z",
  "diner": {
    "name": "Kashif",
    "location": "New South Wales",
    "reviewCount": 1
  },
  "verificationType": "OPENTABLEVERIFIED",
  "helpfulness": {
    "positive": 0,
    "negative": 0
  }
}

💳 Pricing

The Diner review event charges for each public diner review collected and saved to your dataset. Work that saves no review does not trigger this event. See the Actor's pricing panel for the current price.

🔌 Integrations

Use Apify dataset exports to download reviews as JSON or CSV. You can also start runs and read datasets through the Apify API, or use Apify schedules for recurring collection.

Video guide

❓ FAQ

When is a missing review confirmed as disappeared?

Only after complete coverage of the tracked restaurants. Turn on monitoring.trackDisappearances and reuse the same tracking name. A run stopped by a limit may not give that complete coverage.

How do I collect reviews that have not changed?

Set monitoring.includeUnchanged to true. Use the same tracking name for the same restaurant set. Leave monitoring empty for a regular collection.

How do I continue an interrupted collection?

Set continueRunId to the interrupted Apify run ID. Reviews already saved by that collection are skipped.

Why are some details missing?

OpenTable may not expose every optional field. A review can still be saved when photos, replies, diner details, or extra restaurant details are unavailable.

Does review order apply across all restaurants?

No. sort chooses the order within each restaurant. It does not sort the full dataset across restaurants.

Can I collect all available matching reviews?

Leave maxItems and maxReviewsPerRestaurant empty to return all available matches until the source is exhausted. For discovery, also leave maxRestaurants empty to find all available matching restaurants until the source is exhausted. Coverage depends on what OpenTable publicly exposes.

How can I study OpenTable reviews complaints?

Choose lowestRated to read lower-rated reviews first, then use the review text in your own analysis. The Actor does not create sentiment scores or summaries. Minimum rating filters keep ratings at or above the chosen value; they are not maximum rating filters.

Can this leave a review on OpenTable without a reservation?

No. This Actor reads public reviews. It does not submit or edit reviews, book tables, or manage restaurant accounts.

Do I need an OpenTable login?

No buyer-supplied OpenTable login is required. Private and login-only content is outside this Actor's scope.

📝 Changelog

v0.0 (03-10-2026)

• Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

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• NYC + Chicago Restaurant Inspections Scraper: Add public inspection outcomes and violations to restaurant research.
• Swiggy Dineout Restaurants Scraper: Compare public restaurant listings, cuisines, prices, and dining offers on Dineout.

Made with ❤️ by Maxime Dupré