Pricing

from $3.00 / 1,000 dataset items

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OpenTable Restaurant Scraper

Try for free

Scrape OpenTable restaurants by city, neighborhood or ZIP — including the phone numbers, websites and opening hours listing scrapers miss. Plus cuisines, price bands, GPS, full rating breakdowns, reviews and live reservation times as JSON. Pay only for the results you get.

Pricing

from $3.00 / 1,000 dataset items

Rating

0.0

(0)

Developer

axly

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Travel

Lead generation

E-commerce

Location

location

Optional

City, neighborhood or ZIP code to search around — for example 'Chicago', 'Soho, London' or '94110'. Use a plain form; over-qualified strings like 'Chicago, Illinois, USA' resolve less reliably. Ignored when latitude and longitude are set.

Type:string

Example:

New York

Keyword (optional)

searchTerm

Optional

Narrow the search to restaurants matching a keyword, e.g. 'sushi', 'steakhouse' or a restaurant name. Leave empty to return everything in the area.

Type:string

Example:

sushi

Max restaurants

maxItems

Optional

Stop after this many restaurants. Each restaurant is one dataset row.

Type:integer

Minimum:1

Maximum:10000

Default:50

Include full profile (phone, website, hours)

includeDetails

Optional

Fetch each restaurant's full profile. Required for phone number, website, opening hours, dress code, dining style, executive chef, parking, payment options and accessibility. Turning this off makes runs faster but drops those fields.

Type:boolean

Default:true

Reviews per restaurant

reviewsPerRestaurant

Optional

Attach up to this many diner reviews to each row (text, sub-ratings, dined date). Set 0 to skip reviews.

Type:integer

Minimum:0

Maximum:200

Default:0

Review order

reviewsSortBy

Optional

Order in which reviews are collected.

Type:string

Default:newestReview

Options:

newestReviewhighestRatinglowestRating

Include live reservation times

includeAvailability

Optional

Attach bookable timeslots for the reservation date, time and party size below.

Type:boolean

Default:false

Whole-day availability

fullDayAvailability

Optional

When live reservation times are enabled, return every slot of the service day instead of only those near the reservation time.

Type:boolean

Default:false

Reservation date

reservationDate

Optional

Date used for the availability check, in YYYY-MM-DD format. Defaults to today.

Type:string

Example:

2026-09-12

Reservation time

reservationTime

Optional

Time used for the availability check, in 24-hour HH:MM format.

Type:string

Default:19:00

Example:

19:30

Party size

partySize

Optional

Number of diners used for the availability check.

Type:integer

Minimum:1

Maximum:20

Default:2

Cuisines

cuisines

Optional

Only return restaurants of these cuisines, by name (e.g. 'Italian', 'Steakhouse', 'Japanese'). Names are matched against the cuisines OpenTable actually lists for the searched area; an unknown name fails the run with the list of valid options.

Type:array

Example:

[
  "Italian",
  "Steakhouse"
]

Price bands

priceBands

Optional

Only return restaurants in these price bands.

Type:string[]

Example:

[
  "3",
  "4"
]

Sort by

sort

Optional

Result ordering returned by OpenTable.

Type:string

Default:best

Options:

bestdistancerating

Latitude (optional)

latitude

Optional

Exact search centre latitude, e.g. 41.9014. Set together with longitude to skip location lookup entirely.

Type:string

Example:

41.9014

Longitude (optional)

longitude

Optional

Exact search centre longitude, e.g. -87.6503. Set together with latitude to skip location lookup entirely.

Type:string

Example:

-87.6503

Proxy configuration

proxyConfiguration

Optional

Leave enabled. OpenTable silently drops requests for the full restaurant profile from datacenter IP ranges, so a proxy is required for phone numbers, websites and opening hours.

Type:object

Default:

{
  "useApifyProxy": true
}

OpenTable Restaurants Scraper

parseforge/opentable-scraper

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ParseForge

1.8

(2)

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R.L.

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Extract comprehensive restaurant data from OpenTable, including menus, user reviews, ratings, and location details. Ideal for market research and dining analytics. For seamless extraction and to avoid IP blocking, using residential proxies is highly advised.