Resy Scraper

Pull restaurants from Resy at scale — names, cuisines, neighborhoods, full addresses with coordinates, price bands, ratings, phone numbers, websites, social handles, photos, and platform IDs for every venue, plus optional real-time reservation time-slots for any date. Built for restaurant-tech teams, market analysts, and lead-gen agencies who need clean, structured Resy data across US dining markets without building and maintaining their own scraper.

Why This Scraper?

• ~40 fields per restaurant — name, cuisine tags, neighborhood, full street address with latitude/longitude, IANA time zone, phone, website, social profiles, photos, price band, rating, and review count, all in one flat row.
• Real reservation availability, opt-in — flip one switch to embed every bookable time-slot for a chosen date; a single popular venue returned up to ~90 slots in a single day during testing, each with start/end time, table type, and party size.
• Reservation times included at no extra per-slot cost — every restaurant stays one result, with its time-slots attached as a list inside it, so availability never multiplies your bill.
• Party sizes from 1 to 20 — check solo-diner counters or large-group tables; the actor queries the exact party size you ask for.
• Three cross-referencing platform IDs per venue — Resy venue ID, Google Place ID, and Foursquare ID, so you can join Resy records straight into Google or Foursquare datasets.
• 15 curated cuisine filters — American, French, Italian, Japanese, Korean, Mexican, Mediterranean, Seafood, Steakhouse, Sushi, Thai, and more, each running a focused city search.
• Four input modes in one run — search by city, free-text keyword, cuisine, or pasted Resy venue and city URLs, combinable in a single run.
• Coverage across US dining markets — New York, Los Angeles, Chicago, San Francisco, and beyond, all verified, with sustained pagination and maxResults: 0 for unlimited pulls.

Use Cases

Market Research

• Map the dining landscape of a city by cuisine, price band, and neighborhood
• Track which restaurants list on Resy in a target market over time
• Benchmark price bands ($–$$$$) across neighborhoods
• Build cuisine-mix profiles for entire metro areas

Lead Generation

• Build restaurant contact lists with phone, website, and social profiles
• Target venues by cuisine, neighborhood, or rating threshold
• Identify high-traffic restaurants by review count for sales outreach
• Enrich CRM records with verified venue addresses and coordinates

Competitive Intelligence

• Monitor reservation availability and prime-time slot scarcity at rival venues
• Compare booking windows and table types across competitors
• Track which venues offer waitlists versus open tables
• Watch party-size limits and large-party policies in a market

Restaurant Tech & Data Enrichment

• Power dining-discovery and reservation apps with structured venue feeds
• Join Resy venues to Google or Foursquare records via shared platform IDs
• Feed real-time slot availability into booking dashboards
• Geocode and map venues using built-in latitude/longitude

Getting Started

Scrape a City

The simplest run — just a city:

{
    "city": "new-york-ny",
    "maxResults": 50
}

Search by Cuisine and Keyword

{
    "city": "los-angeles-ca",
    "query": "sushi",
    "cuisine": ["japanese", "seafood"],
    "maxResults": 100
}

Include Reservation Availability

{
    "city": "chicago-il",
    "query": "italian",
    "maxResults": 25,
    "includeAvailability": true,
    "reservationDate": "2026-06-05",
    "partySize": 2
}

Scrape Specific Restaurants by URL

{
    "startUrls": [
        "https://resy.com/cities/new-york-ny/venues/eccolo-italian-restaurant"
    ],
    "includeAvailability": true,
    "partySize": 4
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
city	string	"new-york-ny"	City to search on Resy. Enter a city name, Resy city code, or URL slug (e.g. "New York", "london", "los-angeles-ca").
query	string	""	Free-text search by restaurant name, cuisine, or keyword (e.g. "sushi", "Carbone", "rooftop"). Leave empty to return all restaurants in the city.
startUrls	array	[]	Paste Resy restaurant or city page URLs to scrape directly. Use instead of, or alongside, the city/keyword search.

Filters

Parameter	Type	Default	Description
cuisine	array	[]	Narrow results to one or more common cuisines. Each selection runs a focused search for that cuisine in the city. Leave empty to include all cuisines.
maxResults	integer	100	Maximum number of restaurants to return. Set to 0 for unlimited.
includeDetails	boolean	true	Fetch each restaurant's full profile — ratings, street address, website, phone, social links, description, and photos. Turn off for faster, lighter results with just the core fields.

Cuisine options: American, Chinese, Cocktail Bar, French, Indian, Italian, Japanese, Korean, Mediterranean, Mexican, New American, Seafood, Steakhouse, Sushi, Thai.

Reservation Availability

Parameter	Type	Default	Description
includeAvailability	boolean	false	Also fetch real-time reservation time-slots for each restaurant. Each restaurant stays a single result — the time-slots are attached as a list inside it.
reservationDate	string	today	Date to check availability, in YYYY-MM-DD format. Leave empty to use today. Only used when availability is enabled.
partySize	integer	2	Number of guests for the reservation (1–20). Only used when availability is enabled.

Output

Each restaurant is returned as a single flat record. When reservation availability is enabled, the bookable time-slots are embedded as a slots list inside the same record.

{
    "recordType": "venue",
    "id": 443,
    "name": "Eccolo",
    "urlSlug": "eccolo-italian-restaurant",
    "url": "https://resy.com/cities/new-york-ny/venues/eccolo-italian-restaurant",
    "neighborhood": "SoHo",
    "locality": "New York",
    "region": "NY",
    "country": "US",
    "address": "200 Lafayette St",
    "postalCode": "10012",
    "latitude": 40.7203,
    "longitude": -73.9981,
    "timeZone": "America/New_York",
    "phone": "+12125551234",
    "website": "https://eccolo-nyc.com",
    "socialLinks": ["https://instagram.com/eccolonyc"],
    "cuisine": ["Italian"],
    "type": "Italian",
    "priceRange": "$$$",
    "currencyCode": "USD",
    "rating": 4.7,
    "ratingCount": 1820,
    "minPartySize": 1,
    "maxPartySize": 8,
    "images": ["https://image.resy.com/abc.jpg"],
    "description": "A modern Italian trattoria in SoHo...",
    "metaDescription": "Book a table at Eccolo on Resy.",
    "keywords": ["italian", "trattoria", "soho"],
    "collections": ["Hot New Restaurants"],
    "googlePlaceId": "ChIJ1234567890",
    "foursquareId": "4a1b2c3d4e5f",
    "venueGroup": "Eccolo Hospitality",
    "awards": [],
    "largePartyMessage": "For parties of 9+, please call.",
    "waitlistAvailable": true,
    "slotCount": 3,
    "slots": [
        {
            "startTime": "2026-06-05 18:00:00",
            "endTime": "2026-06-05 20:00:00",
            "type": "Dining Room",
            "configId": "rgs://resy/443/...",
            "hasAddOns": false,
            "shiftDay": "2026-06-05",
            "date": "2026-06-05",
            "partySize": 2
        }
    ],
    "scrapedAt": "2026-05-29T14:00:00Z"
}

Core & Identity

Field	Type	Description
recordType	string	Always "venue".
id	integer	Resy venue ID.
name	string	Restaurant name.
urlSlug	string	Resy URL slug.
url	string	Canonical Resy venue URL.
type	string	Venue type.
cuisine	array	Cuisine tags.
description	string	Venue description.
metaDescription	string	SEO meta description.
keywords	array	Keyword tags.
collections	array	Resy collections the venue appears in.
images	array	Photo URLs.
venueGroup	string	Parent venue group or operator.
awards	array	Awards and badges.
scrapedAt	string	ISO timestamp of the extraction.

Location

Field	Type	Description
neighborhood	string	Neighborhood.
locality	string	City.
region	string	State or region.
country	string	Country.
address	string	Street address.
postalCode	string	ZIP or postal code.
latitude	number	Latitude.
longitude	number	Longitude.
timeZone	string	IANA time zone.

Contact & Social

Field	Type	Description
phone	string	Phone number.
website	string	Restaurant website.
socialLinks	array	Social profile URLs (Instagram, Twitter/X, Facebook).

Ratings & Price

Field	Type	Description
priceRange	string	Price band ($–$$$$).
currencyCode	string	Currency code.
rating	number	Average rating.
ratingCount	integer	Number of ratings.
minPartySize	integer	Minimum party size accepted.
maxPartySize	integer	Maximum party size accepted.
largePartyMessage	string	Large-party note.
waitlistAvailable	boolean	Whether a waitlist is offered.

Platform IDs

Field	Type	Description
googlePlaceId	string	Google Place ID.
foursquareId	string	Foursquare ID.

Reservation Availability

slotCount is the number of bookable slots found (0 when availability is off). slots is the embedded list of time-slots, each with the fields below.

Field	Type	Description
slotCount	integer	Number of bookable slots found for the date and party size.
slots	array	Embedded list of reservation time-slots (populated only when availability is enabled).
slots[].startTime	string	Slot start time.
slots[].endTime	string	Slot end time.
slots[].type	string	Room or table type.
slots[].configId	string	Booking configuration token for the slot.
slots[].hasAddOns	boolean	Whether add-ons are available.
slots[].shiftDay	string	Service shift day.
slots[].date	string	Reservation date (YYYY-MM-DD).
slots[].partySize	integer	Party size queried.

Tips for Best Results

• Use the URL slug form for city (e.g. los-angeles-ca, san-francisco-ca) for the most reliable market resolution; plain city names and Resy city codes also work.
• Leave query empty to browse every restaurant in a city, or set it to a name, dish, or vibe ("rooftop", "omakase") to focus the search.
• Each cuisine you pick runs its own focused city search, so selecting several cuisines widens coverage rather than narrowing it — combine cuisines to sweep a market.
• Turn on includeAvailability only when you need bookable times; it queries each restaurant for the chosen date and adds one extra lookup per venue.
• Availability is a snapshot — prime dinner slots at popular venues turn over fast, so re-run close to your target date for the freshest open tables.
• Set maxResults to 0 for an exhaustive pull of a city, or cap it for quick samples; the actor overshoots the final page rather than cutting it short.
• Leave includeDetails on (the default) for the richest records — full address, website, social links, ratings, and photos. Turn it off for large, fast market sweeps when you only need core fields (name, neighborhood, cuisine, coordinates, price band).
• Combine startUrls with a city search in one run to pull specific known venues alongside a broad market sweep.

Pricing

$4.00 per 1,000 results — a single flat rate that undercuts the typical Resy data tier, with no compute charges and no per-slot surcharge for availability.

Results	Estimated Cost
100	$0.40
1,000	$4.00
10,000	$40.00
100,000	$400.00

A "result" is one restaurant record, including any embedded reservation time-slots — so availability never multiplies your bill. No compute charges — you only pay per result returned. Apify platform fees are additional.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This scraper collects publicly available restaurant information from Resy. Use the data responsibly and in compliance with Resy's terms of service and all applicable laws, including data-protection regulations such as GDPR and CCPA. Do not use the data to harass businesses, send unsolicited bulk communications, or for any unlawful purpose. You are responsible for how you use the data you collect.