Food

Resy Scraper

Extract upscale restaurant listings, reservation availability, and curated dining guides from Resy. Powered by spider-browser .

Get Started Documentation

resy.com target

99.5% success rate

~4ms latency

Quick Start

Extract data in minutes

resy-scraper.ts

import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://resy.com/cities/ny");

const data = await page.extractFields({
  restaurantName: ".VenueName__text",
  cuisine: ".VenueCategories__text",
  neighborhood: ".VenueNeighborhood__text",
  priceRange: ".VenuePrice__text",
  availableSlots: ".ReservationButton__text",
  rating: ".VenueRating__text",
});

console.log(data);
await spider.close();

✓ ready to run | spider-browser | TypeScript

Fetch API

Structured data endpoint

Extract structured JSON from resy.com with a single POST request. AI-configured selectors, cached for fast repeat calls.

POST /fetch/resy.com/

Restaurant nameCuisinePrice rangeNeighborhoodAvailable slotsRating

Try it Fetch API Docs

curl

curl -X POST https://api.spider.cloud/fetch/resy.com/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

Python

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/resy.com/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/resy.com/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);

Extraction