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Food
Verified

Serious Eats Scraper

Extract science-driven recipes, technique guides, equipment reviews, and food lab articles from Serious Eats. Built on spider-browser .

Get started Docs
target
seriouseats.com
success rate
99.9%
latency
~4ms
Quick start

Extract data in minutes.

serious-eats-scraper.ts
import { SpiderBrowser } from "spider-browser";

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

await spider.connect();
const page = spider.page!;
await page.goto("https://www.seriouseats.com/the-best-slow-cooked-italian-american-tomato-sauce-red-sauce-recipe");
await page.content();

const data = await page.evaluate(`(() => {
  const recipe = {
    title: document.querySelector("h1.heading__title")?.textContent?.trim(),
    author: document.querySelector("[rel='author'], a[href*='/cook/'], [itemprop='author']")?.textContent?.trim(),
    rating: document.querySelector("[aria-label*='star'], [data-testid*='rating'], [class*='rating'] span")?.textContent?.trim(),
    totalTime: document.querySelector("[itemprop='totalTime'], [class*='time'] [class*='value']")?.textContent?.trim(),
    ingredients: [],
  };
  document.querySelectorAll("[itemprop='recipeIngredient'], li[class*='ingredient']").forEach(el => {
    recipe.ingredients.push(el.textContent?.trim());
  });
  return JSON.stringify(recipe);
})()`);

console.log(JSON.parse(data));
await spider.close();
ready to run · spider-browser · TypeScript
Fetch API

One endpoint for seriouseats.com.

Structured JSON from seriouseats.com with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/seriouseats.com/
Recipe nameAuthorRatingPrep timeCook timeIngredients
cURL
curl -X POST https://api.spider.cloud/fetch/seriouseats.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/seriouseats.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/seriouseats.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

Fields you can pull.

Recipe nameAuthorRatingPrep timeCook timeIngredientsTechnique notesServings
Listings

Menu & restaurant data

Extract menus, prices, ratings, and delivery info from seriouseats.com.

Geo

Location targeting

Access location-specific menus and availability with geo-targeted proxies.

Rendering

Dynamic content

Handle lazy-loaded menus, infinite scroll, and interactive search results.

Related

More Food scrapers.

Start

Start scraping seriouseats.com.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.