Tasty Scraper

Extract viral video recipes, step-by-step instructions, and nutritional breakdowns from Tasty. Built on spider-browser .

Get started Docs

target
tasty.co: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

tasty-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://tasty.co/recipe/the-best-ever-garlic-bread");

const data = await page.extractFields({
  title: "h1.recipe-name",
  servings: ".servings-display span",
  prepTime: ".recipe-time-container span",
  description: ".recipe-description",
  ingredients: ".ingredient-text",
  instructions: ".prep-steps li",
});

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

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for tasty.co.

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

POST /fetch/tasty.co/

Recipe nameServingsPrep timeIngredientsInstructionsNutrition

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/tasty.co/ \
  -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/tasty.co/",
    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/tasty.co/", {
  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