Extract with a schema

import os
import time

import requests
from pydantic import BaseModel
from typing import Literal


class Plan(BaseModel):
    name: str
    price: float | None
    billing: Literal["monthly", "yearly"]


class Pricing(BaseModel):
    product: str
    plans: list[Plan]


headers = {"Authorization": f"Bearer {os.environ['STOPHY_API_KEY']}"}
started = requests.post(
    "https://api.stophy.dev/v1/extract",
    headers=headers,
    json={"urls": ["https://example.com/pricing"], "schema": Pricing.model_json_schema()},
).json()
result = requests.get(f"https://api.stophy.dev/v1/extract/{started['id']}", headers=headers).json()
print(Pricing.model_validate(result["data"]))

import { z } from "zod";

const Pricing = z.object({
  product: z.string(),
  plans: z.array(
    z.object({
      name: z.string(),
      price: z.number().nullable(),
      billing: z.enum(["monthly", "yearly"]),
    }),
  ),
});

const headers = {
  Authorization: `Bearer ${process.env.STOPHY_API_KEY}`,
  "content-type": "application/json",
};
const started = await fetch("https://api.stophy.dev/v1/extract", {
  method: "POST",
  headers,
  body: JSON.stringify({ urls: ["https://example.com/pricing"], schema: z.toJSONSchema(Pricing) }),
}).then((response) => response.json());
const result = await fetch(`https://api.stophy.dev/v1/extract/${started.id}`, { headers }).then(
  (response) => response.json(),
);
console.log(Pricing.parse(result.data));