Structured data from any page.

from browsa import Client

client = Client(api_key="agt_live_…")

schema = {
    "type": "object",
    "properties": {
        "name":     {"type": "string"},
        "price":    {"type": "number"},
        "in_stock": {"type": "boolean"},
    },
}

res = client.extract(
    "https://shop.example.com/p/earbuds-x2",
    schema=schema,
    llm_api_key="sk-ant-…",   # your Anthropic key
)
print(res["data"])          # {"name": …, "price": …, …}
print(res["cost_credits"])   # 1

from browsa import Client

client = Client(api_key="agt_live_…")

# No model involved: the rendered page as text and links
page = client.scrape(
    "https://news.ycombinator.com",
    formats=["text", "links"],
)
print(page["http_status"], page["text"][:300])
print(len(page["links"]), "links")

import { Client } from "browsa";

const client = new Client({ apiKey: "agt_live_…" });

const url = "https://shop.example.com/p/earbuds-x2";
const res = await client.extract(url, {
  schema: {
    type: "object",
    properties: {
      name: { type: "string" },
      price: { type: "number" },
      in_stock: { type: "boolean" },
    },
  },
  llmApiKey: "sk-ant-…",
});
console.log(res.data);