Google Store Footer Scraper

Extracts all meaningful, non-noise data from the page, including titles, text, prices, dates, authors, images, links, ratings, counts, metadata, labels, statuses, descriptions, and more. Built on spider-browser .

Get started Docs

target
nest.com: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

nest-com-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.nest.com");

const data = await page.extractFields({
  google_apps: "div.gb_L",
  legal_footnote: "section.tYHYm",
  main_content: "main",
  popup: "div#gsins_7092_5035",
});

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

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for nest.com.

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

POST /fetch/nest.com/

Google AppsLegal FootnoteMain ContentPopup

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/nest.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/nest.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/nest.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