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AI Studio  add-on for Spider.
Health
fitbit.com Verified

Fitbit Scraper

Extract fitness tracker specifications, health feature comparisons, product pricing, and wellness program details from Fitbit. Built on spider-browser .

Get started Docs
target
fitbit.com
success rate
99.9%
latency
~4ms
POST /fetch/fitbit.com/
return_format
curl -X POST https://api.spider.cloud/fetch/fitbit.com/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'
200 OK · cache hit · response shape
{
  "url": "https://fitbit.com/",
  "status": 200,
  "data": {
    "product_name": "string",
    "price": "string",
    "features": "string",
    "battery_life": "string",
    "sensors": "string",
    "compatibility": "string"
  }
}
Quick start

Extract data in minutes.

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

fitbit-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.fitbit.com/global/us/products/trackers");
await page.content();

const data = await page.evaluate(`(() => {
  const products = [];
  document.querySelectorAll(".product-card, [class*='ProductCard']").forEach(el => {
    const name = el.querySelector("h2, h3, .product-name")?.textContent?.trim();
    const price = el.querySelector(".price, [class*='price']")?.textContent?.trim();
    const description = el.querySelector("p, .product-description")?.textContent?.trim();
    const link = el.querySelector("a")?.href;
    if (name) products.push({ name, price, description, link });
  });
  return JSON.stringify({ total: products.length, products: products.slice(0, 10) });
})()`);

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

Fields you can pull.

Product namePriceFeaturesBattery lifeSensorsCompatibility
Content

Medical data extraction

Extract drug info, conditions, and health articles from fitbit.com.

Parsing

Structured health data

Clean extraction of dosage, interactions, and clinical information.

Scale

Bulk research

Process thousands of medical pages for research and comparison datasets.

Related

More Health scrapers.

Start

Start scraping fitbit.com.

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