Tesla Scraper

Extract Tesla vehicle configurations, pricing, range estimates, inventory listings, and Supercharger station data from Tesla. Built on spider-browser .

Get started Docs

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

Quick start

Extract data in minutes.

tesla-scraper.ts

import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://www.tesla.com/model3");
await page.content(12000);

const data = await page.evaluate(`(() => {
  const models = [];
  document.querySelectorAll("[class*='group--container'], [class*='variant']").forEach(el => {
    const name = el.querySelector("h2, [class*='title']")?.textContent?.trim();
    const price = el.querySelector("[class*='price'], [class*='finance']")?.textContent?.trim();
    const range = el.querySelector("[class*='range']")?.textContent?.trim();
    const speed = el.querySelector("[class*='top-speed']")?.textContent?.trim();
    const accel = el.querySelector("[class*='acceleration']")?.textContent?.trim();
    if (name) models.push({ name, price, range, speed, accel });
  });
  return JSON.stringify({ total: models.length, models: models.slice(0, 10) });
})()`);

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

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for tesla.com.

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

POST /fetch/tesla.com/

Model nameBase priceRange estimateTop speedAccelerationConfiguration

Try it Fetch docs

cURL

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

Fields you can pull.

Model nameBase priceRange estimateTop speedAccelerationConfigurationDelivery estimateIncentives

Listings

Vehicle inventory

Extract make, model, year, price, and mileage from tesla.com listings.

Rendering

Dynamic search

Handle interactive search filters, map views, and lazy-loaded inventory pages.

Scale

Market coverage

Process thousands of vehicle listings across dealers and private sellers.

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Start

Start scraping tesla.com.

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

Get started free All scrapers