One Medical Scraper

Extract primary care provider profiles, office locations, service offerings, and membership plan details from One Medical. Built on spider-browser .

Get started Docs

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

Quick start

Extract data in minutes.

one-medical-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.onemedical.com/locations/");

const data = await page.extractFields({
  title: "h1",
  locations: ".location-card h3",
  addresses: ".location-card .address",
  services: ".services-list li",
  hours: ".office-hours",
  phone: ".phone-number",
});

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

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for onemedical.com.

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

POST /fetch/onemedical.com/

Provider nameSpecialtyLocationServicesInsuranceAvailability

Try it Fetch docs

cURL

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