Health

Mayo Clinic Scraper

Extract disease descriptions, symptom lists, treatment options, and clinical research summaries from Mayo Clinic. Powered by spider-browser .

Get Started Documentation

mayoclinic.org target

99.5% success rate

~4ms latency

Quick Start

Extract data in minutes

mayo-clinic-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.mayoclinic.org/diseases-conditions/diabetes/symptoms-causes/syc-20371444");

const data = await page.extractFields({
  condition: "h1.heading",
  overview: ".content p:first-of-type",
  symptoms: "#symptoms-heading + .content",
  causes: "#causes-heading + .content",
  riskFactors: "#risk-factors-heading + .content",
  treatment: "#treatment-heading + .content",
});

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

✓ ready to run | spider-browser | TypeScript

Fetch API

Structured data endpoint

Extract structured JSON from mayoclinic.org with a single POST request. AI-configured selectors, cached for fast repeat calls.

POST /fetch/mayoclinic.org/

Condition nameSymptomsCausesRisk factorsDiagnosisTreatment

Try it Fetch API Docs

curl

curl -X POST https://api.spider.cloud/fetch/mayoclinic.org/ \
  -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/mayoclinic.org/",
    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/mayoclinic.org/", {
  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