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AI Studio  add-on for Spider.
Health
clinicaltrials.gov Verified

ClinicalTrials.gov Scraper

Extract clinical study listings, eligibility criteria, trial status updates, and sponsor details from ClinicalTrials.gov. Built on spider-browser .

Get started Docs
target
clinicaltrials.gov
success rate
99.9%
latency
~4ms
POST /fetch/clinicaltrials.gov/
return_format
curl -X POST https://api.spider.cloud/fetch/clinicaltrials.gov/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'
200 OK · cache hit · response shape
{
  "url": "https://clinicaltrials.gov/",
  "status": 200,
  "data": {
    "study_title": "string",
    "nct_number": "string",
    "status": "string",
    "sponsor": "string",
    "phase": "string",
    "eligibility": "string",
    "conditions": "string",
    "enrollment": "string"
  }
}
Quick start

Extract data in minutes.

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

clinicaltrials-gov-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://clinicaltrials.gov/search?cond=cancer&aggFilters=status:rec");
await page.content();

const data = await page.evaluate(`(() => {
  const trials = [];
  document.querySelectorAll("[data-testid='search-result'], .ct-list-item").forEach(el => {
    const title = el.querySelector("h3, .ct-list-title a")?.textContent?.trim();
    const status = el.querySelector("[class*='status'], .ct-status")?.textContent?.trim();
    const conditions = el.querySelector("[class*='condition']")?.textContent?.trim();
    const nctId = el.querySelector("[class*='nctId'], .ct-nct-id")?.textContent?.trim();
    if (title) trials.push({ title, status, conditions, nctId });
  });
  return JSON.stringify({ total: trials.length, trials: trials.slice(0, 10) });
})()`);

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

Fields you can pull.

Study titleNCT numberStatusSponsorPhaseEligibilityConditionsEnrollment
Content

Medical data extraction

Extract drug info, conditions, and health articles from clinicaltrials.gov.

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 clinicaltrials.gov.

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