You can access the Clinical Trials and FDA Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "mode": "study-search",
10    "maxItems": 10,
11    "condition": "asthma",
12    "status": ["RECRUITING"],
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("jetlaunch/biomedical-regulatory-data").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
20for item in client.dataset(run.default_dataset_id).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Clinical Trials and FDA Data: Studies, Labels, Approvals API in Python

The Apify API client for Python is the official library that allows you to use Clinical Trials and FDA Data API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Clinical Trials and FDA Data API in JavaScript

Clinical Trials and FDA Data API through CLI

Clinical Trials and FDA Data OpenAPI definition

Clinical Trials and FDA Data API

OpenFDA Data (recalls, adverse events, labels)

bgfc97/openfda-data

Structured FDA data: drug/device/food recalls, adverse events (FAERS/MAUDE), drug labels, shortages, NDC. Official api.fda.gov, public domain, no key.

Bruno

FDA Data Scraper (openFDA)

trendlab/openfda-scraper

Scrape FDA data via the official openFDA API: drug, device, and food recalls, adverse events, and drug labels. One unified, AI-ready JSON output. No API key needed.

Cheoljae Lee

Clinical Trials Monitor

zinin/clinical-trials-monitor

Retrieve up to 100 ClinicalTrials.gov studies for up to 25 condition, drug, or sponsor queries. Delivered rows include NCT ID, status, phase, sponsor, dates, source link, confidence, gaps, and billing. No-match and failure rows are free; registry data is not medical advice or proof of efficacy.

Tim Zinin

ClinicalTrials.gov Trials Data - Sponsors, Phases & Sites

jpopendata/us-clinical-trials

Clinical trials from the official ClinicalTrials.gov API v2 as flat rows, one per trial or per site: NCT number, titles, status, phase, conditions, drugs, sponsor, enrollment, dates, countries, results. Pharma pipeline filters. No investigator names or contacts. Unofficial; not affiliated with NLM.

JP Open Data

SEC EDGAR Filings Scraper: 10-K, 10-Q, 8-K & Form D

lepidata/sec-edgar-filings

Search SEC EDGAR filings by ticker, CIK, form type and date (10-K, 10-Q, 8-K and more) with document links. Form D mode lists new private placements and startup funding rounds. Unofficial.

Lepi Data

FDA Medical Device Database

wakey7dev/fda-device-database

Search FDA medical device registrations — 510(k) clearances, PMA approvals, device classifications. Medtech intelligence, regulatory compliance, competitive analysis.

Chris Wakefield

Remote Job Postings Feed

jetlaunch/open-jobs-api-feed

Search and monitor remote job postings from the Jobicy public Jobs API in one clean schema.

Chris O'Byrne

US Federal Contracts (SAM.gov, USAspending)

jetlaunch/us-federal-contracts-monitor

Search US federal contract awards from USAspending.gov by NAICS, PSC, agency, set-aside, state, amount and awardee. No key needed. Business and agency names only.

Chris O'Byrne

Canada Job Bank Postings (Open Data)

jetlaunch/canada-job-bank-open-data

Filter and compare the Government of Canada's monthly Job Bank job postings open data by NOC, NAICS sector, province, city, wage and keyword. Uses the official open data files, no website scraping.

Chris O'Byrne