Pricing

Pay per usage

Clinical Trials Normalizer

Search clinicaltrials.gov and get cleaned, normalized trial data — drug names standardized, conditions unified, sponsors deduplicated.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Chris Wakefield

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Business

You can access the Clinical Trials Normalizer 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 Integrations settings 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
10# Run the Actor and wait for it to finish
11run = client.actor("wakey7dev/clinical-trials-normalizer").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Clinical Trials Normalizer API in Python

The Apify API client for Python is the official library that allows you to use Clinical Trials Normalizer 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 Normalizer API in JavaScript

Clinical Trials Normalizer API through CLI

Clinical Trials Normalizer OpenAPI definition

Clinical Trials Normalizer API

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