NLM Clinical Terms Scraper - Condition Search
Pricing
from $1.60 / 1,000 results
Search NLM clinical condition terminology and export matching normalized condition names for data entry and lookup workflows.
You can access the NLM Clinical Terms Scraper - Condition Search 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "query": "diabetes",10 "maxResults": 3,11}12
13# Run the Actor and wait for it to finish14run = client.actor("benthepythondev/nlm-clinical-terms-scraper").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use NLM Clinical Terms Scraper - Condition Search API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: