ClinicalTrials.gov Scraper

ClinicalTrials.gov Scraper pulls structured data from ClinicalTrials.gov and returns it as a clean dataset you can export as JSON, CSV or Excel. It searches the free ClinicalTrials.gov v2 API by keyword and returns one row per registered study, with the NCT ID, brief title, recruitment status, phase, conditions, lead sponsor, enrollment count, first location country and facility, MeSH term and key dates. Useful for trial landscape research, patient recruitment lists and pharmacovigilance feeds.

No API key, no login. Click Start and it works with the prefilled input.

What does ClinicalTrials.gov Scraper do?

It queries ClinicalTrials.gov and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• ClinicalTrials.gov data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
query	string	"melanoma"	Condition, intervention, drug or sponsor keyword, e.g. melanoma, pembrolizumab, novartis.
maxResults	integer	20	Maximum number of clinical studies to return.

Example input:

{
  "query": "melanoma",
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "nct_id": "NCT05326334",
  "brief_title": "THERApeutic Outcomes Related to Gut microBIOME in Glioblastoma Patients",
  "overall_status": "RECRUITING",
  "start_date": "2023-03-02",
  "primary_completion_date": "2025-07",
  "last_update": "2023-04-18"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
nct_id	string	NCT ID
brief_title	string	Brief Title
overall_status	string	Overall Status
start_date	string	Start Date
primary_completion_date	string	Primary Completion
last_update	string	Last Update Posted
lead_sponsor	string	Lead Sponsor
phases	string	Phases
conditions	string	Conditions
enrollment_count	integer	Enrollment
country	string	Country
facility	string	Facility
mesh_term	string	MeSH Term

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from ClinicalTrials.gov. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Try a condition, drug or sponsor name such as melanoma, pembrolizumab or novartis.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.