# ClinicalTrials.gov Scraper (`bgfc97/clinicaltrials-scraper`) Actor

Scrape clinical trials from ClinicalTrials.gov — NCT ID, title, status, phase, conditions, interventions, sponsor, enrollment, eligibility, locations, dates and summary — by keyword, condition, intervention or sponsor. Official API v2, no key, no proxy.

- **URL**: https://apify.com/bgfc97/clinicaltrials-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** Business, AI, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 study scrapeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## ClinicalTrials.gov Scraper 🧬

Scrape clinical trials from **ClinicalTrials.gov** — the world's largest registry of clinical studies. Search by keyword, condition, intervention/drug, or sponsor, and get structured trial data ready for analysis.

Perfect for **pharma & biotech market research, competitive intelligence, CRO / site feasibility, investors, medical literature reviews, and RAG / AI datasets.**

### What it extracts (one row per study)

- `nct_id`, `title`, `official_title`, `organization`
- `status`, `study_type`, `phases`, `enrollment`
- `conditions`, `keywords`, `interventions` (type + name)
- `lead_sponsor`, `lead_sponsor_class`, `collaborators`
- `start_date`, `primary_completion_date`, `completion_date`, `last_update_posted`
- `eligibility_sex`, `minimum_age`, `maximum_age`, `healthy_volunteers`, `eligibility_criteria`
- `brief_summary`, `location_count`, `locations` (facility/city/state/country)
- `url`

### Input

```json
{
  "terms": ["semaglutide obesity"],
  "conditions": ["Type 2 Diabetes"],
  "interventions": ["pembrolizumab"],
  "sponsor": "Pfizer",
  "statusFilter": ["RECRUITING", "COMPLETED"],
  "maxItemsPerQuery": 500
}
```

- **terms** — full-text queries (search the whole study).
- **conditions** — disease/condition searches (one search each).
- **interventions** — drug/intervention searches (one search each).
- **sponsor** — optional lead-sponsor filter applied to every search.
- **statusFilter** — optional overall-status filter (RECRUITING, COMPLETED, …).

### Output example

```json
{
  "type": "study",
  "nct_id": "NCT03548935",
  "title": "Semaglutide Effects in Obesity",
  "status": "COMPLETED",
  "phases": ["PHASE3"],
  "enrollment": 1961,
  "conditions": ["Obesity", "Overweight"],
  "interventions": [{ "type": "DRUG", "name": "Semaglutide" }],
  "lead_sponsor": "Novo Nordisk A/S",
  "start_date": "2018-06-04",
  "completion_date": "2020-03-31",
  "location_count": 129,
  "url": "https://clinicaltrials.gov/study/NCT03548935"
}
```

### Notes

- Uses the **official ClinicalTrials.gov API v2** — free, stable, no key.
- Pagination handled automatically via page tokens.
- No proxy required.

# Actor input Schema

## `terms` (type: `array`):

Free-text queries (full-text search across the whole study). Example: 'GLP-1 obesity' or 'CAR-T lymphoma'.

## `conditions` (type: `array`):

Disease / condition searches, one search each. Example: 'Type 2 Diabetes', 'Breast Cancer'.

## `interventions` (type: `array`):

Intervention / drug searches, one search each. Example: 'pembrolizumab', 'metformin'.

## `sponsor` (type: `string`):

Optional lead sponsor / organization name applied to every search. Example: 'Pfizer'.

## `statusFilter` (type: `array`):

Optional overall-status filter applied to every search. Leave empty for all statuses.

## `maxItemsPerQuery` (type: `integer`):

Stop after this many studies per search.

## `proxyConfiguration` (type: `object`):

Optional. ClinicalTrials.gov is an open API; proxy usually not needed.

## Actor input object example

```json
{
  "terms": [
    "semaglutide obesity"
  ],
  "conditions": [],
  "interventions": [],
  "sponsor": "",
  "statusFilter": [],
  "maxItemsPerQuery": 200,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "terms": [
        "semaglutide obesity"
    ],
    "conditions": [],
    "interventions": [],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/clinicaltrials-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "terms": ["semaglutide obesity"],
    "conditions": [],
    "interventions": [],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/clinicaltrials-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "terms": [
    "semaglutide obesity"
  ],
  "conditions": [],
  "interventions": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call bgfc97/clinicaltrials-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/clinicaltrials-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/gJQFVbDRZt0FgdoiY/builds/9hTGt93uSxodsbm74/openapi.json