# 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
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bgfc97/clinicaltrials-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

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