# ClinicalTrials.gov Scraper β Trials Data, No API Key (`logiover/clinicaltrials-gov-scraper`) Actor
ClinicalTrials.gov data export tool. Scrape clinical trials without an API key and export trial datasets to CSV, JSON & Excel.
- **URL**: https://apify.com/logiover/clinicaltrials-gov-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Automation, Developer tools, AI
- **Features:** Limited permissions
- **Stats:** 27 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 1,000 review extracteds
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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 β Clinical Trials Data Export (Official Registry, No API Key)
[](https://apify.com/logiover/clinicaltrials-gov-scraper)
[](https://clinicaltrials.gov)
[](https://apify.com/logiover/clinicaltrials-gov-scraper)
[](https://apify.com/logiover/clinicaltrials-gov-scraper)
[](https://apify.com/logiover/clinicaltrials-gov-scraper)
[](https://apify.com/logiover/clinicaltrials-gov-scraper)
This **ClinicalTrials.gov scraper** pulls **structured clinical trials data** straight from the **official ClinicalTrials.gov data registry** β the world's largest database of clinical studies. It extracts **trial status, phase, sponsor, conditions, interventions, eligibility criteria and site locations** across **585,000+ studies worldwide**, with **no API key, no login and no rate-limit headaches**. Filter by condition, sponsor, keyword and status, then **export tens of thousands of trials to CSV, JSON or Excel** in a single run β clean, structured and analysis-ready.
> ### π Why this ClinicalTrials.gov Scraper?
>
> **Authoritative source** (official ClinicalTrials.gov registry) Β· **No API key & no login** Β· **585,000+ studies** searchable Β· **28+ fields per trial** including sites & eligibility Β· **Pay per result** Β· **Export to CSV / JSON / Excel / XML**
***
### β¨ What this Actor does / Key features
- π¬ **Extracts full trial records** β 28+ structured fields per study: NCT ID, titles, status, phase, sponsor, conditions, interventions, enrollment, eligibility and locations.
- π₯ **Filter the whole registry** β search by condition/disease, free-text term, lead sponsor and one or more trial statuses.
- π **Global coverage** β 585,000+ studies from sponsors, hospitals and research centers worldwide.
- π **Site-level detail** β every trial site (facility, city, state, country) so you can map recruiting locations.
- 𧬠**Eligibility built in** β sex, age range and healthy-volunteer flags for patient-matching and recruitment.
- π **No API key, no login** β just set filters and run; nothing to register with ClinicalTrials.gov.
- π€ **Export anywhere** β download as JSON, CSV, Excel (XLSX), XML or JSONLines, or pipe to Google Sheets, a database or a webhook.
- β‘ **Bulk-ready** β one run can return tens of thousands of trials; set a cap or capture everything that matches.
### π Quick start (3 steps)
1. Click **Try for free** / **Start** on the Actor page (or call it via the Apify API).
2. Set your filters β `condition` (disease), `searchTerm` (free text), `sponsor`, and `overallStatus`. Set `maxStudies` to cap the run, or `0` for everything that matches.
3. Run the Actor and **download the results** as CSV, JSON or Excel β or connect Google Sheets, a database or a webhook.
### π₯ Input
No input is required β run with the defaults to sample the registry, or set filters to target exactly the trials you need.
#### Example β Recruiting breast-cancer trials
```json
{
"condition": "breast cancer",
"searchTerm": "",
"sponsor": "",
"overallStatus": ["RECRUITING"],
"maxStudies": 10000
}
```
#### Example β A pharma sponsor's full pipeline
```json
{
"condition": "",
"searchTerm": "",
"sponsor": "Pfizer",
"overallStatus": [],
"maxStudies": 5000
}
```
#### Example β Completed Phase 3 immunotherapy studies
```json
{
"condition": "",
"searchTerm": "immunotherapy",
"sponsor": "",
"overallStatus": ["COMPLETED"],
"maxStudies": 2000
}
```
| Field | Type | Description |
|---|---|---|
| `condition` | string | Filter by condition or disease, e.g. `diabetes`, `breast cancer`, `alzheimer`. Leave empty for all. |
| `searchTerm` | string | Free-text search across the whole study record (intervention, sponsor, keyword). Leave empty for all. |
| `sponsor` | string | Filter by lead-sponsor name, e.g. `Pfizer`, `ModernaTX, Inc.`, `National Cancer Institute`. Collaborator-only matches are excluded. Leave empty for all. |
| `overallStatus` | array | Filter by trial status, e.g. `RECRUITING`, `COMPLETED`, `ACTIVE_NOT_RECRUITING`. Leave empty for all. |
| `maxStudies` | integer | Maximum studies to save. `0` = all matching (up to ~585,000 across the whole database). |
> π‘ **Tip:** Combine `condition` + `overallStatus: ["RECRUITING"]` to build a live patient-recruitment list, or set only `sponsor` to pull a competitor's entire trial portfolio across every phase and status.
#### Additional input fields
These optional fields are also available in the input form and API:
| Field | Type | Default | Description |
|---|---|---|---|
| `sort` | string | `"LastUpdatePostDate:desc"` | How results are ordered. 'Most recently updated' and 'Newest first' are ideal for browsing with no keyword. 'Best match' only makes sense together with a condition or search term. |
### π€ Output
Each dataset item is one clinical trial study. Here is a realistic (trimmed) sample:
```json
{
"nctId": "NCT05012345",
"briefTitle": "A Study of Drug X in Patients With HER2-Positive Breast Cancer",
"overallStatus": "RECRUITING",
"phases": ["PHASE3"],
"leadSponsor": "Example Pharmaceuticals Inc.",
"conditions": ["Breast Cancer", "HER2-Positive Breast Carcinoma"],
"enrollmentCount": "540",
"startDate": "2024-03-15"
}
```
π Full field reference (click to expand)
| Field | Description |
|---|---|
| `nctId` | ClinicalTrials.gov registration number (NCT ID). |
| `briefTitle` | Short study title. |
| `officialTitle` | Full official study title. |
| `acronym` | Study acronym, if any. |
| `organization` | Organization that submitted the record. |
| `overallStatus` | Current trial status (e.g. `RECRUITING`, `COMPLETED`). |
| `studyType` | Study type (interventional, observational). |
| `phases` | Array of trial phases. |
| `enrollmentCount` | Number of participants enrolled or planned. |
| `leadSponsor` | Lead sponsor of the trial. |
| `sponsorClass` | Sponsor classification (industry, NIH, other). |
| `collaborators` | Array of collaborating organizations. |
| `conditions` | Array of conditions / diseases studied. |
| `interventions` | Array of interventions tested. |
| `briefSummary` | Short summary of the study. |
| `sex` | Eligible sex. |
| `minimumAge` | Minimum age eligibility. |
| `maximumAge` | Maximum age eligibility. |
| `healthyVolunteers` | Whether healthy volunteers are accepted. |
| `startDate` | Trial start date. |
| `completionDate` | Overall completion date. |
| `primaryCompletionDate` | Primary completion date. |
| `firstPostedDate` | When the study was first posted. |
| `lastUpdatePostedDate` | When the study was last updated. |
| `locations` | Array of trial site locations (facility, city, state, country). |
| `hasResults` | Whether study results have been posted. |
| `url` | Direct link to the study on ClinicalTrials.gov. |
| `scrapedAt` | Timestamp of when the record was scraped. |
Export every field to JSON, CSV, Excel (XLSX), XML or JSONLines via the Apify dataset and API.