# FDA Clinical Investigator Disqualification Search (`quartz_apple_dnx/fda-clinical-investigator-disqualification-search`) Actor

Search FDA-published clinical investigator disqualification proceedings by name, center, location, status, or date and return structured official records and document links.

- **URL**: https://apify.com/quartz_apple_dnx/fda-clinical-investigator-disqualification-search.md
- **Developed by:** [Piven Core](https://apify.com/quartz_apple_dnx) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.25 / 1,000 fda investigator proceeding rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## FDA Clinical Investigator Disqualification Search

Search FDA's official **Clinical Investigator Disqualification Proceedings** database and export structured proceeding records.

Use it for **regulatory research, clinical-trial compliance research, investigator-history research, FDA proceeding lookup, and structured FDA-data workflows**.

**Independent tool. Not affiliated with or endorsed by the U.S. Food and Drug Administration (FDA).**

### Common use cases

- Look up an investigator by name
- Filter proceedings by FDA center, state, city, or published status
- Find Disqualified, Reinstated, Restricted, Restrictions Removed, and related FDA statuses
- Filter by status-date range
- Collect FDA proceeding dates and official-document links for downstream review

### What you get

Each billable row represents one FDA-published investigator proceeding record and can include:

- investigator name
- FDA center
- city and state
- FDA-published proceeding status
- normalized status category for filtering
- status date
- NIDPOE date and letter link
- NOOH date and letter link
- presiding-officer report date/link
- Commissioner's decision date/link
- exact search filters
- source URL and capture timestamp

### Try it

```json
{
  "nameQuery": "Anderson, Roger D.",
  "maxRows": 25
}
```

The current FDA export resolves that fixture to **Anderson, Roger D., MD — CDER — Disqualified — 2005-01-10**.

### Pricing

Only successfully saved proceeding rows are billed. Legitimate zero-result and budget-limit summary rows are free. Source/download failures remain failures.

Private candidate target: **$0.25 per 1,000 rows**, subject to the mandatory live economics benchmark and final Store-price recheck.

Public release is a separate decision.

### Source

Official searchable FDA database:

`https://www.accessdata.fda.gov/scripts/sda/sdNavigation.cfm?sd=clinicalinvestigatorsdisqualificationproceedings`

Official FDA export used by the Actor:

`https://www.accessdata.fda.gov/scripts/sda/sdExportData.cfm?exportType=msexcel&sd=clinicalinvestigatorsdisqualificationproceedings`

The source gate verified 232 current database rows and no requirement for customer credentials, browser automation, proxies, or anti-bot workarounds.

### Important limitations

This Actor reports FDA-published administrative proceeding information.

It does **not**:

- confirm that an input name belongs to a particular real-world person;
- determine professional fitness, competence, licensing status, criminal history, or employment suitability;
- make hiring, credentialing, insurance, credit, housing, immigration, or other high-impact eligibility decisions;
- treat absence from a result as clearance;
- provide medical or legal advice.

Names may be shared by multiple people. Verify identity and the official FDA source before acting on a record.

The normalized `statusCategory` is only a deterministic convenience label. FDA's original published `status` is preserved.

### About Piven Core

Built and maintained by **Piven Core** — focused data APIs and automation utilities for reliable, production-ready workflows.

Learn more: https://pivencore.com

# Actor input Schema

## `nameQuery` (type: `string`):

Optional case-insensitive contains search. Store prefill uses Anderson, Roger D.

## `center` (type: `string`):

Optional exact FDA center filter such as CDER, CBER, CDRH, or CVM.

## `city` (type: `string`):

Optional city contains search.

## `state` (type: `string`):

Optional exact 2-letter state filter.

## `status` (type: `string`):

Optional status contains search such as Disqualified, Reinstated, Restricted, or Restrictions Removed.

## `statusDateFrom` (type: `string`):

Optional earliest status date in YYYY-MM-DD format.

## `statusDateTo` (type: `string`):

Optional latest status date in YYYY-MM-DD format.

## `maxRows` (type: `integer`):

Hard cap on saved billable proceeding rows.

## Actor input object example

```json
{
  "nameQuery": "Anderson, Roger D.",
  "maxRows": 25
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {
    "nameQuery": "Anderson, Roger D.",
    "maxRows": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("quartz_apple_dnx/fda-clinical-investigator-disqualification-search").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 = {
    "nameQuery": "Anderson, Roger D.",
    "maxRows": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("quartz_apple_dnx/fda-clinical-investigator-disqualification-search").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 '{
  "nameQuery": "Anderson, Roger D.",
  "maxRows": 25
}' |
apify call quartz_apple_dnx/fda-clinical-investigator-disqualification-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,quartz_apple_dnx/fda-clinical-investigator-disqualification-search"
        }
    }
}
```

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/YKB8TJ9FUxlF6AFCC/builds/uY3qs4uFdAM5Dgnsb/openapi.json