# NDA (New Drug Application) Drugs@FDA Approvals

**Use case:** 

Extract Drugs@FDA Approvals data filtered by NDA (New Drug Application). Export structured results ready for analysis, lead generation, or research.

## Input

```json
{
  "maxItems": 10,
  "applicationType": "NDA"
}
```

## Output

```json
{
  "applicationNumber": {
    "label": "App #",
    "format": "text"
  },
  "sponsorName": {
    "label": "Sponsor",
    "format": "text"
  },
  "applicationType": {
    "label": "Type",
    "format": "text"
  },
  "brandNames": {
    "label": "Brand Names",
    "format": "object"
  },
  "activeIngredients": {
    "label": "Ingredients",
    "format": "object"
  },
  "dosageForms": {
    "label": "Dosage Forms",
    "format": "object"
  },
  "routes": {
    "label": "Routes",
    "format": "object"
  },
  "marketingStatuses": {
    "label": "Status",
    "format": "object"
  },
  "teCodes": {
    "label": "TE Codes",
    "format": "object"
  },
  "productCount": {
    "label": "# Products",
    "format": "number"
  },
  "submissionCount": {
    "label": "# Submissions",
    "format": "number"
  },
  "latestSubmissionDate": {
    "label": "Latest",
    "format": "text"
  },
  "latestSubmissionType": {
    "label": "Latest Type",
    "format": "text"
  },
  "latestSubmissionStatus": {
    "label": "Latest Status",
    "format": "text"
  },
  "originalApprovalDate": {
    "label": "Original Approval",
    "format": "text"
  },
  "openfda": {
    "label": "openFDA Metadata",
    "format": "object"
  },
  "products": {
    "label": "Products",
    "format": "array"
  },
  "submissions": {
    "label": "Submissions",
    "format": "array"
  },
  "scrapedAt": {
    "label": "Collected",
    "format": "date"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Drugs@FDA Approvals Scraper](https://apify.com/parseforge/openfda-drugsfda-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/parseforge/openfda-drugsfda-scraper) to learn more, explore other use cases, and run it yourself.