# Scrape FDA Drug Approvals by Sponsor (Pfizer)

**Use case:** 

Pull FDA NDA, ANDA, and BLA approval records for any pharma sponsor by ticker or name, with submission timelines and marketing status.

## Input

```json
{
  "mode": "drug_approvals",
  "sponsorIdentifiers": [
    "PFE"
  ],
  "nctIds": [],
  "conditions": [],
  "interventions": [],
  "phases": [],
  "statuses": [],
  "countries": [],
  "applicantName": "Medtronic",
  "productCode": "",
  "devicePathways": [
    "510k",
    "pma"
  ],
  "drugName": "Ozempic",
  "seriousOnly": false,
  "recallClassifications": [],
  "recallDomains": [
    "drug",
    "device"
  ],
  "shortageStatus": "any",
  "dateFrom": "2024-01-01",
  "dateTo": "",
  "maxItems": 50,
  "maxItemsPerSource": 1000,
  "incrementalMode": false,
  "monitorTargets": [],
  "enableAiSummary": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "applicationNumber": {
    "label": "Application",
    "format": "text"
  },
  "applicationType": {
    "label": "Type",
    "format": "text"
  },
  "sponsorName": {
    "label": "Sponsor",
    "format": "text"
  },
  "firstApprovalDate": {
    "label": "First approval",
    "format": "date"
  },
  "latestSubmissionStatus": {
    "label": "Latest status",
    "format": "text"
  },
  "latestSubmissionDate": {
    "label": "Latest date",
    "format": "date"
  },
  "marketingStatus": {
    "label": "Marketing",
    "format": "text"
  },
  "verifyUrl": {
    "label": "FDA",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Clinical Trials & FDA Pipeline Intelligence Scraper](https://apify.com/constructive_calm/clinical-trials-fda-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/constructive_calm/clinical-trials-fda-scraper) to learn more, explore other use cases, and run it yourself.