# New Florida Liquor Licenses

**Use case:** 

New liquor licenses, listed once issued in Florida, read from Florida DBPR. Returns business name, trade name, city, county, license type, status and filing date. Free sample rows with no key, or full rows with a Liquor License Feed key.

## Input

```json
{
  "states": [
    "FL"
  ],
  "includeChains": true
}
```

## Output

```json
{
  "business": {
    "label": "Business"
  },
  "dba": {
    "label": "Dba"
  },
  "city": {
    "label": "City"
  },
  "state": {
    "label": "State"
  },
  "county": {
    "label": "County"
  },
  "license_type_label": {
    "label": "License type label"
  },
  "status": {
    "label": "Status"
  },
  "filed": {
    "label": "Filed"
  },
  "kind": {
    "label": "Kind"
  },
  "phone": {
    "label": "Phone"
  },
  "website": {
    "label": "Website"
  },
  "tier": {
    "label": "Tier"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The US Liquor License Filings (New and Pending, by State) Actor is ready to run with the inputs already set for "New Florida Liquor Licenses". [Sign up or log in](https://console.apify.com/create-task-from-example/BibLacLhEEii6ZChQ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "New Florida Liquor Licenses" task

The US Liquor License Filings (New and Pending, by State) Actor will start running based on the input automatically. You can also change all the input fields, like states and include chains, to match your specific use case.

### 3. Receive the "New Florida Liquor Licenses" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as business, dba, city, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "New Florida Liquor Licenses" task via API](https://apify.com/llfeed/us-liquor-license-filings.md).

## FAQ

### Where does the Florida liquor license data come from?

The Florida liquor license data in this task is read from Florida DBPR, a public record, not from a reseller or a news report.

### How often does the Florida liquor license record change?

The Florida liquor license record changes every weekday, on the source's own schedule.

### Does the Florida data show pending applications or issued licenses?

The Florida record read here shows licenses once they are issued, not applications while they are pending.

### What does the free Florida sample include?

The free Florida sample returns up to 25 rows from a week a few weeks back, without phones or owners. A Liquor License Feed key returns current rows.

### What does the Florida data leave out?

The Florida data leaves out one-day and temporary permits, and licenses nobody sells to, such as wholesalers, suppliers and shippers.

## About this Actor

This example demonstrates how to use [US Liquor License Filings (New and Pending, by State)](https://apify.com/llfeed/us-liquor-license-filings.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/llfeed/us-liquor-license-filings.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/llfeed/us-liquor-license-filings.md

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`).