# USA Liquor & Alcohol License Scraper: Owners & Addresses (`scrapers_lat/usa-liquor-licenses-scraper`) Actor
Scrape US liquor and alcohol beverage retail licenses: licensee and business name, trade name (DBA), license number and type, status, full business and mailing address, county, and issue and expiration dates. Filter by keyword, city, license type or status. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/usa-liquor-licenses-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 1,000 results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## USA Liquor & Alcohol License Scraper: Owners & Addresses
> Pull US liquor and alcohol beverage retail licenses with the licensee and business name, trade name (DBA), license number and type, status, full business and mailing address, county and issue and expiration dates. Filter by keyword, city, license type or status and export clean structured leads.
**๐ฅ [Input](https://apify.com/scrapers_lat/usa-liquor-licenses-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/usa-liquor-licenses-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/usa-liquor-licenses-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/usa-liquor-licenses-scraper/examples)**
Owner & DBA business names
Full address plus county & dates
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Lead generation | Distributors, POS, insurance and services selling to bars, stores and restaurants |
| Market research | Analysts mapping on and off premise alcohol retail by city and county |
| Compliance & KYB | Teams verifying that a business holds an active alcohol license |
| Territory planning | Sales teams sizing and routing by county, city and license type |
### How to use it
1. Add one or more **search keywords** (business, DBA or owner names), or leave it empty to scan every license.
2. Optionally narrow by **cities**, **license types** or **status**.
3. Set **Max Licenses To Scrape** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What counts as a lead?**
Every record has a business or owner name plus a street address, so each row is a usable sales lead. You can enrich further with the mailing address and license dates.
**Can I search several businesses at once?**
Yes. Add multiple keywords and one run searches them all, tagging each record with the keyword that matched.
**Can I get only active licenses?**
Yes. Set status to Active (or Expired, Surrendered and so on) to keep only matching licenses.
**How fresh is the data?**
Records are read live at run time, so each row reflects the register at the moment of the run (see observedAt).
### Related scrapers
- [Google Maps Business Leads & Contacts Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
- [Texas TDLR License & Contractor Records Scraper](https://apify.com/scrapers_lat/texas-tdlr-scraper)
- [Florida DBPR Professional License Scraper](https://apify.com/scrapers_lat/florida-dbpr-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with any government agency or licensing authority. It only accesses publicly available license records. Use the results in accordance with the source's terms.
# Actor input Schema
## `searchQueries` (type: `array`):
Business, trade (DBA) or owner names to search for. One run does every search. Leave empty to scan all licenses. Example: ["Kroger", "Walmart"].
## `cities` (type: `array`):
Optional. Keep only licenses in these cities (exact city name). Example: ["Austin", "Houston"].
## `licenseTypes` (type: `array`):
Optional. Keep only these license type codes (for example "MB", "BG", "BQ", "Q", "P"). Leave empty for all types.
## `status` (type: `string`):
Optional. Keep only licenses whose status contains this text (for example "Active", "Expired", "Surrendered").
## `maxLicenses` (type: `integer`):
Maximum number of licenses to collect across the whole run. Optional.
## Actor input object example
```json
{
"searchQueries": [
"Kroger"
],
"maxLicenses": 50
}
````
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQueries": [
"Kroger"
],
"maxLicenses": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/usa-liquor-licenses-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQueries": ["Kroger"],
"maxLicenses": 50,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/usa-liquor-licenses-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"Kroger"
],
"maxLicenses": 50
}' |
apify call scrapers_lat/usa-liquor-licenses-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/usa-liquor-licenses-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "USA Liquor & Alcohol License Scraper: Owners & Addresses",
"description": "Scrape US liquor and alcohol beverage retail licenses: licensee and business name, trade name (DBA), license number and type, status, full business and mailing address, county, and issue and expiration dates. Filter by keyword, city, license type or status. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "2LYfMb9rLO70lprb7"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~usa-liquor-licenses-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-usa-liquor-licenses-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~usa-liquor-licenses-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-usa-liquor-licenses-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~usa-liquor-licenses-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-usa-liquor-licenses-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQueries": {
"title": "Search Keywords (business or owner name)",
"type": "array",
"description": "Business, trade (DBA) or owner names to search for. One run does every search. Leave empty to scan all licenses. Example: [\"Kroger\", \"Walmart\"].",
"items": {
"type": "string"
}
},
"cities": {
"title": "Cities",
"type": "array",
"description": "Optional. Keep only licenses in these cities (exact city name). Example: [\"Austin\", \"Houston\"].",
"items": {
"type": "string"
}
},
"licenseTypes": {
"title": "License Types",
"type": "array",
"description": "Optional. Keep only these license type codes (for example \"MB\", \"BG\", \"BQ\", \"Q\", \"P\"). Leave empty for all types.",
"items": {
"type": "string"
}
},
"status": {
"title": "License Status",
"type": "string",
"description": "Optional. Keep only licenses whose status contains this text (for example \"Active\", \"Expired\", \"Surrendered\")."
},
"maxLicenses": {
"title": "Max Licenses To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of licenses to collect across the whole run. Optional."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```