# TX Venues That Just Got Liquor Licenses - New Bars (`data_place/tx-new-liquor-licenses`) Actor

329 rows, built to answer one question: Which TX venues just got liquor licenses - new bars and restaurants opening? Reach a brand-new bar or restaurant inside its first 30 days, while it is still choosing every supplier, POS and insurer it will keep for years.

- **URL**: https://apify.com/data\_place/tx-new-liquor-licenses.md
- **Developed by:** [dataplace](https://apify.com/data_place) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## TX Venues That Just Got Liquor Licenses - New Bars and Restaurants Opening

329 rows, built to answer one question: Which TX venues just got liquor licenses - new bars and restaurants opening? Reach a brand-new bar or restaurant inside its first 30 days, while it is still choosing every supplier, POS and insurer it will keep for years.

Filter via the Actor input; data refreshed with each new build (check the build date above).

- address
- aims license type
- aims trade name
- aims verified
- city
- county
- days since issue
- expiration date
- has pending application
- issue date
- license ID
- license status
- license type code
- multi unit operator
- name
- opening window
- operator locations in window
- owner
- pending application count
- state
- tier
- wine percent
- ZIP code

### What one result contains

One result = one record (one JSON object pushed to your dataset).
Every record carries these 25 fields: entity\_id, address, aims\_license\_type, aims\_trade\_name, aims\_verified, city, county, days\_since\_issue, expiration\_date, has\_pending\_application, issue\_date, kind, license\_id, license\_status, license\_type\_code, multi\_unit\_operator, name, opening\_window, operator\_locations\_in\_window, owner, pending\_application\_count, state, tier, wine\_percent, zip.

Example shape:

```json
{
  "entity_id": "...",
  "address": "...",
  "aims_license_type": "...",
  "aims_trade_name": "...",
  "aims_verified": "...",
  "city": "..."
}
```

You are charged once per record returned — no records, no charge.

# Actor input Schema

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

Only records in this state (exact match, case-insensitive)

## `county` (type: `string`):

Only records in this county (exact match, case-insensitive)

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

Only records in this city (exact match, case-insensitive)

## `zip` (type: `string`):

Only records at this ZIP / postal code

## `max_days_since_issue` (type: `integer`):

Only records where days since issue is at or below this number (freshest first)

## `min_operator_locations_in_window` (type: `integer`):

Only records with operator locations in window at or above this number

## `search` (type: `string`):

Only records whose name contains this text

## `limit` (type: `integer`):

Cap the number of records returned

## Actor input object example

```json
{}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("data_place/tx-new-liquor-licenses").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("data_place/tx-new-liquor-licenses").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call data_place/tx-new-liquor-licenses --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=data_place/tx-new-liquor-licenses",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PJgfflydROpxaf9XZ/builds/GwA4u8VZsR92Z6jOE/openapi.json