# New York Retail Food Store Leads - Grocery, Deli & Bodega (`pink_comic/new-york-retail-food-store-leads`) Actor

Search 23.6k New York retail food stores licensed by the Department of Agriculture and Markets: entity name, DBA, license number, establishment types (store, bakery, food manufacturer, warehouse), full address, county and square footage.

- **URL**: https://apify.com/pink_comic/new-york-retail-food-store-leads.md
- **Developed by:** [Ava Torres](https://apify.com/pink_comic) (community)
- **Categories:** Lead generation, Business, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 retail food stores

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## New York Retail Food Store Leads - Grocery, Deli & Bodega

Search the **NYS Department of Agriculture and Markets Retail Food Stores** list on data.ny.gov (about 23,600 licensed grocery stores, delis, bodegas, convenience stores, supermarkets and markets, 258k page views).

Each result includes:

- DBA (store) name and legal **entity name**
- Ag & Markets license number
- **establishment type codes** (A store, B bakery, C food manufacturer, D food warehouse, H wholesale manufacturer, K vehicle)
- full street address, city, ZIP and county
- **square footage**

Newest license numbers first. No API key, no CAPTCHA. Pricing: **$0.002 per store + $0.0001 start**.

```json
{ "counties": ["KINGS"], "maxResults": 500 }
```

```json
{ "cities": ["BUFFALO"], "establishmentTypes": ["B"] }
```

### Use cases

Leads for food and beverage distributors, DSD brands, POS and payments, ATM placement, refrigeration, security, insurance and cleaning vendors; retail market research.

### Limits

No phone or email in the source. Restaurants are not in this list (see the restaurant inspection actor). Names are matched as substrings.

### Related

- [New York State Restaurant Inspection Leads](https://apify.com/pink_comic/new-york-state-restaurant-inspection-leads)
- [New York Liquor License Search](https://apify.com/pink_comic/new-york-liquor-license-search)

# Actor input Schema

## `query` (type: `string`):

Quick single DBA or entity name search (contains match). Leave blank for the most recently licensed stores.

## `names` (type: `array`):

DBA or legal entity names, contains match, case-insensitive.

## `counties` (type: `array`):

County, e.g. 'KINGS', 'QUEENS', 'BRONX', 'NEW YORK', 'ERIE', 'MONROE'.

## `cities` (type: `array`):

City, e.g. 'BROOKLYN', 'BRONX', 'BUFFALO', 'ROCHESTER'.

## `zipCodes` (type: `array`):

Exact 5-digit ZIP codes, e.g. '11356'.

## `establishmentTypes` (type: `array`):

Contains match on the code list: A store, B bakery, C food manufacturer, D food warehouse, H wholesale manufacturer, K vehicle.

## `licenseNumbers` (type: `array`):

Exact Ag & Markets license numbers for lookup.

## `maxResults` (type: `integer`):

Maximum total paid dataset items, split across search terms. The default returns 10 stores (about $0.0201 including the start event).

## Actor input object example

```json
{
  "query": "",
  "names": [],
  "counties": [],
  "cities": [],
  "zipCodes": [],
  "establishmentTypes": [],
  "licenseNumbers": [],
  "maxResults": 10
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset items.

# 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 = {
    "query": "",
    "names": [],
    "counties": [],
    "cities": [],
    "zipCodes": [],
    "establishmentTypes": [],
    "licenseNumbers": [],
    "maxResults": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("pink_comic/new-york-retail-food-store-leads").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 = {
    "query": "",
    "names": [],
    "counties": [],
    "cities": [],
    "zipCodes": [],
    "establishmentTypes": [],
    "licenseNumbers": [],
    "maxResults": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("pink_comic/new-york-retail-food-store-leads").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "query": "",
  "names": [],
  "counties": [],
  "cities": [],
  "zipCodes": [],
  "establishmentTypes": [],
  "licenseNumbers": [],
  "maxResults": 10
}' |
apify call pink_comic/new-york-retail-food-store-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pink_comic/new-york-retail-food-store-leads"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tRQpKiUWnLQ27ogx1/builds/zqH4ldskezLD4v7Fy/openapi.json