# New Restaurant Leads – Seattle & King County Food Openings (`leadsignal-data/king-county-new-food-establishments`) Actor

Newly opened restaurants, cafes, food trucks, caterers, bakeries and grocers in Seattle and King County, WA: establishments getting their very first health inspection. Name, type, seating, address. Official Public Health open data. Only new leads each run.

- **URL**: https://apify.com/leadsignal-data/king-county-new-food-establishments.md
- **Developed by:** [Alex](https://apify.com/leadsignal-data) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00 / 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.

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 Restaurant Leads: Seattle & King County Food Openings

**Restaurants, cafes, food trucks, caterers, bakeries and grocers that just opened in Seattle and King County. We spot them by their first-ever health inspection. About 2¢ a lead.**

**Public Health – Seattle & King County** inspects every permitted food business, and its inspection history goes back to 2021. This Actor returns only establishments whose **first inspection on record** falls in your date window, which means they are **newly permitted and newly opened**. Long-running businesses are excluded automatically. That works out to about **100–130 new openings a month**. Each lead includes the business name, establishment type, seating range, risk category, street address, city, ZIP, parcel number and first-inspection date.

👉 **Try it free:** new Apify accounts get **$5 of free platform credit every month**.

### Real sample leads (pulled October 2026)

| Business | City | Type | Seats | First inspected |
|---|---|---|---|---|
| Canton Wonton House | Seattle | General Food Services | 13-50 | 2026-10-09 |
| McDonald's #15338 | Seattle | General Food Services | 13-50 | 2026-10-09 |
| Kakurenbo Restaurant | Seattle | General Food Services | 13-50 | 2026-10-08 |
| EMME | Seattle | General Food Services | 13-50 | 2026-10-08 |
| Fortune Casino Shoreline | Shoreline | General Food Services | 151-250 | 2026-10-08 |

**ROI:** 1,000 new King County food businesses cost $20. One POS, supplier or insurance account pays for years of runs.

### Who uses it

POS & payments · food & beverage distributors · restaurant equipment, linen, grease and pest control · commercial insurance · delivery platforms, reservation and restaurant SaaS · local marketing, signage and staffing agencies.

### Filters

**Cities** (`Seattle`, `Bellevue`, `Redmond`, `Kent`) · **ZIPs** · **establishment types** (`General Food Services`, `Mobile Food Unit`, `Catering Operation`, `Grocery Store`, `Bakery`) · **name keywords** · **exclude school lunch programs** (on by default) · first-inspection date range.

### Set it up as a daily lead feed

Keep **Only new since last run** on, choose **Schedule → Daily**, and send leads to Google Sheets, HubSpot, Slack, Zapier or Make.

### Input

```json
{ "cities": ["Seattle", "Bellevue"], "classifications": ["General Food Services"], "dateFrom": "30 days", "onlyNew": true }
```

### Output fields

`businessId, businessName, classification, address, city, state, zip, seatingRange, riskCategory, firstInspectionDate, inspectionsSoFar, parcelNumber, source`

### Pricing

Pay per result: **$0.02 per lead** ($20 per 1,000). No subscription.

### FAQ

**Where does the data come from?** The "Food Establishment Inspection Data" dataset on data.kingcounty.gov, published by Public Health – Seattle & King County.
**How do you know a place is new?** The county has inspected every permitted food business regularly since 2021. If a business ID appears for the first time, it is a new permit, usually a new opening or a new owner.
**Phone numbers?** The county doesn't publish them. Enrich with your usual tool.

***

*Last updated: October 14, 2026 · Built by **LeadSignal**: public-record lead feeds for B2B sales. Not affiliated with Public Health – Seattle & King County.*

# Actor input Schema

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

e.g. Seattle, Bellevue, Redmond, Kent, Renton, Kirkland. Empty = all of King County.

## `zips` (type: `array`):

e.g. 98104, 98109.

## `classifications` (type: `array`):

General Food Services, Mobile Food Unit, Catering Operation, Grocery Store, Bakery, Meat/Fish Market, Limited Food Service.

## `nameKeywords` (type: `array`):

e.g. Pizza, Coffee, Teriyaki, Taco.

## `excludeSchools` (type: `boolean`):

Skip school cafeterias.

## `dateFrom` (type: `string`):

YYYY-MM-DD or relative like '30 days'.

## `dateTo` (type: `string`):

YYYY-MM-DD

## `onlyNew` (type: `boolean`):

Skip leads already returned by previous runs (ideal for scheduled daily feeds).

## `dedupeStoreName` (type: `string`):

Named key-value store used to remember seen leads. Use different names for different feeds.

## `maxItems` (type: `integer`):

Maximum leads to return in this run.

## Actor input object example

```json
{
  "cities": [
    "Seattle"
  ],
  "excludeSchools": true,
  "dateFrom": "30 days",
  "onlyNew": true,
  "dedupeStoreName": "king-county-new-food-establishments-seen",
  "maxItems": 1000
}
```

# Actor output Schema

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

All leads/records returned by this run.

# 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 = {
    "cities": [
        "Seattle"
    ],
    "dateFrom": "30 days"
};

// Run the Actor and wait for it to finish
const run = await client.actor("leadsignal-data/king-county-new-food-establishments").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 = {
    "cities": ["Seattle"],
    "dateFrom": "30 days",
}

# Run the Actor and wait for it to finish
run = client.actor("leadsignal-data/king-county-new-food-establishments").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 '{
  "cities": [
    "Seattle"
  ],
  "dateFrom": "30 days"
}' |
apify call leadsignal-data/king-county-new-food-establishments --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,leadsignal-data/king-county-new-food-establishments"
        }
    }
}
```

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/44f7ptVQ6KBXFgNyA/builds/RMQtEjXgj13oxYPfz/openapi.json