# Ny Food Service Inspections Scraper (`kawsar/ny-food-service-inspections-scraper`) Actor

Extract New York restaurant inspection data from health.data.ny.gov into JSON, CSV, or Excel. Search by facility name or filter by city and county to monitor compliance, track violations, and build lead lists easily.

- **URL**: https://apify.com/kawsar/ny-food-service-inspections-scraper.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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/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

## NY Food Service Inspections Scraper

![NY Food Service Inspections Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/ny-food-service-inspections-scraper-cover.png)

Collect restaurant and food service establishment inspection records across New York State. Retrieve facility names, addresses, inspection dates, violation details, and health department information. Export structured results in JSON, CSV, Excel, or other supported Apify dataset formats.

### What It Does

This actor collects food service establishment inspection records from New York State. It supports full dataset collection, keyword searches, custom filters, and dataset metadata retrieval.

Use the results for restaurant research, public health analysis, inspection monitoring, and compliance-related workflows.

### Available Modes

- **All Rows:** Collect inspection records across the dataset.
- **Full-Text Search:** Find records matching a search term across searchable text fields.
- **SoQL Filter:** Apply custom conditions to narrow results, such as filtering by city or inspection date.
- **Dataset Metadata:** Retrieve available column names, data types, and descriptions.

### Input Example

**Collect all rows**

```json
{
  "mode": "all_rows",
  "maxItems": 50,
  "orderBy": ":id",
  "requestDelayMs": 500
}
```

**Search inspection records**

```json
{
  "mode": "search",
  "searchText": "inc",
  "maxItems": 25,
  "requestDelayMs": 500
}
```

**Filter inspection records**

```json
{
  "mode": "filter",
  "where": ":updated_at>'2020-01-01'",
  "maxItems": 25,
  "requestDelayMs": 500
}
```

### Output Example

```json
{
  "facility": "SOVRANA PIZZA & DELI",
  "address": "63 NORTH LAKE AVENUE,  ALBANY",
  "date": "2026-06-17T00:00:00.000",
  "violations": "No violations found.",
  "total_critical_violations": "0",
  "total_crit_not_corrected": "0",
  "total_noncritical_violations": "0",
  "facility_description": "Food Service Establishment - Restaurant",
  "local_health_department": "Albany County",
  "county": "ALBANY",
  "city": "ALBANY",
  "zip_code": "12206",
  "scraped_at": "2026-10-26T00:00:00+00:00"
}
```

### Output Fields

| Field | Description |
|---|---|
| `facility` | Food service establishment name |
| `address` | Facility street address |
| `date` | Inspection date |
| `violations` | Inspection violation summary |
| `total_critical_violations` | Number of critical violations |
| `total_crit_not_corrected` | Number of critical violations not corrected |
| `total_noncritical_violations` | Number of noncritical violations |
| `facility_description` | Establishment description |
| `local_health_department` | Responsible local health department |
| `county` | County where the facility is located |
| `city` | Facility city |
| `zip_code` | Facility ZIP code |
| `scraped_at` | Collection timestamp |

### Use Cases

- **Inspection Monitoring:** Review restaurant inspection records across New York.
- **Compliance Research:** Analyze critical and noncritical violation counts.
- **Public Health Analysis:** Study inspection patterns across counties and municipalities.
- **Business Research:** Build structured lists of food service establishments.
- **Journalism and Research:** Organize public inspection records for further investigation.
- **Restaurant Verification:** Review available inspection dates and reported violations.

### FAQ

**What information does this actor collect?**

It collects facility names, addresses, inspection dates, violation summaries, violation counts, establishment descriptions, and local health department information.

**Can I search for a specific restaurant?**

Yes. Select Full-Text Search mode and provide a keyword through `searchText`.

**Can I filter inspection records by city or county?**

Yes. Select SoQL Filter mode and provide a condition through `where`, such as `city='ALBANY'`.

**Can I filter records by inspection date?**

Yes. Use a suitable date condition in the `where` parameter to narrow the records.

**Can I export the results to Excel or CSV?**

Yes. Apify supports JSON, CSV, Excel, and other dataset export formats.

**Can I schedule recurring collections?**

Yes. Use Apify Schedules to refresh the dataset automatically at your preferred intervals.

### Trademark Notice and Disclaimer

New York State Department of Health and its related names, logos, and trademarks belong to their respective owners. This actor is an independent data collection tool and is not affiliated with, sponsored by, or endorsed by the department.

### Is Web Scraping Legal?

This actor collects publicly accessible food service inspection information without bypassing login screens, paywalls, or technical security measures. How collected information can be used depends on applicable laws and the source website's policies.

- **Personal Data:** Inspection records may contain business or individual names and other identifying details. Handle personal information responsibly and follow applicable privacy laws, including GDPR or CCPA where relevant.
- **Copyright and Licensing:** Publicly accessible government records may still be subject to applicable dataset licensing and attribution requirements. Review the source's terms before reusing or redistributing collected information.
- **Platform Terms and Rate Limits:** Respect the source platform's policies, attribution requirements, and reasonable request intervals.
- **Disclaimer:** This information is general guidance, not legal advice. Consult a qualified legal professional if you have questions about your intended use.

[Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)

# Actor input Schema

## `mode` (type: `string`):

What to collect.

## `searchText` (type: `string`):

Full-text search across all columns ($q).

## `where` (type: `string`):

SoQL WHERE clause, e.g. city='ALBANY' or :updated_at>'2020-01-01'.

## `orderBy` (type: `string`):

SoQL $order. Stable paging needs a unique order.

## `appToken` (type: `string`):

Optional Socrata app token (X-App-Token) for higher limits.

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

Stop after this many successful rows. Hard max is 1000.

## `requestDelayMs` (type: `integer`):

Polite pacing in milliseconds.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

## `proxyConfiguration` (type: `object`):

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "all_rows",
  "searchText": "inc",
  "where": ":updated_at>'2020-01-01'",
  "orderBy": ":id",
  "maxItems": 100,
  "requestDelayMs": 500,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

## `dataset` (type: `string`):

Full dataset for this run.

## `items` (type: `string`):

Dataset items as 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 = {
    "searchText": "inc"
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/ny-food-service-inspections-scraper").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 = { "searchText": "inc" }

# Run the Actor and wait for it to finish
run = client.actor("kawsar/ny-food-service-inspections-scraper").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 '{
  "searchText": "inc"
}' |
apify call kawsar/ny-food-service-inspections-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/ny-food-service-inspections-scraper"
        }
    }
}
```

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/gsJBHdoXZWOlue6wx/builds/G1uqDdYMTA7tR9wlg/openapi.json