# US Food & Health Inspection Scraper — Multi-City Open Data (`peppy_clasp/food-inspection-scraper`) Actor

Extract restaurant health inspection results, violations, and scores from major US cities' public health department data. Perfect for food safety compliance, restaurant due diligence, and franchise quality tracking.

- **URL**: https://apify.com/peppy\_clasp/food-inspection-scraper.md
- **Developed by:** [Mitchell Megla](https://apify.com/peppy_clasp) (community)
- **Categories:** Developer tools, Automation
- **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

## US Food & Health Inspection Scraper — Multi-City Open Data

Extract restaurant health inspection results, violations, scores, and grades from major US cities' **public health department data portals**. All data is publicly available via Socrata Open Data APIs — no authentication required.

### Why use this actor?

- **Food safety compliance monitoring**: Track inspection results across cities
- **Restaurant due diligence**: Check health scores before investing or franchising
- **Consumer safety apps**: Build apps that show restaurant health grades
- **Franchise quality tracking**: Monitor inspection scores across franchise locations
- **Market research**: Analyze food safety trends by neighborhood

### Supported Cities

| City | State | Data Source |
|------|-------|-------------|
| Chicago | IL | Chicago Food Inspections |
| New York | NY | NYC DOHMH Restaurant Inspections |
| Dallas | TX | Dallas Open Data |
| San Francisco | CA | SF Restaurant Scores |
| Louisville | KY | Louisville Metro Health Inspections |
| Philadelphia | PA | Philadelphia Restaurant Inspections |

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `cities` | string\[] | chicago, nyc, dallas, sf | Cities to scrape |
| `daysBack` | integer | 30 | Days of inspections to fetch |
| `maxResults` | integer | 500 | Max results per city |

### Output

Each inspection record contains:

```json
{
    "city": "Chicago",
    "state": "IL",
    "facility_name": "Joe's Pizza",
    "address": "123 Main St, Chicago, IL 60601",
    "facility_type": "Restaurant",
    "cuisine": "Italian",
    "inspection_date": "2026-06-15",
    "inspection_type": "Canvass",
    "inspection_result": "Pass",
    "score": 92,
    "grade": "A",
    "risk": "Risk 1 (High)",
    "critical_flag": "Critical",
    "violations": "3. Management, food employees knowledge..."
}
```

### Pricing

**Pay Per Event**: $0.003 per inspection record. No results = no charge.

### Notes

- All data from official city open data portals (Socrata APIs)
- Data freshness: daily to weekly depending on city
- NYC has the most comprehensive data (DOHMH inspection system)
- Chicago has the largest dataset (300K+ inspections)

# Actor input Schema

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

Cities to scrape: chicago, nyc, dallas, sf, louisville, philadelphia

## `daysBack` (type: `integer`):

How many days of inspections to fetch (1-365).

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

Maximum number of inspections to return per city.

## Actor input object example

```json
{
  "cities": [
    "chicago",
    "nyc",
    "dallas",
    "sf"
  ],
  "daysBack": 30,
  "maxResults": 500
}
```

# 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("peppy_clasp/food-inspection-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("peppy_clasp/food-inspection-scraper").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 peppy_clasp/food-inspection-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=peppy_clasp/food-inspection-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KS8E1IUmplRemv0N1/builds/FaEeISu05w3VKr9VH/openapi.json