# Us Food Inspections (`great_pistachio/us-food-inspections`) Actor Restaurant and food-service health inspections across NYC, Chicago, King County (Seattle), and Delaware from official open data. Business, address, date, result/grade, and violations. Filter by result or violation text for food-safety monitoring and lead gen. - **URL**: https://apify.com/great\_pistachio/us-food-inspections.md - **Developed by:** [Saturnin Pugnet](https://apify.com/great_pistachio) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 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/platform/actors/running/actors-in-store#pay-per-event ## 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use 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 & Restaurant Health Inspections Restaurant and food-service health inspections across **New York City, Chicago, King County (Seattle), and Delaware** in one unified feed, straight from official open-data portals. No key, no browser, near-zero maintenance. ### Use cases - **Food-safety monitoring** — track failed inspections, closures, and critical violations as they post. - **Insurtech / underwriting** — signal risk on food-service businesses (violation history, closures). - **Food-distributor & franchise-dev leads** — target newly-opened or recently-inspected establishments by area. - **Consumer / press apps** — surface local restaurant grades and violations. ### Sources | Jurisdiction | Grading | Violation detail | |--------------|---------|------------------| | New York City | Letter grade (A/B/C) + score + critical flag | one row per violation | | Chicago | Pass / Fail / conditional | all violations in one text field | | King County, WA (Seattle) | Grade + score + closure flag | violation type + description | | Delaware (statewide) | violation-based | violation code + description | ### Input ```json { "jurisdictions": ["nyc"], "resultFilter": "C", "sinceDays": 30 } ```` ```json { "violationContains": "rodent", "sinceDays": 14 } ``` ```json { "jurisdictions": ["chicago"], "resultFilter": "fail", "businessNameContains": "pizza" } ``` | Field | Description | |-------|-------------| | `jurisdictions` | `nyc`, `chicago`, `king_county`, `delaware`. Empty = all | | `resultFilter` | Substring match on result/grade (e.g. `fail`, `unsatisfactory`, `closed`, `C`) | | `violationContains` | Substring match on violation text (e.g. `rodent`, `temperature`) | | `businessNameContains` | Substring match on business name | | `zipPrefix` | Keep only ZIPs starting with this prefix | | `sinceDays` | Inspections in the last N days | | `maxResultsPerSource` / `maxResults` | Caps. 0 = unlimited | ### Output Each record: `jurisdiction`, `businessName`, `category`, `address`, `city`, `state`, `zip`, `phone`, `inspectionDate`, `inspectionType`, `result`, `grade`, `score`, `criticalFlag`, `violationCode`, `violationDescription`, `closedBusiness`, `latitude`, `longitude`, `sourceUrl`, `dataSource`. ### Related Actors - [US Building Permits](https://apify.com/great_pistachio/us-building-permits) — daily permits, contractor leads - [US Contractor & Professional Licenses](https://apify.com/great_pistachio/us-contractor-licenses) — license records & KYB - [US New Business Filings](https://apify.com/great_pistachio/us-new-business-filings) — new business registrations # Actor input Schema ## `jurisdictions` (type: `array`): Which jurisdictions to pull. Leave empty for all. ## `resultFilter` (type: `string`): Only include inspections whose result/grade contains this text (case-insensitive), e.g. 'fail', 'unsatisfactory', 'closed', 'C'. Leave empty for all. ## `violationContains` (type: `string`): Only include records whose violation text contains this (case-insensitive), e.g. 'rodent', 'temperature', 'vermin'. Leave empty for all. ## `businessNameContains` (type: `string`): Only include records whose business name contains this text (case-insensitive). Leave empty for all. ## `zipPrefix` (type: `string`): Only include records whose ZIP starts with this prefix. Leave empty for all. ## `sinceDays` (type: `integer`): Only inspections in the last N days. Inspection feeds publish with a few days' lag. ## `maxResultsPerSource` (type: `integer`): Cap per jurisdiction. 0 = unlimited. ## `maxResults` (type: `integer`): Cap total across all jurisdictions. 0 = unlimited. ## Actor input object example ```json { "jurisdictions": [], "resultFilter": "", "violationContains": "", "businessNameContains": "", "zipPrefix": "", "sinceDays": 30, "maxResultsPerSource": 50, "maxResults": 0 } ``` # Actor output Schema ## `defaultDataset` (type: `string`): Recent restaurant/food-service health inspections - business, address, date, result/grade, and violations across US jurisdictions # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxResultsPerSource": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("great_pistachio/us-food-inspections").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "maxResultsPerSource": 50 } # Run the Actor and wait for it to finish run = client.actor("great_pistachio/us-food-inspections").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 '{ "maxResultsPerSource": 50 }' | apify call great_pistachio/us-food-inspections --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=great_pistachio/us-food-inspections", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Us Food Inspections", "description": "Restaurant and food-service health inspections across NYC, Chicago, King County (Seattle), and Delaware from official open data. Business, address, date, result/grade, and violations. Filter by result or violation text for food-safety monitoring and lead gen.", "version": "1.0", "x-build-id": "EO2EKa9zuaf3BLAwe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/great_pistachio~us-food-inspections/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-great_pistachio-us-food-inspections", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/great_pistachio~us-food-inspections/runs": { "post": { "operationId": "runs-sync-great_pistachio-us-food-inspections", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/great_pistachio~us-food-inspections/run-sync": { "post": { "operationId": "run-sync-great_pistachio-us-food-inspections", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "sinceDays" ], "properties": { "jurisdictions": { "title": "Jurisdictions", "uniqueItems": true, "type": "array", "description": "Which jurisdictions to pull. Leave empty for all.", "items": { "type": "string", "enum": [ "nyc", "chicago", "king_county", "delaware" ], "enumTitles": [ "New York City, NY", "Chicago, IL", "King County, WA (Seattle)", "Delaware (statewide)" ] }, "default": [] }, "resultFilter": { "title": "Result Filter", "type": "string", "description": "Only include inspections whose result/grade contains this text (case-insensitive), e.g. 'fail', 'unsatisfactory', 'closed', 'C'. Leave empty for all.", "default": "" }, "violationContains": { "title": "Violation Contains", "type": "string", "description": "Only include records whose violation text contains this (case-insensitive), e.g. 'rodent', 'temperature', 'vermin'. Leave empty for all.", "default": "" }, "businessNameContains": { "title": "Business Name Contains", "type": "string", "description": "Only include records whose business name contains this text (case-insensitive). Leave empty for all.", "default": "" }, "zipPrefix": { "title": "ZIP Filter", "type": "string", "description": "Only include records whose ZIP starts with this prefix. Leave empty for all.", "default": "" }, "sinceDays": { "title": "Since (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Only inspections in the last N days. Inspection feeds publish with a few days' lag.", "default": 30 }, "maxResultsPerSource": { "title": "Max Results per Jurisdiction", "minimum": 0, "type": "integer", "description": "Cap per jurisdiction. 0 = unlimited.", "default": 50 }, "maxResults": { "title": "Max Results Total", "minimum": 0, "type": "integer", "description": "Cap total across all jurisdictions. 0 = unlimited.", "default": 0 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```