# FDA Recall Monitor — Food, Drug & Device Enforcement Reports (`eschalon/fda-recall-monitor`) Actor Track new FDA recall enforcement reports across food, drugs, and medical devices from the official openFDA API — classification, product, reason, firm, and distribution details. - **URL**: https://apify.com/eschalon/fda-recall-monitor.md - **Developed by:** [Corey Kuwanoe](https://apify.com/eschalon) (community) - **Categories:** Business, News - **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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## FDA Recall Monitor — Food, Drug & Device Enforcement Reports Track **new FDA recall enforcement reports** across food, pharmaceuticals, and medical devices — straight from the official openFDA API. Recalls move markets, empty shelves, and trigger liability. FDA publishes enforcement reports weekly; this actor turns them into a clean, filterable dataset within minutes of your schedule. ### Who uses this - **Food safety & QA teams** — watch for ingredient and supplier recalls that touch your products - **Retailers & distributors** — pull recalled SKUs before customers find them - **Law firms & insurers** — Class I recalls are case and claim signals - **CPG competitive intel & journalists** — who's recalling, how often, and why ### What you get One dataset row per enforcement report: | Field | Example | |---|---| | `category` | `food` | | `recall_number` | `F-1234-2026` | | `classification` | `Class I` (most serious) | | `status` | `Ongoing` | | `product_description` | `Frozen diced chicken, 5 lb bags…` | | `reason_for_recall` | `Potential Listeria monocytogenes contamination` | | `recalling_firm` | `Acme Foods LLC` | | `city` / `state` / `country` | `Springfield` / `IL` / `United States` | | `report_date` / `recall_initiation_date` | `2026-06-25` / `2026-06-10` | | `distribution_pattern` | `Nationwide` | ### Input - **sinceDays** — look-back window (default 30; FDA publishes weekly) - **categories** — any of `food`, `drug`, `device` (default all three) - **classifications** — optional filter: `Class I`, `Class II`, `Class III` - **maxItems** — cap on results - **apiKey** — optional free openFDA key for higher rate limits ### Typical setups - **Weekly Class I alert**: schedule weekly, `classifications: ["Class I"]`, export to Slack/email via Apify integrations. - **Food-only watch**: `categories: ["food"]`, `sinceDays: 14`, feed your QA dashboard. - **Research backfill**: `sinceDays: 365`, `maxItems: 10000`. ### Data source & legality Official openFDA enforcement endpoints (api.fda.gov). Public US government data; no scraping, no ToS issues. Note openFDA's standard disclaimer: data is not for clinical decision-making. # Actor input Schema ## `sinceDays` (type: `integer`): Return enforcement reports with report dates within this many days. FDA publishes enforcement reports weekly, so 30+ days is recommended. ## `categories` (type: `array`): Which openFDA enforcement feeds to scan: food, drug, device. ## `classifications` (type: `array`): Optional filter: Class I (dangerous), Class II, Class III. Leave empty for all. ## `maxItems` (type: `integer`): Stop after this many reports (across all categories). ## `apiKey` (type: `string`): Optional api.fda.gov key for higher rate limits (free at https://open.fda.gov/apis/authentication/). Not needed for typical runs. ## Actor input object example ```json { "sinceDays": 30, "categories": [ "food", "drug", "device" ], "maxItems": 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("eschalon/fda-recall-monitor").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 = {} # Run the Actor and wait for it to finish run = client.actor("eschalon/fda-recall-monitor").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 eschalon/fda-recall-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=eschalon/fda-recall-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Recall Monitor — Food, Drug & Device Enforcement Reports", "description": "Track new FDA recall enforcement reports across food, drugs, and medical devices from the official openFDA API — classification, product, reason, firm, and distribution details.", "version": "0.1", "x-build-id": "131erYXBcHuxIorCE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/eschalon~fda-recall-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-eschalon-fda-recall-monitor", "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/eschalon~fda-recall-monitor/runs": { "post": { "operationId": "runs-sync-eschalon-fda-recall-monitor", "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/eschalon~fda-recall-monitor/run-sync": { "post": { "operationId": "run-sync-eschalon-fda-recall-monitor", "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", "properties": { "sinceDays": { "title": "Look-back window (days)", "minimum": 1, "maximum": 365, "type": "integer", "description": "Return enforcement reports with report dates within this many days. FDA publishes enforcement reports weekly, so 30+ days is recommended.", "default": 30 }, "categories": { "title": "Product categories", "type": "array", "description": "Which openFDA enforcement feeds to scan: food, drug, device.", "items": { "type": "string" }, "default": [ "food", "drug", "device" ] }, "classifications": { "title": "Recall classifications", "type": "array", "description": "Optional filter: Class I (dangerous), Class II, Class III. Leave empty for all.", "items": { "type": "string" } }, "maxItems": { "title": "Max reports", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop after this many reports (across all categories).", "default": 500 }, "apiKey": { "title": "openFDA API key", "type": "string", "description": "Optional api.fda.gov key for higher rate limits (free at https://open.fda.gov/apis/authentication/). Not needed for typical runs." } } }, "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 } } } } } } } } } } ```