# FDA Recalls Monitor - Drug, Device & Food to JSON (`lxraa/fda-recalls-monitor`) Actor Search & monitor FDA recalls (drug, device, food) via the official openFDA API. Filter by keyword, status, classification. Clean structured JSON for compliance, legal, pharma and research. - **URL**: https://apify.com/lxraa/fda-recalls-monitor.md - **Developed by:** [lxraa](https://apify.com/lxraa) (community) - **Categories:** Business, Agents - **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 Recalls Monitor — Drug, Device & Food Recalls → JSON (with stock tickers) Search and monitor **FDA enforcement recalls** (drug, device, food) through the official **openFDA** API. No browser, no proxy: a public government API, so it's fast, reliable, and fully legal. Recall data is de-identified public enforcement information. #### What it does Query openFDA's enforcement datasets by category, keyword, status, and severity class, and get clean, flattened recall records — recall reason, recalling firm, classification, distribution, dates, and more. #### Bonus: recalling firm → stock ticker A recall is a market-moving event. When the recalling firm is a publicly-traded company, this actor maps it to its **stock ticker + SEC CIK** (via SEC's official company list, with a conservative match plus an alias table for big pharma like JNJ/PFE/ABBV). Most recallers are private or foreign generic makers (so `ticker` is often `null`) — but when it matches, you get a high-signal, ticker-tagged event. Turn it off with `mapTickers: false`. #### Input | Field | Description | |-------|-------------| | `category` | `drug`, `device`, or `food` | | `keyword` | Optional term matched on product description (e.g. `insulin`) | | `status` | `Ongoing`, `Completed`, `Terminated`, `Pending`, or empty for all | | `classification` | `Class I` (most serious), `Class II`, `Class III`, or empty | | `maxResults` | Max recalls to return | | `mapTickers` | Add ticker + CIK for matched recalling firms (default `true`) | #### Output (one item per recall) ```json { "recallNumber": "D-1234-2026", "status": "Ongoing", "classification": "Class II", "recallingFirm": "Example Pharma Inc", "ticker": null, "cik": null, "reason": "Failed dissolution specifications", "productDescription": "...", "city": "Trenton", "state": "NJ", "country": "United States", "recallInitiationDate": "20260512", "reportDate": "20260601" } ```` #### Use cases - **Pharma / medtech / food safety** — monitor recalls in your category or by competitor. - **Quant / alternative data** — ticker-tagged recall events as risk signals. - **Compliance & QA** — track Class I/II recalls relevant to your supply chain. #### Pricing Pay-per-result (PPE): billed per recall returned. Schedule it for a fresh recall feed. #### Legal & data notes All data comes from the official openFDA enforcement API (public, de-identified enforcement records). Ticker mapping uses SEC's public `company_tickers.json`. # Actor input Schema ## `category` (type: `string`): Which FDA enforcement dataset to query. ## `keyword` (type: `string`): Optional term matched against the product description (e.g. "insulin", "hand sanitizer"). ## `status` (type: `string`): Recall status filter. ## `classification` (type: `string`): Recall severity class (I = most serious). ## `maxResults` (type: `integer`): Maximum recalls to return. ## `mapTickers` (type: `boolean`): Add public-company ticker + SEC CIK for each recalling firm when confidently matched (via SEC's official company list). A recall is a market-moving event — this turns raw recalls into a signal-ready feed. ## Actor input object example ```json { "category": "drug", "status": "Ongoing", "classification": "", "maxResults": 200, "mapTickers": true } ``` # 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("lxraa/fda-recalls-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("lxraa/fda-recalls-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 lxraa/fda-recalls-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lxraa/fda-recalls-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Recalls Monitor - Drug, Device & Food to JSON", "description": "Search & monitor FDA recalls (drug, device, food) via the official openFDA API. Filter by keyword, status, classification. Clean structured JSON for compliance, legal, pharma and research.", "version": "0.1", "x-build-id": "FfkqCQz9r05DlAiQT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lxraa~fda-recalls-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lxraa-fda-recalls-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/lxraa~fda-recalls-monitor/runs": { "post": { "operationId": "runs-sync-lxraa-fda-recalls-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/lxraa~fda-recalls-monitor/run-sync": { "post": { "operationId": "run-sync-lxraa-fda-recalls-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": { "category": { "title": "Category", "enum": [ "drug", "device", "food" ], "type": "string", "description": "Which FDA enforcement dataset to query.", "default": "drug" }, "keyword": { "title": "Keyword", "type": "string", "description": "Optional term matched against the product description (e.g. \"insulin\", \"hand sanitizer\")." }, "status": { "title": "Status", "enum": [ "", "Ongoing", "Completed", "Terminated", "Pending" ], "type": "string", "description": "Recall status filter.", "default": "Ongoing" }, "classification": { "title": "Classification", "enum": [ "", "Class I", "Class II", "Class III" ], "type": "string", "description": "Recall severity class (I = most serious).", "default": "" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 25000, "type": "integer", "description": "Maximum recalls to return.", "default": 200 }, "mapTickers": { "title": "Map recalling firm to stock tickers", "type": "boolean", "description": "Add public-company ticker + SEC CIK for each recalling firm when confidently matched (via SEC's official company list). A recall is a market-moving event — this turns raw recalls into a signal-ready feed.", "default": true } } }, "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 } } } } } } } } } } ```