# openFDA Drug Recalls & Enforcement Tracker (`v0iddo/openfda-drug-recalls`) Actor Pull recent FDA drug recall actions. Filter by class (I/II/III), recalling firm, distribution state, or keyword. One row per recall — id, class, firm, product, reason, dates, distribution. Cron-ready for pharma + retail-health watchlists. openFDA API (free, no auth). - **URL**: https://apify.com/v0iddo/openfda-drug-recalls.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 drug recall extracteds 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 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 ## openFDA Drug Recalls & Enforcement Tracker Pull recent **FDA drug recall / enforcement** actions from openFDA. Filter by class (I/II/III), recalling firm, product keyword, distribution state, or status. One clean row per recall — id, classification, firm, product, reason, dates, distribution pattern. Built **for cron** (daily watchlist for pharma analysts, retail health investors, hospital pharmacies) and ad-hoc audits. No auth — pure openFDA REST. ### Inputs ```json { "sinceDays": 30, "classifications": ["Class I", "Class II"], "firmKeywords": ["Pfizer", "Teva"], "productKeywords": ["acetaminophen"], "maxResults": 500 } ```` | input | default | notes | |---|---|---| | `sinceDays` | `30` | `report_date >= now - sinceDays`. Use `1-7` for daily/weekly cron. | | `classifications` | all | FDA recall classes: `Class I` (most serious — life-threatening), `Class II`, `Class III`. | | `statusFilter` | all | `Ongoing`, `Completed`, `Terminated`, `Pending`. | | `firmKeywords` | — | Recalling firm substring matches. Each is a separate query. | | `productKeywords` | — | Product description substring matches. Each is a separate query. | | `stateFilter` | — | Single US state to filter `distribution_pattern`. | | `maxResults` | `1000` | Hard cap. | | `apiKey` | — | Optional openFDA key (boosts daily quota). | ### Output One row per recall: | field | example | |---|---| | recallNumber | `D-1234-2026` | | eventId | `92341` | | status | `Ongoing`, `Terminated` | | classification | `Class I` | | productType | `Drugs` | | recallingFirm | `Pfizer Inc.` | | firmAddress | `235 East 42nd Street, New York, NY, 10017, United States` | | productDescription | `Atorvastatin Calcium Tablets 10 mg, ...` | | productQuantity | `850,000 bottles` | | reasonForRecall | `Subpotent: Out of specification dissolution test results.` | | voluntaryMandated | `Voluntary: Firm initiated` | | initialFirmNotification | `Letter`, `Press Release`, `Two or more of the following` | | distributionPattern | `Nationwide` or specific states | | recallInitiationDate | `20260510` (YYYYMMDD) | | reportDate | `20260518` | | centerClassificationDate | `20260520` | | terminationDate | `20261015` (when applicable) | | fdaUrl | FDA IRES lookup URL | ### Daily cron pattern ```json { "sinceDays": 1, "classifications": ["Class I", "Class II"] } ``` ### Real-world questions this answers - **Retail health investor.** Class-I recall just dropped — what's the recalling firm's ticker? - **Hospital pharmacy / 340B.** Are any of our inventoried SKUs recalled today? - **Pharma competitive intel.** Which competitors are getting hit with quality recalls? - **Compliance journalism.** Track recall reasons + classes over time for a vendor. ### What it doesn't do - Doesn't fetch FDA approval events (that's a separate openFDA endpoint — planned for v2). - Doesn't enrich with stock ticker (firm-to-ticker is a downstream join). - Doesn't include device or food recalls (separate openFDA endpoints — different schemas). ### Maintained by [vøiddo studio](https://voiddo.com) — small independent shop. # Actor input Schema ## `sinceDays` (type: `integer`): Filter by report\_date >= now-sinceDays. Use 1-7 for a daily-or-weekly cron. ## `classifications` (type: `array`): Limit to FDA class I (most serious), II, or III. Empty = all. ## `statusFilter` (type: `array`): Limit to current recall status. Empty = all. ## `firmKeywords` (type: `array`): Free-text substring match against `recalling_firm`. Each is its own query. Example: \["Pfizer", "Teva"]. ## `productKeywords` (type: `array`): Free-text substring match against `product_description` (active ingredient, brand). Each is its own query. Example: \["acetaminophen", "lisinopril"]. ## `stateFilter` (type: `string`): Optional: limit to recalls with a single state in distribution\_pattern. Use 2-letter code or full name. Empty = all. ## `maxResults` (type: `integer`): Hard cap to keep runs cheap. Default 1000. ## `apiKey` (type: `string`): Optional. Anonymous = 240 req/min and 1k/day. With a free open.fda.gov key = 240 req/min and 120k/day. ## Actor input object example ```json { "sinceDays": 30, "classifications": [], "statusFilter": [], "firmKeywords": [], "productKeywords": [], "stateFilter": "", "maxResults": 1000 } ``` # 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("v0iddo/openfda-drug-recalls").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("v0iddo/openfda-drug-recalls").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 v0iddo/openfda-drug-recalls --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/openfda-drug-recalls", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "openFDA Drug Recalls & Enforcement Tracker", "description": "Pull recent FDA drug recall actions. Filter by class (I/II/III), recalling firm, distribution state, or keyword. One row per recall — id, class, firm, product, reason, dates, distribution. Cron-ready for pharma + retail-health watchlists. openFDA API (free, no auth).", "version": "0.1", "x-build-id": "ZdSke6z7iR4jeCrYj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~openfda-drug-recalls/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-openfda-drug-recalls", "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/v0iddo~openfda-drug-recalls/runs": { "post": { "operationId": "runs-sync-v0iddo-openfda-drug-recalls", "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/v0iddo~openfda-drug-recalls/run-sync": { "post": { "operationId": "run-sync-v0iddo-openfda-drug-recalls", "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 (days, report_date)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Filter by report_date >= now-sinceDays. Use 1-7 for a daily-or-weekly cron.", "default": 30 }, "classifications": { "title": "Recall classifications", "uniqueItems": true, "type": "array", "description": "Limit to FDA class I (most serious), II, or III. Empty = all.", "items": { "type": "string", "enum": [ "Class I", "Class II", "Class III" ] }, "default": [] }, "statusFilter": { "title": "Recall status", "uniqueItems": true, "type": "array", "description": "Limit to current recall status. Empty = all.", "items": { "type": "string", "enum": [ "Ongoing", "Completed", "Terminated", "Pending" ] }, "default": [] }, "firmKeywords": { "title": "Recalling firm filters", "type": "array", "description": "Free-text substring match against `recalling_firm`. Each is its own query. Example: [\"Pfizer\", \"Teva\"].", "default": [], "items": { "type": "string" } }, "productKeywords": { "title": "Product keyword filters", "type": "array", "description": "Free-text substring match against `product_description` (active ingredient, brand). Each is its own query. Example: [\"acetaminophen\", \"lisinopril\"].", "default": [], "items": { "type": "string" } }, "stateFilter": { "title": "Distribution state (US)", "type": "string", "description": "Optional: limit to recalls with a single state in distribution_pattern. Use 2-letter code or full name. Empty = all.", "default": "" }, "maxResults": { "title": "Max results (across all filters)", "minimum": 1, "maximum": 25000, "type": "integer", "description": "Hard cap to keep runs cheap. Default 1000.", "default": 1000 }, "apiKey": { "title": "openFDA API key (optional)", "type": "string", "description": "Optional. Anonymous = 240 req/min and 1k/day. With a free open.fda.gov key = 240 req/min and 120k/day." } } }, "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 } } } } } } } } } } ```