# OpenFDA Drug & Recall Monitor (`agentictools/openfda-safety-monitor`) Actor Search FDA data for drug adverse events, recalls, and enforcement reports for any drug, device, food, or company. Official openFDA data. - **URL**: https://apify.com/agentictools/openfda-safety-monitor.md - **Developed by:** [Ken Agland](https://apify.com/agentictools) (community) - **Categories:** Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 record returneds 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 & Recall Monitor Search FDA data for drug adverse events, recalls, and enforcement reports for any drug, device, food, or company. Official openFDA data. ### What it does This Actor queries the public openFDA API by keyword across five datasets: drug adverse events, drug recalls, device recalls, food recalls, and drug labels. Give it a drug name, device, food product, or company name and it returns normalized, structured records plus a run summary. ### Example input ```json { "query": "ibuprofen", "dataset": "drug-recalls", "limit": 25 } ```` Adverse events reported for a drug since a given date: ```json { "query": "metformin", "dataset": "drug-events", "limit": 50, "sinceDate": "20240101" } ``` ### Input | Field | Type | Description | |---|---|---| | `query` | string | Required. Keyword to search for: a drug name, device, food product, or company. | | `dataset` | string | Which openFDA dataset to search: `drug-events`, `drug-recalls`, `device-recalls`, `food-recalls`, or `drug-labels`. Default `drug-recalls`. | | `limit` | integer | How many records to return, up to 100. Default 25. | | `sinceDate` | string | Only include records reported on or after this date (`YYYYMMDD`). Optional. | ### Output Recall and enforcement datasets (`drug-recalls`, `device-recalls`, `food-recalls`): ```json { "recallNumber": "D-727-2015", "firm": "Attix Pharmaceuticals", "product": "Ibuprofen active pharmaceutical ingredient packaged in varying grams or kg in bags or drums", "reason": "Penicillin Cross Contamination: lots repackaged in a facility with penicillin products without adequate separation.", "classification": "Class II", "status": "Terminated", "recallInitiationDate": "20141114", "distributionPattern": "Nationwide to compounding pharmacies and research organizations.", "dataset": "drug-recalls" } ``` Adverse events (`drug-events`): ```json { "safetyReportId": "10003301", "drugs": ["IBUPROFEN"], "reactions": ["Dyspepsia", "Renal impairment"], "serious": true, "receiveDate": "20140228", "dataset": "drug-events" } ``` Drug labels (`drug-labels`): ```json { "brandName": "Advil", "genericName": "IBUPROFEN", "manufacturer": "Lil' Drug Store Products, Inc.", "purpose": "Pain reliever/fever reducer", "warnings": "Stomach bleeding warning: this product contains an NSAID...", "dataset": "drug-labels" } ``` #### Run summary (OUTPUT) The run's default key-value store record `OUTPUT` holds a summary: ```json { "dataset": "drug-recalls", "query": "ibuprofen", "sinceDate": null, "totalMatched": 68, "returned": 10, "generatedFrom": "https://api.fda.gov/drug/enforcement.json?search=..." } ``` ### How it works The Actor calls the public openFDA API (`https://api.fda.gov`), no API key required. It builds a field-targeted search for the chosen dataset (recall description and firm name for enforcement data, medicinal product for adverse events, brand/generic/substance name for labels), adds a date range when `sinceDate` is given, and sends a descriptive User-Agent on every request. Requests are retried with backoff on rate limiting (429) and server errors (5xx); other client errors fail fast. A query with zero matches is treated as an empty result, not an error. ### Use cases - Monitor a drug or device for new recalls and safety enforcement actions. - Track adverse event reports for a medication over time. - Look up label warnings and active ingredients for a brand or generic drug. - Screen a supplier or manufacturer for recall history before sourcing. # Actor input Schema ## `query` (type: `string`): Keyword to search for: a drug name, device, food product, or company name (e.g. "ibuprofen", "Pfizer", "peanut butter"). ## `dataset` (type: `string`): Which openFDA dataset to search. ## `limit` (type: `integer`): How many records to return. Maximum 100 per run. ## `sinceDate` (type: `string`): Only include records reported on or after this date (format YYYYMMDD, e.g. 20240101). Leave blank for no date filter. ## Actor input object example ```json { "query": "ibuprofen", "dataset": "drug-recalls", "limit": 25 } ``` # 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 = { "query": "ibuprofen" }; // Run the Actor and wait for it to finish const run = await client.actor("agentictools/openfda-safety-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 = { "query": "ibuprofen" } # Run the Actor and wait for it to finish run = client.actor("agentictools/openfda-safety-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 '{ "query": "ibuprofen" }' | apify call agentictools/openfda-safety-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentictools/openfda-safety-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OpenFDA Drug & Recall Monitor", "description": "Search FDA data for drug adverse events, recalls, and enforcement reports for any drug, device, food, or company. Official openFDA data.", "version": "0.1", "x-build-id": "lshozSF4D68skmDBz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentictools~openfda-safety-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentictools-openfda-safety-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentictools~openfda-safety-monitor/runs": { "post": { "operationId": "runs-sync-agentictools-openfda-safety-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentictools~openfda-safety-monitor/run-sync": { "post": { "operationId": "run-sync-agentictools-openfda-safety-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "query" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "Keyword to search for: a drug name, device, food product, or company name (e.g. \"ibuprofen\", \"Pfizer\", \"peanut butter\")." }, "dataset": { "title": "Dataset", "enum": [ "drug-events", "drug-recalls", "device-recalls", "food-recalls", "drug-labels" ], "type": "string", "description": "Which openFDA dataset to search.", "default": "drug-recalls" }, "limit": { "title": "Max results", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many records to return. Maximum 100 per run.", "default": 25 }, "sinceDate": { "title": "Since date", "type": "string", "description": "Only include records reported on or after this date (format YYYYMMDD, e.g. 20240101). Leave blank for no date filter." } } }, "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 } } } } } } } } } } ```