# OpenFDA — Drug Recalls, Adverse Events & Labels (`commonelements/openfda-drug-data`) Actor Search FDA drug recalls, adverse event reports (FAERS), and drug label information via the OpenFDA API. Filter by drug name, recall class, state, date range, and reaction type. No API key required. - **URL**: https://apify.com/commonelements/openfda-drug-data.md - **Developed by:** [Harry Schoeller](https://apify.com/commonelements) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 dataset item scrapeds 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, Adverse Events & Labels Search FDA drug safety data via the OpenFDA public API. Three modes: enforcement actions (recalls), adverse event reports (FAERS), and drug label information. ### Modes #### `enforcement` (default) — Drug recalls & market withdrawals ```json { "mode": "enforcement", "classification": "Class I", "startDate": "2023-01-01", "maxRecords": 200 } ```` #### `adverse-events` — FAERS adverse event reports ```json { "mode": "adverse-events", "drugName": "metformin", "seriousOnly": true, "startDate": "2022-01-01", "maxRecords": 500 } ``` #### `labels` — Drug label / prescribing information ```json { "mode": "labels", "drugName": "lisinopril", "maxRecords": 10 } ``` ### Example output record (enforcement) ```json { "recall_number": "D-1234-2023", "status": "Ongoing", "recalling_firm": "ABC Pharmaceuticals Inc.", "reason_for_recall": "Out of specification results for potency", "classification": "Class II", "product_description": "Metformin HCl Tablets, 500mg", "state": "NJ", "recall_initiation_date": "20230315", "distribution_pattern": "Nationwide", "fetchedAt": "2025-01-01T00:00:00.000Z" } ``` ### Recall classifications - **Class I** — Serious health risk or death possible - **Class II** — Temporary adverse health effects - **Class III** — Unlikely to cause adverse effects ### Use cases - Drug safety monitoring and pharmacovigilance - Supply chain and pharmacy compliance - Healthcare provider risk alerts - Insurance and liability research - Academic drug safety research # Actor input Schema ## `mode` (type: `string`): Which OpenFDA endpoint to query. ## `searchQuery` (type: `string`): Raw Lucene query string appended to any other filters. E.g. 'recalling\_firm:"Pfizer"' or 'patient.reaction.reactionmeddrapt:"nausea"'. ## `drugName` (type: `string`): Filter by drug/product name. For enforcement searches product\_description; for adverse-events searches patient.drug.medicinalproduct; for labels searches openfda.brand\_name. ## `state` (type: `string`): Two-letter US state code to filter enforcement recalls by state. ## `classification` (type: `string`): Recall classification level. ## `startDate` (type: `string`): Start of date range (YYYY-MM-DD). For enforcement uses recall\_initiation\_date; for adverse-events uses receivedate; for labels uses effective\_time. ## `endDate` (type: `string`): End of date range (YYYY-MM-DD, inclusive). ## `seriousOnly` (type: `boolean`): When true, only return adverse event reports marked as serious (serious=1). ## `maxRecords` (type: `integer`): Maximum number of records to return. Defaults to 100. ## Actor input object example ```json { "mode": "enforcement", "drugName": "aspirin", "state": "CA", "startDate": "2023-01-01", "endDate": "2024-01-01", "seriousOnly": false, "maxRecords": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("commonelements/openfda-drug-data").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("commonelements/openfda-drug-data").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 commonelements/openfda-drug-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commonelements/openfda-drug-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OpenFDA — Drug Recalls, Adverse Events & Labels", "description": "Search FDA drug recalls, adverse event reports (FAERS), and drug label information via the OpenFDA API. Filter by drug name, recall class, state, date range, and reaction type. No API key required.", "version": "0.1", "x-build-id": "WJAyMTG8Ygdg7DRhC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commonelements~openfda-drug-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commonelements-openfda-drug-data", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commonelements~openfda-drug-data/runs": { "post": { "operationId": "runs-sync-commonelements-openfda-drug-data", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commonelements~openfda-drug-data/run-sync": { "post": { "operationId": "run-sync-commonelements-openfda-drug-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "enforcement", "adverse-events", "labels" ], "type": "string", "description": "Which OpenFDA endpoint to query.", "default": "enforcement" }, "searchQuery": { "title": "Search Query (Lucene syntax)", "type": "string", "description": "Raw Lucene query string appended to any other filters. E.g. 'recalling_firm:\"Pfizer\"' or 'patient.reaction.reactionmeddrapt:\"nausea\"'." }, "drugName": { "title": "Drug Name", "type": "string", "description": "Filter by drug/product name. For enforcement searches product_description; for adverse-events searches patient.drug.medicinalproduct; for labels searches openfda.brand_name." }, "state": { "title": "State (enforcement only)", "type": "string", "description": "Two-letter US state code to filter enforcement recalls by state." }, "classification": { "title": "Classification (enforcement only)", "enum": [ "Class I", "Class II", "Class III" ], "type": "string", "description": "Recall classification level." }, "startDate": { "title": "Start Date", "type": "string", "description": "Start of date range (YYYY-MM-DD). For enforcement uses recall_initiation_date; for adverse-events uses receivedate; for labels uses effective_time." }, "endDate": { "title": "End Date", "type": "string", "description": "End of date range (YYYY-MM-DD, inclusive)." }, "seriousOnly": { "title": "Serious Reports Only (adverse-events only)", "type": "boolean", "description": "When true, only return adverse event reports marked as serious (serious=1).", "default": false }, "maxRecords": { "title": "Max Records", "minimum": 1, "type": "integer", "description": "Maximum number of records to return. Defaults to 100.", "default": 100 } } }, "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 } } } } } } } } } } ```