# FDA Drug Safety Scraper — Adverse Events, Labels, Recalls (`commanding_hotdog/fda-drug-safety-scraper`) Actor Extract drug safety data from openFDA — 5M+ adverse events, drug labels, recalls. 20+ fields. Free API, no auth. Pharmaceutical research, drug safety monitoring, FAERS data analysis. - **URL**: https://apify.com/commanding\_hotdog/fda-drug-safety-scraper.md - **Developed by:** [qingwa](https://apify.com/commanding_hotdog) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## FDA Drug Safety Scraper Extract comprehensive drug safety data from the **openFDA API** — **5 million+ adverse event reports**, drug labels, and recalls with **20+ fields** per record. ### Features - 💊 **3 Data Types**: Adverse Events, Drug Labels, Recalls - 🔍 **Drug Name Search**: Search by brand name (e.g., "aspirin", "metformin") - ⚠️ **Serious Events Filter**: Focus on hospitalization, death, disability - 📅 **Date Range Filter**: Filter by report receive date - 📊 **20+ Fields**: Patient info, drug details, reactions, outcomes, reporter - 🔑 **API Key Optional**: Works without auth (240 req/min), higher limits with free key - 🏥 **FDA Official Data**: From the U.S. Food and Drug Administration ### Data Types #### 1. Adverse Events (Default) Drug side effects and adverse reactions reported to the FDA. **Fields:** - `report_id` — Unique report identifier - `report_type` — Spontaneous, Periodic, 15-Day, Direct - `serious` — Yes/No - `seriousness_categories` — Death, Life-Threatening, Hospitalization, Disability, etc. - `receive_date` — Date FDA received the report - `country` — Country where event occurred - `patient_age_years` — Patient age in years - `patient_sex` — Male/Female - `patient_weight_kg` — Patient weight in kg - `drug_names` — Drug brand names involved - `active_ingredients` — Active pharmaceutical ingredients - `reactions` — Adverse reaction terms (MedDRA) - `outcomes` — Patient outcomes (Recovered, Fatal, Not Recovered, etc.) - `reporter_qualification` — Who reported (Physician, Pharmacist, Consumer) #### 2. Drug Labels FDA-approved drug labeling information. **Fields:** - `drug_names` — Brand names - `generic_name` — Generic drug name - `active_ingredients` — Active ingredients - `manufacturer` — Drug manufacturer - `indications` — Approved uses - `warnings` — Safety warnings - `adverse_reactions_label` — Listed adverse reactions - `dosage` — Dosage information - `contraindications` — When NOT to use - `drug_interactions` — Drug-drug interactions - `route` — Administration route (oral, injection, etc.) #### 3. Recalls Drug recalls and enforcement actions. **Fields:** - `report_id` — Recall number - `drug_names` — Recalled drug names - `recall_class` — Class I (dangerous), II (harmful), III (unlikely to cause harm) - `recall_reason` — Why the drug was recalled - `recall_status` — Ongoing, Completed, Terminated - `recall_date` — Date of recall - `manufacturer` — Recalling firm - `country`, `city`, `state` — Location ### Example Usage **All aspirin adverse events:** ```json {"dataType": "adverse_events", "drugName": "aspirin", "maxResults": "100"} ```` **Serious metformin events in 2024:** ```json {"dataType": "adverse_events", "drugName": "metformin", "seriousOnly": true, "dateFrom": "2024-01-01", "maxResults": "200"} ``` **Drug recall information:** ```json {"dataType": "recalls", "maxResults": "100"} ``` ### Data Source - **openFDA API** — Official U.S. Food and Drug Administration data - Free, public API with no authentication required - 240 requests/minute without API key, 120,000/day with free key - 5 million+ adverse event reports (2004-present) - Updated regularly ### Pricing $5 per 1,000 results. # Actor input Schema ## `dataType` (type: `string`): Which FDA data to extract. ## `drugName` (type: `string`): Search by drug brand name (e.g., 'aspirin', 'metformin', 'lisinopril'). Leave blank for all drugs. ## `maxResults` (type: `string`): Maximum number of records to return. ## `seriousOnly` (type: `boolean`): Only return serious adverse events (hospitalization, death, disability, etc.). ## `dateFrom` (type: `string`): Filter reports received from this date (YYYY-MM-DD). Leave blank for all dates. ## `dateTo` (type: `string`): Filter reports received until this date (YYYY-MM-DD). Leave blank for current date. ## `apiKey` (type: `string`): Your openFDA API key for higher rate limits. Get free key at https://open.fda.gov/apis/authentication/. Leave blank for DEMO (240 req/min). ## Actor input object example ```json { "dataType": "adverse_events", "drugName": "", "maxResults": "100", "seriousOnly": false, "dateFrom": "", "dateTo": "", "apiKey": "" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "dataType": "adverse_events", "drugName": "", "maxResults": "100", "seriousOnly": false, "dateFrom": "", "dateTo": "", "apiKey": "" }; // Run the Actor and wait for it to finish const run = await client.actor("commanding_hotdog/fda-drug-safety-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "dataType": "adverse_events", "drugName": "", "maxResults": "100", "seriousOnly": False, "dateFrom": "", "dateTo": "", "apiKey": "", } # Run the Actor and wait for it to finish run = client.actor("commanding_hotdog/fda-drug-safety-scraper").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 '{ "dataType": "adverse_events", "drugName": "", "maxResults": "100", "seriousOnly": false, "dateFrom": "", "dateTo": "", "apiKey": "" }' | apify call commanding_hotdog/fda-drug-safety-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commanding_hotdog/fda-drug-safety-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FDA Drug Safety Scraper — Adverse Events, Labels, Recalls", "description": "Extract drug safety data from openFDA — 5M+ adverse events, drug labels, recalls. 20+ fields. Free API, no auth. Pharmaceutical research, drug safety monitoring, FAERS data analysis.", "version": "1.0", "x-build-id": "AdnOsvPusB0Mjsx2P" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commanding_hotdog~fda-drug-safety-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commanding_hotdog-fda-drug-safety-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commanding_hotdog~fda-drug-safety-scraper/runs": { "post": { "operationId": "runs-sync-commanding_hotdog-fda-drug-safety-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commanding_hotdog~fda-drug-safety-scraper/run-sync": { "post": { "operationId": "run-sync-commanding_hotdog-fda-drug-safety-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "dataType": { "title": "Data Type", "enum": [ "adverse_events", "drug_labels", "recalls" ], "type": "string", "description": "Which FDA data to extract.", "default": "adverse_events" }, "drugName": { "title": "Drug Name", "type": "string", "description": "Search by drug brand name (e.g., 'aspirin', 'metformin', 'lisinopril'). Leave blank for all drugs.", "default": "" }, "maxResults": { "title": "Maximum Results", "enum": [ "50", "100", "200", "500", "1000", "5000" ], "type": "string", "description": "Maximum number of records to return.", "default": "100" }, "seriousOnly": { "title": "Serious Events Only", "type": "boolean", "description": "Only return serious adverse events (hospitalization, death, disability, etc.).", "default": false }, "dateFrom": { "title": "Date From", "type": "string", "description": "Filter reports received from this date (YYYY-MM-DD). Leave blank for all dates.", "default": "" }, "dateTo": { "title": "Date To", "type": "string", "description": "Filter reports received until this date (YYYY-MM-DD). Leave blank for current date.", "default": "" }, "apiKey": { "title": "openFDA API Key (Optional)", "type": "string", "description": "Your openFDA API key for higher rate limits. Get free key at https://open.fda.gov/apis/authentication/. Leave blank for DEMO (240 req/min).", "default": "" } } }, "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 } } } } } } } } } } ```