# openFDA Medical Device Events Scraper (`scrapers_lat/openfda-device-events-scraper`) Actor
Scrape FDA medical device adverse events (MAUDE), device recalls and 510(k) clearances from the official openFDA API. Search by device, firm or date. Export to JSON, CSV, Excel.
- **URL**: https://apify.com/scrapers\_lat/openfda-device-events-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Automation, Developer tools
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $8.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
[](https://console.apify.com/actors/sTk9Oq3SU8Jxwjg4K/input)
## openFDA Medical Device Events Scraper
> Extract FDA medical device adverse events (MAUDE), device recalls and 510(k) clearances from the official openFDA API
3 datasets events, recalls, 510(k)
United States coverage
JSON / CSV / Excel output formats
Updated 2026-06-23
### What you get
Each record is one MAUDE device adverse event, one device recall or one 510(k) clearance from openFDA, flattened into clean columns.
Adverse Events (MAUDE) fields:
- **reportNumber**: FDA report number
- **mdrReportKey**: internal MDR report key
- **eventType**: event type (malfunction, injury, death)
- **dateOfEvent**: date the event occurred
- **dateReceived**: date the FDA received the report
- **deviceBrandName**: device brand name
- **deviceGenericName**: device generic name
- **manufacturerName**: device manufacturer
- **manufacturerStreet**: manufacturer street address
- **manufacturerCity**, **manufacturerState**, **manufacturerZip**, **manufacturerCountry**: manufacturer location
- **regulationNumber**: the CFR regulation number the device falls under
- **modelNumber**, **catalogNumber**, **lotNumber**: device identifiers
- **deviceClass**: FDA device class
- **medicalSpecialty**: medical specialty area
- **productCode**: device product code
- **implant**: whether the device is an implant
- **productProblems**: list of reported product problems
- **patientOutcomes**: list of patient outcomes recorded
- **reporterOccupation**: occupation of the reporter
- **sourceType**: report source type
- **eventLocation**: where the event took place
- **mdrText**: the narrative description of the event
- **observedAt**: when this record was collected by the scraper
Recalls fields:
- **recallNumber**, **status**, **productDescription**, **reasonForRecall**, **rootCause**: recall identity and cause
- **recallingFirm**, **city**, **state**, **postalCode**: firm location
- **productCode**, **kNumbers**, **firmFeiNumber**: device and firm identifiers
- **action**, **productQuantity**, **distributionPattern**, **codeInfo**: recall scope
- **eventDateInitiated**, **eventDatePosted**, **eventDateTerminated**: recall timeline
- **deviceName**, **deviceClass**, **medicalSpecialty**, **cfresId**: device classification
510(k) Clearances fields:
- **kNumber**, **deviceName**, **applicant**: clearance identity
- **clearanceType**, **decisionDescription**, **decisionDate**, **dateReceived**: clearance decision
- **productCode**, **advisoryCommittee**, **deviceClass**, **medicalSpecialty**: classification
- **city**, **state**, **country**, **postalCode**, **contact**: applicant details
- **thirdPartyReview**, **expeditedReview**, **statementOrSummary**: review flags
- **observedAt**: when this record was collected by the scraper
### Who is it for
| Use case | Who benefits |
|---|---|
| Device safety surveillance and signal detection | Device safety and post-market teams |
| Tracking recalls for a manufacturer or device | Quality and compliance teams |
| Monitoring 510(k) clearances by competitors | Regulatory affairs and strategy teams |
| Building device incident datasets for research | Health data scientists |
| Feeding device intelligence into dashboards | Data engineers |
### Frequently Asked Questions
**What datasets does this scraper cover?**
It covers three openFDA device datasets for the United States: MAUDE adverse events (malfunction, injury and death reports), the device recall database, and the 510(k) premarket clearance database. Choose one with the Dataset input.
**How many records can I pull in one run?**
openFDA paginates with a skip offset up to 25000 records per query. For larger pulls, narrow the search keyword or the date range so each run stays under that ceiling.
**How does the search work?**
A simple keyword is matched to the device brand name for events, the product description for recalls, or the device name for 510(k). You can also paste a raw openFDA expression with a field, such as manufacturer_name:Medtronic or event_type:Death.
**Can I filter by date?**
Yes. Date From and Date To accept YYYY-MM-DD. For events this filters the FDA date received, for recalls the date initiated, and for 510(k) the decision date.
**What happens to missing fields?**
MAUDE reports vary in completeness, so fields openFDA does not provide for a record are returned as null. The scraper never invents values.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [SEC EDGAR Company Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-filings-scraper): Scrape SEC EDGAR company filings by ticker or CIK. Get form type, filing date, accession number...
- [USAspending Federal Award Scraper](https://apify.com/scrapers_lat/usaspending-awards-scraper): Scrape US federal prime awards from USAspending.gov. Get recipient, UEI, award amount, awarding...
- [openFDA Drug Events & Recalls Scraper](https://apify.com/scrapers_lat/openfda-drug-events-scraper): Scrape FDA drug adverse event reports (FAERS) and drug recall and enforcement actions from the...
- [Grants.gov Opportunity Scraper](https://apify.com/scrapers_lat/grants-gov-scraper): Extract U.S. federal grant opportunities from the official Grants.gov API. Scrape title, agency...
- [NPPES NPI Provider Scraper](https://apify.com/scrapers_lat/nppes-npi-scraper): Scrape US healthcare provider records from the official NPPES NPI Registry. Search by name...
- [BizQuest Businesses-for-Sale Listings Scraper](https://apify.com/scrapers_lat/bizquest-scraper): Extract US businesses-for-sale listings from BizQuest with the broker or seller contact (name...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with the FDA or openFDA. It only accesses data that is publicly available through the open FDA API. Use it in accordance with the openFDA terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of records to collect. Optional. openFDA paginates with skip up to 25000, so for very large pulls narrow the search or date range.
## `dataset` (type: `string`):
Which openFDA device dataset to pull. Adverse Events is the MAUDE database of device malfunction and injury reports. Recalls is the device recall database. 510(k) is the premarket clearance database.
## `searchQuery` (type: `string`):
A simple keyword (matched to the device brand name for events, the product description for recalls, or the device name for 510k), or a raw openFDA search expression containing a field, for example manufacturer_name:Medtronic or event_type:Death. Leave empty to pull the most recent records.
## `dateFrom` (type: `string`):
Only include records on or after this date (YYYY-MM-DD). For events this filters the FDA date received, for recalls the date initiated, for 510k the decision date.
## `dateTo` (type: `string`):
Only include records on or before this date (YYYY-MM-DD).
## `proxyConfiguration` (type: `object`):
Optional. openFDA is a public, open API and does not require a proxy. Leave disabled unless you specifically need to route requests through a proxy.
## Actor input object example
```json
{
"maxItems": 50,
"dataset": "event",
"searchQuery": "insulin pump",
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# 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 = {
"maxItems": 50,
"searchQuery": "insulin pump"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/openfda-device-events-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 = {
"maxItems": 50,
"searchQuery": "insulin pump",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/openfda-device-events-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 '{
"maxItems": 50,
"searchQuery": "insulin pump"
}' |
apify call scrapers_lat/openfda-device-events-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/openfda-device-events-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "openFDA Medical Device Events Scraper",
"description": "Scrape FDA medical device adverse events (MAUDE), device recalls and 510(k) clearances from the official openFDA API. Search by device, firm or date. Export to JSON, CSV, Excel.",
"version": "0.1",
"x-build-id": "xvOSqv5bbSfNNXFu6"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~openfda-device-events-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-openfda-device-events-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~openfda-device-events-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-openfda-device-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~openfda-device-events-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-openfda-device-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of records to collect. Optional. openFDA paginates with skip up to 25000, so for very large pulls narrow the search or date range."
},
"dataset": {
"title": "Dataset",
"enum": [
"event",
"recall",
"510k"
],
"type": "string",
"description": "Which openFDA device dataset to pull. Adverse Events is the MAUDE database of device malfunction and injury reports. Recalls is the device recall database. 510(k) is the premarket clearance database.",
"default": "event"
},
"searchQuery": {
"title": "Search Query",
"type": "string",
"description": "A simple keyword (matched to the device brand name for events, the product description for recalls, or the device name for 510k), or a raw openFDA search expression containing a field, for example manufacturer_name:Medtronic or event_type:Death. Leave empty to pull the most recent records."
},
"dateFrom": {
"title": "Date From",
"type": "string",
"description": "Only include records on or after this date (YYYY-MM-DD). For events this filters the FDA date received, for recalls the date initiated, for 510k the decision date."
},
"dateTo": {
"title": "Date To",
"type": "string",
"description": "Only include records on or before this date (YYYY-MM-DD)."
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Optional. openFDA is a public, open API and does not require a proxy. Leave disabled unless you specifically need to route requests through a proxy.",
"default": {
"useApifyProxy": false
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```