# openFDA Medical Device Adverse Events & Recalls 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. Extract report number, device brand, manufacturer, event type, product problems and dates across the United States. Export to JSON, CSV or 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:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $6.15 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Medical Device Adverse Events & Recalls Scraper](https://scrapers.lat/banners/openfda-device-events-scraper.png)](https://console.apify.com/actors/sTk9Oq3SU8Jxwjg4K/input)

## openFDA Medical Device Adverse Events & Recalls Scraper

> Extract FDA medical device adverse events (MAUDE), device recalls and 510(k) clearances from the official openFDA API

**📥 [Input](https://apify.com/scrapers_lat/openfda-device-events-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/openfda-device-events-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/openfda-device-events-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples)**

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify\&logoColor=white)
![Coverage](https://img.shields.io/badge/Coverage-United%20States-blue)
![Maintained](https://img.shields.io/badge/Maintained-Yes-brightgreen)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)

<table><tr>
<td align="center"><strong>3 datasets</strong><br>events, recalls, 510(k)</td>
<td align="center"><strong>United States</strong><br>coverage</td>
<td align="center"><strong>JSON / CSV / Excel</strong><br>output formats</td>
</tr></table>

<br>

**Why teams choose this scraper:** the most complete openFDA device feed available. Every adverse event record carries the full report plus premium enrichment most tools drop: the manufacturer contact person (name and phone), the parent manufacturer, the FDA facility FEI and registration numbers for KYB matching, the device UDI codes, the device operator, remedial action and the linked recall/removal number, the manufacturer report type and reporting dates. Recalls and 510(k) clearances keep their full firm and clearance detail. Nothing is invented; fields the source omits come back null.

<br>

### 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.

### Example use cases

Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:

- [openFDA Breast Implant Recalls Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-breast-implant-recalls): Pull FDA breast implant recall records from openFDA, with product descriptions, recall reasons, classifications, recalling firms, and initiation dates.
- [openFDA Defibrillator AED Adverse Events Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-defibrillator-aed-adverse-events): Collect FDA MAUDE adverse event reports for defibrillators and AEDs, including device malfunctions, patient injuries, manufacturers, and report dates.
- [openFDA Hip Implant Adverse Events Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-hip-implant-adverse-events): Extract FDA MAUDE adverse event reports for hip implants and hip replacements, including malfunction and injury details, manufacturers, and event dates.
- [openFDA Infusion Pump Recalls Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-infusion-pump-recalls): Pull FDA infusion pump recall records from openFDA, with product descriptions, recall reasons, classifications, recalling firms, and initiation dates.
- [openFDA Knee Implant 510(k) Clearances Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-knee-implant-510k-clearances): Extract FDA 510(k) premarket clearance records for knee implants and knee devices, with device names, applicants, product codes, and decision dates.
- [openFDA Surgical Mesh Adverse Events Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-surgical-mesh-adverse-events): Collect FDA MAUDE adverse event reports for surgical mesh implants, including malfunction and injury details, manufacturers, and event received dates.
- [openFDA Ventilator Recalls Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-ventilator-recalls): Pull FDA ventilator recall records from openFDA, including product descriptions, recall reasons, classifications, recalling firms, and initiation dates.
- [Monitor Catheter Device Recalls](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-catheter-device-recalls): Monitor Catheter Device Recalls
- [Track Insulin Pump Adverse Events](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-insulin-pump-adverse-events): Track Insulin Pump Adverse Events
- [Collect Pacemaker 510(k) Clearances](https://apify.com/scrapers_lat/openfda-device-events-scraper/examples/openfda-pacemaker-510k-clearances): Collect Pacemaker 510(k) Clearances

### Export, API and AI agents (x402 + MCP)

Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.

For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).

### 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

## `maxRecords` (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).

## Actor input object example

```json
{
  "maxRecords": 50,
  "dataset": "event",
  "searchQuery": "insulin pump"
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxRecords": 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "maxRecords": 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 '{
  "maxRecords": 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/sTk9Oq3SU8Jxwjg4K/builds/nfXHqY0JbxtgJp1I2/openapi.json
