# openFDA Drug Adverse Events Scraper (`neuton/openfda-drug-adverse-events-scraper`) Actor

Search FDA FAERS drug adverse event reports through openFDA by drug name, reaction, country, seriousness, or report date. Export safety report IDs, drugs, reactions, outcomes, dates, and demographics.

- **URL**: https://apify.com/neuton/openfda-drug-adverse-events-scraper.md
- **Developed by:** [Ashwin Prasad](https://apify.com/neuton) (community)
- **Categories:** Business, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 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.

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 Drug Adverse Events Scraper

Search FDA FAERS adverse drug event reports through openFDA for pharmacovigilance, health-tech monitoring, drug safety research, competitive intelligence, and regulatory workflows.

### Why this actor

Drug adverse-event data is valuable to pharmacovigilance teams, health-tech companies, researchers, consultants, investors, and regulatory intelligence workflows. This actor uses the public openFDA FAERS endpoint and supports optional openFDA API keys for heavier production runs, making it suitable for both exploratory safety checks and scheduled monitoring.

SEO keywords covered by this Store page include openFDA adverse events scraper, FAERS drug safety data, FDA adverse event reports API, pharmacovigilance scraper, drug reaction dataset, medication safety monitoring, and regulatory intelligence data.

### Output

- Safety report ID, received date, country, seriousness flag
- Patient age and sex when published
- Medicinal products, reactions, and outcomes
- Primary-source qualification and raw official FAERS record

### Use cases

- Monitor public adverse-event reports for watched drugs or active ingredients.
- Build pharmacovigilance, market-safety, or regulatory research workflows.
- Compare reactions, outcomes, seriousness, country, and report dates across searches.
- Feed AI agents with source-linked FAERS rows for safety summaries.
- Enrich internal dashboards with official public adverse-event records.

### Example input

```json
{
  "drugNames": [
    "aspirin"
  ],
  "maxResultsPerSearch": 5
}
```

### Agent and automation workflows

Schedule this actor for monitored products, push rows to a warehouse or Airtable, and let agents summarize new reactions, seriousness patterns, geographic changes, or emerging safety themes. It pairs well with openFDA drug recalls, drug labels, NDC directory, and drug shortage actors.

### Responsible use

This actor extracts public FDA/openFDA data for research and monitoring. FAERS reports are not proof of causation and may be incomplete, duplicated, or unverified. Do not use the output as medical advice; verify clinical, regulatory, or safety decisions against authoritative FDA materials and expert review.

### Pricing

Launch around $3 per 1,000 adverse-event rows. Keep a small free allowance for testing, then raise pricing if recurring pharmacovigilance or regulated-data usage appears.

# Actor input Schema

## `drugNames` (type: `array`):

Medicinal product names such as aspirin, metformin, ozempic.

## `reactions` (type: `array`):

Reaction terms such as headache, fatigue, nausea.

## `countryCodes` (type: `array`):

Optional occurrence country codes such as US, CA, GB.

## `receivedDateFrom` (type: `string`):

Optional YYYYMMDD lower bound for receivedate.

## `receivedDateTo` (type: `string`):

Optional YYYYMMDD upper bound for receivedate.

## `maxResultsPerSearch` (type: `integer`):

Maximum adverse event rows per search.

## `openFdaApiKey` (type: `string`):

Optional API key for higher openFDA rate limits.

## Actor input object example

```json
{
  "maxResultsPerSearch": 50
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("neuton/openfda-drug-adverse-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("neuton/openfda-drug-adverse-events-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 neuton/openfda-drug-adverse-events-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/openfda-drug-adverse-events-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Ak8RPm9A3vFOkeUs2/builds/h9gxryeJPLZuVl2hw/openapi.json