# openFDA Drug Labels Scraper (`neuton/openfda-drug-labels-scraper`) Actor

Extract official FDA drug labeling records, warnings, indications, dosage text, manufacturers, product NDCs, and SPL identifiers.

- **URL**: https://apify.com/neuton/openfda-drug-labels-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 Labels Scraper

Extract official FDA structured product labeling records from openFDA. This actor is designed for drug label research, safety monitoring, healthcare compliance, medical content workflows, and pharmaceutical data enrichment.

### Why this actor

Drug label data is commercially useful for pharma intelligence, medical content teams, health-tech products, pharmacovigilance workflows, clinical reference enrichment, and regulated AI/RAG applications. openFDA exposes rich structured labeling, but teams still need repeatable extraction and clean rows for downstream review, search, and monitoring.

SEO keywords covered by this Store page include openFDA drug labels scraper, FDA drug label API, SPL label data, drug warnings dataset, indications and dosage scraper, NDC label data, pharmaceutical label intelligence, and medical content enrichment.

### Output

- SPL set ID, SPL ID, effective time, version, brand names, generic names, and manufacturer names
- Product NDCs, routes, warnings, indications and usage, dosage text, active ingredients, and inactive ingredients
- Source URL, raw FDA payload, and scrape timestamp

### Use cases

- Track FDA label content for marketed drugs
- Enrich drug databases with warnings, indications, dosage, and manufacturer fields
- Support pharmacovigilance, compliance, and healthcare analytics workflows
- Feed AI agents with official FDA label text and identifiers
- Monitor label changes for watched brands, manufacturers, or generic names

### Example input

```json
{
  "brandNames": ["Advil"],
  "genericNames": ["ibuprofen"],
  "manufacturerNames": ["Pfizer"],
  "maxResultsPerSearch": 25
}
```

### Agent and automation workflows

Push output into Airtable, a warehouse, vector search, Make, n8n, or medical-content systems. Agents can summarize warnings, compare indications, extract dosage sections, or link product NDCs to internal drug catalogs.

### Responsible use

This actor extracts public FDA/openFDA labeling data for research, enrichment, and monitoring. Do not use the output as medical advice. Verify clinical, regulatory, or patient-facing decisions against authoritative FDA materials and qualified review.

### Pricing

Recommended launch pricing: $2-$3 per 1,000 label rows, increasing toward $4-$6 per 1,000 after recurring pharma or medical-content usage appears.

# Actor input Schema

## `brandName` (type: `string`):

Brand name keyword, for example aspirin, Ozempic, or Tylenol.

## `genericName` (type: `string`):

Optional generic name keyword.

## `manufacturerName` (type: `string`):

Optional manufacturer keyword.

## `maxResults` (type: `integer`):

Maximum number of label records to return.

## Actor input object example

```json
{
  "brandName": "aspirin",
  "genericName": "",
  "manufacturerName": "",
  "maxResults": 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 '<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-labels-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-labels-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-labels-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/openfda-drug-labels-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/qWPqIP12kfFEmyEVa/builds/fHTIQxWYDjGL3gJXb/openapi.json