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

Find public records from Openfda Drug Labels with identifiers, dates, parties, descriptions, status flags and direct links to source filings. Designed for compliance, government affairs, due diligence and policy research. Run on demand or on a recurring schedule and feed every row into your favou.

- **URL**: https://apify.com/parseforge/openfda-drug-labels-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Other, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 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 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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 💊 openFDA Drug Labels Scraper

> 🚀 **Pull FDA drug label records via openFDA.** Open as tabular records, or tabular.

This Apify Actor queries openFDA (api.fda.gov) and returns structured records ready to plug into BI tools, CRMs, or downstream pipelines.

### Target Audience / Use Cases

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Pharma teams | Label research |
| Regulatory | Compliance |
| Healthcare | Drug info |

### 📋 What this scraper does

- Real-time queries against openFDA (api.fda.gov)
- Structured output with 12+ fields per record
- Filter and search options
- Pull to tabular records
- No login or API key required

> 💡 **Why it matters:** structured access unlocks analytical workflows that manual UI browsing cannot reach.

### 📊 Data fields

Each record includes: `id`, `results`, `scrapedAt`, `sourceUrl`, `title`. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

> ⚠️ **Good to Know:** results reflect the live source at scrape time.

### 🚀 How to use

1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open the Actor input panel
3. Configure `maxItems` and filters
4. Click **Start**
5. Open dataset (tabular / spreadsheet / tabular / tabular)

### 🔗 Recommended Actors

| Actor | What it does |
|---|---|
| [OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database |
| [GLEIF LEI Scraper](https://apify.com/parseforge) | Global legal entity identifiers |
| [SEC EDGAR Scraper](https://apify.com/parseforge) | US public-company filings |

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more public-data scrapers.

*Disclaimer: this Actor only accesses publicly available data and respects target sites. Use responsibly.*

### 🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our [contact form](https://tally.so/r/BzdKgA) or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our [Discord](https://parseforge.co/discord). It's the best place to get support and suggest new actors.

# Actor input Schema

## `maxItems` (type: `integer`):

Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000

## `searchQuery` (type: `string`):

openFDA search expression (e.g. openfda.brand\_name:tylenol).

## Actor input object example

```json
{
  "maxItems": 10,
  "searchQuery": ""
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped openFDA Drug Labels Scraper records

# 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 = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/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 = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/openfda-drug-labels-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": 10
}' |
apify call parseforge/openfda-drug-labels-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/openfda-drug-labels-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OE6fVVJIZxzyKvHA6/builds/ovX8gljNfkVE1cXWL/openapi.json