# FDA Warning Letter Scraper (`moving_beacon-owner1/fda-warning-letter-scraper`) Actor

Scrapes FDA Warning Letters using the official Drupal DataTables JSON endpoint that powers the search table, providing clean, paginated results newest first. Supports keyword, issuing office, and date filters, with no authentication required and raw source data preserved.

- **URL**: https://apify.com/moving\_beacon-owner1/fda-warning-letter-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.99 / 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/actors/running/actors-in-store.md#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

## FDA Warning Letter Scraper

Scrapes FDA warning letters from the official fda.gov Warning Letters search page. Instead of parsing HTML pages, it that powers the search table, so it gets clean, paginated data — newest posted letters first. No authentication required. calls the Drupal DataTables JSON endpoint

### Input

| Field | Default | Description |
|---|---|---|
| `keyword` | `""` | Full-text filter (company name, subject, letter text), applied server-side. |
| `issuing_office` | `""` | Filter by issuing office, e.g. `Center for Tobacco Products`. |
| `posted_after` | `""` | Only letters posted on/after this date (`YYYY-MM-DD`); stops paging early. |
| `limit` | `100` | Max records to return (1–5000). |

### Output

```json
{
    "posted_date": "2026-08-04",
    "letter_issue_date": "2026-07-15",
    "company_name": "AAL Trading Inc.",
    "issuing_office": "Office of Inspections and Investigations",
    "subject": "Foreign Supplier Verification Program (FSVP)",
    "letter_url": "https://www.fda.gov/inspections-compliance-enforcement-and-criminal-investigations/warning-letters/aal-trading-inc-732493-07152026",
    "raw": ["<time ...>08/04/2026</time>", "..."]
}
```

# Actor input Schema

## `keyword` (type: `string`):

Full-text search across letters (company name, subject, letter text). Applied server-side via the FDA search index. Leave empty for all letters.

## `issuing_office` (type: `string`):

Filter by issuing office, e.g. 'Center for Tobacco Products' or 'Center for Drug Evaluation and Research'. Partial text works. Leave empty for all offices.

## `posted_after` (type: `string`):

Only return letters posted on or after this date (YYYY-MM-DD). Applied client-side while paging newest-first, so scraping stops early once older letters are reached. Leave empty for no date cutoff.

## `limit` (type: `integer`):

Maximum number of warning-letter records to return.

## Actor input object example

```json
{
  "keyword": "",
  "issuing_office": "",
  "posted_after": "",
  "limit": 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 = {
    "keyword": "",
    "issuing_office": "",
    "posted_after": "",
    "limit": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/fda-warning-letter-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 = {
    "keyword": "",
    "issuing_office": "",
    "posted_after": "",
    "limit": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/fda-warning-letter-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 '{
  "keyword": "",
  "issuing_office": "",
  "posted_after": "",
  "limit": 100
}' |
apify call moving_beacon-owner1/fda-warning-letter-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/fda-warning-letter-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/4BDIuodxkUJeOvOeF/builds/1LxPKggtKXWt2cM5v/openapi.json