# openFDA Food Enforcement Reports Scraper (`neuton/openfda-food-enforcement-reports-scraper`) Actor

Extract FDA food recall enforcement reports from openFDA for food safety monitoring, retail compliance, and supplier risk research.

- **URL**: https://apify.com/neuton/openfda-food-enforcement-reports-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

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Food Enforcement Reports Scraper

Extract FDA food recall enforcement reports from the official openFDA API. Use it for food safety monitoring, retail compliance, supplier risk, grocery catalog checks, and recall intelligence workflows.

### What You Can Extract

- Recall number, report date, initiation date, classification, and status
- Product description and reason for recall
- Recalling firm, city, state, country, and distribution pattern
- Voluntary/mandated recall status
- Raw openFDA payload for auditability

### Common Use Cases

- Monitor food recalls by keyword, date range, or recall class
- Track supplier and brand recall risk
- Build grocery, restaurant, and food-delivery compliance dashboards
- Feed food safety data into internal risk systems or AI agents

### SEO Keywords

FDA food recall scraper, openFDA food enforcement API, food recall data, food safety compliance scraper, grocery recall monitor, supplier risk food recalls.

### Example Input

```json
{
  "searchTerm": "salmonella",
  "classification": "",
  "startDate": "2026-01-01",
  "endDate": "2026-07-20",
  "maxResults": 100
}
```

### Pricing Recommendation

Launch at $2-$3 per 1,000 recall rows. Raise toward $4-$5 per 1,000 rows if food safety or retail-monitoring usage becomes recurring.

# Actor input Schema

## `searchTerm` (type: `string`):

Optional keyword to search across food enforcement records.

## `classification` (type: `string`):

Optional recall class, such as Class I, Class II, or Class III.

## `startDate` (type: `string`):

Earliest report date in YYYY-MM-DD format.

## `endDate` (type: `string`):

Latest report date in YYYY-MM-DD format.

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

Maximum enforcement rows to return.

## Actor input object example

```json
{
  "searchTerm": "salmonella",
  "classification": "",
  "startDate": "2026-01-01",
  "endDate": "2026-07-20",
  "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-food-enforcement-reports-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-food-enforcement-reports-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 '{}' |
apify call neuton/openfda-food-enforcement-reports-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ICvC01lm5qfi2ROoQ/builds/J4ANdfeSGMYIlWpi7/openapi.json