FDA Food Recall & Safety Enforcement Reports Radar

What can FDA Food Recall & Safety Enforcement Reports Radar do?

FDA Food Recall & Safety Enforcement Reports Radar extracts public data from the US Food and Drug Administration (openFDA) in an automated, lightweight scraper. Retrieve structured records, identifiers, status metrics, and metadata in seconds without managing proxies or scraping infrastructure.

📦 What you can extract	⚙️ Features & integrations
⚠️ Recall Classification: Class I (high risk), Class II, or Class III severity 🥫 Product Description: Product brand name, packaging size, lot numbers 🏢 Recalling Firm: Distributing company name, city, state, country 📝 Reason for Recall: Official contamination details, allergen omission, defect cause ⏱️ Timestamps: Recall initiation date, report date, termination date	⚡ Zero proxies required: Direct, fast cloud execution 📅 Scheduling & automation: Run hourly, daily, or on-demand ⬇️ Multi-format export: Download JSON, CSV, Excel, or XML 🦾 API & SDK ready: Native Python and Node.js SDK integrations 🤖 AI & LLM friendly: Clean structured data for Claude, GPT, and agents

How much will scraping cost?

This Actor uses a transparent Pay-Per-Event (PPE) pricing model:

• Only $1.00 per 1,000 results ($0.0010 per record).
• Free Monthly Tier: Apify provides $5 in free usage credits every month, allowing you to scrape up to 5,000 records completely free each month.
• No recurring monthly subscriptions, no proxy fees, and no charge for runs that return 0 results.

How do I use FDA Food Recall & Safety Enforcement Reports Radar?

1. Create an account: Sign up for free at console.apify.com.
2. Open the Actor: Navigate to FDA Food Recall & Safety Enforcement Reports Radar in the Apify Store or Console.
3. Configure parameters: Enter your target search filters or leave the default settings to test.
4. Click Start: Hit Save & Start and watch live logs as records are extracted.
5. Download your data: Export in JSON, CSV, or Excel, or consume via the Apify API.

⬇️ Input Parameters

Configure extraction using the following input fields:

Parameter	Type	Default	Description
search	string	contamination	Search term for food recalls (e.g., contamination, listeria, salmonella, peanut, organic). Leave empty for latest.
limit	integer	20	Number of enforcement reports to retrieve (5 - 50).

⬆️ Output & Sample Dataset

Extracted items are stored in your default dataset. Here is an example of the clean JSON record structure:

[
  {
    "recallNumber": "F-1234-2024",
    "productDescription": "Organic Baby Spinach 16 oz Clamshell, Lot 4091",
    "recallingFirm": "Fresh Valley Produce Inc.",
    "classification": "Class I",
    "status": "Ongoing",
    "reasonForRecall": "Potential contamination with Listeria monocytogenes",
    "distributionPattern": "Nationwide distribution across retail grocery stores",
    "reportDate": "2024-06-15",
    "extractedAt": "2026-11-04T08:00:00.000Z"
  }
]

💼 What can you do with this data?

• Supply Chain Risk Monitoring: Detect supplier product recalls and contamination events early.
• Grocery & Retail Compliance: Automate immediate removal of recalled food lots from inventory.
• Consumer Health Apps: Alert users to nationwide allergy alerts and tainted food recalls.
• Legal & Regulatory Research: Analyze food safety violation frequency across food manufacturers.

❓ Frequently Asked Questions

Do I need proxies to run this Actor?

No. This Actor connects directly to public data endpoints and does not require paid residential or datacenter proxies.

Can I schedule this Actor to run automatically?

Yes. Use the Schedules tab in Apify Console to run this Actor automatically every hour, daily, or on any custom cron schedule.

Can I integrate this scraper with Python or Node.js?

Yes. You can invoke this Actor and stream results directly using the official Apify Python SDK or Apify JavaScript/TypeScript SDK.

How can I export my data?

You can download your dataset at any time in JSON, CSV, Excel, XML, or HTML table directly from the Apify Console or via API.