# USDA FSIS Meat & Poultry Recalls Scraper (USA) (`scrapers_lat/usda-fsis-recalls-scraper`) Actor

Scrape USDA FSIS meat, poultry and egg product recalls and public health alerts. Get recall number, hazard class (Class I/II/III), company, reason, states, products, quantity, status, contacts and press release URL. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/scrapers\_lat/usda-fsis-recalls-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.20 / 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

## USDA FSIS Meat & Poultry Recalls Scraper

> Scrape official **USDA FSIS** recalls and public health alerts for **meat, poultry and egg products** across the United States. Get the recall number, hazard class, recalling company, reason, affected states, products, quantity, status, contacts and the official notice URL — as structured JSON, CSV or Excel.

[![scrapers.lat](https://img.shields.io/badge/built%20by-scrapers.lat-blue)](https://scrapers.lat)

**📥 [Input](https://apify.com/scrapers_lat/usda-fsis-recalls-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/usda-fsis-recalls-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/usda-fsis-recalls-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/usda-fsis-recalls-scraper/examples)**

### What you get

This scraper returns the full USDA FSIS recall and public health alert record for meat, poultry and egg products — the food-safety data the FDA does **not** cover. Each result includes:

- **Recall number** and export/display number
- **Recall date** and last modified date
- **Hazard class** — Class I (highest), Class II, Class III, or Public Health Alert — plus a numeric `classLevel` and risk label
- **Status** — active (open) or closed, and whether it is linked to a foodborne illness outbreak
- **Recalling company / establishment** and establishment numbers
- **Company contacts** — contact person, phone and email where published
- **Reason** — for example Listeria, E. coli, Salmonella, undeclared allergen, foreign material, misbranding, import violation
- **Products** — full product item list and a joined description
- **Distribution** — affected states, a nationwide flag, and quantity recovered
- **Processing categories**, label and product-list PDF references
- **Plain-text summary** and the **official press release / notice URL**

Use the filters to narrow by hazard class, reason/keyword, company, state, year, status, recall number, or date range. One run can pull the latest notices or a full historical slice.

### Who is it for

- **Food safety, QA and compliance teams** monitoring supplier and category recalls
- **Retailers, distributors and importers** tracking affected products and states
- **Insurers, legal and risk analysts** building recall and outbreak datasets
- **Journalists and researchers** following meat, poultry and egg safety

It pairs naturally with our [openFDA Food Recall & Enforcement Scraper](https://apify.com/scrapers_lat/openfda-food-recalls-scraper) to cover **both** US food-safety agencies (FDA + USDA FSIS) in one pipeline.

### How to use it

1. Click **Try for free**.
2. Optionally set filters — hazard class, reason/keyword, company, state, year, status or a date range. Leave them empty to pull the most recent recalls.
3. Set **Max Recalls** and run.
4. Export to **JSON, CSV or Excel**, or pull results via the Apify API.

### FAQ

**Which products does this cover?** Meat, poultry and egg products regulated by USDA FSIS — a different agency and product scope than the FDA.

**Are contacts included?** Yes, when the notice publishes them: company contact person, phone and email.

**Do you charge for empty runs?** No. You only pay per real recall record returned — never for empty or failed runs.

**How fresh is it?** It reads the live official recall feed each run, including the newest active notices and public health alerts.

### Related scrapers

Need data from the same space? Here are other scrapers we build and maintain:

- [openFDA Food Recall & Enforcement Scraper](https://apify.com/scrapers_lat/openfda-food-recalls-scraper): FDA food recalls — recall number, hazard class, product, reason, firm, state and dates.
- [CPSC Product Recalls Scraper](https://apify.com/scrapers_lat/cpsc-recalls-scraper): US consumer product recalls with hazard, remedy and affected units.
- [NHTSA Vehicle Recalls Scraper](https://apify.com/scrapers_lat/nhtsa-recalls-scraper): US vehicle and equipment recalls by make, model and year.

### Why teams choose this scraper

- **You are never charged for empty or failed runs** — you only pay for data you actually receive.
- **Maintained and monitored** — if the source changes, we fix it fast.
- **Clean, flat output** — one record per result, ready for your CRM, spreadsheet or database.

If this scraper saves you time, a quick ⭐ review on Apify helps other people find it and helps us keep improving it.

### More scrapers at scrapers.lat

This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).

***

> This actor is an independent tool and has no affiliation with the USDA or FSIS. It only accesses recall and public health alert information that USDA FSIS publishes publicly. Use it in accordance with the source's terms of use.

# Actor input Schema

## `maxRecalls` (type: `integer`):

Maximum number of recall / public health alert records to collect. Free Apify plans are capped at 10 per run.

## `recallClasses` (type: `array`):

Filter by hazard class. Class I is the most serious (health hazard). Leave empty for all classes and alerts.

## `reasonKeywords` (type: `array`):

Match recall reason, product or summary text, for example listeria, E. coli, salmonella, undeclared allergen, foreign material, misbranding. Any match is returned.

## `companies` (type: `array`):

Filter by recalling company or establishment name, for example Tyson, Cargill, BrucePac.

## `states` (type: `array`):

Filter by distribution state, for example California, Texas, or Nationwide.

## `years` (type: `array`):

Filter by recall year, for example 2026, 2025.

## `status` (type: `string`):

Active (open) or closed recalls. Leave as Any for all.

## `recallNumber` (type: `string`):

Fetch a single recall by its FSIS recall number, for example 014-2026 or PHA-08082026-01.

## `dateFrom` (type: `string`):

Only recalls on or after this date (YYYY-MM-DD).

## `dateTo` (type: `string`):

Only recalls on or before this date (YYYY-MM-DD).

## Actor input object example

```json
{
  "maxRecalls": 50,
  "reasonKeywords": [],
  "companies": [],
  "states": [],
  "years": [],
  "status": ""
}
```

# 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 = {
    "maxRecalls": 50,
    "reasonKeywords": [],
    "companies": [],
    "states": [],
    "years": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/usda-fsis-recalls-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 = {
    "maxRecalls": 50,
    "reasonKeywords": [],
    "companies": [],
    "states": [],
    "years": [],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/usda-fsis-recalls-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 '{
  "maxRecalls": 50,
  "reasonKeywords": [],
  "companies": [],
  "states": [],
  "years": []
}' |
apify call scrapers_lat/usda-fsis-recalls-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapers_lat/usda-fsis-recalls-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/SjxMhbNGo0L5tfeb0/builds/YJx3zMAENuCNEhjNA/openapi.json