CPSC Product Recalls Scraper

CPSC Product Recalls Scraper pulls structured data from CPSC saferproducts.gov and returns it as a clean dataset you can export as JSON, CSV or Excel. It queries the CPSC saferproducts.gov recall web service and returns one row per US consumer-product recall, with the hazard, remedy, recalled product, unit count, injuries, retailer, manufacturer country, image and dates. Useful for product-safety monitoring, retail compliance and recall alerting.

No API key, no login. Click Start and it works with the prefilled input.

What does CPSC Product Recalls Scraper do?

It queries CPSC saferproducts.gov and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• CPSC saferproducts.gov data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
recallStartDate	string	"2025-01-01"	Earliest recall date to include, in YYYY-MM-DD format (e.g. 2025-01-01).
maxResults	integer	20	Maximum number of CPSC recall records to return.

Example input:

{
  "recallStartDate": "2025-01-01",
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "recall_number": "26789",
  "recall_id": "10992",
  "title": "5Color Recalls Childrens Bicycle Helmet and Pads Sets",
  "recall_date": "2026-09-24T00:00:00",
  "last_publish_date": "2026-09-24T00:00:00",
  "hazard": "The helmets violate the mandatory safety standard for bicycle helmets."
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
recall_number	string	Recall Number
recall_id	string	Recall ID
title	string	Title
recall_date	string	Recall Date
last_publish_date	string	Last Published
hazard	string	Hazard
remedy	string	Remedy
remedy_option	string	Remedy Option
product_name	string	Product
product_units	string	Units
injuries	string	Injuries
retailer	string	Retailer
manufacturer_country	string	Manufacturer Country
consumer_contact	string	Consumer Contact
description	string	Description
image_url	string	Image
url	string	Recall Page

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from CPSC saferproducts.gov. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Use an earlier recall start date such as 2020-01-01 to widen the recall window.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.