Track Children's Product Recalls with CPSC Data

Children’s product safety spans far more than toys. Cribs, bassinets, strollers, furniture, clothing, magnets, batteries, and sports equipment can all appear in CPSC recall notices. The CPSC Product Recalls Scraper lets a retailer or resale platform build a focused watchlist from the official feed.

Design category and hazard queries

Combine product-family searches such as stroller, crib, high chair, and toy with hazards relevant to the assortment, including choking, entrapment, fall, lead, and magnet. Run each as a separate query so the resulting row shows why it entered the watchlist. Brand queries add precision for suppliers currently carried by the business.

Normalize each notice into its products, companies, hazard, remedy, incident, injury, and image fields. Preserve recall ID as the primary key and retain the official URL. Use model numbers and distinctive descriptions for catalog matching; generic words like “toy” should open a review queue rather than trigger an automatic listing decision.

Historical coverage is especially important. Nursery furniture and durable toys often change owners, and resale listings can surface long after the original sale period. Maintain a complete backfill for relevant categories, then add new notices daily. When a catalog item matches, verify manufacturing dates, dimensions, model identifiers, retailers, and photographs against the current official notice.

Prioritization should consider the stated hazard and reported incidents without inventing a risk score the source does not provide. A notice describing ingestion, strangulation, fire, or entrapment may warrant faster review, but the compliance team should define escalation rules and document them.

Keep the workflow centered on products, not children or purchasers. The scraper needs no personal information. If customer outreach becomes necessary, connect a confirmed product match to the organization’s governed transaction system only after review. This separation supports fast recall discovery while limiting unnecessary data handling and reducing the chance that an ambiguous keyword match produces a harmful or confusing customer message.