About us

Unofficial APIs and datasets for platforms without public APIs

Packet (pckt.sh) provides unofficial REST APIs and datasets for platforms that don't offer public APIs, such as StockX, GOAT, Flight Club, Nike and Shopify stores. Developers get structured JSON for products, prices and sales without building or maintaining scrapers.

We build the product for developers who need predictable access patterns, clear contracts, and a service that stays close to the underlying network rather than hiding it behind unnecessary abstraction.

What Packet does

Packet provides:

  • API access for supported data sources;
  • dataset and export tooling;
  • dashboard access for account, billing, and support management;
  • infrastructure and operational tooling for request handling and observability.

Our goal is to make web data easier to integrate while keeping the service understandable, auditable, and maintainable.

Our history

Packet is the successor to KicksDB, our sneaker and apparel data API, which grew to over 2,000 users. KicksDB proved the demand for structured catalog and real-time data, and Packet extends the same approach to more sources on a globally replicated infrastructure. KicksDB keeps running on top of Packet's data engine.

Independence

Packet is an independent service. It is not affiliated with, endorsed by, or sponsored by StockX, GOAT, Shopify, Nike or any other platform it provides data for. All product names and trademarks belong to their respective owners.

Company information

  • Legal Name: PCKT, LLC
  • State of formation: Delaware, United States
  • File Number: 10758010
  • Contact: contact@pckt.sh

If you need to reach us about legal, billing, or account matters, use the support portal available from your account.

How we work

  • We keep the platform focused on infrastructure, not marketing noise.
  • We prefer deterministic behavior over hidden automation.
  • We try to document the limits of the service clearly so users can make informed decisions.

Technical notes

  • Primary focus: low-latency web data access
  • Operational model: self-managed infrastructure and support tooling
  • Audience: developers and teams integrating data into products, workflows, or internal systems