JCPenney category tree

jcpenney.com's category tree: departments and their categories with ids and product counts, to the depth asked. Use an id with /jcpenney/v1/search as category.

Every response includes credits_used: the credits this call cost.

Part of the JCPenney API: 8 endpoints with prices, use cases and example responses.

Parameters

Every endpoint also takes fresh, raw, fields (see lean responses and caching).

Example

curl "https://api.api.sh/jcpenney/v1/categories" \
  -H "x-api-key: $APISH_KEY"

import os, requests

res = requests.get(
    "https://api.api.sh/jcpenney/v1/categories",
    params={},
    headers={"x-api-key": os.environ["APISH_KEY"]},
    timeout=120,
)
res.raise_for_status()
data = res.json()

const url = new URL("https://api.api.sh/jcpenney/v1/categories");


const res = await fetch(url, { headers: { "x-api-key": process.env.APISH_KEY } });
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const data = await res.json();

Response

A JSON object with the fields described above, plus raw (the source's own data), cached, fetched_at and credits_used. Errors return {"success": false, "error": "…"} with the HTTP status (see errors). A lookup that ran but found nothing (404) costs the price above; refused calls and errors on our side are free (what's charged).

Example response (real call, trimmed: lists cut to 2 items, long text shortened, raw left out)

{"parent": null,"name": "All","product_count": 238211,"count": 1549,"categories": [{"id": "dept20020540052","name": "shops","count": 238211,"children": []},{"id": "cat1007450013","name": "shop all products","count": 238211,"children": []},"… 1547 more"],"cached": false,"credits_used": 1}