Waitrose API · Endpoint

Waitrose Categories API

Q: Can my AI agent call it?

Yes, over MCP: the agent finds waitrose.categories.list, checks its price and runs it with the same credits as the REST API.

Browse the public Waitrose grocery category taxonomy to discover categories for shelf product listings.

1 credit per call
Failed calls are free
Updated 6 Oct 2026
waitrose.categories.list

Start free, 100 credits API reference

Response

No sample response published yet The inputs it accepts are below and the API reference has the full response schema. New accounts get free credits to run it. API reference

REST API · MCP server

Call it from your code, or ask your agent

Set UPSCRAPE_API_KEY to your key and copy a working request.

curl --request POST \  --url https://data.upscrape.com/execute \  --header "Authorization: Bearer $UPSCRAPE_API_KEY" \  --header "Content-Type: application/json" \  --header "Prefer: wait=30" \  --data '{  "capability": "waitrose.categories.list",  "input": {}}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "waitrose.categories.list",  "input": {}}''')response = requests.post(    "https://data.upscrape.com/execute",    headers={        "Authorization": f"Bearer {os.environ['UPSCRAPE_API_KEY']}",        "Content-Type": "application/json",        "Prefer": "wait=30",    },    json=payload,)response.raise_for_status()print(json.dumps(response.json(), indent=2))

const response = await fetch("https://data.upscrape.com/execute", {  method: "POST",  headers: {    "Authorization": `Bearer ${process.env.UPSCRAPE_API_KEY}`,    "Content-Type": "application/json",    "Prefer": "wait=30",  },  body: JSON.stringify({  "capability": "waitrose.categories.list",  "input": {}}),});if (!response.ok) {  throw new Error(`Upscrape request failed: ${response.status}`);}console.log(JSON.stringify(await response.json(), null, 2));