Waitrose API · Endpoint

Waitrose Products Search API

Q: What do I send?

Send query. The input fields below list every option with its type and limits.

Q: Can my AI agent call it?

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

Search Waitrose groceries by keyword with published prices, pack sizes and ranked product results.

8 credits per call
Failed calls are free
Updated 6 Oct 2026
waitrose.products.search

Start free, 100 credits API reference

Response completed

{  "next_offset": null,  "returned": 1,  "total_products": 16,  "items": [    {      "name": "SuperNutrio High Protein Fresh Semi Skimmed Cow's Milk",      "available": null,      "brand": "SuperNutrio",      "gtin": null,      "image": "https://ecom-su-static-prod.wtrecom.com/images/products/9/LN_996909_BP_9.jpg",      "pack_size": "1litre",      "rating_average": 5,      "rating_count": 2,      "retailer_product_id": "996909-1-2",      "url": "https://www.waitrose.com/ecom/products/supernutrio-high-protein-fresh-semi-skimmed-cows-milk/996909-1-2",      "price": {        "amount": 2.6,        "currency": "GBP"      },      "unit_price": {        "amount": 2.6,        "currency": "GBP",        "unit": "per_litre"      },      "member_prices": [],      "promotions": []    }  ]}

Try it live, free

Input

What you send

The input object of the request, with every field the endpoint accepts.

Field	Type	Required	What it does	Example
query	string	yes	Search query.	semi skimmed milk
offset	integer	no	Zero-based number of results to skip. From 0 to 10000.	15

Response

Fields it returns

What each record in the response holds, with the values from the sample above.

Field	Type	Example
items[].name	string	SuperNutrio High Protein Fresh Semi Skimmed Cow's Milk
items[].price	object	2 fields
items[].available	null	null
items[].brand	string	SuperNutrio
items[].gtin	null	null
items[].image	string	https://ecom-su-static-prod.wtrecom.com/images/products/9/LN_99…
items[].member_prices	array	empty in this sample
items[].pack_size	string	1litre
items[].price.amount	number	2.6
items[].price.currency	string	GBP
items[].promotions	array	empty in this sample
items[].rating_average	integer	5
items[].rating_count	integer	2
items[].retailer_product_id	string	996909-1-2
items[].unit_price	object	3 fields
items[].unit_price.amount	number	2.6
items[].unit_price.currency	string	GBP
items[].unit_price.unit	string	per_litre
items[].url	string	https://www.waitrose.com/ecom/products/supernutrio-high-protein…
items	array	1 records
next_offset	null	null
returned	integer	1
total_products	integer	16

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.products.search",  "input": {    "offset": 15,    "query": "semi skimmed milk"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "waitrose.products.search",  "input": {    "offset": 15,    "query": "semi skimmed milk"  }}''')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.products.search",  "input": {    "offset": 15,    "query": "semi skimmed milk"  }}),});if (!response.ok) {  throw new Error(`Upscrape request failed: ${response.status}`);}console.log(JSON.stringify(await response.json(), null, 2));

In your AI agent Claude · Cursor · any MCP client

1Add the Upscrape MCP server

https://data.upscrape.com/mcp

2Ask for the data in plain words

With Upscrape, get the Waitrose products search for query "semi skimmed milk". Tell me what it costs before you run it, then show the results as a table.

The agent finds the endpoint, shows you the price, and runs it with your credits.

Waitrose