Uniqlo API · Endpoint

Uniqlo Categories API

Q: Can my AI agent call it?

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

Get the Uniqlo France category tree, with the path to pass to category listings.

1 credit per call
Failed calls are free
Updated 18 Oct 2026
uniqlo.categories.list

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Response completed

{  "raw": {    "status": "ok",    "result": {      "categories": [        {          "name": "T-shirts",          "id": 85018,          "key": "t-shirts",          "parents": [            {              "name": "WOMEN",              "id": 37608,              "key": "women"            },            {              "name": "T-shirts, Sweats & Polaires",              "id": 84986,              "key": "tops"            }          ]        },        {          "name": "Tops à brassière intégrée",          "id": 85023,          "key": "bra-tops",          "parents": [            {              "name": "WOMEN",              "id": 37608,              "key": "women"            },            {              "name": "T-shirts, Sweats & Polaires",              "id": 84986,              "key": "tops"            }          ]        }      ],      "classes": [        {          "name": "T-shirts, Sweats & Polaires",          "id": 84986,          "key": "tops",          "parents": [            {              "name": "WOMEN",              "id": 37608,              "key": "women"            }          ]        },        {          "name": "Jeans, Pantalons & Shorts",          "id": 84987,          "key": "bottoms",          "parents": [            {              "name": "WOMEN",              "id": 37608,              "key": "women"            }          ]        }      ],      "genders": [        {          "name": "WOMEN",          "genderKey": "women",          "id": 37608        },        {          "name": "MEN",          "genderKey": "men",          "id": 37609        }      ]    }  },  "categories": [    {      "name": "T-shirts",      "id": 85018,      "key": "t-shirts",      "path": "37608,84986,85018",      "parents": [        {          "name": "WOMEN",          "id": 37608,          "key": "women"        },        {          "name": "T-shirts, Sweats & Polaires",          "id": 84986,          "key": "tops"        }      ]    },    {      "name": "Tops à brassière intégrée",      "id": 85023,      "key": "bra-tops",      "path": "37608,84986,85023",      "parents": [        {          "name": "WOMEN",          "id": 37608,          "key": "women"        },        {          "name": "T-shirts, Sweats & Polaires",          "id": 84986,          "key": "tops"        }      ]    }  ],  "classes": [    {      "name": "T-shirts, Sweats & Polaires",      "id": 84986,      "key": "tops",      "path": "37608,84986",      "parents": [        {          "name": "WOMEN",          "id": 37608,          "key": "women"        }      ]    },    {      "name": "Jeans, Pantalons & Shorts",      "id": 84987,      "key": "bottoms",      "path": "37608,84987",      "parents": [        {          "name": "WOMEN",          "id": 37608,          "key": "women"        }      ]    }  ],  "genders": [    {      "name": "WOMEN",      "gender_key": "women",      "id": 37608    },    {      "name": "MEN",      "gender_key": "men",      "id": 37609    }  ]}

3 rows

#	Name	Key	Path	Id
1	T-shirts	t-shirts	37608,84986,85018	85018
2	Tops à brassière intégrée	bra-tops	37608,84986,85023	85023
3	Sans Manches	sleeveless-tops	37608,84986,146730	146730

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Response

Fields it returns

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

Field	Type	What it is	Example
categories[].name	string	The name as Uniqlo shows it.	T-shirts
categories[].parents[].name	string	The parent category's name.	WOMEN
categories[].id	integer	Uniqlo's ID for the category.	85,018
categories[].key	string	The category's name in page addresses.	t-shirts
categories[].parents	array	The categories above this one.	2 records
categories[].parents[].id	integer	Uniqlo's ID for the parent category.	37,608
categories[].parents[].key	string	The parent category's name in page addresses.	women
categories[].path	string	The IDs of the categories from the top down to this one.	37608,84986,85018
categories	array	Uniqlo's categories.	3 records
classes	array	Uniqlo's product classes, such as T-shirts.	3 records
classes[].id	integer	Uniqlo's ID for the category.	84,986
classes[].key	string	The category's name in page addresses.	tops
classes[].name	string	The name as Uniqlo shows it.	T-shirts, Sweats & Polaires
classes[].parents	array	The categories above this one.	1 records
classes[].parents[].id	integer	Uniqlo's ID for the parent department.	37,608
classes[].parents[].key	string	The parent department's name in page addresses.	women
classes[].parents[].name	string	The parent department's name.	WOMEN
classes[].path	string	The IDs of the categories from the top down to this one.	37608,84986
genders	array	The departments, such as women, men and kids.	3 records
genders[].gender_key	string	The department's key.	women
genders[].id	integer	Uniqlo's ID for the category.	37,608
genders[].name	string	The name as Uniqlo shows it.	WOMEN
raw	object	Uniqlo's own response, as it came back.	2 fields
raw.result	object	The category list itself.	3 fields
raw.result.categories	array	Uniqlo's categories.	3 records
raw.result.classes	array	Uniqlo's product classes, such as T-shirts.	3 records
raw.result.genders	array	The departments, such as women, men and kids.	3 records
raw.status	string	Whether Uniqlo answered normally, such as ok.	ok

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": "uniqlo.categories.list",  "input": {}}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "uniqlo.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": "uniqlo.categories.list",  "input": {}}),});if (!response.ok) {  throw new Error(`Upscrape request failed: ${response.status}`);}console.log(JSON.stringify(await response.json(), null, 2));