Blinkit API Capability

List categories

List Blinkit departments and shelves for a location, with IDs for browsing category products.

Capability ID blinkit.categories

Cost From $1.25 per 1,000 requests · 1 credit

Maximum runtime 30 seconds

# List categories

List Blinkit departments and shelves for a location, with IDs for browsing category products.

- Platform: [Blinkit](https://docs.upscrape.com/docs/platforms/blinkit)
- Capability ID: `blinkit.categories`
- Cost: 1 credit per request
- Maximum runtime: 30 seconds
- Execute endpoint: `POST https://data.upscrape.com/execute`

## Request

Use the exact public capability ID in the shared execute envelope.

```bash
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 '{
  "input": {
    "category_id": 96263,
    "pincode": "560102"
  },
  "capability": "blinkit.categories"
}'
```

## Input

Choose exactly one location: a six-digit pincode, a place name in location_query, or both latitude and longitude. Do not combine location modes. A pincode represents one delivery point, not every address in the area.

To limit the shelves to one department, pass its returned department ID in category_id. Use returned shelf IDs for category product requests.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `category_id` | `integer` | No | Current department ID returned by blinkit.categories; limits the response to that department’s shelves. These IDs differ from legacy /cn department-link IDs. At least 1. |
| `latitude` | `number` | No | Latitude of the delivery address. From -90 to 90. |
| `location_query` | `string` | No | Free-text Indian location resolved before fetching location-dependent Blinkit data. |
| `longitude` | `number` | No | Longitude of the delivery address. From -180 to 180. |
| `pincode` | `string` | No | Six-digit Indian pincode; surrounding whitespace is allowed and trimmed. Do not combine with coordinates. |

### Example input

```json
{
  "category_id": 96263,
  "pincode": "560102"
}
```

## Response

Successful output is returned in `results[0].data`.

Departments and shelves are location-specific. Use the returned identifiers rather than assuming IDs from a copied legacy link are interchangeable.

### Illustrative sample output

This example shows one response. Values and optional fields vary with the data available.

```json
{
  "count": 10,
  "departments": [
    {
      "category_id": 96263,
      "category_name": "Dairy, Bread & Eggs",
      "default_subcategory_id": "922"
    }
  ],
  "groups": [
    {
      "categories": [
        {
          "category_id": 96263,
          "category_name": "Dairy, Bread & Eggs",
          "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Milk_1706513334099",
          "rank": 1,
          "subcategory_id": "922",
          "subcategory_name": "Milk"
        },
        {
          "category_id": 96263,
          "category_name": "Dairy, Bread & Eggs",
          "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Bread_&_Pav_1706513373124",
          "rank": 2,
          "subcategory_id": "953",
          "subcategory_name": "Bread & Pav"
        },
        {
          "category_id": 96263,
          "category_name": "Dairy, Bread & Eggs",
          "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Eggs_1706513645206",
          "rank": 3,
          "subcategory_id": "1200",
          "subcategory_name": "Eggs"
        }
      ],
      "display_name": "Grocery & Kitchen",
      "group_name": "grocery-kitchen",
      "rank": 1
    }
  ],
  "results": [
    {
      "category_id": 96263,
      "category_name": "Dairy, Bread & Eggs",
      "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Milk_1706513334099",
      "rank": 1,
      "subcategory_id": "922",
      "subcategory_name": "Milk"
    },
    {
      "category_id": 96263,
      "category_name": "Dairy, Bread & Eggs",
      "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Bread_&_Pav_1706513373124",
      "rank": 2,
      "subcategory_id": "953",
      "subcategory_name": "Bread & Pav"
    },
    {
      "category_id": 96263,
      "category_name": "Dairy, Bread & Eggs",
      "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Eggs_1706513645206",
      "rank": 3,
      "subcategory_id": "1200",
      "subcategory_name": "Eggs"
    }
  ]
}
```
### Illustrative output fields

Derived from the sample above for orientation only. These fields are not a fixed response schema.

| Path | Observed type | Example |
| --- | --- | --- |
| `count` | `integer` | 10 |
| `departments` | `array` | 1 items |
| `departments` | `array` | 1 items |
| `groups` | `array` | 1 items |
| `groups` | `array` | 1 items |
| `results` | `array` | 3 items |
| `results` | `array` | 3 items |

## Execution behavior

A `200` response completed inline. A `202` response was queued; poll `GET /jobs/{id}` until the job reaches `completed` or `failed`. Use an `Idempotency-Key` when retrying must not create a duplicate logical job.

## Related documentation

- [Authentication](https://docs.upscrape.com/docs/api/authentication)
- [Jobs and results](https://docs.upscrape.com/docs/api/jobs)
- [Errors and retries](https://docs.upscrape.com/docs/api/errors)
- [Idempotency](https://docs.upscrape.com/docs/api/idempotency)

POST /execute Shared execution endpoint

Input parameters

Choose exactly one location: a six-digit pincode, a place name in location_query, or both latitude and longitude. Do not combine location modes. A pincode represents one delivery point, not every address in the area.

To limit the shelves to one department, pass its returned department ID in category_id. Use returned shelf IDs for category product requests.

category_id integer optional

Current department ID returned by blinkit.categories; limits the response to that department’s shelves. These IDs differ from legacy /cn department-link IDs. At least 1.

Example 96263

latitude number optional

Latitude of the delivery address. From -90 to 90.

location_query string optional

Free-text Indian location resolved before fetching location-dependent Blinkit data.

longitude number optional

Longitude of the delivery address. From -180 to 180.

pincode string optional

Six-digit Indian pincode; surrounding whitespace is allowed and trimmed. Do not combine with coordinates.

Example 560102

Response

Successful output is returned in results[0].data.

Departments and shelves are location-specific. Use the returned identifiers rather than assuming IDs from a copied legacy link are interchangeable.

Illustrative sample The example response is shown in the response panel.

Illustrative output fields

Values illustrate one response. Read the guidance above for missing values and limits; fields can vary with the requested operation and the data available.

Path	Observed type	Example
`count`	`integer`	10
`departments`	`array`	1 items
`departments`	`array`	1 items
`groups`	`array`	1 items
`groups`	`array`	1 items
`results`	`array`	3 items
`results`	`array`	3 items

Execution behavior

A 200 response completed inline. A 202 response was queued; poll GET /jobs/:id until the job reaches completed or failed.

Overview, pricing and sample data for every endpoint: Blinkit API

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 '{ "input": { "category_id": 96263, "pincode": "560102" }, "capability": "blinkit.categories" }'

import json import os import requests payload = json.loads(r'''{ "input": { "category_id": 96263, "pincode": "560102" }, "capability": "blinkit.categories" }''') 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))

{ "count": 10, "departments": [ { "category_id": 96263, "category_name": "Dairy, Bread & Eggs", "default_subcategory_id": "922" } ], "groups": [ { "categories": [ { "category_id": 96263, "category_name": "Dairy, Bread & Eggs", "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Milk_1706513334099", "rank": 1, "subcategory_id": "922", "subcategory_name": "Milk" }, { "category_id": 96263, "category_name": "Dairy, Bread & Eggs", "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Bread_&_Pav_1706513373124", "rank": 2, "subcategory_id": "953", "subcategory_name": "Bread & Pav" }, { "category_id": 96263, "category_name": "Dairy, Bread & Eggs", "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Eggs_1706513645206", "rank": 3, "subcategory_id": "1200", "subcategory_name": "Eggs" } ], "display_name": "Grocery & Kitchen", "group_name": "grocery-kitchen", "rank": 1 } ], "results": [ { "category_id": 96263, "category_name": "Dairy, Bread & Eggs", "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Milk_1706513334099", "rank": 1, "subcategory_id": "922", "subcategory_name": "Milk" }, { "category_id": 96263, "category_name": "Dairy, Bread & Eggs", "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Bread_&_Pav_1706513373124", "rank": 2, "subcategory_id": "953", "subcategory_name": "Bread & Pav" }, { "category_id": 96263, "category_name": "Dairy, Bread & Eggs", "image_url": "https://cdn.grofers.com/app/images/collections/groupings/grouping_asset_Eggs_1706513645206", "rank": 3, "subcategory_id": "1200", "subcategory_name": "Eggs" } ] }