Zepto API Capability

Summarize search facets

Derive brand, category, price, discount and stock facet counts from Zepto search results for a keyword and delivery location.

Capability ID zepto.search.facets

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

Maximum runtime 180 seconds

View raw

# Summarize search facets

Derive brand, category, price, discount and stock facet counts from Zepto search results for a keyword and delivery location.

- Platform: [Zepto](https://docs.upscrape.com/docs/platforms/zepto)
- Capability ID: `zepto.search.facets`
- Cost: 1 credit per request
- Maximum runtime: 180 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": {
    "limit": 50,
    "pincode": "560067",
    "query": "rice"
  },
  "capability": "zepto.search.facets"
}'
```

## Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `latitude` | `number` | No | Latitude for location-based store resolution. |
| `limit` | `integer` | No | Number of search results to analyze. Facet counts describe this sample, not the full result set. |
| `longitude` | `number` | No | Longitude for location-based store resolution. |
| `max_pages` | `integer` | No | Maximum number of pages to fetch. |
| `pincode` | `string` | No | Six-digit Indian pincode. When provided, Upscrape resolves coordinates and the Zepto delivery store automatically. |
| `query` | `string` | Yes | Search query string. |
| `store_id` | `string` | No | Zepto store ID. Defaults to the public Bangalore sample store. |

### Example input

```json
{
  "limit": 50,
  "pincode": "560067",
  "query": "rice"
}
```

## Response

Successful output is returned in `results[0].data`. Raw platform output is intentionally open-ended and may evolve with the upstream source.

### Illustrative sample output

This redacted fixture is an example, not a fixed response schema.

```json
{
  "availability": {
    "in_stock": 50,
    "out_of_stock": 0,
    "unknown": 0
  },
  "brands": [
    {
      "count": 12,
      "id": "8f0fa49a-9afe-41b5-b9bc-7fdea8af7d15",
      "value": "Daawat"
    },
    {
      "count": 8,
      "id": "06b3a6c8-9762-46d2-83c5-1623b7d3a508",
      "value": "Daily Good"
    },
    {
      "count": 6,
      "id": "c8ffb149-9e09-4c74-9b33-05e20b065068",
      "value": "India Gate"
    }
  ],
  "captured_at": "2026-09-25T13:53:32.763725924Z",
  "categories": [
    {
      "count": 49,
      "id": "2f7190d0-7c40-458b-b450-9a1006db3d95",
      "value": "Atta, Rice, Oil & Dals"
    },
    {
      "count": 1,
      "id": "dfe16918-81b1-49c3-941b-acd557f7c277",
      "value": "Zepto Cafe"
    }
  ],
  "discount_ranges": [
    {
      "count": 6,
      "label": "1% - 9%",
      "max": 10,
      "min": 1
    },
    {
      "count": 24,
      "label": "10% - 24%",
      "max": 25,
      "min": 10
    },
    {
      "count": 18,
      "label": "25% - 49%",
      "max": 50,
      "min": 25
    }
  ],
  "has_more": true,
  "location": {
    "eta_minutes": 21,
    "eta_serviceable": true,
    "latitude": 12.9967012,
    "longitude": 77.758197,
    "pincode": "560067",
    "secondary_store_ids": [
      "0059ff6a-7eb0-477a-a7f5-69256f2c444b"
    ],
    "serviceable": true,
    "store_id": "e58fff62-7695-44c2-aba0-6bc96074bc64",
    "store_ids": [
      "e58fff62-7695-44c2-aba0-6bc96074bc64",
      "0059ff6a-7eb0-477a-a7f5-69256f2c444b"
    ]
  },
  "location_eta_in_minutes": 21,
  "location_eta_serviceable": true,
  "location_latitude": 12.9967012,
  "location_longitude": 77.758197,
  "location_secondary_store_ids": [
    "0059ff6a-7eb0-477a-a7f5-69256f2c444b"
  ],
  "location_serviceable": true,
  "location_store_id": "e58fff62-7695-44c2-aba0-6bc96074bc64",
  "location_store_ids": [
    "e58fff62-7695-44c2-aba0-6bc96074bc64",
    "0059ff6a-7eb0-477a-a7f5-69256f2c444b"
  ],
  "price_max_paise": 261200,
  "price_min_paise": 4700,
  "price_ranges": [
    {
      "count": 1,
      "label": "Under ₹50",
      "max": 5000,
      "min": 0
    },
    {
      "count": 14,
      "label": "₹50 - ₹100",
      "max": 10000,
      "min": 5000
    },
    {
      "count": 5,
      "label": "₹100 - ₹200",
      "max": 20000,
      "min": 10000
    }
  ],
  "products_analyzed": 50,
  "query": "rice",
  "subcategories": [
    {
      "count": 14,
      "id": "9798b797-0db0-4b04-b198-31b0a5849318",
      "value": "Rice & More"
    }
  ]
}
```
### Illustrative output fields

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

| Path | Observed type | Example |
| --- | --- | --- |
| `availability` | `object` | 3 fields |
| `availability.in_stock` | `integer` | 50 |
| `availability.out_of_stock` | `integer` | 0 |
| `availability.unknown` | `integer` | 0 |
| `brands` | `array` | 3 items |
| `brands` | `array` | 3 items |
| `captured_at` | `string` | 2026-09-25T13:53:32.763725924Z |
| `categories` | `array` | 2 items |
| `categories` | `array` | 2 items |
| `discount_ranges` | `array` | 3 items |
| `discount_ranges` | `array` | 3 items |
| `has_more` | `boolean` | true |
| `location` | `object` | 9 fields |
| `location.eta_minutes` | `integer` | 21 |
| `location.eta_serviceable` | `boolean` | true |
| `location.latitude` | `number` | 12.9967012 |
| `location.longitude` | `number` | 77.758197 |
| `location.pincode` | `string` | 560067 |
| `location.secondary_store_ids` | `array` | 1 items |
| `location.serviceable` | `boolean` | true |
| `location.store_id` | `string` | e58fff62-7695-44c2-aba0-6bc96074bc64 |
| `location.store_ids` | `array` | 2 items |
| `location_eta_in_minutes` | `integer` | 21 |
| `location_eta_serviceable` | `boolean` | true |
| `location_latitude` | `number` | 12.9967012 |
| `location_longitude` | `number` | 77.758197 |
| `location_secondary_store_ids` | `array` | 1 items |
| `location_secondary_store_ids` | `array` | 1 items |
| `location_serviceable` | `boolean` | true |
| `location_store_id` | `string` | e58fff62-7695-44c2-aba0-6bc96074bc64 |
| `location_store_ids` | `array` | 2 items |
| `location_store_ids` | `array` | 2 items |
| `price_max_paise` | `integer` | 261200 |
| `price_min_paise` | `integer` | 4700 |
| `price_ranges` | `array` | 3 items |
| `price_ranges` | `array` | 3 items |
| `products_analyzed` | `integer` | 50 |
| `query` | `string` | rice |
| `subcategories` | `array` | 1 items |
| `subcategories` | `array` | 1 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

latitude number optional

Latitude for location-based store resolution.

limit integer optional

Number of search results to analyze. Facet counts describe this sample, not the full result set.

Example 50

longitude number optional

Longitude for location-based store resolution.

max_pages integer optional

Maximum number of pages to fetch.

pincode string optional

Six-digit Indian pincode. When provided, Upscrape resolves coordinates and the Zepto delivery store automatically.

Example 560067

query string required

Search query string.

Example rice

store_id string optional

Zepto store ID. Defaults to the public Bangalore sample store.

Response

Successful output is returned in results[0].data. Raw platform output is intentionally open-ended and may evolve with the upstream source.

Illustrative sample The full redacted fixture is shown in the response panel.

Illustrative output fields

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

Path	Observed type	Example
`availability`	`object`	3 fields
`availability.in_stock`	`integer`	50
`availability.out_of_stock`	`integer`	0
`availability.unknown`	`integer`	0
`brands`	`array`	3 items
`brands`	`array`	3 items
`captured_at`	`string`	2026-09-25T13:53:32.763725924Z
`categories`	`array`	2 items
`categories`	`array`	2 items
`discount_ranges`	`array`	3 items
`discount_ranges`	`array`	3 items
`has_more`	`boolean`	true
`location`	`object`	9 fields
`location.eta_minutes`	`integer`	21
`location.eta_serviceable`	`boolean`	true
`location.latitude`	`number`	12.9967012
`location.longitude`	`number`	77.758197
`location.pincode`	`string`	560067
`location.secondary_store_ids`	`array`	1 items
`location.serviceable`	`boolean`	true
`location.store_id`	`string`	e58fff62-7695-44c2-aba0-6bc96074bc64
`location.store_ids`	`array`	2 items
`location_eta_in_minutes`	`integer`	21
`location_eta_serviceable`	`boolean`	true
`location_latitude`	`number`	12.9967012
`location_longitude`	`number`	77.758197
`location_secondary_store_ids`	`array`	1 items
`location_secondary_store_ids`	`array`	1 items
`location_serviceable`	`boolean`	true
`location_store_id`	`string`	e58fff62-7695-44c2-aba0-6bc96074bc64
`location_store_ids`	`array`	2 items
`location_store_ids`	`array`	2 items
`price_max_paise`	`integer`	261200
`price_min_paise`	`integer`	4700
`price_ranges`	`array`	3 items
`price_ranges`	`array`	3 items
`products_analyzed`	`integer`	50
`query`	`string`	rice
`subcategories`	`array`	1 items
`subcategories`	`array`	1 items

Execution behavior

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

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": { "limit": 50, "pincode": "560067", "query": "rice" }, "capability": "zepto.search.facets" }'

import json import os import requests payload = json.loads(r'''{ "input": { "limit": 50, "pincode": "560067", "query": "rice" }, "capability": "zepto.search.facets" }''') 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))

{ "availability": { "in_stock": 50, "out_of_stock": 0, "unknown": 0 }, "brands": [ { "count": 12, "id": "8f0fa49a-9afe-41b5-b9bc-7fdea8af7d15", "value": "Daawat" }, { "count": 8, "id": "06b3a6c8-9762-46d2-83c5-1623b7d3a508", "value": "Daily Good" }, { "count": 6, "id": "c8ffb149-9e09-4c74-9b33-05e20b065068", "value": "India Gate" } ], "captured_at": "2026-09-25T13:53:32.763725924Z", "categories": [ { "count": 49, "id": "2f7190d0-7c40-458b-b450-9a1006db3d95", "value": "Atta, Rice, Oil & Dals" }, { "count": 1, "id": "dfe16918-81b1-49c3-941b-acd557f7c277", "value": "Zepto Cafe" } ], "discount_ranges": [ { "count": 6, "label": "1% - 9%", "max": 10, "min": 1 }, { "count": 24, "label": "10% - 24%", "max": 25, "min": 10 }, { "count": 18, "label": "25% - 49%", "max": 50, "min": 25 } ], "has_more": true, "location": { "eta_minutes": 21, "eta_serviceable": true, "latitude": 12.9967012, "longitude": 77.758197, "pincode": "560067", "secondary_store_ids": [ "0059ff6a-7eb0-477a-a7f5-69256f2c444b" ], "serviceable": true, "store_id": "e58fff62-7695-44c2-aba0-6bc96074bc64", "store_ids": [ "e58fff62-7695-44c2-aba0-6bc96074bc64", "0059ff6a-7eb0-477a-a7f5-69256f2c444b" ] }, "location_eta_in_minutes": 21, "location_eta_serviceable": true, "location_latitude": 12.9967012, "location_longitude": 77.758197, "location_secondary_store_ids": [ "0059ff6a-7eb0-477a-a7f5-69256f2c444b" ], "location_serviceable": true, "location_store_id": "e58fff62-7695-44c2-aba0-6bc96074bc64", "location_store_ids": [ "e58fff62-7695-44c2-aba0-6bc96074bc64", "0059ff6a-7eb0-477a-a7f5-69256f2c444b" ], "price_max_paise": 261200, "price_min_paise": 4700, "price_ranges": [ { "count": 1, "label": "Under ₹50", "max": 5000, "min": 0 }, { "count": 14, "label": "₹50 - ₹100", "max": 10000, "min": 5000 }, { "count": 5, "label": "₹100 - ₹200", "max": 20000, "min": 10000 } ], "products_analyzed": 50, "query": "rice", "subcategories": [ { "count": 14, "id": "9798b797-0db0-4b04-b198-31b0a5849318", "value": "Rice & More" } ] }