# Flipkart Minutes Catalogue by Pincode (`ikmal_suzali_atr/flipkart-minutes-catalog`) Actor

Every product on Flipkart Minutes (10-minute delivery) or Flipkart Grocery for a pincode, subcategory by subcategory: name, brand, price, MRP, discount, rating, stock state, dark store. Subcategories are discovered from the store page for that pincode; filter to the ones you need. Dual-mode: the sam

- **URL**: https://apify.com/ikmal\_suzali\_atr/flipkart-minutes-catalog.md
- **Developed by:** [AtTheRate AI](https://apify.com/ikmal_suzali_atr) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Flipkart Minutes Catalogue by Pincode

Pulls the whole Flipkart Minutes storefront, the 10-minute delivery service, for an Indian pincode: every subcategory, every product, with name, brand, price, MRP, discount, rating and stock state. Flipkart Grocery (Supermart) runs from the same actor. Subcategories come from your pincode's store page, so you get that store's real shelf, not a national list.

### What you get

- Shelf order and price economics: `subcategory`, `subcategory_uri`, `page`, `position`, `selling_price`, `mrp`, `discount_percent`, `discount_amount`.
- Availability you can act on: `in_stock` plus raw `availability_state` (`IN_STOCK`, `OUT_OF_STOCK`).
- Identity for joining: `product_id` (FSN), `listing_id`, `title`, `brand`, `subtitle`, `vertical`, `image_url`, `product_url`, plus `rating` and `review_count` where published.
- Location honesty: every row carries its `pincode`, and an unresolvable or unserved pincode is reported and skipped, never answered with another area's data.
- One switch: `marketplace` selects Minutes or Grocery with the same input and output shape.

### Input

`pincodes` is required. Everything else narrows the crawl.

```json
{
  "pincodes": ["122002", "560001"],
  "marketplace": "HYPERLOCAL",
  "subcategories": ["Fruits"],
  "maxPages": 1,
  "concurrency": 2,
  "delayMs": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}
```

- `pincodes`: 6-digit Indian pincodes, each resolved to the store serving it.
- `marketplace`: `HYPERLOCAL` for Minutes or `GROCERY` for Supermart.
- `subcategories`: case-insensitive name match such as `Fruits`. Empty means all, around 38 on Minutes.
- `maxPages`: pages per subcategory, 0 means all, at 40 products a page. `concurrency` runs 1 to 4 subcategories in parallel.
- `proxyConfiguration`: residential IN is the default.

### Output

One row per product, per subcategory, per pincode. A single pincode filtered to fruit returned 408 rows over 11 subcategories; two pincodes at one page each returned 1,382 rows over 37 subcategories.

```json
{
  "platform": "flipkart-minutes",
  "pincode": "122002",
  "subcategory": "Fruits",
  "page": 1,
  "position": 1,
  "product_id": "FRTHGZ8ZQ9YKQ4XB",
  "title": "Fresh Banana",
  "brand": null,
  "subtitle": "6 pieces",
  "selling_price": 48,
  "mrp": 60,
  "discount_percent": 20,
  "in_stock": true,
  "availability_state": "IN_STOCK",
  "vertical": "fruit",
  "marketplace": "HYPERLOCAL",
  "fetched_at": "2026-09-11T08:57:51.443Z"
}
```

`rating`, `rating_count` and `review_count` are null on most grocery listings: Flipkart rarely publishes ratings for fresh and packaged staples. `brand` is null where the brand lives inside `title`.

### Use cases

- Quick-commerce price tracking against other 10-minute apps on the same pincodes.
- Availability monitoring from `in_stock` and `availability_state`, and assortment gaps by comparing the `product_id` set between pincodes.
- Shelf-position tracking with `subcategory`, `page` and `position`, and category coverage audits: the subcategory list itself changes by store.

### Notes and limits

- A Minutes store carries around 38 subcategories. Grocery differs by area, and both come from your pincode's store page, not a fixed list.
- 40 products per page. An unresolvable pincode such as `999999` is logged and skipped with zero rows.
- A pincode Minutes does not cover yields no subcategories and is counted unserviceable, again zero rows.
- These rows carry no sponsored or ad flag: the Minutes and Grocery listing payloads do not mark paid placements.
- A pincode can fail on a bad proxy exit. It is reported and the run continues with the rest.

### FAQ

**Do I need a proxy?** A residential proxy in India is recommended and is the default. Every pincode needs its own location handshake, so it matters more here than on national Flipkart.

**How many results can I get?** A full store per pincode. One verified run returned 1,382 products over 37 subcategories for two pincodes at one page each. Set `maxPages` to 0 for full coverage.

**Does it need login or an API key?** No account, cookie or key is required.

**How does a pincode pick a store?** For Minutes the pincode is resolved to coordinates that set the delivery location; for Grocery a serviceability check binds the session. Subcategory tiles are then read from that store's own page, so the shelf you crawl is the shelf a shopper there sees.

# Actor input Schema

## `pincodes` (type: `array`):

Indian 6-digit pincodes. Each is resolved to coordinates and the Minutes store serving it is used; unserved pincodes are reported.

## `marketplace` (type: `string`):

Which Flipkart grocery surface.

## `subcategories` (type: `array`):

Only these subcategories (case-insensitive name match, e.g. "Fruits", "Atta Rice Dal"). Empty = all (~38 on Minutes).

## `maxPages` (type: `integer`):

0 = all (40 products per page).

## `concurrency` (type: `integer`):

1–4.

## `delayMs` (type: `integer`):

Pause between fetches.

## `proxyConfiguration` (type: `object`):

On the Apify platform this decides egress; a residential proxy in India is recommended. On our own servers it is ignored and our residential proxy is used.

## Actor input object example

```json
{
  "pincodes": [
    "122002"
  ],
  "marketplace": "HYPERLOCAL",
  "subcategories": [],
  "maxPages": 0,
  "concurrency": 2,
  "delayMs": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

One row per product.

## `summary` (type: `string`):

Counts for the run: what was requested, captured, skipped and failed.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "pincodes": [
        "122002"
    ],
    "subcategories": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("ikmal_suzali_atr/flipkart-minutes-catalog").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "pincodes": ["122002"],
    "subcategories": [],
}

# Run the Actor and wait for it to finish
run = client.actor("ikmal_suzali_atr/flipkart-minutes-catalog").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "pincodes": [
    "122002"
  ],
  "subcategories": []
}' |
apify call ikmal_suzali_atr/flipkart-minutes-catalog --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ikmal_suzali_atr/flipkart-minutes-catalog"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/GeGphqphE36TJseYN/builds/cztF5wkCoYxU0V12E/openapi.json