# Amazon India Catalogue by Category (`ikmal_suzali_atr/amazon-in-catalog`) Actor

Every product on an Amazon.in browse-node listing: ASIN, title, brand, price, list price, rating, review count, badges, delivery and sponsored flag, page by page, optionally with subcategories. Dual-mode: the same code runs as an ATR BullMQ worker.

- **URL**: https://apify.com/ikmal\_suzali\_atr/amazon-in-catalog.md
- **Developed by:** [AtTheRate AI](https://apify.com/ikmal_suzali_atr) (community)
- **Stats:** 2 total users, 1 monthly users, 0.0% 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

## Amazon India Catalogue by Category

Pulls every product Amazon shows on an amazon.in browse-node listing, page by page. One row is one product card in the order shoppers see it. Use it to rebuild a category's assortment in India, track MRP and selling price daily, and measure how much of a shelf your competitors buy with ads.

### What you get

- Every card on the listing with `page` and `position`, so shelf order is preserved.
- `is_sponsored` on every row, taken from the card's own Sponsored label, so paid slots stay separable from organic ones.
- Pricing: `price`, the struck-through `original_price` and `currency` (INR).
- Demand signals: `rating`, `rating_count`, `badges` such as "Amazon's Choice", and the `delivery` promise on the card.
- Identity per product: `asin`, `name`, `brand`, `image_url` and `product_url`.
- Category context on every row: `category`, `category_title`, `parent_category` and `breadcrumbs`.
- Optional subcategory crawl: set `expandSubcategories` and each node's children are crawled too.

### Input

Give it one or more browse-node ids or listing URLs.

```json
{
  "categories": ["1389401031"],
  "locale": "in",
  "maxPages": 2,
  "expandSubcategories": false,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" },
  "delayMs": 1500
}
```

- `categories` (required): node ids such as "1389401031" (Beauty), a `https://www.amazon.in/b?node=...` link or an `/s?rh=n%3A...` listing URL.
- `locale`: `in` for amazon.in, the only storefront this actor covers.
- `maxPages`: pages per node, 0 means every page.
- `proxyConfiguration`: residential proxy in India, already the default.

### Output

One row per product card on one listing page.

```json
{
  "platform": "amazon-in",
  "locale": "in",
  "category": "1389401031",
  "breadcrumbs": "Category",
  "page": 1,
  "position": 1,
  "asin": "B0CHX1W1XY",
  "name": "Product title as printed on the card",
  "brand": null,
  "price": 349,
  "original_price": 499,
  "currency": "INR",
  "rating": 4.2,
  "rating_count": 1820,
  "in_stock": true,
  "is_sponsored": true,
  "badges": [],
  "delivery": "FREE delivery Mon, 15 Sep",
  "product_url": "https://www.amazon.in/dp/B0CHX1W1XY",
  "fetched_at": "2026-09-12T09:21:44.118Z"
}
```

`seller` is always null on listing rows, Amazon does not print it on a category card. `brand` is null for most products: today's Amazon cards carry no brand line, and the brand is part of `name`. It is filled for books and media, where the card prints a byline. For a reliable brand per product, pass the ASINs to the matching Amazon product details actor. `original_price` is null when nothing is struck through.

### Use cases

- Daily price and MRP tracking across a category, using `price`, `original_price` and `rating_count`.
- Share of shelf: match your products by `asin` or `name` and count them against the category total per `page` and `position`.
- Ad-slot share: `is_sponsored` shows which competitors buy the top of each page.
- Assortment and availability gaps: `in_stock` plus `delivery` shows what is listed and what ships late.

### Notes and limits

- A listing page carries roughly 48 to 60 cards. Browse-node listings go up to about 400 pages per node.
- Keyword search is capped by Amazon at 7 pages. This actor reads browse nodes, so it is not affected.
- A residential proxy in India is needed. Datacentre and non-Indian addresses get a captcha or a bot check.
- amazon.in is challenged more often than the other Amazon storefronts. The actor re-mints the session and falls back to a browser for that page, so the run still completes.
- A category id that cannot be resolved is skipped and counted in `failed_categories` instead of failing the run.
- Live run: the Beauty node with subcategories returned 198 products across 6 nodes, 54 of them sponsored, in about two minutes.

### FAQ

**Do I need a proxy?** Yes, residential in India. The actor already defaults to residential IN, and anything outside India is reliably challenged.

**How many results can I get?** About 48 to 60 products a page and up to roughly 400 pages per node, so a large node runs into tens of thousands of rows. Cap it with `maxPages`.

**Does it need a login or an API key?** No. Public listing pages only, no Amazon account and no seller credentials.

**How are sponsored placements detected?** From the Sponsored label Amazon prints on the card, so `is_sponsored` matches what an Indian shopper sees at that moment.

**Do prices here reflect my pincode?** No. Listing pages use the storefront default location. For pincode-accurate price, seller and delivery, use the Amazon India Product Details actor.

# Actor input Schema

## `categories` (type: `array`):

Amazon.in browse-node ids or URLs, e.g. "1389401031" (Beauty) or "https://www.amazon.in/b?node=1389401031". Find ids under Best Sellers or the left Department nav of any listing.

## `locale` (type: `string`):

Amazon India.

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

0 = all pages (~48 products per page, up to 400 pages per node).

## `expandSubcategories` (type: `boolean`):

Also crawl each node's child nodes from the Department nav.

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

1–4.

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

Pause between page fetches.

## `callsPerSession` (type: `integer`):

Re-mint the session after this many fetches.

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

On the Apify platform this decides egress. Residential proxy in India (IN) is recommended. On our own servers it is ignored and our residential proxy is used.

## Actor input object example

```json
{
  "categories": [
    "1389401031"
  ],
  "locale": "in",
  "maxPages": 0,
  "expandSubcategories": false,
  "concurrency": 2,
  "delayMs": 1500,
  "callsPerSession": 80,
  "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 = {
    "categories": [
        "1389401031"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ikmal_suzali_atr/amazon-in-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 = { "categories": ["1389401031"] }

# Run the Actor and wait for it to finish
run = client.actor("ikmal_suzali_atr/amazon-in-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 '{
  "categories": [
    "1389401031"
  ]
}' |
apify call ikmal_suzali_atr/amazon-in-catalog --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ikmal_suzali_atr/amazon-in-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/amufbaUKN6x8kM0KN/builds/IMTESyJz91p2EAU67/openapi.json