# N11 Product Scraper — TR Marketplace ($2/1k) (`tamgadev/n11-product-scraper`) Actor

Scrape N11.com search results for product name, price, rating, brand, and seller. PPE $2 / 1,000 products — built for TR marketplace price monitoring.

- **URL**: https://apify.com/tamgadev/n11-product-scraper.md
- **Developed by:** [TamgaDev](https://apify.com/tamgadev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 products

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

## N11 Product Scraper — TR Marketplace ($2/1k)

Extract product cards from [N11](https://www.n11.com) search pages for Turkish marketplace price monitoring.

Built for e-commerce ops already using [Trendyol](https://apify.com/tamgadev/trendyol-price-scraper) / [Hepsiburada](https://apify.com/tamgadev/hepsiburada-product-scraper) who need **direct N11 storefront prices** for the same SKUs.

### What you get

- Product name + URL + product ID
- Selling price + original price (TRY)
- Brand, seller / shop name (when present)
- Rating + review count
- Image URL + scrape timestamp

### Example input

```json
{
  "queries": ["iphone 15"],
  "maxProducts": 50,
  "maxPages": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["UNBLOCKER"]
  }
}
```

### Pricing (PPE)

| What you run | Approx. result | Approx. Actor charge |
| --- | --- | --- |
| One search (~50 products) | 50 products | **~$0.10** |
| 1,000 products | 1,000 products | **~$2.00** |

- Event: `product` — **$2.00 / 1,000 products**
- Platform Unblocker/compute billed separately by Apify

### Tips

- Prefer exact model queries (`iphone 15 128 gb`) over broad category terms.
- N11 is Cloudflare-protected — keep **Unblocker** enabled on platform.
- Pair with Trendyol + Hepsiburada + Akakçe for full TR marketplace coverage.

### Related

- [Hepsiburada Product Scraper](https://apify.com/tamgadev/hepsiburada-product-scraper)
- [Trendyol Price Scraper](https://apify.com/tamgadev/trendyol-price-scraper)
- [Akakçe Price Scraper](https://apify.com/tamgadev/akakce-price-scraper)
- [Cimri Price Scraper](https://apify.com/tamgadev/cimri-price-scraper)

### More from TamgaDev

Same builder — digital kits on Gumroad (outreach, ops, automation recipes):

- Store: https://tamgadev.gumroad.com
- **FREE** 5 cold email scripts: https://tamgadev.gumroad.com/l/free-dev-cold-email
- Gumroad Automation Blueprints: https://tamgadev.gumroad.com/l/gumroad-blueprints
- Dev Cold Email Pack: https://tamgadev.gumroad.com/l/dev-cold-email

Profile: https://apify.com/tamgadev

# Actor input Schema

## `queries` (type: `array`):

Product search terms on N11.

## `startUrls` (type: `array`):

N11 search or product URLs.

## `maxProducts` (type: `integer`):

Maximum products to collect.

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

Maximum search result pages to crawl.

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

N11 is Cloudflare-protected; use Apify Unblocker on platform.

## Actor input object example

```json
{
  "queries": [
    "iphone 15"
  ],
  "startUrls": [],
  "maxProducts": 50,
  "maxPages": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  }
}
```

# Actor output Schema

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

Scraped product records

# 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 = {
    "queries": [
        "iphone 15"
    ],
    "startUrls": [],
    "maxProducts": 50,
    "maxPages": 1,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "UNBLOCKER"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("tamgadev/n11-product-scraper").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 = {
    "queries": ["iphone 15"],
    "startUrls": [],
    "maxProducts": 50,
    "maxPages": 1,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["UNBLOCKER"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("tamgadev/n11-product-scraper").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 '{
  "queries": [
    "iphone 15"
  ],
  "startUrls": [],
  "maxProducts": 50,
  "maxPages": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  }
}' |
apify call tamgadev/n11-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tamgadev/n11-product-scraper"
        }
    }
}
```

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/yICvfLzTD0czHppw2/builds/dCqsyUDlFj83ZAwcC/openapi.json