# Noon Products Discovery Spider (`getdataforme/noon-products-discovery-spider`) Actor
This Apify Actor scrapes comprehensive product data from Noon.com, extracting prices, images, ratings, promotions, and specifications. Perfect for market research, competitive analysis, and price monitoring, it provides real-time, structured JSON output for seamless integration.
- **URL**: https://apify.com/getdataforme/noon-products-discovery-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
---
## Noon Products Discovery Spider
### Introduction
The Noon Products Discovery Spider is a powerful Apify Actor designed to scrape and extract comprehensive product data from Noon.com, the leading e-commerce platform in the Middle East. It enables users to discover products based on specific search queries, providing detailed information including pricing, specifications, images, and more. This tool is ideal for market research, competitive analysis, and data-driven decision-making in the retail sector.
### Features
- **Comprehensive Product Extraction**: Retrieves detailed product information such as name, brand, price, ratings, and specifications from Noon.com search results.
- **Multi-Image Support**: Captures primary and additional product images with direct URLs for easy access.
- **Ad and Promotion Tracking**: Includes data on advertisements, discounts, nudges, and promotional codes for complete market insights.
- **Seller and Rating Details**: Extracts seller ratings, positive feedback, and customer reviews to assess product credibility.
- **Flexible Query Handling**: Supports multiple search queries to scrape products across various categories efficiently.
- **Real-Time Data**: Ensures up-to-date information by scraping live pages, including stock availability and delivery estimates.
- **Structured JSON Output**: Delivers clean, machine-readable data suitable for integration with databases or analytics tools.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|-----------|------------|----------|-----------------------------------------------------------------------------|--------------------------|
| Queries | Array of strings | No | List of search queries to scrape products for. Each query targets specific product categories on Noon.com. | ["mobile", "laptop"] |
### Example Usage
To run the Actor, provide input parameters in JSON format. Here's an example:
```json
{
"Queries": ["mobile", "laptop"]
}
````
The Actor will process each query and output a list of product objects. Example output:
```json
[
{
"query": "mobile",
"page": 1,
"offer_code": "a914e109d58505cf",
"catalog_sku": "N70180171V-1",
"sku": "N70180171V",
"sku_config": "N70180171V",
"brand": "Motorola",
"brand_code": "motorola",
"name": "Edge 60 Stylus 5G Dual SIM PANTONE Surf the web (Blue) 8GB RAM 256GB - Middle East Version",
"url": "edge-60-stylus-5g-dual-sim-pantone-surf-the-web-blue-8gb-ram-256gb-middle-east-version",
"image_key": "pnsku/N70180171V/45/_/1750144206/9a370f30-7008-4b28-9770-433d470323cc",
"image_url": "https://f.nooncdn.com/p/pnsku/N70180171V/45/_/1750144206/9a370f30-7008-4b28-9770-433d470323cc.jpg",
"image_keys": [
"pnsku/N70180171V/45/_/1750144206/9a370f30-7008-4b28-9770-433d470323cc",
"pnsku/N70180171V/45/_/1753275334/21c4d1cf-94a3-48e6-a67a-82f8954ba4c8",
"pnsku/N70180171V/45/_/1750144220/ff127f68-7640-4317-8d10-db650db51618"
],
"image_urls": [
"https://f.nooncdn.com/p/pnsku/N70180171V/45/_/1750144206/9a370f30-7008-4b28-9770-433d470323cc.jpg",
"https://f.nooncdn.com/p/pnsku/N70180171V/45/_/1753275334/21c4d1cf-94a3-48e6-a67a-82f8954ba4c8.jpg",
"https://f.nooncdn.com/p/pnsku/N70180171V/45/_/1750144220/ff127f68-7640-4317-8d10-db650db51618.jpg"
],
"price": 1099,
"sale_price": 904,
"is_buyable": true,
"stock_minimum_quantity": 1,
"is_bestseller": false,
"is_ad": true,
"is_freebie": false,
"is_collection_eligible": true,
"show_3d": false,
"store_name": "noon",
"estimated_delivery_date": "GET IN 55 MINS",
"rating_value": 4.3,
"rating_count": 1182,
"best_rating": 4.1,
"seller_positive_rating": 73,
"seller_rating": 4,
"seller_rating_count": 172544,
"seller_logo": "https://p.nooncdn.com/reviews-partners/partner_assets/9404/logo_ae_1654768924.003485.jpg",
"discount_title": "Extra 15% off",
"discount_code": "CODE: RAK50",
"discount_detail": "Extra 15% off with RAKBANK Credit Cards",
"discount_terms": [
"Extra 15% up to 50 AED off",
"Offer is valid when you checkout with your RAKBANK Credit Cards",
"Offer is applicable on an order value of 150 AED and above"
],
"nudges": [
"Selling out fast"
],
"product_badges": [],
"flags": [
"quick_atc",
"rocket",
"vat_refund_eligible",
"sm_gifting"
],
"specifications": {
"Screen Size": "6.7 in",
"RAM Size": "8 GB",
"Battery Size": "5000 mAh",
"Secondary Camera Resolution": "32 MP"
},
"rocket_price": 1099,
"rocket_sale_price": 904,
"rocket_estimation": "GET IN 55 MINS",
"catalog_tag_text": "noon exclusive",
"catalog_tag_type": "default",
"ad_tag_text": "Ad",
"view_urls": [
"https://api-external.noon.com/_svc/mp-adserver-api-adtracker/productads/event/view?pl=gAAAAABp_FoEL24mh2BEemEcNkKbR513eB9wJv5WI3LE58pRyMlOI0__Rfy1RxxAF4Y8k-Rc8rASW-CicBWQ2D0Fx88Vj1z9LCp-99BHV0pwz4FBiTABHufTyHWCTljyz2SrRFTewOo7J-uQ8qgn3i0s9QV-I_VzKwp09QeLqZQQp1Yjjj8FVw77fQh2Euci5rzHQ-MQO1u8SqWaYtQ03shZs8A9sS2MCLpkUXWNx7GtXox9HgdL2rNznnZ2nMPOUT2OZghn11gO9zwYIFzu6NLVnoV9o70eqYj0JORz57Y29kxe0N1BDjH4wrLrq9bbKq75cs9JlIElaxwTeK_gQ7YcSJP5b_9km5IDOTBRtMDyeJ_5tErZvsIdok1oYMyRdps-vTc58Wju-cGlGcX7cM0e2t97jmLYdvEoUJ5BXAgDdt5nixkTauJDXBcIZlwy2gJyJ-A8mYwdjDo6dvGf2Te7X43ffBnqwFKR6Ej9YAc4viZUqFyiqR-Klxs0xEjG9rPUL-63ySBwTG137EiAbxyb7mwEJlreCtoTMnY7FYO3xAKmn2a9A5RbSLqd63ZQujVHREBKMHVg0vckdKyPrMsMocXHgEGqGVXVFv57NOttGuj_8xkRCYBwr5ssQqjZhzCeII4zyASD4HiZVAtC-rU3DQue-StPy0JVPckgg_EYExwoA-Dy8fWb2sFHmJDbhmM7W-qnatYt8N4ukqrijG8vzEBOU9zYayR7WTKgSgf41DIe-_yCH_xJ96_Or4Sm0OFOpi0wG1r5Z_Q8ogjbl5ZRH77WGdxvEFpgRMithPb7E93JpRjhuQpQKUgIC-sGO_03s4qwEtbKUzoTnpXw-emK-Mur_OxG6buAU--7nTCoEGv2dv-kkbTVe8gC2cb2gU5aB802N-Mn774pq7TyKwXlvG6nJYy8N7F-t_4EwVA88PbJW7j3ihljDw7OgHGm7aX4enV4i8xNVnxPU0w8qFxLGvfqMYfGaA==&ix=0"
],
"click_urls": [
"https://api-external.noon.com/_svc/mp-adserver-api-adtracker/productads/event/click?pl=gAAAAABp_FoEL24mh2BEemEcNkKbR513eB9wJv5WI3LE58pRyMlOI0__Rfy1RxxAF4Y8k-Rc8rASW-CicBWQ2D0Fx88Vj1z9LCp-99BHV0pwz4FBiTABHufTyHWCTljyz2SrRFTewOo7J-uQ8qgn3i0s9QV-I_VzKwp09QeLqZQQp1Yjjj8FVw77fQh2Euci5rzHQ-MQO1u8SqWaYtQ03shZs8A9sS2MCLpkUXWNx7GtXox9HgdL2rNznnZ2nMPOUT2OZghn11gO9zwYIFzu6NLVnoV9o70eqYj0JORz57Y29kxe0N1BDjH4wrLrq9bbKq75cs9JlIElaxwTeK_gQ7YcSJP5b_9km5IDOTBRtMDyeJ_5tErZvsIdok1oYMyRdps-vTc58Wju-cGlGcX7cM0e2t97jmLYdvEoUJ5BXAgDdt5nixkTauJDXBcIZlwy2gJyJ-A8mYwdjDo6dvGf2Te7X43ffBnqwFKR6Ej9YAc4viZUqFyiqR-Klxs0xEjG9rPUL-63ySBwTG137EiAbxyb7mwEJlreCtoTMnY7FYO3xAKmn2a9A5RbSLqd63ZQujVHREBKMHVg0vckdKyPrMsMocXHgEGqGVXVFv57NOttGuj_8xkRCYBwr5ssQqjZhzCeII4zyASD4HiZVAtC-rU3DQue-StPy0JVPckgg_EYExwoA-Dy8fWb2sFHmJDbhmM7W-qnatYt8N4ukqrijG8vzEBOU9zYayR7WTKgSgf41DIe-_yCH_xJ96_Or4Sm0OFOpi0wG1r5Z_Q8ogjbl5ZRH77WGdxvEFpgRMithPb7E93JpRjhuQpQKUgIC-sGO_03s4qwEtbKUzoTnpXw-emK-Mur_OxG6buAU--7nTCoEGv2dv-kkbTVe8gC2cb2gU5aB802N-Mn774pq7TyKwXlvG6nJYy8N7F-t_4EwVA88PbJW7j3ihljDw7OgHGm7aX4enV4i8xNVnxPU0w8qFxLGvfqMYfGaA==&ix=0"
],
"actor_id": "E8g0I24hIUSCj6uky",
"run_id": "sAE2BUPSJtBiWznbW"
}
]
```
### Use Cases
- **Market Research**: Analyze product trends, pricing strategies, and consumer preferences on Noon.com to inform business decisions.
- **Competitive Intelligence**: Monitor competitors' product offerings, prices, and promotions to stay ahead in the market.
- **Price Monitoring**: Track price fluctuations and discounts for specific products to optimize purchasing or sales strategies.
- **Content Aggregation**: Collect product data for building catalogs, comparison sites, or affiliate marketing platforms.
- **Academic Research**: Gather data on consumer goods for studies in economics, marketing, or supply chain management.
- **Business Automation**: Integrate scraped data into automated workflows for inventory management or dynamic pricing systems.
### Installation and Usage
1. Search for "Noon Products Discovery Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)
### Output Format
The Actor outputs an array of JSON objects, each representing a product from the search results. Key fields include query (the search term), page (result page number), product details (SKU, brand, name, URL), pricing (price, sale\_price), availability (is\_buyable, stock\_minimum\_quantity), ratings (rating\_value, rating\_count), seller information, images (image\_urls array), specifications (object with key specs like screen size), and promotional data (discounts, nudges). Additional metadata like actor\_id and run\_id are included for tracking.
### Error Handling
The Actor handles common errors such as network timeouts or invalid queries by retrying requests and logging issues. If a query fails, it will be noted in the run log, and partial results may still be available. For persistent issues, check your input parameters or contact support.
### Rate Limiting and Best Practices
Noon.com may impose rate limits; the Actor includes built-in delays to avoid blocking. Best practices include limiting queries to relevant categories, running during off-peak hours, and using proxies if needed. Avoid overloading the platform to ensure reliable data extraction.
### Limitations and Considerations
Data accuracy depends on Noon.com's site structure, which may change. The Actor focuses on search result pages and may not capture all product details from individual pages. Results are limited to publicly available data; ensure compliance with Noon.com's terms of service and local laws.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/
We're here to help you get the most out of this Actor!
# Actor input Schema
## `Queries` (type: `array`):
The queries for the spider.
## Actor input object example
```json
{
"Queries": [
"mobile"
]
}
```
# Actor output Schema
## `results` (type: `string`):
Scraped data items from dataset
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/noon-products-discovery-spider").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {}
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/noon-products-discovery-spider").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call getdataforme/noon-products-discovery-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/noon-products-discovery-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Noon Products Discovery Spider",
"description": "This Apify Actor scrapes comprehensive product data from Noon.com, extracting prices, images, ratings, promotions, and specifications. Perfect for market research, competitive analysis, and price monitoring, it provides real-time, structured JSON output for seamless integration.",
"version": "0.0",
"x-build-id": "ry3ysYy1WYPdmnHBu"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~noon-products-discovery-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-noon-products-discovery-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~noon-products-discovery-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-noon-products-discovery-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~noon-products-discovery-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-noon-products-discovery-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"Queries": {
"title": "Queries",
"type": "array",
"description": "The queries for the spider.",
"default": [
"mobile"
],
"items": {
"type": "string"
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```