Use Noon.com Multi-Market Product Search by Discount with Python
Search Noon.com's UAE, Saudi Arabia, and Egypt storefronts by keyword, category, or URL, and get price, discount, rating, brand, and promotional labels for each product in that market's own currency.
1. Choose the data you need
Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.
2. Prepare a source-based input
This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.
{
"categoryPaths": [],
"dealOnly": false,
"includeDetails": false,
"includeReviews": false,
"language": "en",
"market": "uae",
"maxItems": 3,
"mode": "search",
"productInputs": [],
"searchQueries": [
"laptop"
],
"sortBy": "popularity",
"startUrls": []
}
Download input.example.json and save your reviewed copy as input.json.
| Field | Type | Required | Description |
|---|---|---|---|
mode | string | required | Choose what to fetch. Search needs `searchQueries`; category needs `categoryPaths`; product needs `productInputs`; URL needs `startUrls`. |
searchQueries | array | optional | Keywords to search for (mode=search). One query per line, e.g. `laptop`. |
categoryPaths | array | optional | noon category paths or URLs (mode=byCategory), e.g. `electronics-and-mobiles/computers-and-accessories/computers-new/laptops`. |
productInputs | array | optional | noon SKUs or product URLs (mode=byProduct), e.g. `N70367827V`. |
startUrls | array | optional | noon search, category, or product URLs (mode=byUrl). The market in each URL overrides the Market field. |
market | string | optional | noon storefront and currency. Product and URL inputs can override it from the URL. |
language | string | optional | Product titles and descriptions language used by the storefront. |
sortBy | string | optional | Ordering for search and category results. |
minPrice | number | optional | Only emit products at or above this price, in the selected market's currency. |
maxPrice | number | optional | Only emit products at or below this price, in the selected market's currency. |
minRating | number | optional | Only emit rated products at or above this star rating (0-5). Unrated products are excluded when this is set. |
minDiscountPercent | number | optional | Only emit products discounted by at least this percentage. Products without a list price have no discount and are excluded. |
maxDiscountPercent | number | optional | Only emit products discounted by at most this percentage. Set 0 to require no discount. |
brand | string | optional | Optional brand name or brand code, e.g. `HP` or `hp`. Matched against noon's brand filter. |
seller | string | optional | Optional seller name or seller code, e.g. `noon` or `p_9404`. |
dealOnly | boolean | optional | Only emit products carrying a noon deal tag. |
includeDetails | boolean | optional | Add description, specifications, stock, warranty, delivery, and all seller offers. Adds one request per product. |
includeReviews | boolean | optional | Add up to five latest review snippets per product. Adds one request per product. |
maxItems | integer | optional | Hard cap on emitted products across the whole run. |
3. Start an Actor run
Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.
Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.
import json
import os
import urllib.request
# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
actor_input = json.load(stream)
token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
"https://api.apify.com/v2/acts/qDg5x3pgFoSyTs8EB/runs?timeout=120&maxTotalChargeUsd=0.50",
data=json.dumps(actor_input).encode("utf-8"),
headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.
4. Inspect the actual results
Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.
One record per noon.com product with local-currency price, list price, discount, rating, seller, stock, images, specs, and optional recent reviews across seven GCC storefronts.
Questions before you run
Which inputs are required?
The published required fields are mode
What does this guide verify?
The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.
What if the run request times out?
Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.
Generated from source build vuTAH34zheN5JkmKP and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.