We extract designer apparel listings, multi-region pricing signals, stock availability, and localised sizing from Ounass. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from ounass.com. All fields typed and schema-versioned.
"sku": "215849201", "title": "Crystal Embellished Satin Pumps", "brand": "Mach & Mach", "price": 4250.0, "currency": "AED", "amber_points": 42500, "stock_status": "in_stock", "sizes_available": "['IT 37', 'IT 38', 'IT 39']"
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promos objects from ounass.com. All fields typed and schema-versioned.
"sku": "215849201", "base_price": 4250.0, "current_price": 3825.0, "discount_pct": 10, "currency": "AED", "region": "AE", "promo_eligible": true, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | base_price | current_price | discount_pct | currency | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Sizing objects from ounass.com. All fields typed and schema-versioned.
"sku": "215849201", "brand": "Mach & Mach", "size_standard": "IT", "available_sizes": "['37', '38', '39']", "out_of_stock_sizes": "['36', '40', '41']", "low_stock_warning": "['39']", "delivery_badge": "2-Hour Delivery in Dubai"
| # | sku | brand | size_standard | available_sizes | out_of_stock_sizes | low_stock_warning |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Catalogues objects from ounass.com. All fields typed and schema-versioned.
"brand_id": "br_mach_mach", "brand_name": "Mach & Mach", "total_products": 124, "new_arrivals_count": 18, "sale_items_count": 42, "categories_covered": "['Shoes', 'Bags', 'Clothing']", "brand_url": "https://www.ounass.ae/designers/mach-and-mach"
| # | brand_id | brand_name | total_products | categories_covered | new_arrivals_count | sale_items_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search & Category objects from ounass.com. All fields typed and schema-versioned.
"keyword": "evening dresses", "position": 1, "sku": "216091834", "brand": "Zimmermann", "price": 3800.0, "is_new_season": true, "is_exclusive": false, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | category_path | position | sku | title | brand |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ounass scraper handles region-specific pricing, complex sizing matrices, and inventory depth across the entire GCC storefront.
Extract every SKU across apparel, shoes, bags, and beauty, capturing titles, descriptions, and material compositions.
Capture exact pricing for UAE (AED), Saudi Arabia (SAR), Qatar (QAR), Kuwait (KWD), Oman (OMR), and Bahrain (BHD).
Map available sizes, out-of-stock variants, and low-stock indicators across IT, FR, UK, and US size standards.
Extract the exact Amber points earned for purchasing specific items to map loyalty program value.
Identify items eligible for premium fulfillment, such as 2-hour delivery in Dubai or same-day Riyadh delivery.
Capture direct CDN links to uncompressed product imagery for AI styling and visual merchandising models.
Track Ounass-exclusive capsules and new season arrivals to monitor competitor assortment strategies.
Identify which SKUs are excluded from sitewide promotional codes and seasonal discount events.
Run daily pricing syncs or continuous inventory checks to detect stock-outs on high-velocity luxury items.
Brief in. Clean data out.
Provide brand lists, categories, or regions. We design the extraction schema for your specific GCC markets.
We configure Scrapy crawlers, GCC residential proxies, and Next.js state extraction for ounass.com.
Schema validation, null-rate checks, currency mapping, and size normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury e-commerce platforms deploy strict rate limits and regional blocking. Here is how we maintain stable extraction.
Ounass serves different pricing and availability based on IP location. We route requests through residential proxies in the UAE, KSA, and Qatar to capture accurate local market data.
Instead of relying purely on fragile DOM selectors, our pipeline intercepts the raw JSON state hydrated by the Next.js frontend, ensuring perfect accuracy for pricing and stock variants.
Luxury fashion sizing is complex. We normalise IT, FR, UK, and US sizing charts into a structured format, mapping exact availability to each specific size variant.
We extract strict numerical values alongside their local currency codes (AED, SAR, QAR), preventing downstream data corruption caused by dynamic currency conversion overlays.
For large brand catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Retailers track Ounass pricing across the GCC to ensure competitiveness and monitor regional markups.
Merchandising teams analyse Ounass brand catalogues to identify missing categories and exclusive capsules.
Designer brands monitor their placement, search ranking, and promotional inclusion on the platform.
Brands audit pricing to ensure compliance with Minimum Advertised Price agreements across different Middle Eastern regions.
Analysts track out-of-stock velocities on specific sizes and styles to predict upcoming luxury fashion trends.
Machine learning teams use high-resolution imagery and detailed material descriptions to train visual AI models.
"Ounass holds the definitive luxury fashion catalogue for the Middle East, but extracting accurate regional pricing requires bypassing strict geo-blocks."
Most teams fail at luxury fashion scraping because they ignore regional nuances. Ounass serves different prices, stock levels, and delivery promises based on the user's IP. DataFlirt uses GCC-based residential proxies and state-hydration parsing to capture exact local data, so your engineers can focus on merchandising analysis rather than infrastructure.
Everything supported by our ounass.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and state extraction for the Next.js frontend.
We maintain pools of residential ISP proxies across the Middle East to ensure accurate regional pricing and bypass geo-restrictions.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About ounass.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Ounass is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and inventory data. We do not extract personal data or circumvent authentication walls.
We use geo-targeted residential proxies located in specific GCC countries (e.g., UAE, Saudi Arabia, Qatar). This ensures the Ounass servers return the exact pricing, currency, and availability for that specific market.
Yes. We extract the full sizing matrix for every product, mapping available sizes, out-of-stock sizes, and low-stock warnings against standard size charts (IT, FR, UK, US).
Yes. We bypass thumbnail compression and extract direct CDN URLs for the highest resolution imagery available on the product page.
We can configure pipelines to run at daily, hourly, or custom intervals depending on your requirements. Change detection ensures we only deliver updates when stock or pricing changes.
Our minimum engagements typically start with a defined brand list or category set delivered weekly. We price based on volume, frequency, and schema complexity. Contact us for a precise quote.
Absolutely. We provide sample runs for specific brands or categories during the scoping phase, allowing your engineering and data teams to validate schema fit before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of designer pricing or continuous stock monitoring across the GCC, we build and operate the pipeline. Tell us what you need.
