We extract luxury footwear catalogues, designer pricing, size availability, and localized inventory from Level Shoes. 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 Catalogue objects from levelshoes.com. All fields typed and schema-versioned.
"sku": "100459283", "title": "Triple S Sneakers", "brand": "Balenciaga", "category": "Sneakers", "gender": "Women", "colour": "White", "material": "Polyurethane, Polyester, Nylon", "made_in": "China"
| # | sku | title | brand | designer_id | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Inventory objects from levelshoes.com. All fields typed and schema-versioned.
"sku": "100459283", "region": "UAE", "currency": "AED", "base_price": 4250.0, "sale_price": 4250.0, "discount_pct": 0, "in_stock": true, "size_system": "EU"
| # | sku | region | currency | base_price | sale_price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Pre-Owned Items objects from levelshoes.com. All fields typed and schema-versioned.
"sku": "PO-992381", "condition_rating": "Excellent", "condition_details": "Minor wear on soles", "authenticity_guarantee": true, "original_price": 5100.0, "resale_price": 3800.0, "box_included": true, "dustbag_included": true
| # | sku | condition_rating | condition_details | authenticity_guarantee | original_price | resale_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Brand Intelligence objects from levelshoes.com. All fields typed and schema-versioned.
"brand_name": "Amina Muaddi", "designer_id": "AM-01", "total_products": 142, "new_arrivals_count": 18, "average_price": 3850.0, "price_range_min": 1950.0, "price_range_max": 7200.0, "origin_country": "Italy"
| # | brand_name | designer_id | total_products | new_arrivals_count | average_price | price_range_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Localization Data objects from levelshoes.com. All fields typed and schema-versioned.
"sku": "100459283", "title_en": "Triple S Sneakers", "title_ar": "حذاء سنيكرز تريبل إس", "price_aed": 4250.0, "price_sar": 4350.0, "price_usd": 1150.0, "delivery_time_uae": "Same Day", "return_policy_days": 14
| # | sku | title_en | title_ar | desc_en | desc_ar | price_aed |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Level Shoes scraper handles complex variant structures, regional pricing, and high-resolution image assets. We manage the session rendering and proxy rotation required to access localized Middle Eastern inventory.
Extract title, material composition, heel height, origin, and care instructions across thousands of luxury SKUs.
Capture dynamic pricing in AED, SAR, OMR, KWD, BHD, and USD by routing requests through region-specific residential proxies.
Track available and out-of-stock sizes across EU, UK, US, and IT sizing systems for every product variant.
Extract and offload high-res product imagery directly to your S3 bucket to avoid bandwidth bottlenecks.
Monitor the luxury resale market by extracting condition ratings, inclusions, and resale versus original price comparisons.
Sync English and Arabic product titles, descriptions, and metadata for localized market analysis.
Track base prices against promotional prices during seasonal sales and Ramadan campaigns.
Capture estimated delivery windows and low-stock warnings to gauge inventory depth and demand velocity.
Run continuous pipelines that only emit records when prices drop or out-of-stock sizes are replenished.
Brief in. Clean data out.
Provide brand lists, category URLs, or target regions. We design the extraction schema together.
We configure Scrapy crawlers, Middle East proxy rotation, and session management for levelshoes.com.
Schema validation, null-rate checks, and size-mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury retail sites deploy aggressive geo-blocking and dynamic rendering. Here is how we maintain stable extraction.
Level Shoes alters pricing and stock visibility based on the visitor IP. We route requests through residential ISP proxies located in the UAE, Saudi Arabia, and Kuwait to capture accurate local market data.
Product availability and size grids are loaded dynamically via JavaScript. We execute full browser sessions to ensure all variant data is fully hydrated before extraction.
Luxury fashion requires high-resolution imagery. We stream image assets directly from the source to your AWS S3 buckets, bypassing intermediate storage limits and reducing pipeline latency.
We maintain session state across locale toggles to ensure Arabic and English metadata fields are perfectly matched to the correct underlying SKU.
Designer brands use conflicting size systems. We normalise EU, UK, US, and IT sizes into a consistent schema, mapping every size option to its specific stock status.
Luxury retailers track Level Shoes pricing across the GCC to ensure competitive alignment and monitor discount strategies.
Analysts monitor new brand additions, category expansion, and price architecture to understand Middle Eastern luxury consumption.
Brands audit online availability and pricing to detect parallel imports and unauthorised discounting in the region.
Fashion teams analyse colourways, heel heights, and material frequency to predict seasonal footwear trends.
Resellers monitor out-of-stock signals on high-demand sneakers and limited-edition designer collaborations.
Machine learning teams use the high-resolution image corpus and structured metadata to train visual recognition models.
"Level Shoes holds the definitive catalogue for luxury footwear in the Middle East, but extracting localized pricing and size depth requires specialized infrastructure."
Extracting luxury fashion data requires handling complex SKU variations, region-specific pricing, and high-resolution media. DataFlirt manages the residential proxies, JavaScript rendering, and schema normalisation so your team can focus on market analysis rather than pipeline maintenance.
Everything supported by our levelshoes.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 manages JavaScript rendering and locale selection to ensure accurate size and price extraction.
We maintain pools of residential ISP proxies across the GCC region. Rotation happens per-request to bypass geo-blocking and capture localized inventory.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About levelshoes.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product catalogues and pricing is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal user data or circumvent authentication walls.
Level Shoes displays different prices and inventory based on the user location. We use residential proxies located in the UAE, Saudi Arabia, and other GCC countries to capture the exact data displayed to local consumers.
Yes. We capture the source URLs for all high-resolution images. We can provide the URLs in the data payload or stream the actual image files directly to your S3 bucket.
Yes. We can configure the pipeline to extract localized Arabic titles, descriptions, and metadata alongside the English equivalents.
For targeted SKU lists, we can run high-frequency pipelines to check stock and size availability every few hours. Full catalogue refreshes are typically run daily or weekly.
Yes. We extract data from the pre-owned section, including condition ratings, inclusions like boxes and dustbags, and resale pricing metrics.
Our smallest packages start at a defined brand list or category with weekly delivery. For full catalogue extraction or high-frequency updates, we price based on compute volume and delivery cadence.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a weekly designer catalogue export or continuous stock monitoring across the GCC, we scope, build, and operate the pipeline. Tell us what you need.
