We extract product listings, pricing signals, brand catalogues, and stock depth from 6thStreet. 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 6thstreet.com. All fields typed and schema-versioned.
"sku": "AL12345-BLK", "title": "Stiletto Heel Court Shoes", "brand": "Aldo", "category": "Women > Shoes > Heels", "gender": "Women", "material": "Synthetic Leather", "url": "https://en-ae.6thstreet.com/aldo-heels-al12345.html"
| # | sku | title | brand | description | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from 6thstreet.com. All fields typed and schema-versioned.
"sku": "AL12345-BLK", "base_price": 399.0, "sale_price": 249.0, "currency": "AED", "discount_percentage": 37, "campaign_badge": "White Friday Sale", "country_code": "AE"
| # | sku | base_price | sale_price | currency | discount_percentage | campaign_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants & Inventory objects from 6thstreet.com. All fields typed and schema-versioned.
"parent_sku": "AL12345", "variant_sku": "AL12345-BLK-38", "colour": "Black", "size": "EU 38", "stock_status": "IN_STOCK", "low_stock_warning": true, "quantity_available": 3
| # | parent_sku | variant_sku | colour | size | stock_status | quantity_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand & Category objects from 6thstreet.com. All fields typed and schema-versioned.
"brand_id": "BR-902", "brand_name": "Tommy Hilfiger", "total_products": 1450, "active_campaigns": "['Winter Collection', 'Clearance']", "top_categories": "['Men > Clothing', 'Women > Bags']", "scraped_at": "2026-05-12T10:00:00Z"
| # | brand_id | brand_name | total_products | active_campaigns | brand_logo_url | brand_description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from 6thstreet.com. All fields typed and schema-versioned.
"keyword": "running shoes men", "position": 4, "sku": "NK-RN-99", "brand": "Nike", "price": 499.0, "discount_badge": true, "sponsored_flag": false
| # | keyword | position | sku | title | brand | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our 6thStreet scraper handles every layer of the platform: product catalogues, dynamic pricing, variant matrices, and regional categorisation - with JavaScript rendering and session management built in.
Title, descriptions, materials, care instructions, high-resolution images, and metadata fields - scraped at SKU level.
Capture base price, sale price, discount percentages, and campaign badges across AED, SAR, and KWD currencies.
Extract complex parent-child relationships for sizes and colours, ensuring every combination is mapped accurately.
Monitor inventory status, low stock warnings, and availability across different sizes to predict sell-through rates.
Extract data specific to UAE, KSA, Kuwait, Oman, Bahrain, and Qatar storefronts, including Arabic and English content.
Monitor specific brand assortments, total product counts, and new arrivals within brand-specific landing pages.
Track organic search positions for high-value keywords to monitor brand visibility and competitor placement.
Identify sitewide sales, coupon codes, and bundle offers applied to specific categories or brands.
Run continuous pipelines at daily cadences with change-detection diffing to emit only updated pricing and stock.
Brief in. Clean data out.
Provide brand URLs, category links, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, GCC proxy routing, session management, and parsing logic for 6thstreet.com.
Schema validation, null-rate checks, currency formatting, and variant mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fashion eCommerce sites rely on heavy front-end frameworks and regional routing. Here is how we stay resilient.
6thStreet displays different pricing, currencies, and stock availability based on the user's IP address. We route requests through residential proxies located in the UAE, KSA, or Kuwait to ensure you receive accurate local market data.
The platform relies on client-side rendering for product grids and variant selection. We use Playwright to execute JavaScript, wait for network idle states, and hydrate the DOM before extraction.
Fashion SKUs contain multi-dimensional variants. Our parsing engine flattens nested JSON structures from the frontend API to create clean, relational records for every size and colour combination.
For large brand catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing storage bloat and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing price fields, and schema drift, responding before you notice.
Fashion retailers monitor discount depths and base pricing across brands to optimise their own promotional calendars.
Brands audit 6thStreet to ensure minimum advertised price policies are maintained across all regional storefronts.
Merchandising teams analyse category depth and brand representation to identify missing product lines in their own stores.
Analysts track new arrivals, category growth, and out-of-stock velocity to predict seasonal fashion trends.
Pricing teams correlate 6thStreet discount schedules with inventory clearance rates to refine their markdown strategies.
Retailers entering the GCC market use historical pricing and brand assortment data to model competitive positioning.
"6thStreet holds the pulse of GCC fashion retail. Extracting their catalogue structure and pricing matrix gives you immediate visibility into regional consumer demand."
Retail data degrades quickly. Reliable extraction requires GCC-based residential proxies, session hydration, and constant schema maintenance. DataFlirt handles the extraction infrastructure so your analysts can focus on pricing strategy rather than fixing broken parsers.
Everything supported by our 6thstreet.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, cookie sessions, and DOM hydration for dynamic product grids.
We maintain pools of residential ISP proxies across the Middle East. Rotation happens per-request to ensure accurate regional pricing and prevent rate limiting.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About 6thstreet.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and category data. We do not extract personal data or circumvent authentication walls.
We use residential proxies located in the target GCC country (UAE, KSA, Kuwait, etc.) and configure specific request headers to ensure the site returns the correct local currency and stock availability.
Yes. Our parsers map the parent-child relationships within the product data, emitting a separate structured record for each size and colour combination along with its specific stock status.
Full catalogue refreshes typically run at a daily cadence. For specific high-priority brands or categories, we can configure intraday pipelines to capture rapid price changes.
Our packages start at defined category or brand lists with weekly delivery. For full-site extraction across multiple GCC regions, we price based on compute volume and delivery frequency.
Yes. We provide a sample run of up to 500 products as part of the scoping process, allowing you to validate schema fit and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a specific brand catalogue or continuous price monitoring across all categories, we scope, build, and operate the pipeline. Tell us what you need.
