We extract product catalogues, pricing signals, size availability, and brand intelligence from Footasylum. 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 Sneakers & Footwear objects from footasylum.com. All fields typed and schema-versioned.
"product_id": "4081923", "title": "Nike Air Max 95 Sneaker", "brand": "Nike", "price": 169.99, "colourway": "Black / Anthracite", "sizes_available": "['UK 7', 'UK 8', 'UK 9', 'UK 10']", "stock_status": "IN_STOCK", "release_date": "2023-10-15"
| # | product_id | title | brand | price | original_price | colourway |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Apparel & Accessories objects from footasylum.com. All fields typed and schema-versioned.
"product_id": "4098112", "title": "Zavetti Canada Oshawa Puffer Jacket", "brand": "Zavetti Canada", "category": "Mens Jackets", "fit_type": "Regular", "price": 89.99, "discount_pct": 0, "sizes_available": "['S', 'M', 'L', 'XL']"
| # | product_id | title | brand | category | fit_type | material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from footasylum.com. All fields typed and schema-versioned.
"product_id": "4081923", "current_price": 129.99, "list_price": 169.99, "discount_amount": 40.0, "student_discount_eligible": true, "sale_badge": "SALE", "multi_buy_offer": "None", "scrape_timestamp": "2023-11-04T08:12:45Z"
| # | product_id | current_price | list_price | discount_amount | student_discount_eligible | sale_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Stock & Inventory objects from footasylum.com. All fields typed and schema-versioned.
"product_id": "4081923", "size_uk": "9", "size_eu": "44", "in_stock": true, "low_stock_warning": true, "stock_quantity_estimate": "Low", "store_availability": "Check Local Store"
| # | product_id | size_uk | size_eu | in_stock | low_stock_warning | stock_quantity_estimate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Brand Collections objects from footasylum.com. All fields typed and schema-versioned.
"brand_name": "Montirex", "collection_name": "Activewear", "product_count": 142, "min_price": 24.99, "max_price": 119.99, "new_arrivals_count": 18, "category_url": "https://www.footasylum.com/montirex/"
| # | brand_name | collection_name | product_count | min_price | max_price | new_arrivals_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Footasylum scraper handles the dynamic React frontend, Cloudflare bot protection, and high-frequency stock updates required for streetwear intelligence.
Extract title, brand, colourway, material, and high-resolution image URLs across all footwear and apparel categories.
Track stock availability per UK and EU size. Capture low-stock warnings and out-of-stock indicators.
High-frequency tracking for hype releases. Capture stock status changes in near real-time during major drops.
Capture markdown events, list prices, current prices, and promotional badges across the entire catalogue.
Monitor exclusive streetwear brands like Zavetti Canada, Montirex, Nike, and Jordan with dedicated brand-level extraction.
Map products to their exact navigation hierarchy, from primary category down to specific style sub-categories.
Extract full-resolution product images, lifestyle shots, and alternate angles for computer vision models.
Extract pricing in GBP or EUR depending on the target region and delivery requirements.
Run continuous pipelines that only output changed stock or price records, reducing downstream processing load.
Brief in. Clean data out.
Provide brand lists, category URLs, or specific product IDs. We design the extraction schema together.
We configure Scrapy crawlers, residential proxy rotation, and Cloudflare bypass mechanisms for footasylum.com.
Schema validation, null-rate checks, and size-level stock accuracy verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Streetwear retailers deploy aggressive bot protection to stop sneaker resellers. Here is how we maintain stable enterprise pipelines.
Footasylum uses Cloudflare to block automated traffic, especially during sneaker drops. Our crawlers use UK-based residential ISP proxies and realistic TLS fingerprints to bypass security challenges without triggering blocks.
Footasylum relies on modern JavaScript frameworks for dynamic content loading. We use Playwright to execute JavaScript, hydrate product pages, and extract accurate size and stock data that headless clients miss.
Sneaker releases require rapid stock checks. We optimise concurrency and proxy rotation to poll specific product endpoints at high frequency without degrading pipeline health.
Retail sites update layouts for sales and campaigns. Our extraction logic uses fallback chains including CSS selectors, XPath, and Next.js internal state data to ensure continuous delivery.
For the full catalogue, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs for price or stock changes, reducing compute cost and storage bloat.
Retailers track Footasylum pricing, discount events, and promotional campaigns to adjust their own pricing strategies.
Resale platforms and analysts monitor stock depletion rates on high-demand sneaker drops to forecast secondary market value.
Apparel brands audit Footasylum to ensure MAP compliance, correct product representation, and accurate promotional messaging.
Supply chain analysts track size-level stock availability across streetwear brands to inform manufacturing and procurement models.
Fashion researchers analyse new arrivals and category saturation to identify emerging trends in UK streetwear.
Machine learning teams use high-resolution product images and metadata to train computer vision models for apparel recognition.
"Footasylum holds critical pricing and stock data for UK streetwear, but extracting size-level inventory during hype drops requires serious infrastructure."
Most teams underestimate the investment required: reliable Footasylum scraping requires residential proxies, full JavaScript rendering, Cloudflare bypass, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our footasylum.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 interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per request with sticky sessions where required to bypass anti-bot systems.
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 footasylum.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We extract the complete size array for every product, including stock status, low-stock warnings, and out-of-stock indicators for both UK and EU sizing.
We use UK-based residential proxies, realistic browser fingerprints, and automated Cloudflare challenge solvers. This allows us to maintain access even during high-traffic release events.
We build time-series data from the moment your pipeline is commissioned. We do not hold historical data prior to pipeline creation, but every subsequent run builds your historical pricing database.
For a defined set of high-priority URLs, we can configure high-frequency polling with webhook delivery, achieving sub-minute latency for stock and price changes.
Yes. We can scope the pipeline to extract the entire catalogue or restrict it to specific brand URLs, category pages, or search queries.
We deliver data according to your schema requirements. Size arrays and image lists are typically delivered as nested JSON arrays, but can be flattened for CSV delivery.
No. We only extract publicly available catalogue, pricing, and stock data. We do not circumvent authentication walls to access user-specific loyalty points or order history.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full streetwear catalogue dump or continuous size-level stock monitoring, we scope, build, and operate the pipeline. Tell us what you need.
