We extract sneaker releases, size grids, stock availability, and raffle details from asphaltgold.de. 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 Footwear Listings objects from asphaltgold.de. All fields typed and schema-versioned.
"sku": "DD1391-100", "brand": "Nike", "model": "Dunk Low Retro", "colourway": "White / Black", "price": 119.0, "currency": "EUR", "categories": "['Sneaker', 'Men', 'Nike Dunk']", "release_date": "2026-03-15T09:00:00Z"
| # | product_id | sku | brand | model | colourway | price |
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Complete list of extractable fields for Release & Raffle Data objects from asphaltgold.de. All fields typed and schema-versioned.
"sku": "DZ5485-052", "release_status": "upcoming", "raffle_start": "2026-04-10T10:00:00Z", "raffle_end": "2026-04-12T10:00:00Z", "draw_date": "2026-04-13T09:00:00Z", "platform": "Asphaltgold App", "participation_rules": "App only"
| # | sku | release_status | raffle_start | raffle_end | draw_date | platform |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Discounts objects from asphaltgold.de. All fields typed and schema-versioned.
"sku": "BB550WT1", "base_price": 149.0, "sale_price": 105.0, "discount_pct": 29, "currency": "EUR", "tax_included": true, "lowest_30d": 105.0, "timestamp": "2026-05-12T09:14:00Z"
| # | sku | base_price | sale_price | discount_pct | currency | tax_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Sizing & Inventory objects from asphaltgold.de. All fields typed and schema-versioned.
"sku": "M990GL5", "size_system": "US", "size_eu": "43", "size_us": "9.5", "size_uk": "9", "in_stock": true, "stock_level": 14, "restock_date": "2026-05-10T14:30:00Z"
| # | sku | size_system | size_eu | size_us | size_uk | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Apparel & Accessories objects from asphaltgold.de. All fields typed and schema-versioned.
"sku": "AG-TEE-01", "brand": "Asphaltgold", "product_type": "T-Shirt", "material": "100% Cotton", "fit": "Oversized", "price": 45.0, "in_stock": true
| # | product_id | sku | brand | product_type | material | fit |
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Our Asphaltgold scraper handles high traffic drops, raffle pages, and dynamic size grids. Built with bot circumvention and residential proxies to ensure reliable extraction.
Extract SKU, colourway, brand, and material descriptions across all footwear categories.
Map EU, US, and UK sizing formats accurately for every product variant.
Monitor upcoming drops, launch dates, and countdown timers.
Capture open and close dates for high heat raffles.
Ping specific SKUs at high frequency to detect inventory replenishment.
Track base price, sale price, and discount percentages during seasonal sales.
Navigate bot protection mechanisms during major sneaker releases.
Scrape streetwear, accessories, and clothing lines with specific fit details.
Extract product details in German or English based on target requirements.
Brief in. Clean data out.
Provide target brands, categories, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for asphaltgold.de.
Schema validation, null rate checks, and size grid mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery, or Snowflake on agreed cadence.
Sneaker retailers invest heavily in bot protection. Here is how we stay resilient and extract data reliably.
Sneaker sites use aggressive bot detection. Our crawlers use residential ISP proxies with realistic browser fingerprints to bypass Cloudflare and Datadome protections.
Product pages and size grids are heavily JavaScript rendered. We run full Playwright browser sessions to capture dynamic inventory data.
Brands use different sizing standards. We map EU, US, and UK sizes into a normalised schema for reliable downstream analysis.
We maintain a hash index of last seen values per field. Subsequent runs only push diffs, reducing compute cost and storage bloat.
Every run emits structured logs. We alert on null rate spikes, schema drift, and coverage drops.
Resellers and marketplaces monitor retail pricing and restocks to inform secondary market valuation.
Retailers track discount depth and sale events across streetwear catalogues.
Consumer applications use our webhooks to notify users when high heat items return to stock.
Brands audit stockists for MAP violations and correct product representation.
Fashion analysts track colourway popularity and sell through rates.
Fashion search engines aggregate availability across multiple European retailers.
"Sneaker release data is highly volatile and heavily protected. Extracting it requires infrastructure built specifically for high frequency, bot mitigated targets."
Most teams underestimate the investment required to scrape sneaker retailers reliably. Extracting data from Asphaltgold requires residential proxies, full JavaScript rendering, CAPTCHA handling, and rapid selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on analysis.
Everything supported by our asphaltgold.de 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 retry logic. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of residential ISP proxies across DE regions. Rotation happens per request to avoid IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About asphaltgold.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public product, pricing, and release data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour to bypass Cloudflare and Datadome.
Yes. We configure high frequency pipelines for specific SKUs and deliver updates via Webhook to support real time restock alerting.
Yes. We map brand specific sizing into a unified schema covering EU, US, and UK formats.
Yes. We extract raffle start times, end times, draw dates, and platform requirements.
Our smallest packages start at a defined brand list or category set with daily delivery. Contact us for a scoped quote.
No. DataFlirt is exclusively a data extraction service. We do not build bots for purchasing or raffle submissions.
Absolutely. We provide a sample run of up to 500 SKUs as part of the pre engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one off catalogue dump or a continuous restock monitoring feed, we scope, build, and operate the pipeline.
