We extract sneaker release calendars, real-time stock depth, sizing availability, and brand catalogues from BSTN. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Sneaker Drops objects from bstn.com. All fields typed and schema-versioned.
"sku": "DZ5485-052", "title": "Air Jordan 1 Retro High OG", "brand": "Jordan", "release_date": "2026-05-15T08:00:00Z", "price": 189.99, "currency": "EUR", "raffle_status": "upcoming", "sizes_available": "['US 7', 'US 8', 'US 9', 'US 10']"
| # | sku | title | brand | release_date | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Apparel Catalogue objects from bstn.com. All fields typed and schema-versioned.
"sku": "STN-8291", "name": "Nylon Metal Overshirt", "brand": "Stone Island", "category": "Apparel", "price": 450.0, "sale_price": 360.0, "discount_pct": 20, "sizes_in_stock": "['M', 'L', 'XL']"
| # | sku | name | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Inventory objects from bstn.com. All fields typed and schema-versioned.
"sku": "DZ5485-052", "base_price": 189.99, "current_price": 189.99, "currency": "EUR", "is_sale": false, "stock_status": "in_stock", "restock_timestamp": "2026-05-12T09:14:00Z"
| # | sku | base_price | current_price | currency | is_sale | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Archives objects from bstn.com. All fields typed and schema-versioned.
"brand_name": "Nike", "total_products": 1248, "active_skus": 892, "latest_release_date": "2026-05-14", "average_price": 135.5, "top_categories": "['Footwear', 'Apparel', 'Accessories']", "brand_url": "https://www.bstn.com/eu_en/brands/nike.html"
| # | brand_name | total_products | active_skus | latest_release_date | category_split | average_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from bstn.com. All fields typed and schema-versioned.
"keyword": "dunk low", "position": 1, "sku": "DD1391-100", "title": "Nike Dunk Low Retro", "price": 119.99, "is_new": true, "is_sale": false, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | sku | title | price | is_new |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our BSTN scraper handles the complexities of sneaker retail: dynamic sizing grids, aggressive bot mitigation, release countdowns, and cross-region pricing variations.
Monitor BSTN upcoming drops, release dates, and countdown timers. Extract precise launch windows for limited editions.
Extract stock availability per size variant. Map parent SKUs to child size variants with accurate in-stock flags.
Track open, closed, and upcoming raffle states. Capture entry windows and participation requirements.
Capture regional pricing variations across EUR, USD, and GBP subdirectories with currency normalisation.
Extract CDN URLs for product galleries, detail shots, and 360-degree views directly from the source.
Track markdowns, seasonal sale events, and clearance inventory. Calculate absolute and percentage discounts.
Isolate extraction pipelines to specific brands like Nike, Jordan, Stone Island, or Patta.
Bypass Cloudflare and sneaker-specific bot mitigation systems using TLS fingerprint spoofing and residential proxies.
Receive HTTP POST payloads the millisecond a restock is detected on targeted SKUs.
Brief in. Clean data out.
Provide brand URLs, release calendar links, or specific SKUs. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and bot-mitigation bypass for bstn.com.
Schema validation, null-rate checks, and size-grid accuracy testing before full launch.
Data pushed to S3, BigQuery, or via webhook on agreed cadence.
Sneaker retailers employ aggressive bot protection. We maintain stable extraction pipelines despite high-security perimeters.
Sneaker sites use aggressive WAFs. We spoof TLS fingerprints, manage browser headers, and rotate EU residential proxies to simulate legitimate consumer traffic.
Apparel and footwear require strict parent-child SKU mapping. We link base models to specific size variants to ensure accurate stock reporting.
We execute high-frequency polling on specific SKUs using distributed infrastructure, allowing sub-minute detection without triggering IP bans.
We monitor state changes from 'upcoming' to 'live' on the release calendar, capturing exact launch timestamps and raffle transitions.
We route requests through region-specific proxies to extract and structure pricing across multiple BSTN regional subdirectories.
Sneaker communities and reselling platforms monitor inventory changes to trigger member alerts.
Retailers track BSTN sale events and baseline pricing for premium streetwear.
Secondary market platforms ingest retail release volumes and sizing curves to predict resale value.
Apparel brands audit BSTN for MAP compliance, discounting rules, and merchandising standards.
Analysts track stock depletion rates on limited drops to model demand signals.
eCommerce aggregators extract high-quality imagery and material descriptions for internal catalogues.
"Sneaker release data is highly volatile and heavily protected. Capturing accurate stock depth and sizing grids requires bypassing enterprise bot mitigation."
Extracting data from premium streetwear retailers like BSTN involves navigating aggressive WAFs, dynamic JavaScript rendering, and rapid inventory shifts. DataFlirt manages the proxy rotation, TLS spoofing, and session handling so you receive clean JSON payloads the moment a product drops or restocks.
Everything supported by our bstn.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.
We maintain pools of EU residential proxies combined with Playwright stealth plugins to bypass WAFs and sneaker-specific bot protections.
Redis-backed state management enables rapid restock detection and change-data capture without persistent database writes.
Pipelines run on Kubernetes clusters orchestrated by Airflow, ensuring reliable execution and SLA-backed delivery.
Data delivered to where your team already works — no new tooling required.
About bstn.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from BSTN is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and release data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. This bypasses WAFs and allows consistent data extraction during high-traffic drops.
Yes. We configure high-frequency polling pipelines for specific SKUs and deliver sub-minute notifications via HTTP webhook the moment stock status changes.
Yes. We map the entire sizing grid for footwear and apparel, capturing in-stock and out-of-stock flags for every individual size variant.
We route requests through region-specific proxy pools to capture localised pricing across EUR, GBP, and USD subdirectories.
Yes. We continuously scrape the BSTN release calendar for new additions, date changes, and raffle status updates.
No. We only extract data. We do not automate purchases, cart additions, or raffle submissions.
20-minute scoping call. Pilot dataset within the week. Production within two. From sneaker release calendars to real-time restock monitors - we engineer and maintain the extraction infrastructure. Tell us your requirements.
