We extract sneaker catalogues, global pricing tiers, size availability, and sustainability metrics from Veja-Store. 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 veja-store.com. All fields typed and schema-versioned.
"sku": "VX0202888", "model_name": "V-10", "colourway": "Extra White Black", "category": "Sneakers", "price": 165.0, "currency": "EUR", "is_vegan": false, "made_in": "Brazil"
| # | sku | model_name | colourway | category | gender | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Regional objects from veja-store.com. All fields typed and schema-versioned.
"sku": "VX0202888", "region_code": "UK", "price_local": 145.0, "currency": "GBP", "tax_included": true, "discount_pct": 0, "price_timestamp": "2026-05-12T08:14:00Z"
| # | sku | region_code | price_local | currency | tax_included | shipping_tier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Sizing objects from veja-store.com. All fields typed and schema-versioned.
"sku": "VX0202888", "size_eu": "42", "size_us_men": "9", "size_uk": "8", "in_stock": true, "low_stock_warning": false, "scraped_at": "2026-05-12T08:14:05Z"
| # | sku | size_eu | size_us_men | size_us_women | size_uk | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Specs objects from veja-store.com. All fields typed and schema-versioned.
"sku": "VX0202888", "upper_material": "C.W.L. (organic cotton coated with a resin from P.U., corn starch and ricinus oil)", "panels_material": "C.W.L. and vegan suede", "logo_v_material": "Amazonian rubber (26%)", "outsole_composition": "Amazonian rubber (31%)", "lining_material": "Tech (100% recycled polyester)", "laces_material": "Organic cotton (100%)"
| # | sku | upper_material | panels_material | logo_v_material | insole_composition | outsole_composition |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Collaborations objects from veja-store.com. All fields typed and schema-versioned.
"sku": "M0803014", "collab_brand": "Marni", "collection_name": "Veja x Marni", "limited_edition": true, "max_pairs_per_customer": 2, "drop_timestamp": "2025-09-15T10:00:00Z", "marketing_copy": "A colourful interpretation of the V-15."
| # | sku | collab_brand | collection_name | designer | limited_edition | drop_timestamp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our infrastructure captures global pricing tiers, granular material compositions, and real-time size availability across all regional Veja storefronts.
Model names, colourways, categories, and high-resolution image URLs scraped across the entire product catalogue.
Capture localised pricing in EUR, USD, GBP, and BRL by routing requests through regional proxy networks.
Track in-stock status and low-stock warnings across all EU, US, and UK size variants per SKU.
Extract detailed sustainability metrics including upper materials, Amazonian rubber percentages, and vegan certifications.
Monitor out-of-stock SKUs and trigger alerts or downstream webhooks when specific sizes return to inventory.
Isolate limited-edition drops and designer collaborations with separate metadata fields.
Map Veja proprietary size grids to standard EU, US Men, US Women, and UK equivalents automatically.
Run stock checks at minute-level intervals during high-traffic collaboration releases.
Maintain a hash index of product states. Only push records to your warehouse when price or stock changes.
Brief in. Clean data out.
Provide target regions, update frequencies, and specific data points like materials or stock levels.
We configure Scrapy crawlers, regional proxy routing, and JavaScript execution for dynamic size grids.
Schema validation, null-rate checks, and currency normalisation tests before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Modern eCommerce platforms utilise aggressive geo-routing and dynamic rendering. We handle the infrastructure complexity.
Veja-Store forces redirects based on IP geolocation to display local pricing and stock. We use strict residential proxy targeting to maintain sessions within specific countries, ensuring accurate EUR, USD, and GBP data.
Size availability and low-stock indicators are loaded via asynchronous JavaScript after the initial page request. We use Playwright to execute the JS environment and capture the hydrated DOM state.
Sustainability data is often presented in unstructured bullet points. Our pipeline applies regex and NLP parsing to structure percentages of Amazonian rubber, organic cotton, and recycled polyester into queryable fields.
High-frequency stock polling during limited drops triggers rate limits. We distribute requests across thousands of residential IPs with randomised delays to maintain access without triggering blocks.
Shoe sizing varies by region. We map Veja raw size outputs to a normalised schema containing EU, US, and UK equivalents for immediate downstream analysis.
Fashion analysts track material composition and fair trade sourcing metrics to benchmark sustainability claims across the footwear industry.
Retailers and distributors monitor price differentials across EU, US, and UK regions to identify grey market opportunities and MAP violations.
Supply chain teams track restock frequencies and size-level depletion rates to model consumer demand for specific colourways.
Footwear brands monitor Veja pricing strategies, product launch cadences, and collaboration announcements.
Sneaker resale platforms correlate retail stock depletion with secondary market premiums for limited edition models.
Consultancies aggregate category distribution (vegan vs leather) to analyse consumer shifts towards sustainable materials.
"Veja-Store holds the blueprint for sustainable footwear pricing and material sourcing, but tracking global stock requires dedicated infrastructure."
Extracting data from Veja-Store requires managing geo-redirects, local currency normalisation, and real-time inventory checks across multiple regions. DataFlirt handles proxy routing, JavaScript execution, and schema maintenance so your team can focus on market analysis rather than crawler maintenance.
Everything supported by our veja-store.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 utilise strict residential proxy pools to bypass Cloudflare and Akamai geo-routing, ensuring data is captured accurately for the target region.
Scrapy combined with Playwright handles high-concurrency requests while successfully executing the JavaScript required for inventory rendering.
Custom Python middleware parses unstructured material descriptions and normalises size grids before data hits your warehouse.
Data delivered to where your team already works — no new tooling required.
About veja-store.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and stock information is generally permissible under applicable laws. DataFlirt extracts only public data and does not bypass authenticated wholesale portals or extract personal customer information.
Veja-Store redirects users based on IP location. We configure our crawlers to use specific residential proxies located in the target region (e.g., France for EUR, New York for USD) to capture accurate local pricing and tax information.
Yes. We can configure high-frequency polling pipelines that check specific URLs at minute-level intervals to capture stock status the moment a collaboration is released.
We use custom parsers to extract data from Veja's product descriptions. This allows us to output structured fields for upper materials, lining, outsoles, and the specific percentages of Amazonian rubber or recycled polyester used.
Yes. We map the raw size data presented on the site to a standardised schema that includes EU, US Men, US Women, and UK sizes to ensure compatibility with your existing databases.
We deliver data in JSON, CSV, XLS, and Parquet. Files can be pushed directly to AWS S3, Google Cloud Storage, BigQuery, Snowflake, or sent via Webhook for real-time alerting.
For full catalogue scrapes, clients typically request daily or weekly runs. For specific high-demand SKUs, we can configure hourly or minute-level stock monitoring.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily catalogue sync or real-time stock monitoring for limited drops, we manage the infrastructure. Specify your requirements today.
