We extract luxury bag listings, material specs, pricing across regional storefronts, and inventory status from Strathberry. Delivered as clean JSON, CSV, or Parquet to S3.
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 strathberry.com. All fields typed and schema-versioned.
"sku": "STB-MDT-BLK", "name": "Midi Tote", "collection": "Totes", "price": 645.0, "currency": "GBP", "stock_status": "in_stock"
| # | sku | name | category | collection | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Material & Specs objects from strathberry.com. All fields typed and schema-versioned.
"sku": "STB-MDT-BLK", "material_primary": "100% Calf Leather", "lining": "Microfibre", "hardware_finish": "Gold", "depth_cm": 12.5, "width_cm": 29.5, "height_cm": 24.0
| # | sku | material_primary | lining | hardware_finish | depth_cm | width_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Regional Pricing objects from strathberry.com. All fields typed and schema-versioned.
"sku": "STB-MDT-BLK", "region_code": "US", "price": 850.0, "currency": "USD", "tax_included": false, "duties_included": true, "discount_pct": 0
| # | sku | region_code | price | currency | tax_included | duties_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Variants & Colours objects from strathberry.com. All fields typed and schema-versioned.
"parent_sku": "STB-MDT", "variant_sku": "STB-MDT-BLK", "colour_name": "Black", "hex_code": "#000000", "stock_status": "in_stock", "is_seasonal": false, "limited_edition": false
| # | parent_sku | variant_sku | colour_name | hex_code | swatch_url | stock_status |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Collections Data objects from strathberry.com. All fields typed and schema-versioned.
"collection_name": "East/West", "item_count": 24, "is_collaboration": false, "launch_date": "2017-09-01", "hero_image_url": "https://strathberry.com/east-west.jpg", "description": "Defined by structured silhouettes and the signature bar."
| # | collection_id | collection_name | url | item_count | hero_image_url | description |
|---|---|---|---|---|---|---|
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Extract clean catalogue information from Strathberry. We handle regional routing, variant parsing, and dimension normalisation.
Capture every SKU, including seasonal variations, limited editions, and core collection staples.
Extract localized pricing, currency, and duty inclusion status across 40 global markets via geo-routed requests.
Monitor stock status, low stock warnings, and out-of-stock states for every colour variant.
Extract primary materials, lining composition, and hardware finishes from unstructured product descriptions.
Normalise depth, width, height, weight, and strap drop measurements into structured numeric fields.
Capture direct CDN URLs for all product gallery images, swatches, and lifestyle shots.
Link parent styles to child colourways, preserving the relationship between distinct SKUs.
Identify newly listed SKUs and collection launches through daily diffing against historical runs.
Flag exclusive capsule collections and guest designer collaborations with specific metadata tags.
Configure continuous pipelines at daily or weekly cadences with strict schema validation.
Brief in. Clean data out.
Specify target regions, product categories, and required metadata fields. We design the extraction schema.
We configure Scrapy crawlers, geo-proxies for regional pricing, and parsers for product dimensions.
Schema validation, null-rate checks, and dimension normalisation testing before production launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Extracting data from global luxury brands requires precise regional routing and structured parsing. We manage the complexity.
Strathberry dynamically alters pricing, currency, and duty calculations based on the user location. We route requests through region-specific residential proxies to capture accurate local pricing across 40 global markets.
Product dimensions and material compositions often exist within unstructured HTML blocks. Our parsers use regex and NLP to extract clean numeric values for width, height, depth, and weight, alongside structured material tags.
eCommerce platforms handle variants differently. We trace the DOM structure to link individual colour SKUs back to their parent style, ensuring your database maintains correct product hierarchies.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and providing a clean changelog of price adjustments and stock movements.
Every run emits structured logs. We alert on null-rate spikes, missing pricing nodes, or layout changes, adjusting our selectors before data gaps reach your warehouse.
Luxury brands monitor pricing parity, regional markups, and currency adjustments against Strathberry's global catalogue.
Retail buyers analyse colour distribution, material usage, and silhouette dimensions to inform their own seasonal purchasing.
Fashion analysts track the prevalence of specific leathers, linings, and hardware finishes across new collections.
Market research firms aggregate pricing data to measure inflation impacts and luxury sector resilience.
Brand protection agencies use official high-resolution images and dimension data as ground truth to identify fake listings on third-party marketplaces.
Investors monitor discount frequencies, stockout rates, and collaboration launches to gauge brand health and consumer demand.
"Luxury retail intelligence requires precision. Strathberry's catalogue offers critical signals on pricing parity, material trends, and stock velocity across global markets."
Extracting data from direct-to-consumer luxury brands involves navigating region-locked pricing, dynamic inventory states, and complex variant structures. DataFlirt manages the infrastructure, handling proxy routing and schema maintenance so your analysts receive clean, normalised datasets ready for modelling.
Everything supported by our strathberry.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 executes JavaScript to render dynamic pricing and inventory modules.
Residential ISP proxies routed by country code ensure accurate capture of localised pricing and duty calculations.
Pipelines run on AWS Lambda and ECS. Airflow manages scheduling and dependency trees, storing state in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About strathberry.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible under applicable law. DataFlirt extracts only public catalogue data. We do not bypass authentication walls or extract personal customer data.
We route our extraction requests through residential proxies located in the target region. This ensures the site serves the correct local currency, pricing tier, and duty information.
Yes. We capture the inventory status for every variant. If an item moves from in-stock to out-of-stock, the change detection system logs the transition.
For a catalogue of this size, we typically run daily extractions. However, we can configure hourly runs for specific high-priority SKUs if required.
Yes. We parse the product description and details sections to extract height, width, depth, weight, and strap drop measurements, normalising them into numeric fields.
Our pipelines use multi-layer fallback selectors. If a layout change breaks the primary selector, the system alerts our engineers while attempting fallback extraction methods. We maintain the schema.
We scope engagements based on delivery frequency and the number of regional storefronts required. Contact us to define your schema and receive a tailored quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Specify the regions and product categories you need tracking. We build, manage, and monitor the extraction infrastructure.
