We extract luxury fashion catalogues, designer collections, global pricing, and size availability from Mytheresa. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
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 mytheresa.com. All fields typed and schema-versioned.
"sku": "P00812345", "designer": "Gucci", "product_name": "GG Marmont leather shoulder bag", "price": 1850.0, "currency": "EUR", "colour": "Black", "material": "100% calf leather", "made_in": "Italy"
| # | sku | designer | product_name | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Sales objects from mytheresa.com. All fields typed and schema-versioned.
"sku": "P00812345", "price_regular": 1850.0, "price_sale": 1480.0, "discount_pct": 20, "currency": "EUR", "region": "EU", "sale_campaign": "Summer Sale", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | price_regular | price_sale | discount_pct | currency | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Size & Inventory objects from mytheresa.com. All fields typed and schema-versioned.
"sku": "P00812345", "size_system": "IT", "size_value": "38", "in_stock": true, "low_stock_warning": true, "stock_depth": 2, "backorder_eligible": false, "scraped_at": "2026-05-12T09:14:33Z"
| # | sku | size_system | size_value | in_stock | low_stock_warning | stock_depth |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Designer Profiles objects from mytheresa.com. All fields typed and schema-versioned.
"designer_id": "D104", "name": "Gucci", "country_of_origin": "Italy", "active_sku_count": 1450, "collection_season": "SS26", "gender_focus": "Womenswear", "profile_url": "https://www.mytheresa.com/en-de/designers/gucci.html"
| # | designer_id | name | description | country_of_origin | active_sku_count | collection_season |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Categories & Navigation objects from mytheresa.com. All fields typed and schema-versioned.
"category_id": "C200", "name": "Shoulder Bags", "parent_category": "Bags", "breadcrumb": "Home > Bags > Shoulder Bags", "product_count": 3420, "filters_available": "['Designer', 'Colour', 'Material', 'Price']", "url": "https://www.mytheresa.com/en-de/bags/shoulder-bags.html"
| # | category_id | name | parent_category | breadcrumb | url | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mytheresa scraper handles regional gateways, multi-currency pricing, and dynamic inventory states. We bypass bot mitigation to deliver structured fashion data directly to your warehouse.
Extract designer names, product titles, descriptions, care instructions, and fabric compositions across all categories.
Capture pricing across different regional endpoints. Track regular prices, sale prices, and currency variations.
Map size availability across different sizing systems. Extract fit notes, measurement charts, and model dimensions.
Extract URLs for all product images, including alternate angles, detail shots, and model styling views.
Parse unstructured text into structured material data. Separate outer composition, lining materials, and hardware details.
Track stock availability at the size level. Identify low stock warnings and out-of-stock variations.
Monitor seasonal sales, promotional campaigns, and percentage discounts applied to specific SKUs.
Aggregate product counts and collection details per designer to track brand presence and assortment depth.
Run daily catalogue refreshes or monitor specific high-value items for price drops and restocks at hourly cadences.
Brief in. Clean data out.
Provide target designers, categories, or specific URLs. We design the extraction schema together.
We configure Scrapy crawlers, regional proxy routing, and bot mitigation handling for mytheresa.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Mytheresa uses regional gateways and strict bot mitigation. Here is how we maintain reliable data flow.
Mytheresa blocks datacentre IPs. We route requests through residential proxies located in the target region to bypass basic IP filtering and rate limits.
Product availability and specific pricing tiers are loaded dynamically. We use Playwright to execute JavaScript and capture the fully rendered DOM.
Pricing and availability change based on the user location. We configure session headers and proxies to match the specific regional endpoint required for your data.
E-commerce layouts change frequently during sale seasons. We use multiple selector fallbacks to ensure data extraction continues without interruption.
We monitor extraction yields and null rates. If Mytheresa updates their frontend architecture, our team is alerted immediately to patch the pipeline.
Luxury retailers monitor competitor pricing, discount strategies, and regional price variations to optimise their own margins.
Merchandising teams analyse designer brand presence, category depth, and new arrival velocity to inform buying decisions.
Fashion analysts track colour popularity, material usage, and silhouette trends across different collections.
Machine learning teams use structured product descriptions and high-resolution imagery to train computer vision and recommendation models.
E-commerce platforms benchmark their product catalogue size and brand exclusivity against Mytheresa.
Luxury brands audit pricing to ensure retailers adhere to Minimum Advertised Price agreements globally.
"Mytheresa holds the definitive catalogue of luxury fashion inventory and pricing, but extracting it requires navigating strict regional gateways and bot mitigation."
Extracting luxury fashion data requires handling complex product variations, sizing charts, and geo-fenced pricing. DataFlirt manages the proxy rotation, JavaScript execution, and schema maintenance. Your engineering team receives clean data without touching the infrastructure.
Everything supported by our mytheresa.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 retry logic. Playwright handles JavaScript rendering and dynamic content hydration.
We maintain pools of residential proxies to bypass datacentre IP blocks and access region-specific pricing.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About mytheresa.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We use localised residential proxies and session configurations to extract region-specific pricing and currency data from Mytheresa.
Our schema maps parent products to child variations, capturing stock status and pricing for every available size under a specific SKU.
We extract the direct URLs to the highest resolution images available on the product page, including all alternate views and detail shots.
Full catalogue refreshes typically run daily or weekly. We can configure higher frequency runs for specific high-priority categories or designers.
Yes. We extract the material text and parse it into structured fields, separating outer materials, lining, and hardware components.
We provide a sample extraction of up to 500 products during the scoping phase to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily catalogue sync or continuous price monitoring across luxury brands. Tell us your requirements.
