We extract product listings, pricing signals, colour variants, fabric compositions, and store-level inventory from Michael Kors. 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 michaelkors.com. All fields typed and schema-versioned.
"style_number": "30F2GTTT8L", "title": "Jet Set Large Saffiano Leather Tote Bag", "category": "Handbags", "sub_category": "Tote Bags", "material_composition": "100% Saffiano Leather", "hardware_colour": "Gold-Tone", "dimensions": "15"W X 10"H X 4.5"D", "scraped_at": "2023-10-24T08:12:00Z"
| # | style_number | title | category | sub_category | description | material_composition |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Variants objects from michaelkors.com. All fields typed and schema-versioned.
"sku": "30F2GTTT8L-001", "style_number": "30F2GTTT8L", "colour_name": "Black", "size": "One Size", "list_price": 298.0, "sale_price": 149.0, "discount_pct": 50, "currency": "USD"
| # | sku | style_number | colour_name | colour_hex | size | list_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Availability objects from michaelkors.com. All fields typed and schema-versioned.
"sku": "30F2GTTT8L-001", "online_stock_status": "IN_STOCK", "low_stock_warning": true, "stock_quantity": 4, "bopis_eligible": true, "estimated_shipping_date": "2023-10-28", "scraped_at": "2023-10-24T08:12:05Z"
| # | sku | online_stock_status | stock_quantity | low_stock_warning | estimated_shipping_date | bopis_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from michaelkors.com. All fields typed and schema-versioned.
"review_id": "REV-982341", "style_number": "30F2GTTT8L", "rating": 4.8, "review_title": "Perfect everyday bag", "verified_buyer": true, "fit_rating": "True to Size", "submission_date": "2023-09-14"
| # | review_id | style_number | rating | review_title | review_body | reviewer_nickname |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Locator objects from michaelkors.com. All fields typed and schema-versioned.
"store_id": "MK-0492", "store_type": "Lifestyle", "name": "Michael Kors Fifth Avenue", "city": "New York", "state": "NY", "postal_code": "10020", "latitude": 40.7589, "services_offered": "['BOPIS', 'Monogramming', 'Styling Appointment']"
| # | store_id | store_type | name | address_line_1 | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Michael Kors scraper handles Salesforce Commerce Cloud architecture, extracting variant-level pricing, dynamic inventory, and regional catalogues while bypassing advanced anti-bot protections.
Extract dimensions, hardware colour, interior details, handle drops, and material composition for all accessories.
Capture list price, sale price, discount percentages, and final sale flags across all categories.
Map every SKU to its parent style number, capturing specific colour names, hex codes, and size availability.
Parse unstructured description blocks into structured material composition and care instruction fields.
Extract localised pricing and assortment from michaelkors.com, .co.uk, .eu, and other regional domains.
Query store-level stock availability for specific SKUs using postal code and radius parameters.
Identify SKUs eligible for monogramming and extract available customisation options and character limits.
Capture URLs for all product angles, model shots, and detail views at maximum resolution.
Run daily or weekly diffs to identify new arrivals, markdowns, and out-of-stock items without full catalogue re-scrapes.
Brief in. Clean data out.
Provide target categories, regions, or specific style numbers. We map the required data fields.
We configure crawlers to navigate Salesforce Commerce Cloud endpoints and handle Datadome bot mitigation.
Schema validation, price-outlier detection, and variant mapping checks before full production launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Michael Kors uses enterprise-grade bot protection and dynamic frontend rendering. Here is how we maintain reliable data pipelines.
Michael Kors employs strict bot protection. We utilise residential ISP proxies with realistic TLS fingerprints and automated token generation to maintain uninterrupted access.
Rather than scraping HTML, we intercept and parse the underlying Salesforce CC JSON endpoints, ensuring cleaner data extraction and faster pipeline execution.
Luxury apparel features complex colour-size matrices. Our pipeline iterates through all variant permutations to ensure no SKU-level pricing or stock data is missed.
We manage region-specific cookies and headers to accurately extract localised pricing, currency, and inventory for international Michael Kors domains.
We maintain a stateful index of the catalogue. Subsequent runs only export changed records—such as price drops or stockouts—optimising downstream processing.
Retailers track Michael Kors markdowns and promotional cadences to adjust their own pricing strategies.
Fashion analysts monitor category depth, new arrivals, and colour proliferation to forecast seasonal trends.
Brands track global pricing disparities to identify parallel import opportunities or MAP violations.
Supply chain analysts aggregate material composition data to model production costs and sustainability metrics.
Merchandising teams analyse time-to-markdown and discount depth across specific product categories.
Retail strategists evaluate store locations and services offered via the store locator to map physical retail footprints.
"Luxury retail moves on assortment and markdown cadence. Tracking Michael Kors at the SKU level reveals exactly how global inventory is allocated and priced."
Extracting data from Michael Kors requires navigating Salesforce Commerce Cloud endpoints, strict bot mitigation, and complex SKU-variant matrices. DataFlirt manages the proxies, reverse-engineers the API payloads, and normalises the output so your team receives clean, structured catalogue data without the operational overhead.
Everything supported by our michaelkors.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 API endpoint orchestration and deduplication. Playwright executes JavaScript for dynamic regional routing and token generation.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions for maintaining regional context and bypassing Datadome.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About michaelkors.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We can configure the pipeline to target michaelkors.com (US), michaelkors.co.uk (UK), or any other regional domain, capturing the specific pricing, currency, and assortment for that market.
Our pipeline maps the Salesforce Commerce Cloud variant structure. Every size and colour combination is extracted as a distinct SKU record tied to the parent style number, ensuring no price variations are missed.
Yes. We capture both list price and sale price. By running the pipeline on a scheduled cadence (e.g., daily), we can provide diff files that highlight exactly which SKUs received markdowns since the last run.
Yes. We can query the Buy Online Pick Up In Store (BOPIS) endpoints using a list of target postal codes to determine local stock availability for specific items.
Yes. We utilise high-quality residential proxies and automated token generation to reliably access the catalogue without being blocked by Michael Kors' bot mitigation systems.
Pipelines can be configured for daily, weekly, or monthly runs depending on your requirements. Real-time monitoring for specific SKUs is also available.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous markdown monitoring across multiple regions — we scope, build, and operate the pipeline. Tell us what you need.
