We extract product listings, pricing signals, sale event windows, sustainability material attributes, size-level availability, and new arrival velocity from Weekday. 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 weekday.com. All fields typed and schema-versioned.
"product_id": "0942818001", "title": "Wide Leg Denim Jeans - Relaxed Fit", "gender": "Women", "price": 69.99, "currency": "EUR", "conscious_flag": true, "recycled_content_pct": 68, "sizes_available": "['XS','S','M']", "sizes_sold_out": "['L','XL']", "new_arrival_flag": true
| # | product_id | title | collection | gender | age_group | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Sales objects from weekday.com. All fields typed and schema-versioned.
"product_id": "0942818001", "price": 48.99, "original_price": 69.99, "discount_pct": 30, "sale_flag": true, "sale_label": "Up to 40% off", "market": "SE", "currency": "SEK", "price_timestamp": "2026-05-12T08:30:00Z"
| # | product_id | price | original_price | discount_pct | sale_flag | sale_label |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Sustainability Data objects from weekday.com. All fields typed and schema-versioned.
"product_id": "0942818001", "conscious_flag": true, "sustainability_label": "Conscious Choice", "recycled_content_pct": 68, "fabric_composition": "68% recycled cotton, 32% organic cotton", "country_of_origin": "Portugal", "bci_cotton_flag": true
| # | product_id | conscious_flag | sustainability_materials | recycled_content_pct | organic_content_pct | fabric_composition |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Size Availability objects from weekday.com. All fields typed and schema-versioned.
"product_id": "0942818001", "colour_name": "Washed Denim Blue", "market": "DE", "size_name": "S", "size_availability": "in_stock", "last_checked": "2026-05-12T08:35:00Z"
| # | product_id | colour_name | market | size_name | size_availability | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Weekday scraper covers the full catalogue: product data with sustainability attributes, size-level availability across markets, sale event detection, new arrival velocity, and fabric composition — with JavaScript rendering and anti-bot circumvention built in.
Title, collection, gender, fit type, colour, pattern, fabric composition, care instructions, and images — scraped at product ID level across all Weekday categories and gender lines.
Conscious Choice flag, recycled content percentage, organic content percentage, BCI cotton flag, sustainability label, and country of origin — structured sustainability intelligence from every product page.
Track in-stock and sold-out status per size and colour across Weekday's European and global markets — a leading demand signal for each size curve without internal sales data.
Detect new product introductions the day they go live — capturing product IDs, categories, price points, and sustainability flags for every new drop as it hits the site.
Monitor everyday prices, sale discount percentages, and sale labels across all Weekday markets — timestamped per crawl for promotional pattern analysis and markdown timing research.
Track prices simultaneously across Weekday's European and global storefronts — SE, DE, GB, FR, US and more — with market-native currencies and sale flag detection per country.
Extract all colour and size variants per product — with fit type (relaxed, slim, wide leg, oversized) and colour name structured per variant.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing on pricing and availability.
Weekday sits within the H&M Group alongside COS, & Other Stories, and Arket. Our pipelines can be extended to cover sibling brands under a unified schema for group-level assortment analysis.
Brief in. Clean data out.
Provide product ID lists, category URLs, gender filters, or market selections. We design the extraction schema and sustainability field coverage together.
We configure Scrapy / Playwright crawlers, market-matched proxy pools, and size availability querying for weekday.com across all selected storefronts.
Schema validation, sustainability field completeness checks, size availability sampling, and new arrival detection calibration before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Weekday's React-rendered storefront, multi-market deployment, and sustainability data layer each present distinct extraction challenges. Here's how we stay resilient.
Weekday's storefront is a fully React-rendered single-page application. We run complete Playwright browser sessions with JavaScript execution, scroll-triggered lazy loading, and dynamic size-selector hydration — capturing availability and sustainability data that headless HTTP clients miss.
Weekday's sustainability data — recycled content percentages, conscious choice flags, BCI cotton attribution, country of origin — is embedded in varying page structures. We maintain dedicated extraction paths per field with fallback parsing to ensure completeness across the full catalogue.
Weekday adds new products multiple times per week. Our category-level hash-diffing layer flags new product IDs on each run — delivering structured new arrival records the day they appear, without requiring a full catalogue re-scrape.
Weekday prices and size availability differ across its European and global markets. We manage separate crawl contexts per market — including locale paths, currency parameters, and market-specific cookie sessions — to deliver accurate market-native data.
Every run emits structured logs to our observability stack. We alert on sustainability field null-rate spikes, price anomalies, new arrival detection failures, and schema drift — and respond before you notice.
Brands, ESG analysts, and sustainability researchers extract Weekday's recycled content percentages, conscious material flags, and origin data to benchmark fashion brand sustainability claims at the product level.
Competing brands and category managers track Weekday pricing, sale timing, and discount depth across European markets to benchmark positioning in the contemporary fashion segment.
Trend forecasters and product teams track Weekday's new arrival velocity by category, fit, colour, and fabric — identifying which product types the brand is investing in each season.
Merchandisers extract size-level availability signals to infer sell-through rates and demand distribution by size — a powerful proxy for consumer demand without access to Weekday's internal data.
Strategy teams and analysts use Weekday data alongside COS, Arket, and & Other Stories data to map H&M Group's portfolio positioning, sustainability progress, and price architecture across brands.
ML teams use Weekday product images, sustainability attributes, and structured style tags to train sustainable fashion classifiers, garment attribute extractors, and visual trend models.
"Weekday sits at the intersection of contemporary fashion and sustainability — and its structured material data, multi-market pricing, and rapid new arrival cadence make it an unusually rich signal source for fashion intelligence."
Weekday's catalogue is smaller than fast-fashion giants but moves quickly, with multiple weekly drops and sustainability data layered on every product. Extracting it reliably requires React rendering, market-matched proxies, and dedicated sustainability field parsing — all absorbed by DataFlirt.
Everything supported by our weekday.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, new arrival diffing, and retry logic. Playwright handles Weekday's React SPA rendering, market-specific cookie sessions, and dynamic size-selector interactions.
We maintain market-matched residential ISP proxy pools for each Weekday storefront. Rotation happens per-request to ensure locally-accurate pricing, availability, and sale badge rendering.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 weekday.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and availability data from Weekday is generally permissible under applicable EU and international law. DataFlirt targets only public, non-authenticated data and does not extract personal data, circumvent authentication walls, or violate GDPR. We recommend clients review Weekday's ToS independently and consult legal counsel for specific use cases.
We support Sweden, Germany, United Kingdom, France, the United States, and additional markets on request. Each storefront is crawled with its own residential proxy context and locale configuration for accurate market-native data.
Sustainability fields — recycled content %, conscious choice flag, BCI cotton, sustainability label — are extracted via dedicated parsing paths with multiple fallbacks. We report null-rates per field on every run so you can see exactly where data is present vs absent on Weekday's product pages.
Our category-level hash-diffing runs on every pipeline cycle. New product IDs are flagged the same day they appear on weekday.com — typically within a few hours of a drop going live.
Absolutely. We provide a sample run of up to 500 products across your selected markets — including all sustainability fields and size availability — so you can validate completeness before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off sustainability attribute export or a continuous new arrival, pricing, and size availability monitoring feed — we scope, build, and operate the pipeline.
