We extract designer collections, geo-specific pricing, stock depth, and fabric compositions from Matchesfashion. 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 matchesfashion.com. All fields typed and schema-versioned.
"product_id": "1425678", "brand": "Gucci", "title": "GG-jacquard wool-blend cardigan", "price": 980.0, "currency": "GBP", "colours": "['Navy', 'Red']", "available_sizes": "['S', 'M', 'L']", "materials": "['98% wool', '2% polyamide']"
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Complete list of extractable fields for Pricing & Inventory objects from matchesfashion.com. All fields typed and schema-versioned.
"sku": "GUC-1425678-NVY", "current_price": 980.0, "original_price": 980.0, "discount_pct": 0, "is_sale": false, "stock_status": "In Stock", "low_stock_warning": true, "shipping_country": "UK"
| # | sku | brand | current_price | original_price | currency | discount_pct |
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Complete list of extractable fields for Editorial & Curator objects from matchesfashion.com. All fields typed and schema-versioned.
"article_id": "ed-2023-autumn-edit", "title": "The Autumn/Winter 2023 Trend Report", "category": "Trend Report", "featured_brands": "['Bottega Veneta', 'Prada']", "featured_products": "['1432111', '1456992']", "publish_date": "2023-09-01T10:00:00Z"
| # | article_id | title | author | publish_date | category | featured_brands |
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Our Matchesfashion scraper handles geo-fenced pricing, dynamic stock indicators, and complex size mappings across 650+ designer brands — with JavaScript rendering and anti-bot circumvention built in.
Designers, categories, materials, care instructions, and high-res imagery extracted at scale.
Extract localised pricing and currency data based on target shipping destinations and regional sessions.
Capture available sizes across IT, UK, FR, and US metrics, alongside specific model measurements.
Track 'Low in stock' warnings and exact size unavailability across the entire catalogue.
Monitor seasonal clearances, discount percentages, and promotional pricing events.
Extract featured products and brand mentions from 'The Curator' editorial sections.
Brief in. Clean data out.
Provide target designers, categories, or regions. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and anti-bot handling for matchesfashion.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or warehouse on agreed cadence.
Luxury retailers deploy aggressive WAFs and dynamic geo-pricing. Here's how we stay resilient — and why teams choose managed infrastructure.
Matchesfashion uses strict WAFs. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass heuristic blocks.
Prices vary drastically by shipping destination. We maintain persistent regional sessions to extract accurate local pricing and tax-inclusive values for your target markets.
Dynamic size selectors and stock warnings require DOM interaction. We run full Playwright browser sessions to hydrate client-side state and capture data hidden from standard HTTP clients.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs — reducing compute cost, storage bloat, and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, brand catalogue drops, and WAF blocks — responding before you notice. SLA uptime is contractual.
Luxury retailers track markdown cadences and seasonal sale percentages across competitor platforms to optimise their own pricing strategies.
Fashion houses audit third-party retailers for minimum advertised price violations and unauthorised discounting.
Merchandisers analyse category depth, brand onboarding, and editorial focus to predict upcoming seasonal trends.
Buyers track stock depletion rates and size-level availability to optimise their own purchasing models.
Analysts monitor price discrepancies across US, UK, EU, and APAC regions for identical luxury SKUs.
Computer vision teams extract high-res garment imagery and structured material data to train fashion classification models.
"Matchesfashion holds a highly curated dataset of luxury pricing, material taxonomy, and brand relationships — but accessing it requires bypassing enterprise WAFs."
Most teams underestimate the investment required: reliable luxury retail scraping requires residential proxies, strict geo-session management, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on analysis — not WAF bypasses.
Everything supported by our matchesfashion.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 handles JavaScript rendering, cookie sessions, and WAF challenges.
We maintain pools of residential ISP proxies across UK/US/EU regions to ensure accurate geo-pricing extraction without WAF blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About matchesfashion.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public product and pricing data. We do not extract personal data or circumvent authentication walls.
We route requests through region-specific residential proxies and maintain persistent browser sessions with the target shipping destination set via cookies.
Yes. We extract exact size availability and 'Low in stock' indicators for every SKU by interacting with the dynamic size selectors.
Full catalogue refreshes typically run daily or weekly. Targeted pipelines for specific high-velocity brands can run at hourly cadences.
Yes. We parse the source image arrays to deliver the highest resolution CDN URLs available for each product angle.
Our smallest packages start at a defined brand list or category subset with weekly delivery. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off luxury catalogue dump or continuous price-monitoring across 600+ brands — we scope, build, and operate the pipeline. Tell us what you need.
