We extract designer collections, product metadata, pricing signals, and inventory states from Bergdorf Goodman. 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 Metadata objects from bergdorfgoodman.com. All fields typed and schema-versioned.
"sku": "BG-104928A", "designer": "Brunello Cucinelli", "product_name": "Cashmere Zip-Front Cardigan", "category": "Men", "sub_category": "Sweaters", "made_in": "Italy", "material": "100% Cashmere", "style_number": "M2200100"
| # | sku | designer | product_name | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Sales objects from bergdorfgoodman.com. All fields typed and schema-versioned.
"sku": "BG-104928A", "retail_price": 2495.0, "sale_price": 2495.0, "discount_pct": 0, "currency": "USD", "is_final_sale": false, "promotion_text": "None", "price_timestamp": "2026-10-14T08:12:00Z"
| # | sku | retail_price | sale_price | discount_pct | currency | is_final_sale |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inventory & Variants objects from bergdorfgoodman.com. All fields typed and schema-versioned.
"sku": "BG-104928A", "colour": "Navy", "size": "L", "in_stock": true, "stock_level": 3, "pre_order_eligible": false, "expected_ship_date": "None", "variant_id": "V-993821"
| # | sku | colour | size | in_stock | stock_level | backorder_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Media & Assets objects from bergdorfgoodman.com. All fields typed and schema-versioned.
"sku": "BG-104928A", "primary_image_url": "https://images.bergdorfgoodman.com/ca/1/product_assets/M/2/2/0/0/BGM2200_mz.jpg", "alternate_image_urls": "['https://images.bergdorfgoodman.com/ca/1/product_assets/M/2/2/0/0/BGM2200_az.jpg']", "video_url": "None", "image_alt_text": "Brunello Cucinelli Cashmere Zip-Front Cardigan", "asset_timestamp": "2026-10-14T08:12:05Z", "designer_logo_url": "https://images.bergdorfgoodman.com/ca/1/designer_logos/brunello_cucinelli.png"
| # | sku | primary_image_url | alternate_image_urls | video_url | lookbook_url | image_alt_text |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Category Taxonomy objects from bergdorfgoodman.com. All fields typed and schema-versioned.
"breadcrumbs": "['Men', 'Clothing', 'Sweaters', 'Cardigans']", "primary_category": "Clothing", "sub_category": "Cardigans", "designer_id": "D-0042", "gender": "Men", "season": "AW26", "page_url": "https://www.bergdorfgoodman.com/p/brunello-cucinelli-cashmere-zip-front-cardigan"
| # | breadcrumbs | primary_category | sub_category | designer_id | gender | season |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Bergdorf Goodman scraper handles complex luxury retail structures: designer taxonomy, dynamic inventory grids, high-resolution media, and geo-pricing — with JavaScript rendering and anti-bot circumvention built in.
SKU, product name, designer, description, fabric details, and care instructions scraped at the variant level.
Capture retail price, sale price, discount percentages, and promotional text timestamped per crawl.
Extract stock status, low stock warnings, and availability per specific colour and size combination.
Extract primary images, alternate views, and video URLs directly from the content delivery network.
Map brand extraction, seasonal collections, and precise category breadcrumbs for assortment analysis.
Monitor pre-order eligibility and expected shipping dates for high-demand luxury items.
Extract localized pricing and multi-currency support across different international shipping destinations.
Track Designer Sale events, final sale flags, and markdown cadences across the catalogue.
Run one-off bulk exports or configure continuous pipelines with change-detection diffing.
Brief in. Clean data out.
Provide designer URLs, category paths, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for bergdorfgoodman.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
High-end retailers deploy strict anti-scraping measures. Here is how we maintain data flow without interruption.
Enterprise bot protection operates on TLS fingerprints and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints, trained on real user behaviour patterns to bypass Akamai and PerimeterX.
Product pages and inventory sizing grids are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to capture stock data that headless HTTP clients miss entirely.
Retailers change DOM structure frequently. Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and structured data extraction — so a layout change does not break your data pipeline.
For large designer catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and coverage drops — and respond before you notice.
Retailers monitor luxury markdowns, promotional events, and pricing strategies to optimise their own margins.
Luxury brands audit retail partners for MAP violations and unauthorised discounting across channels.
Analysts track assortment changes, new designer additions, and category saturation to identify fashion trends.
Supply chain teams estimate stock depth and restock cadences for high-demand luxury items.
Machine learning teams use structured apparel datasets to train recommendation engines and visual search classifiers.
Investors track category leaders and seasonal collection launches to evaluate retail performance.
"Bergdorf Goodman holds the definitive catalogue for luxury fashion pricing and assortment, but accessing this data programmatically requires bypassing enterprise-grade bot mitigation."
Luxury retailers invest heavily in protecting their catalogues. Reliable extraction requires residential proxies, full JavaScript rendering for dynamic inventory grids, and strict session management. DataFlirt absorbs this infrastructure complexity so your team can focus on assortment analysis and pricing strategy.
Everything supported by our bergdorfgoodman.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 bergdorfgoodman.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail websites is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and inventory data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to navigate protections like Akamai and PerimeterX.
Yes. We configure pipelines to target specific shipping destinations, allowing extraction of localized pricing and currency data.
Pipelines can be configured for daily refreshes or higher frequency monitoring during major sale events like the Designer Sale.
Yes. We map parent-child SKU relationships and extract availability, pricing, and imagery for every active colour and size combination.
Our smallest packages start at a defined designer list or category set with weekly delivery. For full catalogue extraction, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off designer catalogue dump or a continuous price-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
