We extract product listings, pricing signals, size availability, fabric compositions, and category hierarchies from Phase Eight. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 phase-eight.com. All fields typed and schema-versioned.
"sku": "225134351", "title": "Victoriana Lace Maxi Dress", "category": "Dresses", "price": 189.0, "currency": "GBP", "colour": "Navy", "fit": "Regular"
| # | sku | title | category | sub_category | price | list_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inventory & Sizing objects from phase-eight.com. All fields typed and schema-versioned.
"sku": "225134351", "size_label": "UK 12", "in_stock": true, "low_stock_warning": true, "colour_variant": "Navy", "availability_status": "Low Stock"
| # | sku | size_label | size_code | in_stock | low_stock_warning | stock_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fabric & Care objects from phase-eight.com. All fields typed and schema-versioned.
"sku": "225134351", "material_composition": "100% Polyester", "lining_composition": "100% Recycled Polyester", "wash_care": "Machine Wash Delicate", "iron_instructions": "Cool Iron", "sustainable_fabric": true
| # | sku | material_composition | lining_composition | wash_care | iron_instructions | dry_clean_instructions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Collections & Occasionwear objects from phase-eight.com. All fields typed and schema-versioned.
"sku": "225134351", "collection_name": "Collection 8", "occasion_tags": "['Wedding Guest', 'Evening', 'Party']", "season": "AW25", "style_notes": "Tiered lace skirt with delicate flutter sleeves.", "model_height": "5ft 9in"
| # | sku | collection_name | occasion_tags | season | bridal_category | bridesmaid_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Styling & Outfits objects from phase-eight.com. All fields typed and schema-versioned.
"sku": "225134351", "outfit_id": "OUTFIT-892", "paired_skus": "['750821150', '750811200']", "accessory_skus": "['750821150']", "styling_notes": "Pair with our metallic clutch and strappy heels.", "season_campaign": "Autumn Occasionwear"
| # | sku | outfit_id | paired_skus | accessory_skus | styling_notes | lookbook_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipeline handles the frontend complexities of phase-eight.com, executing JavaScript to expose size availability, dynamic pricing, and high-resolution imagery.
Title, description, category hierarchy, fit notes, and every metadata field Phase Eight surfaces, extracted at the SKU level.
Capture current price, original list price, and markdown percentages across the entire product catalogue.
Track in-stock status and low-stock warnings for every size variant (UK 6 to UK 26).
Parse material percentages, lining details, and sustainability markers for compliance and assortment analysis.
Extract tags for Wedding Guest, Mother of the Bride, Black Tie, and Collection 8 categorisation.
Map parent products to child colour variants, ensuring accurate tracking of inventory across different shades.
Extract URLs for high-resolution product imagery, model shots, and fabric detail close-ups.
Extract pricing and availability data across the UK, EU, and US storefronts with correct currency normalisation.
Run daily catalogue refreshes or configure continuous pipelines with change-detection diffing for inventory alerts.
Brief in. Clean data out.
Provide target categories, specific collections, or full-site requirements. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for phase-eight.com.
Schema validation, null-rate checks, and size-availability accuracy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern retail sites rely heavily on dynamic frontend frameworks. Here is how we maintain data integrity.
Retail sites use WAFs to block automated traffic. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and full cookie session management to ensure uninterrupted extraction.
Phase Eight uses dynamic JavaScript to load size availability and colour variants. We run full Playwright browser sessions to trigger these network requests and capture the hydrated DOM.
Frontend structures change during sales events. Our selector strategy uses fallback chains combining CSS, XPath, and JSON state extraction to ensure reliable data capture.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price changes or stock movements, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing categories, and schema drift, responding before your downstream analytics are affected.
Retailers monitor Phase Eight pricing and markdown cadences to adjust their own promotional strategies.
Merchandising teams analyse occasionwear and dress category depth to inform their own buying decisions.
Track which sizes and colours hit the sale section first to optimise clearance pricing algorithms.
Premium womenswear brands benchmark fabric compositions, origin countries, and price points against Phase Eight.
Fashion analysts track colour proliferation and silhouette changes across new season launches.
Consultancies aggregate sizing availability and pricing data to evaluate brand performance and market positioning.
"Phase Eight holds critical pricing and assortment data for the UK premium womenswear market, accessible only through dedicated extraction pipelines."
Retail intelligence requires accurate, high-frequency data extraction. We handle the residential proxies, JavaScript execution, and daily selector maintenance required to track Phase Eight inventory and pricing. DataFlirt absorbs the infrastructure complexity so your team can focus on assortment analysis and pricing strategy.
Everything supported by our phase-eight.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 interaction flows for dynamic size selectors.
We maintain pools of residential ISP proxies across UK and EU regions. Rotation happens per-request to prevent IP-based blocking by retail WAFs.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About phase-eight.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and sizing data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. This ensures we bypass standard retail WAFs and rate limits without interruption.
Yes. We support extraction across the UK, EU, and US storefronts for Phase Eight, capturing the correct localized pricing, currency, and availability.
Full catalogue refreshes can be configured at a daily cadence. For specific high-priority SKUs, we can configure higher-frequency pipelines to track intra-day stock movements.
Yes. Our pipeline iterates through the dynamic size selectors to capture the exact stock status (in stock, low stock, out of stock) for every size variant.
Our packages start at full-catalogue daily extraction. For custom schema requirements or multi-region tracking, we price based on volume and delivery frequency. Contact us for a scoped quote.
Yes. We provide a sample run of up to 200 products as part of the pre-engagement scoping process, allowing you 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 dump or continuous price-monitoring across the entire assortment — we scope, build, and operate the pipeline. Tell us what you need.