We extract product listings, pricing signals, sizing availability, and fabric compositions from Ted Baker. 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 tedbaker.com. All fields typed and schema-versioned.
"sku": "268491-BLACK", "title": "Wool Blend Tailored Overcoat", "brand": "Ted Baker", "primary_category": "Menswear", "gender": "Men", "colour": "Black", "available_sizes": "['36R', '38R', '40R', '42R']"
| # | sku | title | brand | primary_category | sub_category | gender |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from tedbaker.com. All fields typed and schema-versioned.
"sku": "268491-BLACK", "current_price": 245.0, "original_price": 350.0, "currency": "GBP", "discount_pct": 30, "on_sale": true, "promotion_text": "Winter Sale - 30% Off", "price_timestamp": "2023-11-14T08:12:00Z"
| # | sku | current_price | original_price | currency | discount_pct | on_sale |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Sizing objects from tedbaker.com. All fields typed and schema-versioned.
"sku": "268491-BLACK", "size_label": "38R", "in_stock": true, "low_stock_warning": true, "stock_status_text": "Only 2 left in stock", "colour_variant": "Black", "updated_at": "2023-11-14T08:12:05Z"
| # | sku | size_id | size_label | in_stock | low_stock_warning | stock_status_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Care objects from tedbaker.com. All fields typed and schema-versioned.
"sku": "268491-BLACK", "fabric_composition": "70% Wool, 30% Polyamide", "lining_material": "100% Polyester", "care_instructions": "Dry clean only", "origin_country": "Romania", "sustainable_materials": false, "wash_type": "Do not wash"
| # | sku | fabric_composition | lining_material | care_instructions | origin_country | sustainable_materials |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Taxonomy objects from tedbaker.com. All fields typed and schema-versioned.
"sku": "268491-BLACK", "primary_category": "Mens", "sub_category": "Coats & Jackets", "product_type": "Overcoat", "collection_name": "Autumn Winter 23", "breadcrumbs": "['Home', 'Mens', 'Clothing', 'Coats & Jackets']", "position_in_category": 12
| # | sku | primary_category | sub_category | product_type | collection_name | breadcrumbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ted Baker scraper extracts fashion metadata across all categories: menswear, womenswear, accessories, and outlet collections - navigating dynamic inventory states and size-level stock.
Title, description, style codes, and categorisation mapped across the entire Ted Baker catalogue.
Resolving complex matrices of colours and sizes back to the parent product record.
Capture current price, RRP, discount percentages, and promotional text across multiple regional sites.
Track size-level stock availability and low-stock warning indicators to estimate sales velocity.
Extract fabric compositions, lining details, and care instructions for detailed product analysis.
Distinguish between standard retail items and outlet-exclusive inventory streams.
Extract zoom-level image URLs, alternate angle shots, and model styling photos.
Navigate complex fashion taxonomies and breadcrumb trails to maintain accurate product hierarchies.
Run continuous pipelines that only push updates for changed prices or altered stock states.
Brief in. Clean data out.
Provide target categories, genders, or specific collections. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for tedbaker.com.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Ted Baker's frontend relies on dynamic inventory loading and complex variant structures. We handle the rendering and state management.
Ted Baker loads size availability and stock status asynchronously. We run full Playwright browser sessions to trigger JavaScript execution and capture the true stock state.
Fashion SKUs exist at the intersection of colour and size. Our pipeline flattens these variant matrices into normalised, queryable database rows.
Retail sites aggressively rate-limit scrapers. We use UK and US residential proxies to distribute requests and maintain high throughput without triggering blocks.
Prices vary drastically between the UK, US, and EU storefronts. We configure specific geolocation headers and proxies to scrape the correct regional pricing data.
Fashion retailers frequently update their DOM structure for seasonal campaigns. We use multi-layered selector fallbacks to ensure pipeline continuity.
Retailers track Ted Baker's pricing strategies, sale events, and discount depths to optimise their own promotional calendars.
Merchandising teams analyse category breadth, colour variations, and product mix to benchmark their own seasonal assortments.
Pricing analysts track which sizes and colours are marked down first, informing algorithmic markdown models.
Fashion intelligence platforms aggregate fabric compositions, styles, and colourways to identify macro trends in the premium retail sector.
Supply chain analysts monitor out-of-stock rates across key categories to estimate sell-through velocity.
Agencies track the ratio of new arrivals to outlet inventory to assess brand health and inventory clearance strategies.
"Fashion retail intelligence requires tracking not just what is sold, but the exact intersection of size, colour, and stock availability over time."
Extracting data from modern fashion retailers involves navigating complex JavaScript frontends, dynamic variant loading, and strict rate limiting. DataFlirt manages the residential proxies and rendering infrastructure, delivering clean, normalised tables ready for your pricing and merchandising teams.
Everything supported by our tedbaker.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 and variant state interactions.
We maintain pools of residential ISP proxies to bypass aggressive retail rate limits and access region-specific pricing.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About tedbaker.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail websites is generally permissible. DataFlirt extracts only public, non-authenticated product, pricing, and stock data. We do not extract personal data or circumvent authentication walls.
Our pipeline maps every colour and size combination as a distinct record or nested object, ensuring that size-specific markdowns are accurately captured.
Yes. We capture the exact stock status label surfaced by the frontend, including low-stock warnings and completely out-of-stock indicators per size.
Yes. Material details, lining compositions, and care instructions are extracted from the product details section and structured into distinct fields.
For targeted SKU lists, we can run high-frequency pipelines at hourly intervals. Full catalogue refreshes are typically scheduled daily.
Yes. We use region-specific proxies and headers to scrape the correct localised site, capturing GBP, USD, or EUR pricing accurately.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue dump or daily pricing and stock monitoring - we scope, build, and operate the pipeline.
