We extract product listings, pricing signals, size availability grids, and brand catalogues from office.co.uk. 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 office.co.uk. All fields typed and schema-versioned.
"sku": "4123500000", "title": "Nike Air Force 1 '07", "brand": "Nike", "price": 109.99, "list_price": 109.99, "currency": "GBP", "colour": "White", "material": "Leather"
| # | sku | title | brand | price | list_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inventory & Sizing objects from office.co.uk. All fields typed and schema-versioned.
"sku": "4123500000", "size_uk": "9", "size_eu": "44", "in_stock": true, "low_stock_warning": false, "stock_status": "Available", "click_and_collect": true
| # | sku | size_uk | size_eu | in_stock | low_stock_warning | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Promotions & Pricing objects from office.co.uk. All fields typed and schema-versioned.
"sku": "4123500000", "current_price": 85.0, "original_price": 109.99, "sale_badge": "Sale", "student_discount_eligible": true, "promotion_text": "20% off selected styles", "currency": "GBP"
| # | sku | current_price | original_price | sale_badge | student_discount_eligible | promotion_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Categorisation objects from office.co.uk. All fields typed and schema-versioned.
"sku": "4123500000", "primary_category": "Trainers", "sub_category": "Chunky Trainers", "gender": "Mens", "brand_id": "nike", "collection": "Air Force 1", "season": "AW23"
| # | sku | primary_category | sub_category | gender | brand_id | collection |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from office.co.uk. All fields typed and schema-versioned.
"sku": "4123500000", "review_id": "REV-98234", "rating": 4.8, "review_title": "Classic trainers", "reviewer_name": "James T.", "review_date": "2026-02-14", "verified_buyer": true
| # | sku | review_id | rating | review_title | review_body | reviewer_name |
|---|---|---|---|---|---|---|
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Our office.co.uk scraper handles the entire catalogue: trainer drops, dynamic sale pricing, granular UK size availability, and brand-specific collections with automated JavaScript rendering.
Title, brand, material, description, and high-resolution image URLs scraped at the individual product level.
Extract exact UK and EU size grids. Identify which specific sizes are in stock, out of stock, or low on inventory.
Capture current price, RRP, discount percentages, and sale category placements timestamped per crawl.
Link all available colourways back to the parent SKU to build a complete product matrix.
Target specific brand landing pages like Nike, adidas, Dr. Martens, or Birkenstock for isolated analysis.
Identify products eligible for UNiDAYS or Student Beans discounts to calculate true minimum market price.
Extract standard delivery estimates and store click-and-collect availability per item.
Map the exact site taxonomy including gender, shoe type, and curated seasonal collections.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide brand lists, category URLs, or search terms. We design the extraction schema together.
We configure Playwright crawlers, UK proxy rotation, session management, and rate-limit handling.
Schema validation, null-rate checks, price-outlier detection, and sample size grids before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Retailers deploy aggressive rate limiting during high-demand trainer drops. We maintain stable extraction through distributed proxy networks and behavioural spoofing.
High-street retailers block datacentre IPs instantly. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and full cookie session management to blend in with normal shopper traffic.
office.co.uk loads size availability and price changes dynamically via JavaScript. We run full Playwright browser sessions to capture exact UK/EU size grids and sale badges that static HTML parsers miss.
Retail sites update their DOM structure for seasonal campaigns. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
For high-value SKUs, we can configure aggressive polling intervals using distributed IP pools to detect restocks and price drops within minutes of them going live.
For large brand catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing storage bloat and downstream processing load.
Retailers and brands monitor high-street trainer prices, sale events, and discount depths to adjust their own pricing strategies.
Track size depletion rates across specific brands to understand consumer demand and optimise procurement.
Footwear brands audit office.co.uk to ensure their products are positioned correctly and MAP policies are respected.
Fashion analysts track new arrivals, colourway popularity, and category saturation to identify emerging footwear trends.
Supply chain teams correlate stock depth indicators with seasonal sale events to improve their forecasting models.
Resellers use high-frequency tracking to detect restocks of limited-edition SKUs before they sell out.
"Footwear retail moves on granular availability. Knowing a shoe is in stock is useless if you do not know the size distribution. We extract at the SKU-size level."
Most retail scrapers fail at the variant level. office.co.uk loads size and colour availability dynamically via JavaScript. Relying on static HTML parsing results in stale or missing stock data. DataFlirt executes full browser sessions to capture exact UK/EU size grids, sale badges, and click-and-collect availability across the entire catalogue.
Everything supported by our office.co.uk 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 for dynamic size grids and interaction flows.
We maintain pools of residential ISP proxies across the UK. Rotation happens per-request to bypass retail bot protection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About office.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and inventory information is generally permissible. DataFlirt targets only public, non-authenticated product data. We do not extract personal user data or circumvent authentication walls.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass standard retail rate limits.
Yes. We execute JavaScript to expose the full size grid and capture the exact stock status for every individual UK and EU size variant.
For targeted SKU lists, we can configure high-frequency polling to detect restocks within minutes. Full site catalogues typically refresh on a daily cadence.
We capture the current price, original RRP, sale badges, and public promotion text. We do not extract gated discount codes that require third-party authentication like UNiDAYS.
Yes. We can scope the pipeline to target specific brand landing pages, categories, or predefined SKU lists rather than the entire site.
Our smallest packages start at a defined brand or category list with weekly delivery. Contact us with your specific requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off footwear catalogue dump or continuous stock monitoring across 50,000 SKUs we scope, build, and operate the pipeline. Tell us what you need.
