We extract wine catalogues, vintage specifics, case pricing tiers, tasting notes, and customer reviews from Laithwaites. 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 Wine Listings objects from laithwaites.co.uk. All fields typed and schema-versioned.
"sku": "4123522", "name": "Chateau La Clariere", "vintage": "2022", "wine_type": "Red Wine", "country": "France", "region": "Bordeaux", "grape_variety": "Merlot", "abv": 14.0, "price_bottle": 18.99, "stock_status": "In Stock"
| # | sku | name | vintage | wine_type | country | region |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Tasting & Specs objects from laithwaites.co.uk. All fields typed and schema-versioned.
"sku": "4123522", "tasting_note": "Rich plum and blackberry fruit with a hint of vanilla oak.", "food_pairing": "Roast lamb, hard cheeses", "body": "Full", "closure_type": "Cork", "vegan": true, "vegetarian": true, "drinking_window": "Now to 2030"
| # | sku | tasting_note | aroma | food_pairing | sweetness_level | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Mixed Cases objects from laithwaites.co.uk. All fields typed and schema-versioned.
"case_sku": "MC1054", "case_name": "Bordeaux Gold Medal Dozen", "total_bottles": 12, "included_wines": "['4123522', '8832121', '9921020']", "price": 145.0, "saving_amount": 35.0, "promotion_tag": "Save £35"
| # | case_sku | case_name | total_bottles | included_wines | price | list_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from laithwaites.co.uk. All fields typed and schema-versioned.
"review_id": "REV-99214", "sku": "4123522", "rating": 5, "author": "John D.", "date": "2023-11-14", "review_text": "Excellent claret for the price. Needs decanting an hour before drinking.", "verified_buyer": true
| # | review_id | sku | rating | author | date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from laithwaites.co.uk. All fields typed and schema-versioned.
"sku": "4123522", "base_price": 18.99, "mix_six_price": 16.99, "wine_plan_price": 15.99, "multibuy_active": true, "promotion_desc": "Save £2 per bottle when you mix 6 or more", "scraped_at": "2023-12-01T14:30:00Z"
| # | sku | base_price | mix_six_price | wine_plan_price | discount_pct | multibuy_active |
|---|---|---|---|---|---|---|
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Our Laithwaites pipeline handles every layer of the catalogue: individual bottles, mixed cases, dynamic multi-buy pricing, and detailed tasting profiles.
Name, vintage, grape variety, region, ABV, and bottle size extracted at the SKU level across all categories.
Capture single bottle price, mix-six discounts, unmixed case prices, and Wine Plan subscription rates.
Extract detailed sensory data including body, sweetness, aroma, food pairings, and drinking windows.
Map mixed case SKUs to their individual constituent bottle SKUs to calculate true per-bottle value and inventory.
Full review text, star ratings, helpful votes, and verified buyer status paginated across all products.
Capture Decanter, IWSC, and specific critic scores associated with specific vintages.
Automated session management to handle 18+ verification modals without dropping requests.
Run continuous pipelines at daily cadences with hash-based change detection to track price and stock movements.
Track availability and delivery estimates based on specific UK postcode inputs.
Brief in. Clean data out.
Provide target categories, specific SKUs, or search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and age-gate handling for laithwaites.co.uk.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting retail wine data requires managing age verification, dynamic pricing structures, and nested product hierarchies. Here is how we build it.
Laithwaites requires age verification before displaying catalogue data. Our crawlers initiate valid sessions, accept the 18+ modal, and persist the required cookies across the entire crawl cluster to prevent request blocking.
Pricing on Laithwaites changes dynamically based on quantity (mix six or more). We use Playwright to render the exact pricing tiers and promotional tags that standard HTTP clients miss.
Category pages rely on dynamic loading. We intercept the backend API calls or trigger lazy-loading via browser automation to ensure 100% SKU capture across deep categories.
Wine vintages change frequently, altering the SKU and associated awards. Our schema links parent wine names to specific vintage SKUs, maintaining historical continuity even when a specific year sells out.
For daily monitoring, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Rival wine merchants track mix-six pricing, Wine Plan discounts, and promotional cadences to adjust their own pricing strategies.
Buyers monitor which vintages Laithwaites transitions to, identifying market availability and stock depth for specific regions.
Analysts track grape variety popularity, regional appellation trends, and average ABV shifts across the UK consumer market.
Brands use tasting notes and customer review text to train NLP models on wine descriptors and consumer preferences.
Vineyards monitor how their wines are presented, checking tasting notes, vintage accuracy, and awarded medal displays.
Supply chain teams correlate out-of-stock signals with seasonal events to model demand for specific wine categories.
"Laithwaites holds one of the most comprehensive structured wine datasets in the UK market, detailing everything from obscure vintages to multi-buy pricing dynamics."
Extracting wine data requires managing age-verification gates, complex multi-buy pricing logic, and highly nested mixed-case hierarchies. DataFlirt handles the session management and DOM parsing so your analysts can focus on category trends, not crawler maintenance.
Everything supported by our laithwaites.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, 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 the UK. Rotation happens per-request with sticky sessions where required to maintain age-verification cookies.
Pipelines run on AWS Lambda and ECS. 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 laithwaites.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Laithwaites is generally permissible under UK law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
Our crawlers initiate a session, interact with the age-gate modal, and store the resulting clearance cookies. These cookies are attached to subsequent requests within that session cluster, ensuring uninterrupted access to the catalogue.
Yes. We parse the product descriptions and linked components of mixed cases, mapping the case SKU to the individual bottle SKUs included inside, allowing you to calculate the true per-bottle discount.
We can configure pipelines to run daily or weekly. For daily runs, we typically complete a full catalogue refresh within a 2-4 hour window, ensuring you have the latest multi-buy pricing before the trading day begins.
Yes. We treat vintages as distinct variations. When Laithwaites updates a product page from a 2021 to a 2022 vintage, our change detection flags this as a new SKU variation and updates your records accordingly.
Our smallest packages cover standard daily or weekly scrapes of the full Laithwaites catalogue. Contact us with your specific data requirements and delivery cadence for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off wine catalogue dump or a continuous price-monitoring feed across all SKUs — we scope, build, and operate the pipeline. Tell us what you need.
