We extract wine catalogues, Mix Six pricing tiers, vintage details, and store-level stock from majestic.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 Wine Listings objects from majestic.co.uk. All fields typed and schema-versioned.
"sku": "14012", "name": "Oyster Bay Sauvignon Blanc", "type": "White Wine", "grape": "Sauvignon Blanc", "country": "New Zealand", "region": "Marlborough", "abv": 12.5, "closure": "Screwcap"
| # | sku | name | type | grape | country | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Data objects from majestic.co.uk. All fields typed and schema-versioned.
"sku": "14012", "price_single": 10.99, "price_mix_six": 8.99, "discount_pct": 18.2, "promotion_text": "Save £2 when you mix six", "currency": "GBP", "scraped_at": "2026-05-12T09:14:00Z", "in_stock": true
| # | sku | price_single | price_mix_six | discount_pct | promotion_text | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tasting & Reviews objects from majestic.co.uk. All fields typed and schema-versioned.
"sku": "14012", "description": "A crisp, elegant and refreshing wine.", "tasting_notes": "Gooseberry, passion fruit and green apple.", "food_pairing": "Seafood, goat cheese, salads.", "customer_rating": 4.6, "review_count": 842, "awards": "['Decanter Bronze 2025']"
| # | sku | description | tasting_notes | food_pairing | expert_rating | customer_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Inventory objects from majestic.co.uk. All fields typed and schema-versioned.
"sku": "14012", "store_id": "ST045", "store_name": "Majestic Wine St John's Wood", "stock_status": "In Stock", "stock_quantity": 42, "click_and_collect": true, "delivery_available": true, "last_updated": "2026-05-12T09:15:00Z"
| # | sku | store_id | store_name | stock_status | stock_quantity | click_and_collect |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Search objects from majestic.co.uk. All fields typed and schema-versioned.
"category_id": "cat_white_wine", "category_name": "White Wine", "parent_category": "Wine", "position": 1, "sku": "14012", "name": "Oyster Bay Sauvignon Blanc", "url": "https://www.majestic.co.uk/wines/oyster-bay-sauvignon-blanc-14012", "filter_tags": "['Crisp', 'Dry', 'New Zealand']"
| # | category_id | category_name | parent_category | position | sku | name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Majestic scraper handles geographic store context, age gates, and complex pricing logic to deliver normalised wine catalogues and local inventory.
Extract every wine, spirit, and beer. Capture grape, region, ABV, closure type, and dietary information for every SKU.
Capture both single bottle prices and Mix Six discounted rates, calculating exact percentage savings and promotional rules.
Map stock availability across all 200+ UK Majestic stores using session cookies to simulate local browsing.
Scrape detailed tasting profiles, food pairing recommendations, and expert reviews directly from the product pages.
Automated handling of the 18+ verification modals via cookie injection to ensure uninterrupted pipeline runs.
Aggregate customer ratings, review counts, and specific award mentions for each vintage.
Isolate and monitor Majestic's own-label Definition range against branded equivalents for margin analysis.
Track price and rating changes across different vintages of the same wine as Majestic rolls over their stock.
Run daily or weekly pipelines to track price adjustments, out-of-stock events, and new product listings.
Brief in. Clean data out.
Provide categories, search terms, or specific stores. We design the extraction schema together.
We configure crawlers, proxy rotation, session management, and age-gate handling for majestic.co.uk.
Schema validation, null-rate checks, and Mix Six price calculation verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting from Majestic requires managing geographic store context, age gates, and complex pricing logic. We handle the infrastructure.
Majestic displays different stock levels based on the selected local store. We manage session cookies and headers to iterate through specific store IDs, extracting accurate local inventory rather than generic national stock.
Alcohol retailers require 18+ verification. Our pipeline automatically injects the necessary consent cookies and bypasses age-gate modals before extraction begins, preventing blocked requests.
Majestic's core proposition is the Mix Six price. We parse the DOM to extract both the single bottle price and the mixed case price, structuring them as distinct fields for accurate margin calculations.
Wines change vintages frequently, often keeping the same URL but updating the title and ABV. We track these changes via hash diffing to ensure your database reflects the exact vintage currently on sale.
To prevent IP bans during high-frequency inventory checks across 200+ stores, we route traffic through UK-based residential proxies with realistic browser fingerprints.
Supermarkets and independent wine merchants track Majestic's Mix Six pricing to adjust their own promotional strategies.
Beverage brands monitor category depth, regional representation, and grape variety trends to spot gaps in the market.
Distributors track out-of-stock events across Majestic's store network to anticipate wholesale demand.
Wine rating apps and directory services ingest tasting notes, ABV data, and pricing to enrich their own consumer databases.
Analysts track the expansion of Majestic's Definition range and its pricing relative to branded equivalents.
PE firms evaluate Majestic's SKU count, pricing power, and discount depth during retail sector analysis.
"Majestic holds the most structured commercial wine dataset in the UK, but extracting accurate local inventory and tier pricing requires precise session management."
Scraping Majestic is not a simple HTTP GET operation. Accurate stock data depends on geographic session cookies, and pricing logic requires parsing the Mix Six rules against single-bottle rates. DataFlirt manages the residential proxies, age-gate cookies, and store-context headers so your data engineers receive clean, normalised wine catalogues.
Everything supported by our majestic.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.
Playwright handles complex cookie injection for age verification and geographic store selection, ensuring accurate local data.
UK-based residential IPs prevent blocking during high-frequency inventory sweeps across multiple store locations.
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 majestic.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from majestic.co.uk is generally permissible. DataFlirt targets only public product, pricing, and store inventory data. We do not extract personal data or circumvent authentication walls for user accounts.
Our schema explicitly separates the single bottle price from the Mix Six price. We extract both values and calculate the percentage discount, delivering them as distinct fields for accurate analysis.
Yes. We manage session cookies to simulate browsing a specific local store. You can provide a list of target store IDs, or we can iterate through the entire UK network.
Our pipeline automatically injects the required consent cookies into the session before requesting product pages, completely bypassing the modal.
We support daily or weekly full-catalogue runs. For specific high-priority SKUs, we can configure hourly price and stock checks.
Yes. We monitor the product title and specification fields. If Majestic updates a SKU from a 2022 to a 2023 vintage, our change detection registers it as an update.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily price check or a full catalogue extraction across all UK stores, we scope, build, and operate the pipeline. Tell us what you need.
