We extract product catalogues, variant pricing, nutritional profiles, stock levels, and reviews from discount-supplements.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 discount-supplements.co.uk. All fields typed and schema-versioned.
"sku": "DS-ON-WHEY-2KG-V", "title": "Optimum Nutrition Gold Standard 100% Whey Protein", "brand": "Optimum Nutrition", "category": "Protein Powders", "price": 54.99, "weight_grams": 2270, "flavour": "Vanilla Ice Cream", "stock_status": "In Stock"
| # | sku | title | brand | category | sub_category | price |
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Complete list of extractable fields for Nutritional Info objects from discount-supplements.co.uk. All fields typed and schema-versioned.
"sku": "DS-ON-WHEY-2KG-V", "serving_size_grams": 31, "servings_per_container": 73, "calories": 119, "protein_grams": 24.0, "carbs_grams": 1.5, "sugars_grams": 1.0, "fat_grams": 1.1, "allergens": "['Milk', 'Soy']"
| # | sku | serving_size_grams | servings_per_container | calories | protein_grams | carbs_grams |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Offers objects from discount-supplements.co.uk. All fields typed and schema-versioned.
"sku": "DS-ON-WHEY-2KG-V", "base_price": 64.99, "sale_price": 54.99, "discount_pct": 15, "multi_buy_offer": "Buy 2 for 100", "clearance_flag": false, "loyalty_points": 54, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | base_price | sale_price | discount_pct | multi_buy_offer | clearance_flag |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews objects from discount-supplements.co.uk. All fields typed and schema-versioned.
"review_id": "REV-84921", "sku": "DS-ON-WHEY-2KG-V", "reviewer_name": "James T.", "star_rating": 5, "review_title": "Mixes perfectly", "review_body": "Best vanilla flavour I have tried. Mixes well with milk or water.", "review_date": "2026-03-14", "verified_buyer": true
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Search & Category objects from discount-supplements.co.uk. All fields typed and schema-versioned.
"keyword": "creatine monohydrate", "position": 1, "sku": "DS-CRT-500G", "title": "Applied Nutrition Creatine 500g", "price": 19.99, "rating": 4.8, "review_count": 412, "promotional_badge": "Best Seller", "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | sku | title | price | rating |
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Our discount-supplements.co.uk scraper handles complex product variants, extracts detailed nutritional profiles, and monitors fast-moving promotional stock across the entire catalogue.
Title, description, imagery, brand attribution, and categorisation scraped at the SKU level.
Track hundreds of flavour and size combinations. We map child variants to parent products automatically.
Normalise complex nutritional tables into structured fields for macros, calories, and serving sizes.
Capture base prices, sale prices, and clearance tags timestamped per crawl.
Monitor stock availability across all variants to identify out-of-stock trends and supply chain gaps.
Extract complex promotional logic like multi-buy discounts, bundle offers, and free gift attachments.
Extract verified buyer reviews, star ratings, and review text for sentiment analysis.
Map the site hierarchy from top-level categories down to specific goal-based navigational filters.
Run continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, brand names, or specific product lines. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and variant normalisation logic for discount-supplements.co.uk.
Schema validation, null-rate checks, and nutritional data normalisation checks before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from eCommerce platforms requires handling complex variant logic and dynamic content. Here is how we stay resilient.
Sports nutrition products often have dozens of flavour and size combinations, each with distinct pricing and stock levels. Our crawlers iterate through variant selectors to extract every permutation and map them back to a single parent product ID.
Nutritional tables vary wildly between brands. We use structured extraction rules to parse HTML tables into standardised JSON fields, ensuring protein, carbs, and fat values are consistently mapped regardless of the original layout.
Discount-Supplements uses multi-buy offers and dynamic cart discounts. We capture these promotional rules as structured text strings, allowing your pricing analysts to model the true cost of acquisition.
We use UK-based residential ISP proxies to avoid IP blocking and rate limiting. Our crawlers mimic human browsing behaviour with randomised request timing and full cookie session management.
For the full 14K product catalogue, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing storage bloat and downstream processing load.
Retailers track pricing and promotional strategies across leading UK supplement brands to adjust their own pricing models.
Brands analyse the product catalogue to identify missing flavour variants or underserved nutritional categories.
Analysts track review velocity and out-of-stock indicators to predict demand for emerging supplement ingredients.
Health tech companies aggregate nutritional profiles and allergen data to power dietary tracking applications.
Supplement manufacturers audit retail pricing to ensure compliance with Minimum Advertised Price agreements.
Product development teams mine review data to identify common complaints about mixability, taste, or packaging.
"Discount-Supplements holds a dense catalogue of UK sports nutrition data, but structural variations across brands make it difficult to query without a dedicated pipeline."
Extracting sports nutrition data requires normalising highly variable nutritional tables, tracking hundreds of flavour combinations, and monitoring fast-moving promotional stock. DataFlirt manages this complexity so your engineers can focus on analysis.
Everything supported by our discount-supplements.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 retry logic. Playwright handles JavaScript execution for dynamic variant loading and cart-based promotional pricing.
We maintain pools of residential UK proxies to ensure high success rates. Rotation happens per-request with sticky sessions for variant iteration.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About discount-supplements.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, nutritional data, and reviews is generally permissible. DataFlirt targets only public, non-authenticated product data. We do not extract personal user data or circumvent authentication walls.
Sports nutrition products have complex variant structures. Our crawlers iterate through every flavour and size combination available in the DOM, extracting the specific price and stock status for each permutation.
Yes. We apply regex and structured parsing rules to extract specific macronutrients (protein, carbs, fat) and serving sizes, normalising them into standard numeric fields regardless of the brand's table format.
For targeted categories or specific brands, we can configure pipelines to run hourly. Full catalogue refreshes typically run on a daily cadence.
Yes. We extract base prices, current sale prices, and text strings for multi-buy offers or bundle deals.
Yes. We provide a sample run of up to 500 products as part of the scoping process so you can validate our nutritional parsing and variant mapping before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 14K products - we scope, build, and operate the pipeline. Tell us what you need.
