We extract product listings, Bonus Card pricing, nutritional tables, allergen flags, and multi-buy promotions from Iceland. 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 iceland.co.uk. All fields typed and schema-versioned.
"sku": "81234", "title": "Iceland 100% Beef Quarter Pounders 454g", "brand": "Iceland", "price": 3.5, "unit_price": "7.71 per 1 kg", "weight_volume": "454g", "category_path": "Frozen > Meat & Poultry > Beef Burgers", "in_stock": true
| # | sku | title | brand | price | unit_price | weight_volume |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Info objects from iceland.co.uk. All fields typed and schema-versioned.
"sku": "81234", "serving_size": "113.5g", "energy_kcal_100g": 245, "fat_100g": 18.5, "saturates_100g": 8.2, "protein_100g": 18.0, "salt_100g": 1.1, "allergens_contains": "['Wheat', 'Soya']"
| # | sku | serving_size | energy_kcal_100g | energy_kj_100g | fat_100g | saturates_100g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Offers & Promotions objects from iceland.co.uk. All fields typed and schema-versioned.
"sku": "81234", "standard_price": 3.5, "has_bonus_card_price": true, "bonus_card_price": 2.5, "has_multibuy": true, "multibuy_text": "3 for £10", "badge_text": "Exclusive Bonus Card Price"
| # | sku | standard_price | has_bonus_card_price | bonus_card_price | has_multibuy | multibuy_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dietary & Lifestyle objects from iceland.co.uk. All fields typed and schema-versioned.
"sku": "81234", "is_vegetarian": false, "is_vegan": false, "is_gluten_free": false, "is_halal": false, "artificial_colours_free": true, "country_of_origin": "United Kingdom"
| # | sku | is_vegetarian | is_vegan | is_gluten_free | is_halal | artificial_colours_free |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from iceland.co.uk. All fields typed and schema-versioned.
"keyword": "frozen pizza", "position": 1, "sku": "93452", "title": "Chicago Town Deep Dish Pepperoni Pizzas 2 x 160g", "price": 2.25, "promo_badge": "Any 3 for £5", "is_sponsored": false, "in_stock": true
| # | keyword | position | sku | title | price | unit_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Iceland scraper captures the full FMCG dataset: deep nutritional profiles, complex multi-buy logic, Bonus Card pricing tiers, and ingredient lists, all delivered in structured formats.
Extract SKUs, titles, weight, unit pricing, descriptions, and category hierarchies across ambient, chilled, and frozen aisles.
Capture dual-pricing structures, distinguishing between standard retail prices and exclusive Bonus Card member prices.
Parse promotional mechanics like '3 for £10' or 'Buy 1 Get 1 Free' into structured relational data for accurate basket cost modelling.
Extract macros and micros per 100g and per serving, formatting complex HTML tables into queryable JSON arrays.
Isolate 'contains' and 'may contain' allergen warnings, alongside vegan, vegetarian, and halal certifications.
Capture specific frozen food directives, defrosting times, and microwave versus oven cooking guidelines.
Monitor organic positioning and sponsored placements for high-volume FMCG keywords on the Iceland storefront.
Track out-of-stock indicators and limited-time product availability at a national level.
Receive only records that have changed since the last crawl, minimising storage costs and database update times.
Brief in. Clean data out.
Provide category URLs, keyword sets, or target SKUs. We design the extraction schema for nutritional and pricing data.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for iceland.co.uk.
Schema validation, null-rate checks, price-outlier detection, and sample nutritional tables before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Supermarket sites present unique schema challenges with nested nutritional data and dynamic pricing. Here is how we maintain clean extraction.
Supermarket nutritional tables are notoriously inconsistent in DOM structure. We use specific XPath fallback chains and regex patterns to normalise per 100g and per serving values into strictly typed floats, handling edge cases like 'Trace' or '<0.1g'.
Iceland relies heavily on multi-buy promotions. We do not just scrape the promotional text; our pipeline parses '3 for £10' into distinct fields for required quantity, total price, and implied unit discount, enabling immediate basket analysis.
Pricing updates, Bonus Card flags, and stock availability often load asynchronously. We execute Playwright sessions to hydrate the DOM fully before extraction, ensuring we capture the true state presented to the user.
For the full Iceland catalogue, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price changes or stock updates, reducing downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes in critical fields like price or weight, and respond before you notice.
Brands and competing supermarkets monitor Iceland's pricing, multi-buy offers, and Bonus Card discounts to adjust their own retail strategies.
Health tech applications ingest macro, micro, and ingredient data to power dietary tracking and recipe planning algorithms.
Economic analysts track basket cost variations over time, measuring the impact of inflation on frozen and ambient grocery categories.
Retailers analyse Iceland's category depth, private label penetration, and new product introductions to identify market gaps.
Trade marketing teams monitor the duration, depth, and frequency of multi-buy campaigns to gauge promotional intensity.
Food standards researchers audit ingredient declarations and vegan/vegetarian certifications across massive product ranges.
"Supermarket data is highly relational. Extracting a price is easy; linking that price to a Bonus Card tier, a multi-buy condition, and a per-100g unit cost requires a well-engineered pipeline."
Most internal teams struggle with grocery scrapers because the schema is highly variable. Nutritional tables change format, promotional logic varies weekly, and stock states load dynamically. DataFlirt handles the normalisation and infrastructure, delivering clean, query-ready grocery data directly to your warehouse.
Everything supported by our iceland.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 UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 iceland.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, nutritional, and product information from iceland.co.uk is generally permissible under UK law. DataFlirt targets only public, non-authenticated data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use Playwright to fully render product pages, ensuring all asynchronous JavaScript pricing widgets load. Our schema distinguishes strictly between standard retail prices and Bonus Card promotional prices, capturing both simultaneously.
We capture the national default pricing and availability. Scraping store-specific or postcode-specific pricing requires session injection which falls under custom pipeline development. Contact us for scope.
Full catalogue refreshes at daily cadence complete within a 4-6 hour window. We can configure higher frequency runs for specific high-velocity categories or priority SKUs.
Our extraction logic maps varying HTML table structures into a unified schema. We convert strings like '18.5g' into typed floats, standardising keys for energy, fats, proteins, and carbohydrates across the entire dataset.
Our smallest packages start at a defined category list or SKU set with weekly delivery. For full-site daily crawls, we price based on compute volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off nutritional database dump or continuous price-monitoring across the frozen food catalogue, we scope, build, and operate the pipeline. Tell us what you need.
