We extract grocery listings, dynamic pricing, promotional offers, and nutritional metadata from Morrisons. 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 morrisons.com. All fields typed and schema-versioned.
"sku": "112345678", "title": "Morrisons British Semi Skimmed Milk", "brand": "Morrisons", "category": "Fresh", "weight_volume": "4 Pints", "storage_instructions": "Keep refrigerated below 5°C."
| # | sku | title | brand | category | sub_category | weight_volume |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from morrisons.com. All fields typed and schema-versioned.
"sku": "112345678", "current_price": 1.65, "more_card_price": 1.45, "price_per_unit": "72.0p per litre", "promotion_desc": "More Card Price: £1.45", "currency": "GBP"
| # | sku | current_price | original_price | more_card_price | price_per_unit | promotion_desc |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Info objects from morrisons.com. All fields typed and schema-versioned.
"sku": "112345678", "energy_kcal": 50, "fat_g": 1.8, "saturates_g": 1.1, "sugars_g": 4.8, "salt_g": 0.11
| # | sku | energy_kcal | fat_g | saturates_g | sugars_g | salt_g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ingredients & Diet objects from morrisons.com. All fields typed and schema-versioned.
"sku": "112345678", "ingredients_list": "Semi Skimmed Milk.", "allergens_contains": "['Milk']", "suitable_for_vegans": false, "suitable_for_vegetarians": true, "organic_flag": false
| # | sku | ingredients_list | allergens_contains | allergens_may_contain | suitable_for_vegans | suitable_for_vegetarians |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search & Categories objects from morrisons.com. All fields typed and schema-versioned.
"keyword": "milk", "department": "Fresh", "position": 1, "sku": "112345678", "title": "Morrisons British Semi Skimmed Milk", "price": 1.65, "in_stock": true
| # | keyword | department | aisle | position | sku | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Morrisons scraper handles the entire online grocery catalogue: department navigation, dynamic promotional pricing, More Card offers, and deeply nested nutritional metadata.
Extract every SKU across all departments and aisles, capturing full product titles, descriptions, and package weights.
Distinguish between standard retail prices and member-only More Card prices to map true consumer cost.
Capture complex promotional logic like '3 for £10', 'Buy One Get One Free', and temporary price drops.
Parse back-of-pack nutritional tables into structured fields for macros per 100g and per serving.
Extract full ingredient lists and isolate bolded allergens into discrete arrays for dietary analysis.
Standardise pricing comparisons by capturing the exact price per kg, per litre, or per item as displayed.
Monitor in-stock versus out-of-stock flags across specific UK postcodes to gauge supply chain health.
Extract structured boolean flags for vegan, vegetarian, gluten-free, and organic product classifications.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, keyword sets, or SKU lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, UK proxy rotation, and session management for morrisons.com.
Schema validation, null-rate checks, price-outlier detection, and sample verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Grocery sites rely heavily on dynamic front-end frameworks and geo-locked pricing. Here is how we extract reliable data.
Morrisons restricts high-velocity requests from non-residential IP ranges. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and full cookie session management.
The Morrisons storefront is a single-page application. We run full Playwright browser sessions with JavaScript execution to trigger lazy-loaded categories and dynamic promotional badges.
Grocery availability and pricing can vary by region. We inject specific UK postcode cookies into the browser session to extract accurate localized stock levels and fulfillment options.
Promotional banners change DOM structure frequently. Our selector strategy uses fallback chains to cleanly separate standard prices, More Card prices, and multibuy text.
For the full grocery catalogue, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Consumer brands track shelf-share, search ranking, and competitor pricing across Morrisons categories.
Retailers and analysts monitor grocery inflation indices and execute dynamic price matching strategies.
Health and fitness applications build comprehensive food databases by extracting macro and micro-nutritional profiles.
Trade marketing teams analyse multibuy depth and More Card adoption to optimise their own promotional spend.
Category managers track new product listings and delistings to identify assortment gaps in the UK market.
Hedge funds correlate digital shelf visibility and out-of-stock rates with quarterly revenue performance.
"Morrisons holds critical pricing and nutritional signals for the UK grocery sector, but extracting it requires navigating complex SPA state and dynamic promotional logic."
Most teams underestimate the investment required: reliable Morrisons scraping requires UK residential proxies, full JavaScript rendering for category trees, postcode cookie management, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our morrisons.com 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 specifically for the UK region. 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 morrisons.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Morrisons is generally permissible under applicable law in the UK. DataFlirt targets only public, non-authenticated product, pricing, and nutritional data. We do not extract personal 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. Our selectors have fallback chains to handle dynamic DOM changes.
Yes. We extract both the standard retail price and the More Card promotional price, allowing you to analyse the depth of member discounts.
Full catalogue refreshes at daily cadence complete within a 4-8 hour window depending on category depth. We can configure specific high-priority SKUs for higher frequency tracking.
Yes. We inject specific UK postcode cookies into the session state to extract localized availability flags for specific regions.
Yes. We parse the back-of-pack nutritional tables into structured key-value pairs, standardising metrics for energy, fat, saturates, sugars, and salt per 100g.
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 30,000 SKUs — we scope, build, and operate the pipeline. Tell us what you need.
