We extract grocery listings, per-unit pricing, nutritional data, and Specialbuys schedules from aldi.co.uk. Delivered as clean JSON, CSV, or Parquet to your infrastructure.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Grocery Products objects from aldi.co.uk. All fields typed and schema-versioned.
"product_id": "4088600123456", "name": "Everyday Essentials Porridge Oats", "price": 0.9, "price_per_unit": "0.09", "unit_of_measure": "100g", "category": "Groceries > Food Cupboard > Cereals", "weight": "1kg", "dietary_flags": "['Vegetarian', 'Vegan']"
| # | product_id | name | price | price_per_unit | unit_of_measure | category |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Nutritional Data objects from aldi.co.uk. All fields typed and schema-versioned.
"product_id": "4088600123456", "energy_kcal": 374, "fat_g": 8.0, "saturates_g": 1.5, "carbs_g": 60.0, "sugars_g": 1.1, "protein_g": 11.0, "allergens": "['Oats']"
| # | product_id | energy_kj | energy_kcal | fat_g | saturates_g | carbs_g |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Specialbuys objects from aldi.co.uk. All fields typed and schema-versioned.
"product_id": "7123456789012", "name": "Ambiano Stand Mixer", "price": 49.99, "release_date": "2026-09-15", "availability": "In Store Only", "theme": "Kitchen Updates", "stock_status": "Coming Soon", "warranty_months": 36
| # | product_id | name | price | release_date | availability | theme |
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Complete list of extractable fields for Offers & Promotions objects from aldi.co.uk. All fields typed and schema-versioned.
"product_id": "4088600987654", "name": "Nature's Pick Carrots 500g", "current_price": 0.39, "original_price": 0.55, "discount_pct": 29, "offer_type": "Super 6", "validity_start": "2026-05-01", "super_6_flag": true
| # | product_id | name | current_price | original_price | discount_pct | offer_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Store Locations objects from aldi.co.uk. All fields typed and schema-versioned.
"store_id": "UK_ALDI_1045", "name": "Aldi Ancoats", "postcode": "M4 6HN", "latitude": 53.4831, "longitude": -2.2248, "click_and_collect": true, "region": "North West", "opening_hours": "08:00-22:00"
| # | store_id | name | address | postcode | latitude | longitude |
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Extract clean grocery datasets from Aldi. We handle the complexities of regional pricing, Specialbuys volatility, and nested nutritional tables.
Capture product names, descriptions, categories, brand identifiers, and pack weights across the entire everyday grocery catalogue.
Extract absolute prices alongside per-unit and per-weight metrics. Vital for accurate supermarket price matching.
Monitor the middle aisle. Track release dates, themes, pricing, and stock status for high-turnover Specialbuys inventory.
Convert HTML nutritional tables into structured JSON. Extract macros, calories, and serving sizes reliably.
Identify vegan, vegetarian, and gluten-free flags. Extract explicit allergen warnings and trace information.
Track weekly Super 6 fruit, veg, and meat offers. Capture validity windows and promotional price drops.
Query stock levels against specific store locations for Click & Collect inventory status.
Extract opening hours, address details, coordinates, and facility lists for all UK Aldi locations.
Run daily diffs on the catalogue. Receive alerts only when prices change or new Specialbuys are listed.
Brief in. Clean data out.
Specify target categories, Specialbuys sections, or store locations. We map the required schema.
We configure Scrapy spiders, handle Aldi's bot mitigation, and build parsers for complex nutritional tables.
Automated checks for null rates, price outliers, and missing nutritional data before deployment.
Data pushed to your warehouse via S3, BigQuery, or Webhook in JSON, CSV, or Parquet format.
Supermarket scraping requires handling aggressive caching and regional variations. We manage the infrastructure so you get clean data.
Click & Collect availability and certain price elements rely on client-side rendering. We use Playwright to execute JavaScript and capture the final DOM state.
Aldi employs edge protection to block datacenter IPs. We route requests through UK-based residential proxies to maintain access and avoid blocks.
Nutritional information formats vary between suppliers. Our parsers normalise these tables into standard macro fields regardless of the raw HTML structure.
Specialbuys appear and disappear rapidly. We use frequent, targeted crawls of the Specialbuys sections to capture products before they sell out.
Inventory visibility requires setting store location cookies. We manage session state to extract accurate Click & Collect data for specific regions.
Competing grocers track Aldi's per-unit pricing and Super 6 offers to adjust their own price-match guarantees.
Brands monitor Aldi's private-label equivalents for packaging, pricing, and nutritional profile comparisons.
Economic analysts track price changes across a basket of everyday essentials to measure retail inflation.
Health platforms ingest macro and allergen data to populate diet-tracking applications.
Sellers monitor upcoming Specialbuys releases for high-demand items to source inventory.
Suppliers analyse Specialbuys themes and seasonal grocery shifts to predict upcoming procurement needs.
"Aldi's highly dynamic Specialbuys and strict per-unit pricing models offer critical signals for retail intelligence, provided you can maintain the extraction pipeline."
Extracting supermarket data requires handling aggressive caching, regional stock variations, and complex nested nutritional tables. DataFlirt manages the proxy rotation and schema maintenance, delivering clean, normalised grocery datasets directly to your warehouse.
Everything supported by our aldi.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 manages crawl orchestration and deduplication. Playwright handles JavaScript rendering for dynamic pricing and stock availability.
We route traffic through UK-based residential IPs to bypass regional blocks and edge protection mechanisms.
Pipelines run on Kubernetes. Airflow handles scheduling for daily catalogue diffs and weekly Specialbuys scans.
Data delivered to where your team already works — no new tooling required.
About aldi.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, nutritional, and product data is generally permissible. DataFlirt extracts only public, non-authenticated information. We do not access user accounts or personal data. Clients should consult legal counsel regarding their specific use cases.
We utilise UK residential proxy pools, realistic browser fingerprinting via Playwright, and controlled request rates to ensure reliable access without triggering edge blocks.
We support daily runs for the entire grocery catalogue and targeted intra-day crawls for specific high-priority categories or Specialbuys.
Yes. We manage session cookies to set specific store locations, enabling extraction of accurate Click & Collect availability and regional variations.
Yes. Once a pipeline is active, we maintain a history of Specialbuys releases, allowing you to analyse trends and recurring themes over time.
Yes. We provide sample datasets during the scoping phase to demonstrate our table parsing accuracy and field normalisation.
20-minute scoping call. Pilot dataset within the week. Production within two. From complete grocery catalogues to targeted Specialbuys tracking. We build and maintain the extraction infrastructure. Tell us your requirements.
