Irish Grocery Data API / Dataset Actor

API-backed BasketWatch dataset actor for every SKU, shelf price and promotion across the four major Irish supermarkets — Aldi, Tesco, SuperValu and Dunnes Stores — refreshed daily.

The only Apify dataset actor covering the full Irish grocery market in one place. ~47,000 live SKUs today — ~16,000 of them currently on promotion — structured into clean JSON and pushed straight to your Apify dataset, ready to load into your warehouse, notebook or app.

No live retailer scraping happens during the Apify run. BasketWatch maintains the retailer collection and data-quality pipeline separately, then this actor serves the latest daily BasketWatch snapshot through Apify with pricing, loyalty-card prices, multibuys, was-prices and offer-validity windows already parsed.

🗓️ Refresh schedule

All four retailers are refreshed daily by BasketWatch. The full catalogue — every SKU, every shelf price and every promotion — is rebuilt for Aldi, Tesco, SuperValu and Dunnes Stores each day. Every row includes a scrape_date field so you know exactly when the price was captured. Need real-time or intraday pulls? Email info@basketwatchireland.com.

Why this Actor exists

The Irish grocery market is dominated by four retailers running on three different e-commerce platforms — Aldi's bespoke storefront, Tesco Ireland's own stack, and the Mercatus platform shared by SuperValu and Dunnes Stores. Each emits prices in a different shape, with different promo conventions and different loyalty schemes. Stitching them together yourself means maintaining four parsers, four collection strategies, and a steady stream of data-quality fixes.

We've done that work. Through Apify, you get a simple run input, dataset export, and one consistent JSON schema across all four retailers.

What you get

Five datasets, available per retailer:

Dataset	What's in each row
products	SKU id, name, brand, pack size + canonical units, current shelf price, unit price (€/kg, €/L), full category breadcrumb, product URL, first-seen + last-seen dates
promotions	Products currently on offer — offer label (e.g. "3 for €5", "SAVE €0.75", "Only €2.50"), was-price, validity window, Tesco Clubcard prices, SuperValu Real Rewards and Dunnes member-only pricing
new-products	Products newly listed within a configurable window — range additions / launches
removed	Products dropped off the catalogue — delistings / range cuts
changes	Day-over-day price movements with delta and % change

Coverage per retailer

Endpoint suffix	Aldi	Tesco	SuperValu	Dunnes
products	✓ ~2,950	✓ ~19,000	✓ ~11,000	✓ ~14,500
promotions	— (Aldi doesn't publish multibuy promos)	✓ ~7,000 on offer	✓ ~3,200 on offer	✓ ~6,200 on offer
new-products	✓	✓	✓	✓
removed	✓	✓	✓	✓
changes	✓	✓	✓	✓

Inputs

The actor takes a single JSON input. Five fields, two required:

Field	Required	Type	Default	Notes
store	yes	string	aldi	One of aldi, tesco, supervalu, dunnes
dataset	yes	string	products	One of products, promotions, new-products, removed, changes
max_products	no	integer	500	Hard cap on rows. 1–100,000. Cost scales linearly — check the run estimate before starting.
search	no	string	—	Case-insensitive substring match on product name. Only applied when dataset = products.
days_back	no	integer	7	Lookback window in days. Only applied when dataset = new-products or removed. 1–60.

Dataset availability per retailer:

Dataset	Aldi	Tesco	SuperValu	Dunnes
products	✓	✓	✓	✓
promotions	— (Aldi doesn't publish multibuys)	✓	✓	✓
new-products	✓	✓	✓	✓
removed	✓	✓	✓	✓
changes	✓	✓	✓	✓

Sample inputs

Copy any block into the actor's Input tab.

Full catalogue per retailer

{ "store": "aldi",      "dataset": "products", "max_products": 3000 }

{ "store": "tesco",     "dataset": "products", "max_products": 20000 }

{ "store": "supervalu", "dataset": "products", "max_products": 12000 }

{ "store": "dunnes",    "dataset": "products", "max_products": 15000 }

Promotions only (excludes Aldi — no multibuy capture)

{ "store": "tesco",     "dataset": "promotions", "max_products": 8000 }

{ "store": "supervalu", "dataset": "promotions", "max_products": 4000 }

{ "store": "dunnes",    "dataset": "promotions", "max_products": 7000 }

Range additions in the last week

{ "store": "aldi",      "dataset": "new-products", "days_back": 7,  "max_products": 500 }

{ "store": "tesco",     "dataset": "new-products", "days_back": 7,  "max_products": 1000 }

{ "store": "supervalu", "dataset": "new-products", "days_back": 7,  "max_products": 1000 }

{ "store": "dunnes",    "dataset": "new-products", "days_back": 7,  "max_products": 1000 }

Range cuts / delistings

{ "store": "aldi",      "dataset": "removed", "days_back": 14, "max_products": 500 }

{ "store": "tesco",     "dataset": "removed", "days_back": 14, "max_products": 1000 }

{ "store": "supervalu", "dataset": "removed", "days_back": 14, "max_products": 1000 }

{ "store": "dunnes",    "dataset": "removed", "days_back": 14, "max_products": 1000 }

Day-over-day price moves

{ "store": "aldi",      "dataset": "changes", "max_products": 1000 }

{ "store": "tesco",     "dataset": "changes", "max_products": 1000 }

{ "store": "supervalu", "dataset": "changes", "max_products": 1000 }

{ "store": "dunnes",    "dataset": "changes", "max_products": 1000 }

Filtered pulls (substring match on product name — products only)

{ "store": "tesco",     "dataset": "products", "search": "heinz",         "max_products": 500 }

{ "store": "supervalu", "dataset": "products", "search": "kerrygold",     "max_products": 200 }

{ "store": "dunnes",    "dataset": "products", "search": "brennans",      "max_products": 200 }

{ "store": "aldi",      "dataset": "products", "search": "organic",       "max_products": 200 }

Tiny evaluation run (cheapest — costs ~10 rows)

{ "store": "aldi", "dataset": "products", "max_products": 10 }

Sample response

[
  {
    "id": "tesco:307552934",
    "name": "Heinz Baked Beans In Tomato Sauce 415G",
    "brand": "Heinz",
    "category_path": "Food Cupboard > Tinned Food > Tinned Beans, Pasta & Pulses",
    "pack_size": "415G",
    "price": 1.49,
    "unit_price": 3.59,
    "unit_basis": "1 KG",
    "offer_text": "Any 3 for £3 Clubcard Price",
    "was_price": 1.85,
    "clubcard_price": 1.00,
    "offer_valid": "13th May - 9th Jun",
    "url": "https://www.tesco.ie/groceries/...",
    "scrape_date": "2026-05-28"
  }
]

Every row carries scrape_date so you always know exactly when the price was captured.

Who uses this

Buyer	What they do with it
CPG brand teams	Track competitor pricing, promo depth and assortment share across all four retailers from a single API key
Retail suppliers	Monitor own-brand and private-label pressure against your products, daily
Market research & consultancies	Continuous Irish grocery price index, cost-of-living tracking, basket analysis
Pricing-intelligence apps	Power consumer-facing apps that compare prices across supermarkets
AI-agent builders	Connect Irish grocery price intelligence into private analyst copilots via commercial MCP-compatible access
Journalism & data investigations	Cited, timestamped, reproducible source data for stories on food inflation, shrinkflation, promotional intensity
Public bodies & regulators	Independent grocery price evidence for consumer protection, competition oversight and official statistics
Academic & policy research	Household-budget research, food-policy studies, longitudinal price tracking

Pricing

Pay-per-result, in USD, billed by Apify. You pay per row pushed to your dataset, plus a small flat fee per actor start. The active pricing is flat across Apify subscription tiers: every listed tier pays $0.003 per result row, which is $3 / 1,000 rows.

Apify plan	Per result row	Per actor start at default 1 GB
Free (no Apify subscription)	$0.003	$0.05
Starter (Bronze)	$0.003	$0.05
Scale (Silver)	$0.003	$0.05
Business (Gold)	$0.003	$0.05

Platform compute is included. The default run memory is 1 GB, so a normal run adds one start fee; manually increasing memory can increase the start fee. Apify's Platinum and Diamond tiers are also configured at the same $0.003 per result row.

What it costs at common volumes

Volume	Approx. user cost
100 rows (trial)	$0.35
1,000 rows	$3.05
3,000 rows (full Aldi guide)	$9.05
12,000 rows (full SuperValu guide)	$36.05
15,000 rows (full Dunnes guide)	$45.05
19,000 rows (full Tesco guide)	$57.05
47,514 rows (all 4 product catalogues, 4 runs)	$142.74
100,000 rows (hard cap)	$300.05

Run estimates show before you click Start, so you can right-size max_products to your budget. The hard cap is 100,000 rows per run.

Tip: A max_products: 100 trial costs $0.35 on every tier - enough to evaluate the schema and field quality before committing to a full pull.

Need more than this actor can give you?

Email info@basketwatchireland.com for:

• Unlimited direct API access — a fixed monthly subscription that bypasses Apify entirely, billed directly. Better economics for anyone pulling the catalogue more than ~once a month.
• Daily CSV bundles — automated daily drop to your S3 / GCS bucket.
• Intraday or on-demand pulls — sub-daily refresh cadence.
• Bulk historical exports — multi-year price history beyond what this actor returns.
• Private AI-agent / MCP access — BasketWatch wired into an internal analyst copilot. Connector details supplied only to approved customers.

Limits & guarantees

• Up to 100,000 rows per run (set via max_products); pagination against the upstream API is handled internally — your dataset just fills with rows.
• Output is always JSON pushed to the actor's default dataset. From there, export to CSV / Excel / JSON / JSONL / RSS / XML via the Apify Console or the dataset API.
• search filter applies to the products dataset only.
• days_back applies to new-products and removed only.
• All prices are in EUR (€); pack quantities normalised to grams / millilitres.
• scrape_date on every row tells you exactly when each price was captured.

Support & contact

📧 info@basketwatchireland.com — typical response within 24 hours.

Email directly for any of the following:

• API issues or data-quality questions — wrong price, missing product, weird pack-size value, suspicious day-over-day jump
• Commercial enquiries — custom solutions, additional Irish retailers, other markets (UK, NI, EU), bespoke integrations
• Intraday or on-demand pulls
• Bulk historical exports — multi-year price history, full back-catalogue
• Direct API access — skip Apify's pay-per-result model for a flat monthly subscription with unlimited pulls (better economics above ~one full multi-store pull per month)
• Private AI-agent access — commercial MCP-compatible access for internal analyst copilots and automated grocery-pricing workflows

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BasketWatch is not affiliated with Aldi Ireland, Tesco Ireland, Musgrave SuperValu or Dunnes Stores. Data is collected from publicly available sources for lawful market research and price comparison purposes.