BasketWatch — Irish Grocery Data

Every SKU. Every shelf price. Every promotion. Across all four major Irish supermarkets — Aldi, Tesco, SuperValu and Dunnes Stores — refreshed weekly.

The only data feed on Apify Store that covers the full Irish grocery market in one place. 47,514 live SKUs as of this week — 16,468 of them currently on promotion — structured into clean JSON rows, with promotional pricing, loyalty-card prices, multibuys, was-prices and offer-validity windows already parsed and ready for analysis.

🗓️ Refresh schedule

All four retailers are scraped every Friday morning at 02:00 GMT. Every actor run from that point in the week reads from the latest weekly snapshot — the scrape_date field on each row tells you exactly when the price was captured. Need a faster cadence (daily, twice-weekly, on-demand)? See the contact details at the bottom of this page.

Why this 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 anti-bots aggressively and emits prices in a different shape. Building this in-house means:

• 4 separate scrapers, each with its own regex + class-name extraction rules
• Anti-bot bypass infrastructure that survives Cloudflare and JavaScript challenges
• Weekly maintenance as each retailer's markup drifts
• Data-quality fixes for the inevitable per-unit-vs-pack-price misreads, cents-suffix parse errors, promo-badge collisions, etc.
• Cross-retailer SKU matching by brand + canonical pack size

We've done all of that and packaged it into one Apify actor. You call the endpoint, you get clean rows.

What you get

Pick a retailer and a dataset — get back structured rows you can load directly into pandas, BigQuery, Excel, your warehouse or pipeline:

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	Only products currently on offer — offer label (e.g. "3 for €5", "SAVE €0.75", "Only €2.50"), was-price, validity window ("13th May - 15th Jun"), Tesco Clubcard prices, SuperValu Real Rewards and Dunnes member-only pricing where promoted
new-products	Products newly listed within a configurable window — range additions / launches
removed	Products that have dropped off the catalogue — delistings / range cuts
changes	Week-over-week price movements with delta and % change (compares the latest weekly snapshot to the previous one)

Available data per retailer

Any combination below is valid input to the actor — set store and dataset to one of these and you'll get the matching rows:

dataset ↓    store →	Aldi	Tesco	SuperValu	Dunnes
products	✓ 2,948	✓ 19,057	✓ 11,069	✓ 14,440
promotions	— (Aldi doesn't publish multibuy promos)	✓ 7,089 on offer	✓ 3,219 on offer	✓ 6,160 on offer
new-products	✓	✓	✓	✓
removed	✓	✓	✓	✓
changes	✓	✓	✓	✓

Counts are the live current SKU figures (refreshed weekly). new-products / removed row counts depend on the days_back window you pass; changes returns however many SKUs moved week-over-week.

Example input:

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

Returns up to 1,000 Tesco products currently on offer — with Clubcard prices, was-prices, multibuy labels and offer-validity windows already parsed. Search by product name (e.g. heinz, cadbury, kerrygold) is supported on the products dataset via the search input.

Sample output

Input:

{
  "store": "tesco",
  "dataset": "promotions",
  "max_products": 50
}

Output (one row per product on offer):

{
  "id": "tesco:307552934",
  "store": "tesco",
  "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": "2026-05-21"
}

Use cases

Buyer	What they do with it
CPG brand teams	Track competitor pricing, promo depth and assortment share across all four retailers from a single feed
Retail suppliers	Monitor own-brand and private-label pressure against your products, weekly
Market research & consultancies	Continuous Irish grocery price index, cost-of-living tracking, basket analysis
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

How it works

This actor is a thin client over a hardened weekly scrape pipeline. The four retailers are scraped on a fixed weekly cadence — every Friday at 02:00 GMT — by infrastructure that handles:

• Mercatus storefront parsing (SuperValu + Dunnes) with corrected ProductPrice selectors — no per-unit-price-as-headline misreads
• Anti-bot bypass for Cloudflare-fronted endpoints
• Multipack canonicalisation — "4 x 330ml", "12 Pack (330 ml)" and "2L" all normalise to comparable units
• Promo capture — offer label + was-price + validity window from PromotionLabelBadge / ProductWasPrice / OfferValidMessage elements
• Loyalty-tier pricing — Tesco Clubcard prices, SuperValu Real Rewards pricing, Dunnes member offers
• Data-quality checks — week-over-week catalogue-drop detection, per-product outlier sweeps, regression-tested parsers

You don't pay for any of that scraping cost on a per-call basis — the pipeline runs once a week regardless. Each actor run reads from the already-fetched snapshot, so:

• Fast: <2 seconds per page of results (vs 5-15 minutes for a live scrape)
• Cheap to fulfil: marginal cost per row is fractions of a cent
• Consistent: the same parser fixes and regression-tested extraction rules across every call

The scrape_date field on every row tells you exactly when each price was captured.

Weekly (Friday 02:00 GMT) is the default cadence. Daily or twice-weekly snapshots can be stood up for buyers with a continuous-monitoring use case (e.g. live inflation tracking, real-time competitive-pricing dashboards) — the underlying scrape infrastructure already supports it; gating is on committed demand rather than engineering. Reach out to basketwatchireland@gmail.com if that's you.

Pricing

Pay-per-result — only pay for rows you actually receive. Your Apify subscription tier determines the per-row rate:

Your Apify plan	Per result	Per 1,000 rows	Full Aldi (2,948)	Full Tesco (19,057)
Free (no subscription)	$0.05	$50.00	~$147	~$953
Starter (Bronze)	$0.01	$10.00	~$29	~$191
Scale (Silver)	$0.007	$7.00	~$21	~$133
Business (Gold)	$0.005	$5.00	~$15	~$95

Plus a flat $0.05 per run (Actor start) — waived for the first 5 seconds of runtime. Platform compute is included; no separate platform charges on top.

Maximum rows per run is configurable up to 100,000 — enough for a full multi-retailer pull in a single run if you need it.

Need unlimited API access, bulk historical exports or a direct integration that bypasses Apify? Email basketwatchireland@gmail.com.

Coverage (live figures, refreshed weekly)

Retailer	SKUs	On promotion now	Promotional data	Loyalty pricing
Aldi	2,948	—	Limited (Aldi doesn't publish multibuy promos)	—
Tesco	19,057	7,089	Full incl. multibuys & "Tesco Finest"	Tesco Clubcard prices as a dedicated field
SuperValu	11,069	3,219	Full incl. "3 for €X" multibuys, was-prices, validity windows	SuperValu Real Rewards member pricing captured in offer label
Dunnes Stores	14,440	6,160	Full incl. multibuys, was-prices, validity windows	Dunnes member offers captured in offer label
Total	47,514	16,468

Every actor run reflects the most recent weekly snapshot. The scrape_date field on each row tells you when that price was captured.

Limits

• Hard cap of 100,000 rows per run. Large pulls scale linearly in cost.
• Search filtering currently applies to the products dataset only.

Support & contact

📧 basketwatchireland@gmail.com

Email directly for any of the following — typical response within 24 hours:

• Scraper issues or data-quality questions — wrong price, missing product, weird pack-size value, suspicious week-over-week jump
• Commercial enquiries — custom scraping solutions, additional Irish retailers, scraping for other markets (UK, NI, EU), bespoke integrations
• Higher-cadence pulls — daily / twice-weekly / on-demand snapshots
• Bulk historical exports — multi-year price history, full back-catalogue
• Direct API access — integrate against the BasketWatch API directly (skipping Apify) for unlimited pulls and lower marginal cost

You can also use Apify's Contact maintainer button on this listing — it routes to the same inbox.

---

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.