Superstore, No Frills & Loblaws Grocery Price Scraper API

Extract grocery prices and product data from Real Canadian Superstore, No Frills, and Loblaws, including product names, current prices, sale prices, unit prices, package sizes, product images, product URLs, PC Optimum offers, and multi-buy deals.

This Actor is built for Canadian grocery price monitoring, retail analytics, grocery price comparison apps, food inflation research, and automated grocery data pipelines.

Use it to search products, scrape categories, monitor prices by postal code or store location, and export structured grocery data as JSON, CSV, Excel, or through the Apify API.

🔗 Related Actors

Pair this with our other Canadian grocery scrapers for full coverage:

• Save-On-Foods & PriceSmart Grocery Scraper — Western Canada coverage for Save-On-Foods and PriceSmart Foods.
• T&T Supermarket Scraper — Canada's largest Asian grocery chain, across BC, AB, ON, and QC.

Who is this for?

• Developers building grocery price comparison apps
• Retail analysts monitoring Canadian grocery prices
• CPG brands tracking competitor pricing and promotions
• Researchers studying food inflation and grocery affordability
• Data teams building product price databases
• Agencies and consultants creating retail dashboards
• Indie hackers building shopping, deal, or price alert tools

Features

• 🚀 Fast & reliable: No slow browser automation, no CAPTCHAs — get clean structured data in seconds
• 🛒 Three banners, one scraper: Extract data from Real Canadian Superstore, No Frills, and Loblaws with a single actor
• 📊 Complete product data: Names, prices, unit prices, package sizes, images, URLs, and product IDs
• 💰 Sale & promo tracking: Capture was-prices, multi-buy deals, and PC Optimum points offers
• 📍 Location-aware pricing: Auto-resolve the nearest store by Canadian postal code or specify a store ID
• ⚖️ Normalized unit prices: Get comparable $/100g or $/100ml pricing across products
• 📁 Multiple export formats: Download scraped data as JSON, CSV, or Excel
• 🔌 Integrations: Connect with Zapier, Make, Google Sheets, webhooks, and the Apify API

What data does Loblaws Grocery Scraper extract?

🏷️ Product name	💲 Price & sale price
📦 Package size (e.g., 500g)	📊 Unit price (e.g., $0.66/100g)
🖼️ Product image URL	🔗 Product page URL
🆔 Product ID	📍 Store location ID
⚖️ Selling type (by weight/by unit)	📈 Comparable unit price (normalized)
🏷️ Multi-buy deals	💎 PC Optimum offers

⬇️ Input

Field	Type	Required	Description
banner	string	✅	Store banner: superstore, nofrills, or loblaw
categories	string[]	❌	Departments or subcategories to scrape (multi-select dropdown)
categoryUrls	string[]	❌	Custom category URLs for subcategories not in the dropdown
search_terms	string[]	❌	Search terms to query (e.g., "milk", "organic eggs")
postal_code	string	❌	Canadian postal code to auto-resolve the nearest store
locationId	string	❌	Explicit store location ID (takes priority over postal_code)

At least one of categories, categoryUrls, or search_terms must be provided.

Category selection

The categories dropdown supports 130+ options organized by department:

• 📁 Departments (e.g., fruits-vegetables, deli) — scrapes all subcategories within
• └ Subcategories (e.g., deli/deli-meat, bakery/bread) — scrapes a single subcategory
• all — scrapes the entire store across all departments

When you select a department, the actor dynamically discovers all its subcategories via the store's API and queues each one for scraping.

Example inputs

Single subcategory:

{
  "banner": "superstore",
  "categories": ["bakery/bread"]
}

Entire department:

{
  "banner": "superstore",
  "categories": ["deli", "bakery"]
}

Mix of departments and subcategories:

{
  "banner": "superstore",
  "categories": ["meat", "dairy-eggs/cheese", "frozen-food/frozen-pizza"]
}

Full store scrape with location:

{
  "banner": "superstore",
  "categories": ["all"],
  "postal_code": "V6M 2P8"
}

Search terms only:

{
  "banner": "superstore",
  "search_terms": ["organic eggs", "oat milk"]
}

Custom URL (for L4 subcategories not in dropdown):

{
  "banner": "superstore",
  "categoryUrls": ["https://www.realcanadiansuperstore.ca/en/food/fruits-vegetables/fresh-vegetables/lettuce-leafy-vegetables/c/29612"]
}

⬆️ Output

Results are stored in a dataset accessible from the Output or Storage tab. Export as JSON, CSV, or Excel.

JSON output example

{
  "store": "Real Canadian Superstore",
  "name": "Bananas",
  "price": "0.69",
  "unit_price": "454 g, $0.15/100g",
  "image_url": "https://assets.shop.loblaws.ca/products/...",
  "product_url": "https://www.realcanadiansuperstore.ca/bananas/p/...",
  "product_id": "21023456",
  "location": "1517",
  "category": "fresh-fruits",
  "selling_type": "by_weight",
  "package_size": "454g",
  "parsed_package_size": {
    "size": 454,
    "unit": "g"
  },
  "normalized_package_size": {
    "size": 454,
    "unit": "g"
  },
  "parsed_unit_price": {
    "value": 0.15,
    "quantity": 100,
    "unit": "g",
    "unit_type": "weight"
  },
  "comparable_unit_price": 0.15,
  "was_price": 0.89,
  "is_on_sale": true,
  "multi_buy_deal": "2 for $1.00",
  "pc_optimum_offer": "1000 points"
}

Output fields

Field	Description
store	Store name (Real Canadian Superstore, No Frills, or Loblaws)
name	Product display name
price	Current price (without $ symbol)
unit_price	Raw unit price string from store (e.g., "454 g, $0.15/100g")
product_url	Direct link to product page
selling_type	by_weight or by_unit — how the product is priced
package_size	Package size as string (e.g., "500g", "2l")
parsed_unit_price	Structured unit price with value, quantity, and unit
comparable_unit_price	Normalized price per 100g or 100ml for comparison
was_price	Previous price before sale (null if not on sale)
is_on_sale	Whether the product currently has a deal
multi_buy_deal	Multi-buy promotion text (e.g., "2 for $5.00")
pc_optimum_offer	PC Optimum loyalty points offer, if any

🏪 Supported stores

Banner	Store Name
superstore	Real Canadian Superstore
nofrills	No Frills
loblaw	Loblaws

The scraper works identically across all three banners.

🔧 Environment variables

Variable	Required	Description
BULLSEYE_API_KEY	❌	API key for postal code → store ID resolution
BULLSEYE_CLIENT_ID	❌	Client ID for postal code → store ID resolution

These are only needed if you use the postal_code input field. If you always specify locationId directly, they are not required.

❓ FAQ

Is there an official Loblaws API?

Loblaws does not offer a public API for product or pricing data. This actor gives you a reliable, structured alternative — fresh grocery data without the maintenance overhead of building your own scraper.

Is it legal to scrape Loblaws?

Scraping publicly available product and price information is generally legal, but you are responsible for complying with Loblaws' terms of service and any applicable laws in your jurisdiction. Use the data responsibly and avoid excessive request volume.

How much does it cost to run?

The actor runs on Apify's pay-per-usage model. Small scrapes (a few categories or search terms) typically fit within Apify's free tier credits. Larger full-store scrapes scale with the number of products and API calls.

Can I scrape multiple categories at once?

Yes! Select multiple departments or subcategories in the categories dropdown, or use "all" to scrape the entire store. You can also combine categories with search terms in a single run.

How does category selection work?

Selecting a department (e.g., "Deli") scrapes all of its subcategories automatically. The actor queues every subcategory under the chosen department, so you get the full department's products in one run.

How do I find the location ID for my store?

Use the postal_code field instead — the actor will automatically resolve the nearest store. Alternatively, common Vancouver store IDs:

Real Canadian Superstore: 1517 (Marine Dr), 1520 (Grandview Hwy) No Frills: 3641 (Denman), 3410 (Fraser), 3671 (Alma), 9532 (Hastings E) Loblaws: 1050 (Toronto default)

Can I integrate the Loblaws scraper with other tools?

Yes! Use Apify integrations to connect with Zapier, Make, Google Sheets, Airbyte, and more. You can also trigger runs via webhooks or the Apify API and export scraped data as JSON, CSV, or Excel.

Can I schedule recurring Loblaws scrapes?

Yes — use Apify's built-in scheduler to run the actor daily, weekly, or on any cron schedule. This is ideal for tracking grocery price history over time or monitoring sales and PC Optimum offers.

📝 Your feedback

We're always working on improving the performance of our Actors. If you've got any technical feedback for Loblaws Grocery Scraper or found a bug, please create an issue on the Actor's Issues tab.