🛒 What is Loblaws Grocery Scraper?

Loblaws Grocery Scraper lets you extract product and pricing data from Canadian grocery stores, helping you track prices, compare deals, and build grocery price databases with just a few clicks.

• Track grocery prices: Extract product names, prices, unit prices, and images to monitor price changes over time
• Compare across stores: Scrape Real Canadian Superstore and No Frills to find the best deals
• Build price databases: Automate data collection for grocery price comparison apps or research
• Analyze unit pricing: Get normalized $/100g or $/100ml pricing for apples-to-apples comparison
• Location-aware pricing: Different store locations may have different prices - scrape any specific store

The scraper uses the internal Loblaws API directly, bypassing the need for slow browser automation and providing fast, reliable data extraction.

What data does Loblaws Grocery Scraper extract?

🏷️ Product name	💲 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)

For maximum usefulness, Loblaws Grocery Scraper has the following abilities:

• Extract anything: names, prices, unit prices, images, package sizes, and product URLs
• Flexible store selection: scrape Real Canadian Superstore or No Frills with a single toggle
• Location-aware: specify any store location ID for location-specific pricing
• Automatic pagination: handles multi-page categories automatically
• Normalized pricing: calculates comparable unit prices ($/100g or $/100ml) for easy comparison

⬇️ Input

The input for Loblaws Grocery Scraper requires a store banner and category URL. You can optionally specify a location ID for store-specific pricing.

Field	Type	Required	Description
banner	string	✅	Store banner: superstore or nofrills
categoryUrl	string	✅	Full URL of the category page to scrape
locationId	string	❌	Optional store location ID for pricing

Example input

{
  "banner": "superstore",
  "categoryUrl": "https://www.realcanadiansuperstore.ca/en/food/fruits-vegetables/fresh-vegetables/c/28195",
  "locationId": "1517"
}

Finding category URLs

1. Go to realcanadiansuperstore.ca or nofrills.ca
2. Navigate to any category (e.g., Food → Fruits & Vegetables → Fresh Vegetables)
3. Copy the URL from your browser - it should contain /c/ followed by a category ID

Common location IDs

Real Canadian Superstore (Vancouver):

ID	Location
1517	Marine Drive
1520	Grandview Highway

No Frills (Vancouver):

ID	Location
3641	Denman Street
3410	Fraser Street
3671	Alma Street
9532	Hastings East

⬆️ Output

The results will be wrapped into a dataset which you can find in the Output or Storage tab. You can view results as a table or JSON, and export in various formats (JSON, CSV, Excel).

JSON output example

Here's an example of a single scraped product:

{
  "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": "unknown",
  "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
}

Output fields explained

Field	Description
store	Store name (Real Canadian Superstore or No Frills)
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

🏪 Supported stores

Banner	Store Name	API Handler
superstore	Real Canadian Superstore	Loblaws API
nofrills	No Frills	Loblaws API

Both stores use the same underlying Loblaws API, so the scraper works identically for both.

❓ FAQ

How does Loblaws Grocery Scraper work?

It calls the internal Loblaws API directly (the same API their website uses), which is much faster and more reliable than browser-based scraping. The scraper handles pagination automatically, requesting each page until all products are collected.

Can I scrape multiple categories at once?

Currently, each run scrapes one category. To scrape multiple categories, you can run the actor multiple times with different category URLs, or use Apify's scheduling feature to automate regular scrapes.

How do I find the location ID for my store?

Location IDs are internal store identifiers. Common Vancouver locations are listed above. For other locations, you can find them by inspecting network requests on the Loblaws website, or contact us for help.

Is it legal to scrape Loblaws?

Web scraping of publicly available data is generally legal. Product prices displayed on public websites are not personal data. However, you should review Loblaws' Terms of Service and ensure your use case complies with applicable laws.

Can I integrate this with other tools?

Yes! You can use Apify integrations to connect with Zapier, Make, Google Sheets, and more. You can also use webhooks to trigger actions when scraping completes.

📝 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.