Save-On-Foods, PriceSmart & Urban Fare Scraper API - Canada

Western Canada grocery price data from the four Pattison Food Group chains, priced at the individual store by postal code.

The Save-On-Foods Scraper API returns live shelf prices, sale prices, unit prices and weekly deals from Save-On-Foods, PriceSmart Foods, Urban Fare and Quality Foods, with no API key and no browser.

• Chains: Save-On-Foods, PriceSmart Foods, Urban Fare, Quality Foods
• Coverage: BC, Alberta, Saskatchewan, Manitoba
• Every row: name, price, was-price, sale flag, unit price, normalized unit price, package size, image, product URL, product ID, store details, multi-buy deals
• Setup: none. No API key, no account, no proxy.

Each chain prices independently. The same 3.25% milk can be $7.99 at Save-On-Foods and $8.49 at Urban Fare on the same day in the same city.

Run it

Paste this into the Input tab (switch to JSON view) and hit Start:

{
  "banner": "saveonfoods",
  "search_terms": ["eggs", "milk", "chicken breast"],
  "postal_code": "V6M 2P8"
}

Rows stream into Output as they arrive. Download from Storage → Dataset as JSON, CSV or Excel.

Three things to change from there:

• Scrape a whole department by swapping search_terms for categories, e.g. ["fruits-vegetables", "dairy-eggs"]
• Price a different store by changing postal_code to yours
• Switch chains with banner: pricesmart, urbanfare or qualityfoods

From the API

Grab a token at console.apify.com/settings/integrations:

curl -X POST \
  "https://api.apify.com/v2/acts/sunny_eternity~save-on-foods-pricesmart-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"banner": "saveonfoods", "search_terms": ["eggs", "milk", "chicken breast"], "postal_code": "V6M 2P8"}'

• run-sync-get-dataset-items suits small runs and can time out on large ones
• For scheduled or full-store scrapes, POST to /runs and read the returned defaultDatasetId
• Official JavaScript and Python clients work too

What you get back

{
  "store": "Save-On-Foods",
  "name": "Organic Whole Milk 2L",
  "price": "5.99",
  "unit_price": "$0.30/100ml",
  "comparable_unit_price": 0.30,
  "package_size": "2000ml",
  "selling_type": "by_unit",
  "was_price": null,
  "is_on_sale": false,
  "multi_buy_deal": null,
  "image_url": "https://assets.shop.saveonfoods.com/products/...",
  "product_url": "https://www.saveonfoods.com/sm/planning/rsid/1982/product/...",
  "product_id": "00000000123456",
  "category": "dairy-eggs/milk-creams",
  "location": "1982",
  "location_name": "Save-On-Foods Marine Drive"
}

Field	What it holds
store	Chain name: Save-On-Foods, PriceSmart Foods, Urban Fare or Quality Foods
name, price	Product name and current price, no $ symbol
unit_price	Raw unit price string from the store, e.g. "$0.30/100ml"
comparable_unit_price	Normalized $/100 g or $/100 ml, null when the size will not parse
parsed_unit_price, parsed_package_size, normalized_package_size	Structured value, quantity and unit forms
package_size, selling_type	Size string, plus by_weight or by_unit
was_price, is_on_sale, multi_buy_deal	Pre-sale price, sale flag, promotion text
image_url, product_url, product_id	Media and identifiers
category	Category slug, or search:<term> for dedicated search results
location, location_name, location_postal_code, location_coordinates	The store the prices came from

Export as JSON, CSV or Excel, pull it through the Apify API, schedule recurring runs, or push it into Zapier, Make, Google Sheets and Airbyte.

Why this Actor

• 705 runs across the suite in the last 30 days, none ended in a failed state. Run stats are public on the Apify API; figures from August 2026.
• Covers four banners from one input. All four run on one platform, so categories and output fields are identical across them. Urban Fare and Quality Foods are the two most competing scrapers leave out.
• Prices down to the individual store. Postal codes resolve against the chain's own live store directory, and every row names the store, its rsid, its postal code and its coordinates.
• Works outside the metros. Because the directory is read at runtime, Nanaimo, Kelowna, Prince George, Calgary, Edmonton, Saskatoon and Winnipeg resolve as reliably as downtown Vancouver.
• Runs without a browser. The only runtime dependency is the Apify SDK, reading the same JSON API the storefront reads, so you pay for no headless Chrome and hit no CAPTCHAs.
• Needs no credentials at all: no API key, no account, no third-party geocoder, no proxy configuration.
• Normalizes unit prices to $/100 g or $/100 ml, and leaves comparable_unit_price as null where a package size will not parse, which keeps a bad number out of your comparison.
• Refuses out-of-footprint input. A postal code a chain does not serve returns an error naming the provinces it does, so an Ontario query never quietly comes back with a BC store.

What people build with it

• Grocery price comparison apps covering BC, Alberta, Saskatchewan and Manitoba
• Food inflation research, by rerunning a fixed basket weekly and diffing price over time
• CPG competitor monitoring across all four Pattison banners at once
• Deal sites, pulling is_on_sale, was_price and multi_buy_deal
• AI shopping agents that need grounded Western Canada prices
• Regional price studies, comparing Vancouver against Nanaimo, Kelowna, Prince George or Saskatoon

Input

Field	Type	Required	Description
banner	string	yes	saveonfoods, pricesmart, urbanfare or qualityfoods
categories	string[]	one of	Departments or subcategories; 125 entries (14 departments, 111 subcategories)
categoryUrls	string[]	one of	Raw category IDs for subcategories missing from the dropdown
search_terms	string[]	one of	Keyword queries; combined with categories they filter by name instead
postal_code	string	one of	Canadian postal code; resolves the nearest store. Default V6M 2P8
locationId	string	one of	Explicit store rsid, takes priority over postal_code

• At least one of categories, categoryUrls or search_terms is required
• At least one of postal_code or locationId is required, so the Actor knows which store to query
• Selecting a department queues every subcategory beneath it
• Setting categories and search_terms together filters the category results by product name, with no separate search call, and category holds the category slug
• Used on its own, each search term goes to the store's search API and its rows are tagged category: "search:<term>"

Examples

One subcategory:

{ "banner": "saveonfoods", "categories": ["bakery/breads"] }

Departments and subcategories mixed:

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

A specific store by rsid:

{ "banner": "pricesmart", "locationId": "2274", "categories": ["fruits-vegetables/fresh-fruit", "bakery/breads"] }

Keyword search:

{ "banner": "saveonfoods", "locationId": "1982", "search_terms": ["oat milk", "sourdough bread"] }

Category results filtered by keyword:

{ "banner": "saveonfoods", "postal_code": "V6M 2P8", "categories": ["dairy-eggs/cheese"], "search_terms": ["lactose free"] }

Supported stores

Banner	Store	Where
saveonfoods	Save-On-Foods	BC, AB, SK, MB
pricesmart	PriceSmart Foods	Metro Vancouver
urbanfare	Urban Fare	Vancouver, Kelowna
qualityfoods	Quality Foods	Vancouver Island, Sunshine Coast

All four run on one Pattison Food Group platform, so the Actor behaves identically for each.

FAQ

How do I scrape Save-On-Foods prices? Set "banner": "saveonfoods" and give either search_terms or categories, plus a postal_code or locationId. The Run it input above is a working example.

Can I get grocery prices for a specific postal code? Yes. Pass any Canadian postal_code inside the chain's footprint and the Actor resolves the nearest store, then reports its name and rsid on every row.

Does it cover Urban Fare and Quality Foods? Yes, with "banner": "urbanfare" or "qualityfoods". Both run on the same platform as Save-On-Foods, so categories and output fields are identical.

Is there an official Save-On-Foods or PriceSmart API? No. None of the four chains publishes a public product or pricing API.

How do I find a store's rsid? In most cases postal_code is enough. Otherwise browse to your store on the chain's site and read the rsid out of the URL (/sm/planning/rsid/1982/):

• Save-On-Foods: 1982 Vancouver Marine Drive, 2236 Vancouver False Creek, 6638 Calgary Mount Royal
• PriceSmart Foods: 2281 Burnaby Station Square
• Urban Fare: 7614 Vancouver Yaletown
• Quality Foods: 4714 Nanaimo Harewood

Does it work outside the big cities? Yes. The Actor reads the chain's live store directory rather than a bundled table, so Nanaimo, Kelowna, Prince George, Saskatoon and Winnipeg resolve as reliably as downtown Vancouver.

How do I track prices over time? Schedule the Actor daily or weekly in Apify, keep each run's dataset, and compare price per product_id per store. The Actor returns current prices and stores no history itself.

Is scraping Save-On-Foods legal? Scraping publicly available product and price information is generally legal. Complying with each retailer's terms of service and the law in your jurisdiction remains your responsibility, so keep request volume reasonable.

Canadian grocery Actors

Actor	Chains	Coverage
Canadian Grocery Price Comparison API	16, matched and ranked in one run	Nationwide
Loblaws, No Frills, Superstore & Maxi Scraper API - Canada	12 Loblaw banners	Every province, YT, NT
Save-On-Foods, PriceSmart & Urban Fare Scraper API - Canada (this Actor)	4 Pattison Food Group banners	BC, AB, SK, MB
T&T Asian Supermarket Grocery Price Scraper API - Canada	T&T	BC, AB, ON, QC
Costco Scraper API - Warehouse Prices & Deals	Costco warehouses	Canada and US

All four retailer Actors emit the same 21 core fields, among them name, price, was_price, is_on_sale, unit_price, comparable_unit_price, package_size, selling_type and the location set. Their datasets concatenate without a mapping layer. Chain-specific extras such as pc_optimum_offer sit alongside those fields.

Feedback

Found a bug or have technical feedback? Open an issue on the Actor's Issues tab.