Coles scrapers compared

Cost per product or store saved to the dataset. Each store gets its own rows.

• Add-on: Product details (details)

One product from one chain with its price, was-price, unit price, stock and category. Errors and filtered-out products are free.

• Price comparison (comparison)
• Store (store)
• Add-on: Nutrition and ingredients (nutrition-lookup)

Charged for each product returned in the dataset.

• Detail enrichment (detail-enrichment)

One product from one chain, with price, specials and unit price.

• Comparison result (comparison)

One Coles product with prices returned in the dataset.

• Product details add-on (product-details)

One record in the dataset: a product with price, unit price, specials and stock (or one store in store directory mode)

• Full product details (product-details)

One grocery product delivered to your dataset, with all available fields.

One Coles or Woolworths product row saved to the dataset.

One product row saved to the dataset. Failed categories and summary rows are free.

Charged for each product row saved to the dataset.

• Price comparison (comparison)

One product from one retailer (Coles, Woolworths or ALDI) delivered to the dataset, with its price, was-price, promotion and unit price.

• Product checked (price monitoring) (product-checked)

One product row saved to the dataset.

• Store page read (page)

One product row from Coles, Woolworths or ALDI, including store-specific price when postcodes are set.

• Actor start (actor-start)

One product saved to the dataset, from any of the three stores. Error and no-result rows are not charged.

Output "Products": one product of one chain matching a shopping-list item, with its price and comparable price per kg / L / each. Products that do not match the item are free.

• Item comparison (comparison)

Charged for each product record saved to the dataset (including new, changed and removed products in monitoring mode).

• Actor start (actor-start)
• Coles product details (barcode) (product-details)
• Unchanged product checked (product-checked)

One product from a search, category browse or the specials catalogue.

• Run started (run_start)
• Product detail (product_detail)
• Watchlist check (watch_check)
• Change detected (change)

One Coles product delivered. Searches without results and skipped full-price products are not charged.

Cost per product saved to the dataset. Products without a price are skipped and not charged.

One product at one store, with price, specials, unit price and stock.

• Product details (product-details)
• Store row (store)

One product row from search or category listing (price, specials, unit price, barcode).

• Product with details (product-detail)

One row for a Coles product with a price, read from the category pages you gave: name, brand, size, price, was price, saving, special label, multi-buy offer, unit price, stock, aisle, product URL and image. Each product is one row per category per run. In monitor mode a row is returned only for a price drop, a new special or a newly listed product (and a price increase if you switch it on). Products listed without a price, categories or pages that cannot be read, and the first monitor-mode run of a category are free. There is no start fee.

• Monitoring check (category-checked)

One returned row: a product at one store with its stock count, prices and specials. Rows removed by your filters, and unchanged rows in monitoring mode, are free.

Single result in the default dataset.

One product (or one format, with 'One row per format') saved to the dataset with price, ISBNs, authors and online stock. Rows for codes Indigo doesn't carry are free.

• Per-store stock add-on (store-stock)
• Ratings & reviews add-on (reviews)

One Coles product saved to the dataset (price, was-price, specials, multibuy, unit price, product ID, brand, size, images, availability, category).

• Product details fetched (detail)

One Coles product with price, was-price, unit price, special, stock, categories and aisle at your store.

• Full product details (details)

One product row pushed to your dataset.

One grocery product with price, was-price, unit price and special flag.

One Coles product with its price, unit price, special and availability. The first 10 products of every run are free.

• Product with details (product-details)