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Learn MoreColes shows prices for the location a shopper has set, and they can differ between stores and online. Our Coles scraper records price, unit price and specials for the stores you name.
Plans from €169/month · Free project assessment · Reply within 1 business day
Nothing is installed on your side. You tell us which part of the Coles website to scrape - the whole catalogue, a few departments, a brand list or a basket of product codes - and for which stores or delivery areas, and we build the Coles web scraper, run it and repair it when the site changes. Coles prices by location, so every run is tied to the store or delivery area you name and each row is stamped with it.
The site turns ordinary automated traffic away, so anti-bot handling, proxy rotation, rendering and pacing are part of the service. We start with a free project assessment and a sample. Runs are one-off or scheduled - weekly to follow the specials, daily for price-sensitive lines - and arrive as CSV, Excel or JSON with field documentation.
A Coles dataset is built on the product code. Every product address on coles.com.au ends in a numeric code, and the same number is printed on the page as Code, so a row keeps its identity from run to run even when the name or the pack size is edited. Around that key we collect what a shopper sees:
Department and Specials pages carry the same price fields as the product page, so a price-only feed does not have to open every product. The ingredient and nutrition columns do. Every row also names the store or delivery area it was collected for.
A single pass answers what Coles prices are this week. A Coles price tracker is the same crawl repeated, and that is where the value sits: the site prints a Was price only while a special runs and says nothing about last month.
The weekly catalogue is published per location and can be captured alongside. My Offers and Bought before belong to a signed-in shopper; we never log in, so they stay out of the dataset.
Coles is one of Australia's national supermarket chains, and coles.com.au is both its online shop and the public record of its shelf. Its footer is signed Coles Online, Hawthorn East, Victoria, and the shop sells for home delivery and Click & Collect. Liquor is sold and supplied by Liquorland, which appears on the site as a department of its own.
The catalogue is laid out the way the stores are: Fruit & Vegetables, Bakery, Deli, Pantry, Drinks, Frozen, Baby, Pet, Home & Garden and the other departments, each broken into categories and then aisles. A department page lists its products with a results count, a Coles brands switch for own-label lines such as Coles Simply, and filters for brand, allergen, dietary need and kind of special.
What a data buyer has to plan around is location. A shopper is asked to set a shopping method, and once a store or delivery address is chosen, prices, specials and availability are those of that location - Coles says so in a price disclaimer on every product page. There is no single national price list to copy. There is a price per product per location, and it is refreshed as the specials roll over each week.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Coles prints a unit price beside every shelf price and labels every special, which makes its shelf easy to compare line by line - provided the rows were collected for the right location. A Coles price scraper does that collecting.
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If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a managed data extraction service: we build, run and maintain the crawlers and deliver the dataset, so your team works with rows and not with scripts.
Supermarket sites like Coles are a particular kind of job. The catalogue is large, the price depends on the chosen store and the specials change every week, so most of the work goes into keeping location, unit of measure and offer mechanics straight in every row. Tell us the stores, the departments and the rhythm you need: assessing the project costs nothing, and a sample can be ordered before you commit.
Yes. The ScrapeIt Coles API returns product code, name, pack size, price, unit price, special label and Was price for each location as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Product pages, department pages and the Specials section of coles.com.au are open to any visitor without an account. We collect only publicly available data - everything a visitor can see on Coles - and we collect it legally. We never log in, so offers tied to a shopper's account are not collected.
Yes. Send the product codes or name the departments, and on every run we record price, unit price, special label, Was price and multi buy offer, each row dated and tied to its location. The history begins with the first run, because the site itself shows only the current price and, during a special, the Was price.
No. Coles states on each product page that the price is displayed based on location information and that prices may vary between its stores and online. We set the store or delivery area you name before collecting, and you can order several locations in one dataset to compare them side by side.
Specials turn over weekly, in step with the catalogue, so a weekly run after the changeover captures every SPECIAL, 1/2 PRICE and multi buy line. Shelf prices outside the specials follow no such calendar, so for lines you watch closely a daily run is the safer choice. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Coles data from €169/month. Free project assessment, reply within 1 business day.
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