As one of Australia’s most recognized retail brands, Big W shapes consumer trends across a wide range of categories — from clothing and electronics to toys, books, and home essentials. The website bigw.com.au captures what millions of Australians are browsing, comparing, and buying right now. With our Big W Scraper, you can tap into these insights to understand real demand patterns and make smarter, data‑driven decisions.
With our Big W web scraper, we collect exactly the data your business needs. We don’t provide SaaS tools or complex APIs — instead, we deliver already cleaned and structured information, ready to use. You choose the format — CSV, Excel, or JSON — and we’ll quickly provide you with complete, organised files without any extra effort on your side.
Using our Big W scraper, we can collect detailed product information directly from bigw.com.au. This includes product titles, full descriptions, prices, discounts, availability status, images, SKU codes, and technical specifications where provided. You get structured, ready‑to‑use data that reflects exactly what’s published on the platform right now.
Beyond core product details, we can scrape Big W for valuable additional insights. This includes customer ratings and reviews, related product suggestions, category structures, promotional labels, shipping options, and stock availability by location. Such data helps you track competitor strategies, identify seasonal patterns, and better understand how products perform across categories.
Big W is one of Australia’s leading discount department store chains and a part of the Woolworths Group. Since opening its first store in 1964, the brand has grown into a nationwide network with more than 170 physical locations and a strong online presence through bigw.com.au. The platform caters to millions of families by offering a wide selection of products — from clothing, electronics, and home essentials to toys, books, and baby care.
The website supports delivery across Australia, including same‑day and “Direct to Boot” pickup options, and integrates seamlessly with the Everyday Rewards loyalty program. With prices in AUD and a focus on affordability, Big W has become a go‑to destination for Australians seeking quality products at competitive prices. This makes data from the platform an invaluable source of insights into consumer demand and market trends.
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Pages extracted
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Customized plans that grow with your data needs.
€199 / one-time
setup fee — included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
A Big W data scraper gives you a complete picture of what drives consumer behaviour in Australia’s retail market. By analysing live product data, discounts, ratings, and availability, you can track competitor strategies, identify trends early, and refine your pricing or inventory decisions. Whether you’re building a marketplace, running an online store, or monitoring market shifts, insights from bigw.com.au help you make informed, data‑driven moves faster.
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ScrapeIt is a custom data extraction service that delivers structured information from e‑commerce platforms, marketplaces, and retail websites — including Big W scraper solutions. We collect exactly what your business needs and provide clean, ready‑to‑use data without requiring you to install tools or manage integrations. From single product feeds to large‑scale datasets, we handle the heavy lifting so you can focus on insights, not infrastructure.
We use a custom Big W extractor that collects data directly from the source, so you receive up‑to‑date and verified information.
Yes. Our Big W parsing process is fully customised. You can choose to focus on a single product page, an entire category, or the full catalogue — we adapt the scope to your business goals.
Unlike generic SaaS platforms, our data scraping services are fully managed. You don’t need to set up extractors, handle errors, or maintain proxies. We deliver clean, structured datasets, ready to use — no dashboards or integrations required.
Absolutely. If your company needs to compare multiple retailers, we can export datasets from Big W alongside data from other marketplaces.
Turnaround time depends on the dataset size and your specific requirements, but we aim to deliver the initial product data export as quickly as possible. For recurring updates, we can also set up an automated schedule to keep your data always current.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
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