eBay Data: 1.9M Auto Parts Listings from eBay.de, Specs Translated
About 1.9 million auto parts listings from eBay.de with brand, OEM, EAN and fitment, plus titles and specs machine-translated for the client's team.
Learn MoreBIG W prints the reason for a price next to it: Special, Clearance, Price Drop, a WAS figure or an RRP. Our BIG W scraper collects every product with that ticket and its seller.
Plans from €169/month · Free project assessment · Reply within 1 business day
There is nothing to install or configure. Tell us the scope - the whole bigw.com.au range, a few departments such as Toys or Home and Appliances, a brand list, one Marketplace seller, or a file of article numbers - and how often you need it. We build the crawlers, run them and repair them when BIG W changes its pages.
Availability on BIG W depends on the postcode and store a shopper has picked, and the storefront is guarded against automated traffic, so rendering, pacing, proxy rotation and CAPTCHA handling are part of the service. Runs are one-off or scheduled: daily for prices and tickets, weekly for the full range, on demand ahead of a catalogue sale. Start with a free project assessment, or order a sample for one category.
A BIG W product page is built around one identifier, the article number. It is printed above the title as Article, repeated in the Specification table and closes the product address after /p/; a colour variant of a garment adds a suffix to it. We use it as the row key, so a product keeps its identity from run to run.
Listing tiles on category, brand and seller pages repeat the price, ticket, star rating and fulfilment markers, so a price run can read listings alone and leave product pages for a slower cycle. Clothing with colour swatches and a size range is split into one row per option, because BIG W shows availability only once a colour and a size are chosen. Field documentation is delivered with every dataset.
One pass gives a price list. BIG W itself looks back only a fortnight, and only for Marketplace products, with its Lowest price in 14 days label. To track BIG W prices across the whole range we key every run on the article number and keep each price, ticket and seller we see.
BIG W is an Australian discount department store run by Woolworths Group, with stores around the country and one national online shop at bigw.com.au. The range is general merchandise: toys, clothing for women, men, kids and babies, home and appliances, furniture, tech and audio, gaming, books, health and beauty, sports, party, pet care, cleaning, and snacks and drinks.
Three things shape the site for anyone who needs its data. First, it is two catalogues in one. Beside the lines BIG W buys and sells itself sits the Marketplace, where third-party sellers list furniture, appliances, tech and refurbished goods; most of these carry the Delivery only and Online only markers and their own returns wording, and the sold and shipped by line on each product page separates the two. Second, a price never stands alone. BIG W publishes a guide to its value call-outs, so a ticket on a tile - Special, Clearance, Flash Deal, a WAS price, an RRP, Price after promotion - has a stated meaning that can be stored as a column. Third, availability is local: pick up, same day delivery and in-store stock depend on the postcode and store selected, so a national picture is assembled store by store.
The category tree runs several levels deep, each level with a numeric code in its address, and brand pages cut across it.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →BIG W sells many of the toys, small appliances, books and nappies that Kmart, Target, Amazon Australia and the supermarkets also carry, so its tickets are a natural reference point for general merchandise pricing in Australia. The uses follow the fields.
About 1.9 million auto parts listings from eBay.de with brand, OEM, EAN and fitment, plus titles and specs machine-translated for the client's team.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
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 web scraping agency: clients describe the data, we build and run the crawlers and deliver the dataset. Department-store sites like BIG W are familiar ground - one catalogue sold partly by the retailer and partly by marketplace sellers, tickets that turn over every couple of weeks and stock that differs by store. You choose departments, fields and schedule. We deliver CSV, Excel or JSON files, a JSON feed or a load into your database.
Yes. The ScrapeIt BIG W API returns article number, title, current price, ticket, the sold and shipped by line and availability 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. Prices, tickets, product details, seller names and availability are published on bigw.com.au for any shopper to read without an account. We collect only publicly available data - everything a visitor can see on BIG W - and we collect it legally.
Yes. Send a list of article numbers, barcodes or categories and we record the price, ticket, SAVE amount and seller on every run, daily if needed. The history starts with the first run, so it pays to begin before the sale period you want to analyse.
By BIG W's own definition a Special runs for a short period, usually a couple of weeks, and a Flash Deal is a price held for a short time. Daily runs catch both, while weekly runs are enough for range and assortment work. Clearance lines deserve a daily look because their stock is being run down.
Yes. Every row carries the sold and shipped by line, so BIG W-sold products and each Marketplace seller can be filtered or delivered as separate files. Store availability is collected for the postcodes or stores you name, as pick up, in-store and delivery flags per article number.
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.
Big W data from €169/month. Free project assessment, reply within 1 business day.
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