Our carsales scraper keeps the price type beside every price: one figure can be Drive away or Excl. Govt. Charges, and it can come from a dealer or a private seller.
Plans from €169/month · Free project assessment · Reply within 1 business day
You order data, not software. Give us the scope - all cars for sale, one state, a list of makes and models, dealer stock only, private ads only, electric cars - and the cadence. We build the crawlers for carsales.com.au, run them and keep them working as the site changes.
The site screens its visitors with an anti-bot service and is built for an Australian audience, so Australian proxy rotation, pacing, browser rendering and CAPTCHA solving come with the service. Rows are keyed on the carsales Network ID, the code that ends every listing address, so an ad is recognised in each run even when its title or price has changed. Delivery is CSV, Excel, JSON or JSONLines by SFTP, Amazon S3, Google Drive or e-mail, through our API, or as a load into your database - once, weekly, daily or on demand. The project assessment is free.
A listing on carsales has three layers: what the seller typed, what the site adds from RedBook specification data, and what the site calculates itself. We keep them apart, because they answer different questions.
Private sellers' names and phone numbers are personal data and are left out by default; the car, its price and its location stay.
The site shows the present. Most projects need the sequence.
The same group runs bikesales, boatsales, trucksales and caravancampingsales; each can be scoped as a further source in the same project.
carsales is an Australian car classifieds site: dealers and private sellers advertise new, demo and used cars, and buyers search them by make, model, state and a long list of technical filters. Its Buy menu already shows how the stock is cut - all cars, new cars, used cars, dealer cars, private seller cars, electric cars - and each of those is a slice a dataset can follow separately.
Three things set it apart for anyone who needs its data. Prices carry a declared type, Drive away or Excl. Govt. Charges, so two identical numbers are not always the same offer. Specifications are not left to the seller: they are sourced from RedBook, which belongs to the same group, and that gives every ad one vocabulary of series, badge, build date and compliance date. And the site grades prices itself, with a price indicator tag the seller can neither buy nor alter.
Listings are national in reach and local in practice: each shows its state, and dealer ads show the yard's address and licence. Around the classifieds sit editorial and owner reviews, a showroom of new models and a valuation tool. The company also operates marketplaces for bikes, boats, trucks, caravans, construction equipment and farm machinery.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Australia is a right-hand-drive market with its own model names, badges and compliance rules, so price data from overseas does not transfer. The listings on carsales are public evidence of local asking prices that can be counted.
Daily monitoring of car listings on car.gr and autoscout24.com, collecting full technical specifications to support a European auto dealer.
Learn MoreLearn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a web scraping agency: clients describe the data they need, and the building, running and upkeep of the crawlers is our side of the work. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Classifieds with two kinds of sellers, like carsales, need a clear line, and ours does not move: dealers are businesses, and their names, addresses and phone numbers are collected; private sellers are people, and theirs stay out. Personal data is handled under GDPR, we never log in, and we do not sell contact lists.
Yes, and the two are never mixed up: every row says dealer or private, with the category printed on the card. Dealer rows add the dealer's name, address, licence number and stock ID. Private rows keep the car, price, state and suburb, without the seller's name or phone number.
Yes. Send the makes, models, badges or build years and the states you care about; we revisit those searches daily or weekly and record price, price type and indicator for every ad. Price cuts and removed ads come out as dated events, which is what a price history is made of.
Yes. The ScrapeIt carsales API returns Network ID, title, price with its type, price indicator, odometer, dealer or private flag and state as JSON from an endpoint we host, refreshed on the schedule you set. If you prefer files, the identical rows arrive as CSV, XLSX or JSONLines, as a JSON feed or loaded into your database.
They include whatever the ad declares: a Drive away price is the on-road figure, a price marked Excl. Govt. Charges leaves government charges out, and dealers who quote drive away usually show both figures. Whether carsales prices include GST is not printed on the listing, so we do not infer it and deliver the amount with its declared type.
Yes. Every listing, with its price, specifications and dealer details, can be read by anyone who opens the site, no account needed. We collect only publicly available data - everything a visitor can see on carsales - and we collect it legally. Private sellers' names and phone numbers are left out by default, and personal data is handled under GDPR.
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.
carsales data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
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