About Data Boutique
Data Boutique is a web-scraped data marketplace.
If you’re looking for web data, there is a high chance someone is already collecting it. Data Boutique makes it easier to buy web data from them.
Join our Platform to learn and interact about this project:
Stop Web Scraping H&M
Data Boutique is designed to host any kind of public web data. From food prices to user product ratings and reviews, job listings, real estate, and store locators.
An ambitious task, and we will get there one step at a time.
Our first step has been e-commerce price data. There are many reasons for starting with e-commerce, and fashion e-commerce makes perfect sense, from market size to fragmentation and technology adoption.
That’s where we started, with a clear purpose in mind: Helping web data buyers find something that helps them (not everything they need).
Data Boutique is in the business of saving money and reducing risks: The purpose is to have the most requested web data, in a Pareto-like rule of thumb, that 20% of websites that make the 80% of web scraping time and cost use.
Let’s say, you need web data on fast fashion brands. There are thousands of brand names you may need, some are big, and some are small. Some you think are relevant, some you think are less. Your entire coverage will be impossible to fill at 100% with our model (dataset scraped in advance by someone else).
But we know one thing: There is an incredibly high chance, within your list to have one of the largest brands in the industry.
We don’t say, “Stop web scraping and buy everything here”. We say, “Stop scraping H&M”. Because it’s faster, cheaper, and safer to buy it here. Keep on doing like you’re doing today for the other websites. You’ll still save money.
Over time, we will have your back on other websites.
For now, you can stop web scraping H&M.
What's LIVE on Data Boutique
Data Boutique has been live for a little over a month. It’s time to take the weekend to look at the work done so far and see what data is available (spoiler: There’s H&M).
Fast Fashion Giants: H&M, Zara and Mango
You can find full product prices and discounts from three major fast fashion brands:
H&M, the Swedish fashion brand founded in 1947
Zara, the Spanish fashion brand founded in 1974, owned by Inditex
Mango, the Spanish fashion brand founded in 1984.
Additional Bonus: These websites' data providers collect variant-level detail, meaning you can find each product in all color, material, and size variant details.
Other fast fashion retailers coming soon include:
Zalando, a German fashion online retailer founded in 2008
Uniqlo, a Japanese retailer founded in 1949 and owned by Fast Retailing
AboutYou, a German online retailer founded in 2014
Farfetch, the Most Relevant Marketplace
Farfetch is particularly relevant for the fashion and luxury industry because it changed how brands of any size approached a concession model. It is one of the most requested datasets in Data Boutique today, proving to be a goldmine of information.
Data buyers use it for competitive intelligence, price monitoring, discount alerting, and marketplace activity intel.
The Great Luxury Brands: Hermes, Dior, Chanel and more
From the great Maison of the luxury conglomerates LVMH, Richemont and Kering, to independent brands, the listing of Data Boutique includes, as of today:
More brands are added constantly, so stay in the loop and check on the website.
Multibrand luxury retailers: Net-a-Porter, MyTheresa and more
Multibrand retailers in fashion and luxury are in high demand on Data Boutique. They allow brands to monitor their distribution partners, especially regarding prices, discounts, and competition. And fashion retailers as well use other retailers’ data to ensure they are not missing out on new brands or are late in the promotion race.
Live dataset, stuff you can get right now (or relatively soon), include:
Also in this category, the list is growing quickly. Stay tuned.
Join the Project
That was it for this week!
Data Boutique is a community for sustainable, ethical, high-quality web data exchanges. You can browse the current catalog and add your request if a website is not listed. Saving datasets to your interest list will allow sellers to correctly size the demand for datasets and onboard the platform.
More on this project can be found on our Discord channels.
Thanks for reading and sharing this.