Boohoo Product Data Scraping – Extract Online Fashion Shop Data
Use our Boohoo product data scraping API extracts product names, pricing, discounts, reviews, sizes, image everything to power your fashion catalog automation, competitor tracking, and market research with accurate, structured Boohoo data.
About Boohoo
Boohoo is a UK-based online fashion retailer founded in 2006. The only vision of Boohoo is to lead the fashion market in the world and deliver for its customers and stakeholders.
Their goal is to maintain an outstanding consumer offer that includes the most up-to-date fashion at reasonable costs, as well as good customer service. To that end, as they strive to build for the future and further cement our position as a worldwide leader in fashion e-commerce, they plan to make continual investments in our systems, infrastructure, and technology to ensure an excellent online shopping experience.
Boohoo Product Data Scraping
For the Boohoo website, they can physically save photos in JPEG format in a WebP file. Several file types are not allowed to be added to a shopping cart. 3i Data Scraping will easily convert WebP images to JPG files if you report a problem. These photos will be downloaded easily.
Keep a close eye on the prices and reviews if you want to offer new products to your store. As a result, consumers should be able to subscribe to services on a monthly or annual basis, as well as retrieve data at a set time.
Do you want to scrape data from Boohoo or other online e-commerce stores? Data can also be scraped from Boohoo.com, Hygoshop.com, Trendyol.com, Shopware.com, and other websites. They maintain a close eye on the criteria on a regular basis. You choose how often you want to be updated (daily, weekly, or monthly), and we’ll send you the most up-to-date information via the Internet or email.
Data Fields Extracted by Boohoo Scraper
At 3i Data Scraping, we extract data fields using our Boohoo scraping services. It becomes easy to enhance customer satisfaction and create a competitive edge in the market. The examples of data fields are:
- Product Names & Descriptions
- Prices
- Reviews & Ratings
- Stock Availability
- Categories
- Tags & Images
- Seller Information
- Brand & SKU
- Color & Size
- Weight & Dimensions
- Shipping Options
- Delivery Times
- Discounts & Promotional Offers
- Warranty Information
- Return Policies
- Best Sellers Rank
- Product Variations
- Related Products
- Manufacturer Details
- And Many More...
