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Zyte API - Ban Handling
Zyte API - Automatic Extraction
What data categories are typically extracted when scraping products?
Standardized and pre-defined product data feed to reduce the price and setup time, and provide additional Quality Assurance out of the box.
Price / Currency
Discover the best approach to obtain product data
Don't reinvent the wheel
Our platform likely cover your target e-commerce and retail websites, providing the required data in a standardized schema. This not only streamlines your workflow but also saves you valuable time and resources.
Use our web scraping API
The ultimate web scraping API, designed to automatically avoid bans in the most cost-effective way possible saving you time and money at every stage of your project.
Product data comes in all shapes and sizes. We get it all.
Websites that sell products directly to consumers, such as supermarkets, grocers, factory outlets, and specialist stores.
Highly dynamic and valuable data scraping sources.
These marketplace websites generally cover an extremely broad and deep range of products often supplied by 3rd parties.
Industrial and machine parts catalog
Websites that provide information about industrial and mechanical parts.
Food and restaurant directories
Data collection from websites that provide information about restaurants, menus, and food delivery services.
Real estate and property
Websites that provide information about properties for sale or rent past and present.
Extract information from B2C online retailers that operate exclusively through their websites, without physical stores.
Pay-per-view and streaming websites
Get pricing and other related data from websites offering digital entertainment products such as music and video streams/downloads.
Manufacturer's product information portals
Manufacturer’s product catalogs and product information websites with specs and supporting information.
Product review websites
Data collection from websites that contain reviews which can be useful for product and feature analysis.
Data extraction from multiple pages provides information about upcoming events, conferences, and trade shows in a particular industry or location.
Web 3 and digital asset marketplaces
Scrape data from platforms that allow users to buy, sell and trade various digital assets such as cryptocurrencies, non-fungible tokens (NFTs), and other digital tokens.
Social media and user-generated content websites
Social media Forums and discussion boards are popular sources of data extraction for content and product reviews.
With over 12 years of global leadership, Zyte has cultivated expertise, refined processes, and advanced technology to ensure unparalleled success for our e-commerce clients.
Collaborate with our dedicated customer success managers, who work closely with your team to provide best-in-class advice and deliver exceptional web scraping results. Our commitment to quality and performance is reinforced by 24/7 monitoring and support, ensuring a seamless experience.
How will you use product data from e-commerce websites?
Price comparison, enforcement, and monitoring
Use e-commerce product scraper to aggregate and compare prices of products across different retailers and marketplaces to help inform your pricing strategy and manage resellers.
Product scrapers are great to analyze trends and monitoring competition, for data-driven business decision-making.
Optimize product pages for search engines, by using web scrapers to identify the most commonly used keywords and incorporating them into the content.
Product reviews and comments data extraction using web scraping tools and services can give insights into customer preferences to help improve products or identify gaps in the market for products that better meet consumer needs.
Building models with AI
As AI and machine learning become more prevalent, scraped product data is being used to train algorithms to recognize patterns and make predictions about consumer behavior and market trends.
Scrape data for monitoring news and reviews can help identify areas of improvement and allow businesses to respond to market feedback in a timely manner.
Monitor classifieds ads and scraped data from used product marketplaces to better understand descriptions, photography, and resale value.
Use web scrapers to optimize pricing strategy by analyzing competitors' prices and adjusting accordingly to maximize profits.
More ways to use product data:
Enrich product catalogs
Supply chain optimization
Ticket price monitoring
Keep up-to-date with trends in web data extraction
Do you have the right data fields for your e-commerce data project?
Price Edge - Fuelling AI-powered e-commerce marketing engine with Zyte Smart Proxy Manager
How to build your own price monitoring tool
Frequently asked questions
Is Zyte the same as Scrapinghub?
Different name. Same company. And with the same passion to deliver the world’s best data extraction service to our customers. We’ve changed our name to show that we’re about more than just web scraping tool. In a changing world Zyte is right at the cutting edge of delivering powerful, easy to use solutions that help our customers stay ahead in today’s fast-moving, data-driven world.
How will I receive my data, and in what format?
We offer many delivery types including FTP, SFTP, AWS S3, Google Cloud storage, email, Dropbox and Google Drive. Formats for delivery can be CSV, JSON, JSONLines or XML. We’ll work with you to determine what’s best for your project. And we’re always pleased to discuss other custom delivery or format requirements should you need them.
How do you ensure quality of the data?
We specialize in data extraction solutions for projects with mission critical business requirements. And that means our top priority is always delivering high quality accurate data to our clients. To achieve this we’ve implemented a four-layer Data Quality Assurance process that continuously monitors the health of our crawls and the quality of the extracted data. This reviews all your data to identify inconsistencies, inaccuracies or other abnormalities including manual, semi-automated and automated testing.
What support do you offer?
We offer all our customers no-cost support on coverage issues, missed deliveries and minor site changes. If there’s a larger website data extraction change that requires a complete spider overhaul this may incur an additional cost.
Can I try Zyte before buying?
Yes, if we have sample data available for the source you want to be scraped. If it’s a new source we haven’t crawled before we will share sample data with you following development kick-off. This occurs post purchasing. For product or news & article data, you can free trial our Automatic Extraction product via an easy-to-use user interface.
Talk to us about your requirements
How can Zyte help me extract website content?
Zyte’s Data Extraction services is an end-to-end solution that can help you with web content extraction. It’s the most hassle-free way to get clean structured data; quickly and accurately. But if you’re looking for a DIY option, Zyte offers web data extraction tools to make your job easier.
What is meant by data extraction?
Data extraction is described as the automated process of obtaining information from a source like a web page, document, file or image. This extracted information is typically stored and structured to allow further processing and analysis.
Extracting data from Internet websites - or a single web page - is often referred to as web scraping. This can be performed manually by a person cutting and pasting content from individual web pages. This is likely to be time-consuming and error-prone for all but the smallest projects.
Hence, data extracting is typically performed by some kind of data extractor - a software application that automatically fetches and extracts data from a web page (or a set of pages) and delivers this information in a neatly formatted structure. This is most likely a spreadsheet or some kind of machine-readable data exchange format such as JSON or XML. This extracted data can then be used for other purposes, either displayed to humans via some kind of user interface or processed by another program.
Why is data extraction important?
There’s a vast amount of information out there on the Internet. Extracting and aggregating data from public-domain websites and other digital sources - also known as web data scraping - can give you a significant business edge over your competitors.
Data extracting generates insights that can help companies analyze the performance of a particular product in the marketplace, track customer sentiments expressed in online reviews, monitor the health of your brand, generate leads, or compare price information across different marketplaces.
It also gives researchers a powerful tool to study the performance of financial markets and individual companies, guide investment decisions and shape new products.
There are many non-financial uses for data extraction, such as scraping news websites to monitor the quality and accuracy of stories or to monitor trends in reporting. It’s also used to obtain information from public institutions, for example, to track contract awards and hence investigate possible corruption.
Data extraction can significantly streamline the process of getting accurate information from other websites that your own organization needs to survive and thrive.
What is a data extraction example?
There’s a vast range of applications and use cases for website data scraping. One popular example where data extraction is widely used comes from the world of retail and e-commerce. It’s an invaluable tool for competitor price monitoring, allowing companies – and market researchers – to monitor the pricing of rivals’ products and services. Manually tracking competitors’ prices that may change on a daily basis isn’t practical - especially if you’re monitoring the pricing of hundreds or thousands of different products. A data scraping tool automates this process, scraping pricing data from e-marketplaces and competitors’ websites quickly and reliably.