![]() But it’s easy to make errors, and it’s going to be fiddly, repetitive, and time-consuming for whoever’s been tasked with the job. There’s nothing to stop you from collecting data from any website manually by cutting and pasting the relevant bits you need from other websites. So you know your business needs to extract data from the web. ![]() The best way to access high-quality and timely web data is to work with a web data partner like Zyte. Whether you’re a developer or a marketing manager, getting your hands on reliable, timely web data might seem like searching for a needle in a huge, ever-changing digital haystack. Unlike a static library, however, many of those pages present a moving target when details like product pricing can change regularly. This is where knowing how to extract data comes into play. There are billions of web pages out there. Think of it as the world’s biggest and fastest-growing research library. The web holds answers to all these questions and countless more. What is so important about data?ĭata, in short, is the differentiating factor for companies when it comes to understanding customers, knowing what competitors are up to – or making just about any kind of commercial decisions based on hard facts rather than intuition. We’ve blogged recently about the value of web data in this space, and how Zyte can help deliver standards-compliant custom data feeds that complement traditional research methodologies. Read our blog that explains how public web data can provide financial services providers with a precise, insightful alternative dataset.Īlso in the financial sector, hedge fund managers are turning to alternative data – beyond the scope of conventional sources like company reports and bulletins – to help inform their investment decisions. These sources range from debit card transactions and utility payments to survey responses, social media posts on a particular topic, and product reviews. There are billions of ‘credit invisibles’ around the world, in both developing and mature markets.Īlthough these individuals don’t possess a standard credit history, there’s a huge range of ‘alternative data’ sources out there, helping lenders assess risk and potentially take these individuals on as clients. Or you might be gleaning information about a particular industry or market sector to guide critical investment decisions.Ī concrete example where being able to extract data from the web increasingly valuable role in the financial services industry is insurance underwriting and credit scoring. You could be monitoring customer sentiment by trawling for name-checks for your brand – favorable or otherwise – in news articles and blogs. You might want to compare the pricing of competitors’ products across popular e-commerce sites. There are multiple reasons you may want to extract data from the web. Up-to-date, trustworthy data from other websites is the rocket fuel that can power every organization’s successful growth, including your own. But how to extract data from a website? And what’s this thing called ‘web scraping’? Why would you want to extract data from a webpage? It’s not surprising that web data makes the difference for companies to innovate and get ahead of their competitors. We create, consume, and interact with it while we’re working, shopping, traveling, and relaxing. It's a 21st-century truism that web data touches virtually every aspect of our daily lives. Custom proxy and anti-ban solutions tailored for success at scale.Here goes a section description, two lines copy would work hosting for your Scrapy Spiders.Scalable cloud hosting for your Scrapy Spiders.AI powered extraction of data from html in the format you need.Never get blocked again with Zyte proxies and smart browser tech all rolled into one powerful, lean, and ultra-reliable API.Real estate data and property listings data from major listings portals and specialist websites.Social media data from specialist forums and the biggest social media platforms online.Job postings and listings data from the biggest jobs boards and recruitment websites.Search engine results page (SERP) data at scale from the biggest search engines online. ![]()
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