webscraping.pro
Web scraping Data platform import.io, announced last week that they have secured $3M in funding from investors that include the founders of Yahoo! and MySQL.
They also released a new beta version of the tool that is essentially a better version of their extraction tool, with some new features and a much cleaner and faster user experience.
ProxyMesh is another rotating anonymous proxy server service that lets users stay anonymous with the help of a network of continuously rotated IP proxy servers. This service requires no software to be downloaded but it can be easily used in conjunction with Visual Web Ripper software.
Recently, import.io (a free scraping online tool) announced that they are adding another way to get data from the web: they’ll build it for you. This new “Data as a Service” program is targeted at businesses and organizations who need data, but don’t have the time or resources to devote to using the import.io tool to build it themselves. For these clients, import will curate custom datasets based on their specific requirements as well as develop custom data implementation solutions based on the organization’s in-house software.
Recently I decided to outsource a web scraping project to another company. I typed “web scraping service” in Google, chose six services from the first two search result pages and sent the project specifications to all of them to get quotes. Eventually I decided to go another way and did not order the services, but my experience may be useful for others who want to entrust web scraping jobs to third party services.
Recently I was asked to look at a brand- new online regex tester, regviz.org, developed as a collaboration of VISUS, University of Stuttgart and University of Trier. Though there are a lot of regex online testers on the market today, and many of them are quite good, let’s look at what is special about regviz.org and what it lacks.
For over four decades now, Relational Database Management Systems (RDMS) have dominated the enterprise market. However, the trend seems to change with the introduction of NoSQL databases. In this article, we are going to highlight practical examples where NoSQL systems have been deployed. We will also go further and point out other applications where implementation of such systems might be necessary.
I have already written several articles on how to use WebDriver for web scraping, but I have never touched on the topic of changing WebDriver’s IP address. Nevertheless, this topic is quite crucial when you come to web scraping, and here I’d like to show you an example of using proxies with WebDriver in Python (and you can easily convert it into your language API).
Apache Cassandra is a data management system designed and developed to handle huge amounts of data across multiple servers. It is open source, meaning its source code is freely available for anyone to study, modify and use.
MongoDB, an open-source document database written in C++, is classified as a NoSQL database. Because it avoids the traditional table-based relational database structure in favor of JSON-like documents with dynamic schemas (MongoDB calls the format BSON), it facilitates quick-and-easy data integration in various applications.
The term “database” was long synonymous with SQL, and for a while there seemed to be no viable alternative. Recently, however, the realm of data storage has welcomed a new option: NoSQL. This article offers you a brief overview of what NoSQL is and when it may be applied.