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Find the World's Best Web scraping Freelancers

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At a Glance: Web Scraping

Web scraping is the process of extracting data from information freely available on the web. If you want to automate the process of gathering large volumes of information from multiple webpages and sites, a web scraping professional can help you get started.
Web scrapers can use programming languages like Python, Perl, Ruby, or Java to write scripts capable of extracting images, files, contact details, and other information from the web. They can gather data such as email addresses, phone numbers, and physical addresses, then compile that information into organized lists and tables in CSV, .txt, or Excel formats. Web scraping can be as high-tech as using bots and web crawlers to mimic search engines and as low-tech as good old-fashioned human research with copy-and-paste. Web scraping professionals on Upwork can employ a variety of tools like Uipath, Import.io, or Kimono to extract information from the web and deliver it into your data format of choice.

Web Development

Trends in Cyber Security Threats & How to Prevent Them

There are a number of ways to help protect your data, systems, and customers’ information against security threats. But new types of threats are emerging that can compromise your business. Here’s a quick guide to some trends in IT security and a few ideas to safeguard yourself against them.

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August 29, 2016

Enterprise Solutions

9 Ways Agencies Can Successfully Scale with Freelancers

Agencies need to ramp up and down based on project needs. See how freelancers can help agencies deliver high-quality work for their clients and successfully scale with demand.

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August 24, 2016

Data

Python: A Powerful Language for High-Traffic, Data-Heavy Apps

Python is hugely valuable to companies that need to quickly prototype new products and data-focused companies that need to integrate statistical analysis into their workflows. In this article, we’ll explore what sets Python apart from other programming languages, why it’s popular with data scientists, and what you should look for in a Python engineer.

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August 23, 2016

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