The Internet is full of lists. If you think about most of the websites you visit regularly, you'll realize that they are made up of lists. Blogs, retail stores, travel sites, directories, etc. They all contain lists of data in one form or another. That is precisely why Mozenda uses
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Imagine that the data you need to complete your report is buried inside a PDF and there is no other place on the website to get the information. Without this information, the rest of the report will be of little worth. What now? If you're using Mozenda, you're in luck. Mozenda can extract data
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https://youtu.be/4_LGTgJNln0 In our latest release, we added the Capture Table action, which makes capturing data from tables easier and more accurate than ever, especially when capturing data from dynamic tables or tables with complicated layouts. In this walk through, we'll introduce you to this new action and share with you
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Successfully capturing all the data in a name-value pair list has traditionally been a time intensive process; it has required manually creating Capture Actions for each data point, and often, it made sense to use the Associate with Nearby Text feature to increase accuracy when the data changed position in
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The Increasingly Complicated Web The Internet has transformed in the past decade. Websites are becoming increasingly sophisticated in their design and complicated by the technologies they use. This increasing complexity presents new challenges for web scraping companies. The technologies many web scraping companies rely on are no longer robust or efficient
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Welcome to a new chapter of Mozenda harvesting technology; we have released the culmination of many months of work, and we are thrilled to put it into the hands of our customers. At first glance, you may not see much of a difference in the appearance of the Agent Builder. But under
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