{"id":1947,"date":"2022-01-31T00:00:00","date_gmt":"2022-01-31T00:00:00","guid":{"rendered":"http:\/\/kocerroxy-homepage.staging.ideatocode.tech\/data-parsing-with-proxies\/"},"modified":"2025-11-20T09:12:44","modified_gmt":"2025-11-20T09:12:44","slug":"data-parsing-with-proxies","status":"publish","type":"post","link":"https:\/\/kocerroxy.com\/blog\/data-parsing-with-proxies\/","title":{"rendered":"Data Parsing with Proxies"},"content":{"rendered":"\n

The data revolution is here. 81% of American retailers<\/a> now use automated price scraping for competitive intelligence and dynamic pricing, compared to just 34% four years ago. If you’re planning to join them by doing your own web scraping with proxies protecting you, the next step is parsing all of that data into usable formats. Better yet, you can do web scraping and data parsing with proxies all in one step.<\/p>\n\n\n\n

The size and budget of your data-based project, combined with your coding capabilities,<\/strong> are deciding factors in what tools you should use. For now, I\u2019ll go over what data parsing is and give a general explanation of the many tools available in a way that less-technology-inclined individuals can appreciate. <\/p>\n\n\n\n

A future article will go more in-depth on the means of building your own parser and utilizing prebuilt ones if you\u2019re looking for some hands-on information. In it, I\u2019ll cover both coding-required and point-and-click with no-coding-required options.<\/p>\n\n\n\n

<\/span>What is Data Parsing?<\/strong><\/span><\/h2>
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