Browserflow vs. Hexomatic vs. parsel vs. python-sql Comparison Chart

Save time by automating repetitive tasks in minutes. Run in your browser or in the cloud. Extract data from any source, from simple HTML tables to complex single-page applications. Automatically perform actions on websites as if you were doing them. Except 10x faster with no mistakes. Collect data and populate your spreadsheets. You can even keep your sheets automatically updated by scheduling flows in the cloud. Create backups of the data you care about and generate screenshots and PDFs for any web page. Build powerful automation using an extensive library of built-in commands. Unleash Browserflow in your own browser to automate local workflows and avoid bot detection. Deploy flows to the cloud to automate even when you're asleep or on vacation. Read and write to Google Sheets to easily access and update your data. Run your flows automatically, from every minute to every month. Reuse flows built by the community and share flows you've made yourself.

Parsel is a BSD-licensed Python library to extract and remove data from HTML and XML using XPath and CSS selectors, optionally combined with regular expressions. Create a selector object for the HTML or XML text that you want to parse. Then use CSS or XPath expressions to select elements. CSS is a language for applying styles to HTML documents. It defines selectors to associate those styles with specific HTML elements. XPath is a language for selecting nodes in XML documents, which can also be used with HTML. You can use either CSS or XPath. CSS is usually more readable, but some things can only be done with XPath. Being built atop lxml, parsel selectors support some EXSLT extensions and come with pre-registered namespaces to use in XPath expressions. Parsel selectors allow you to chain selectors, so most of the time you can just select by class using CSS and then switch to XPath when needed.