![]() It offers a protected fields which are hidden by default, and stored only in memory unlike other fields.KeeWeb supports file attachments with an easy drag-and-drop which works with the browser and desktop apps.History: KeeWeb history feature is yet another useful feature that allows users to audit all events.Features an easily in-place tags input to organize, filter the entries.KeeWeb comes with a built-in cloud sync to Dropbox, OneDrive, Google Drive, or your own self-hosted cloud as Nextcloud and ownCloud.Search: the user can search easily through all entries and files.Can be installed using Docker easily without the need to dive into a configuration hell.The web version works smoothly with all modern web browsers like Google Chrome, Mozilla Firefox, Opera, and Safari.A user-friendly responsive interface which works seamlessly on all screen sizes.Full offline support, users can run the application without the need to access the internet.The web application is a self-hosted which means you can setup it on your server.KeeWeb is available for Windows, Linux, macOS and as a web application.KeeWeb is fully packed with useful features which makes it favorable by many active internet users.īeyond its desktop support, KeeWeb also works as a web application with full offline support, therefore, users can install it and run it locally or from remote servers.Īntelle also wrote a useful KDBX (KeePass password file manager) implementation in JavaScript and released it as an open-source. It is originally built by Antelle, a full-stack software developer from the Netherlands. Before we begin front-end development we also want to ensure that the web app will be able to handle all features we had planned for the desktop client.KeeWeb is a free, open-source password manager for the desktop and the web. The thing I'm having some trouble with is determining which one is best suited for this project. My previous experience was mostly using Java. Now we are considering building a web application instead. Previously we intended to build a Java desktop client with a JavaFX UI. Our project has a Java back-end that accesses a Neo4j database. Please do not let yourself get confused by those (as we did). This would only be a last resort solution.įor German-speakers, please note that there is a spelling error in the target elements. Our conclusion would be to use regular expressions to extract the href attributes that we need. We hypothesize that the desired elements are impossible to parse by Selenium and BeautifulSoup for whatever reason? Could the iframe tags in the DOM be a source of error (see this SO question)? What makes the parsing fail here, and is there a way to get around this problem? A website-related problem source would also explain why the SelectorGadget was unable to get a path in the first place. Chrome could extract a path, but neither Selenium nor BeautifulSoup can work with those paths.Īfter many failed attempts to extract the elements using different classes and tags, we believe something is entirely wrong with either our approach or the website. We proceeded to use a CSS path using Google Chrome (ctrl+shift+c). Unfortunately, we've noticed that the browser plugin SelectorGadget had trouble providing us with a CSS path. We usually use CSS paths and pass those to Selenium's find_elements_by_css method. We are trying to parse href attributes from the DOM of a job website.
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