How do you save / archive web pages for references in notes?

This page summarizes the projects mentioned and recommended in the original post on /r/orgmode

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  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
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  • org-web-tools

    View, capture, and archive Web pages in Org-mode

    You can use https://github.com/alphapapa/org-web-tools it can save a web pages as an org files and has some extra cool functionality.

  • zotxt-emacs

    I use zotero to capture web pages and org-zotxt-mode from zotxt-emacs to reference from within org-mode.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • zotero

    Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.

    I use zotero to capture web pages and org-zotxt-mode from zotxt-emacs to reference from within org-mode.

  • SingleFileZ

    Web Extension to save a faithful copy of an entire web page in a self-extracting ZIP file

    I'm using SingleFileZ which stores my whole web traffic into single-HTML files (one per page including images and such). They are stored in files like 2021-12-14T14.20.34 hostname - karl-voit.at - What App am I Using for What and How.html which I can link to my Org-mode via my-webarchive-tsfile () from my configuration.

  • dot-emacs

    My GNU/Emacs configuration (by novoid)

    I'm using SingleFileZ which stores my whole web traffic into single-HTML files (one per page including images and such). They are stored in files like 2021-12-14T14.20.34 hostname - karl-voit.at - What App am I Using for What and How.html which I can link to my Org-mode via my-webarchive-tsfile () from my configuration.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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