{"id":36802,"date":"2025-11-28T08:27:20","date_gmt":"2025-11-28T07:27:20","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/is-there-a-practical-standard-for-documenting-web-scraped-datasets\/"},"modified":"2025-11-28T08:27:20","modified_gmt":"2025-11-28T07:27:20","slug":"is-there-a-practical-standard-for-documenting-web-scraped-datasets","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/is-there-a-practical-standard-for-documenting-web-scraped-datasets\/","title":{"rendered":"Is There A Practical Standard For Documenting Web-scraped Datasets?"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Every dataset repo has its own README style &#8211; some list sources, others list fields, almost none explain the extraction process. I\u2019m thinking scraped data deserves its own metadata standard: crawl date, frequency, robots.txt compliance, schema history, coverage ratio. But no one seems to agree on how deep to go. How would <em>you<\/em> design a reproducible, lightweight standard for scraped data documentation something between bare minimum CSV and academic paper appendix?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Vivid_Stock5288\"> \/u\/Vivid_Stock5288 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1p8o9q1\/is_there_a_practical_standard_for_documenting\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1p8o9q1\/is_there_a_practical_standard_for_documenting\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-36802 jlk' href='javascript:void(0)' data-task='like' data-post_id='36802' data-nonce='bc39e8310e' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-36802 lc'>0<\/span><\/a><\/div><\/div> <div class='status-36802 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Every dataset repo has its own README style &#8211; some list sources, others list fields, almost none&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-36802","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/36802","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=36802"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/36802\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=36802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=36802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=36802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}