{"id":39656,"date":"2026-03-15T09:27:33","date_gmt":"2026-03-15T08:27:33","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/extracting-structured-datasets-from-public-record-websites\/"},"modified":"2026-03-15T09:27:33","modified_gmt":"2026-03-15T08:27:33","slug":"extracting-structured-datasets-from-public-record-websites","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/extracting-structured-datasets-from-public-record-websites\/","title":{"rendered":"Extracting Structured Datasets From Public-record Websites"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>A lot of public-record sites contain useful people data (phones, address history, relatives), but the data is locked inside messy HTML pages.<\/p>\n<p>I experimented with building a pipeline that extracts those pages and converts them into structured fields automatically.<\/p>\n<p>The interesting part wasn\u2019t scraping \u2014 it was normalizing inconsistent formats across records.<\/p>\n<p>Curious if anyone else here builds pipelines for turning messy web sources into structured datasets.<\/p>\n<p><a href=\"https:\/\/bgcheck.vercel.app\/\">https:\/\/bgcheck.vercel.app\/<\/a><\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Aggressive_Cut7433\"> \/u\/Aggressive_Cut7433 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1ru8819\/extracting_structured_datasets_from_publicrecord\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1ru8819\/extracting_structured_datasets_from_publicrecord\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-39656 jlk' href='javascript:void(0)' data-task='like' data-post_id='39656' data-nonce='72e055e984' 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-39656 lc'>0<\/span><\/a><\/div><\/div> <div class='status-39656 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>A lot of public-record sites contain useful people data (phones, address history, relatives), but the data is&#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-39656","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\/39656","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=39656"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/39656\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=39656"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=39656"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=39656"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}