{"id":2316,"date":"2026-01-24T20:00:00","date_gmt":"2026-01-24T20:00:00","guid":{"rendered":"https:\/\/technovora.com\/?p=2316"},"modified":"2026-01-21T11:06:27","modified_gmt":"2026-01-21T11:06:27","slug":"beyond-google-analytics-how-to-use-log-file-analysis-to-find-hidden-seo-opportunities","status":"publish","type":"post","link":"https:\/\/technovora.com\/?p=2316","title":{"rendered":"Beyond Google Analytics: How to Use Log File Analysis to Find Hidden SEO Opportunities"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-1024x576.jpg\" alt=\"\" class=\"wp-image-2317\" srcset=\"https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-1024x576.jpg 1024w, https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-scaled-600x338.jpg 600w, https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-300x169.jpg 300w, https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-768x432.jpg 768w, https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-1536x864.jpg 1536w, https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-2048x1152.jpg 2048w, https:\/\/technovora.com\/wp-content\/uploads\/2026\/01\/08-1320x743.jpg 1320w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Introduction: Why Most SEO Data Is Incomplete<\/strong><\/h2>\n\n\n\n<p>Most businesses rely heavily on tools like Google Analytics and Search Console to understand SEO performance. While these platforms are useful, they only show <strong>what users do after pages load<\/strong>, not how search engines interact with your website behind the scenes.<\/p>\n\n\n\n<p>This creates a blind spot.<\/p>\n\n\n\n<p>Search engines behave differently from users. They crawl pages, request resources, encounter errors, and waste crawl budget in ways traditional analytics tools cannot fully reveal. This is where <strong>log file analysis<\/strong> becomes one of the most powerful\u2014and underused\u2014SEO techniques.<\/p>\n\n\n\n<p>For tech companies and large websites, log file analysis unlocks insights that directly impact crawl efficiency, indexation, and rankings.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is Log File Analysis in SEO?<\/strong><\/h2>\n\n\n\n<p>A <strong>server log file<\/strong> is a record of every request made to your website\u2019s server. This includes requests from users, browsers, bots, and search engine crawlers like Googlebot and Bingbot.<\/p>\n\n\n\n<p>Log file analysis for SEO involves examining these server logs to understand:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Which pages search engines crawl<br><\/li>\n\n\n\n<li>How often they crawl them<br><\/li>\n\n\n\n<li>What errors they encounter<br><\/li>\n\n\n\n<li>How crawl budget is being used or wasted<br><\/li>\n<\/ul>\n\n\n\n<p>Unlike third-party tools, log files show <strong>exactly what search engines do<\/strong>, not what they report.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Log File Analysis Matters for Modern SEO<\/strong><\/h2>\n\n\n\n<p>As websites grow larger and more complex, crawl efficiency becomes critical. Search engines have limited resources allocated to each site, known as <strong>crawl budget<\/strong>.<\/p>\n\n\n\n<p>If your crawl budget is wasted on low-value pages, duplicates, or broken URLs, important pages may not be crawled or indexed frequently enough. This directly limits your SEO performance, regardless of how good your content is.<\/p>\n\n\n\n<p>Log file analysis helps you identify and fix these hidden inefficiencies.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Log Files vs Google Analytics: What\u2019s the Difference?<\/strong><\/h2>\n\n\n\n<p>Google Analytics tracks <strong>user behavior<\/strong>, such as page views, sessions, and conversions. It does not show how search engine bots interact with your site infrastructure.<\/p>\n\n\n\n<p>Log files, on the other hand, track:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bot activity<br><\/li>\n\n\n\n<li>Server response codes<br><\/li>\n\n\n\n<li>Crawl frequency<br><\/li>\n\n\n\n<li>Resource requests (HTML, JS, CSS, images)<br><\/li>\n<\/ul>\n\n\n\n<p>This makes log file analysis essential for <strong>technical SEO, large websites, and JavaScript-heavy applications<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What SEO Insights Can Log File Analysis Reveal?<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Crawl Budget Waste<\/strong><\/h3>\n\n\n\n<p>One of the biggest benefits of log analysis is identifying crawl budget waste.<\/p>\n\n\n\n<p>Search engines may be crawling:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Parameter-based URLs<br><\/li>\n\n\n\n<li>Filter pages<br><\/li>\n\n\n\n<li>Old redirects<br><\/li>\n\n\n\n<li>Low-value or thin pages<br><\/li>\n<\/ul>\n\n\n\n<p>These URLs consume crawl budget without contributing to rankings. Log data shows exactly where crawlers spend their time so you can block, consolidate, or optimize those pages.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Pages Googlebot Crawls vs Pages That Matter<\/strong><\/h3>\n\n\n\n<p>Not all crawled pages are important.<\/p>\n\n\n\n<p>Log analysis reveals whether Googlebot is prioritizing:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Revenue-driving pages<br><\/li>\n\n\n\n<li>Key landing pages<br><\/li>\n\n\n\n<li>Fresh content<br><\/li>\n<\/ul>\n\n\n\n<p>If critical pages are crawled infrequently while unimportant pages are crawled repeatedly, your site architecture needs improvement.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Discovering Orphan Pages<\/strong><\/h3>\n\n\n\n<p>Orphan pages are pages with no internal links pointing to them.<\/p>\n\n\n\n<p>While these pages may exist in your sitemap or CMS, search engines often struggle to discover or prioritize them. Log files show whether crawlers ever visit these URLs.<\/p>\n\n\n\n<p>This insight allows you to reintegrate orphan pages into your internal linking structure or remove them entirely.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Identifying Indexing and Crawl Errors<\/strong><\/h3>\n\n\n\n<p>Log files record server response codes for every request.<\/p>\n\n\n\n<p>This helps uncover:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>404 and 500 errors<br><\/li>\n\n\n\n<li>Redirect chains<br><\/li>\n\n\n\n<li>Soft 404s<br><\/li>\n\n\n\n<li>Timeout issues<br><\/li>\n<\/ul>\n\n\n\n<p>Persistent errors can damage crawl efficiency and trust signals. Fixing them improves overall site health.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. JavaScript and Resource Crawl Issues<\/strong><\/h3>\n\n\n\n<p>Modern websites rely heavily on JavaScript, CSS, and APIs.<\/p>\n\n\n\n<p>Log file analysis reveals whether:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Googlebot successfully loads JS resources<br><\/li>\n\n\n\n<li>Critical files return errors<br><\/li>\n\n\n\n<li>Rendering resources are blocked<br><\/li>\n<\/ul>\n\n\n\n<p>For JavaScript-heavy websites, this insight is essential for diagnosing SEO rendering problems.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Log File Analysis Helps Large and Tech Websites<\/strong><\/h2>\n\n\n\n<p>Log file analysis is especially valuable for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enterprise websites<br><\/li>\n\n\n\n<li>E-commerce platforms<br><\/li>\n\n\n\n<li>SaaS applications<br><\/li>\n\n\n\n<li>News and content-heavy sites<br><\/li>\n<\/ul>\n\n\n\n<p>These websites often generate thousands of URLs, many of which do not deserve crawl attention. Without log analysis, crawl inefficiencies go unnoticed and compound over time.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step-by-Step: How Log File Analysis Works<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Collect Server Log Files<\/strong><\/h3>\n\n\n\n<p>Log files are generated by your web server (Apache, Nginx, Cloudflare, etc.).<\/p>\n\n\n\n<p>They typically include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>IP address<br><\/li>\n\n\n\n<li>Request URL<br><\/li>\n\n\n\n<li>Timestamp<br><\/li>\n\n\n\n<li>User agent<br><\/li>\n\n\n\n<li>Status code<br><\/li>\n<\/ul>\n\n\n\n<p>SEO teams usually analyze logs covering 30\u201390 days for meaningful patterns.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Identify Search Engine Bots<\/strong><\/h3>\n\n\n\n<p>Not all traffic in log files is relevant.<\/p>\n\n\n\n<p>The first step is filtering requests from:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Googlebot<br><\/li>\n\n\n\n<li>Googlebot Smartphone<br><\/li>\n\n\n\n<li>Bingbot<br><\/li>\n\n\n\n<li>Other major crawlers<br><\/li>\n<\/ul>\n\n\n\n<p>This isolates search engine behavior from user traffic.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Analyze Crawl Frequency and Patterns<\/strong><\/h3>\n\n\n\n<p>Next, analyze:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Most crawled URLs<br><\/li>\n\n\n\n<li>Least crawled URLs<br><\/li>\n\n\n\n<li>Crawl frequency by page type<br><\/li>\n\n\n\n<li>Crawl trends over time<br><\/li>\n<\/ul>\n\n\n\n<p>This reveals how search engines prioritize your site.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Match Crawl Data with SEO Value<\/strong><\/h3>\n\n\n\n<p>Compare crawl activity with SEO importance.<\/p>\n\n\n\n<p>Ask:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Are high-value pages crawled often?<br><\/li>\n\n\n\n<li>Are low-value pages consuming crawl budget?<br><\/li>\n\n\n\n<li>Are new pages discovered quickly?<br><\/li>\n<\/ul>\n\n\n\n<p>Misalignment here signals technical SEO issues.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Take Action Based on Insights<\/strong><\/h3>\n\n\n\n<p>Log file analysis is only valuable if it leads to action.<\/p>\n\n\n\n<p>Common fixes include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Blocking URLs via robots.txt<br><\/li>\n\n\n\n<li>Improving internal linking<br><\/li>\n\n\n\n<li>Fixing redirects and errors<br><\/li>\n\n\n\n<li>Optimizing sitemaps<br><\/li>\n\n\n\n<li>Adjusting rendering strategies<br><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Common Log File SEO Issues Businesses Miss<\/strong><\/h2>\n\n\n\n<p>Many websites unknowingly suffer from:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Infinite crawl loops<br><\/li>\n\n\n\n<li>Parameter explosion<br><\/li>\n\n\n\n<li>JavaScript-rendering failures<br><\/li>\n\n\n\n<li>Slow server response for bots<br><\/li>\n\n\n\n<li>Mobile vs desktop crawl mismatches<br><\/li>\n<\/ul>\n\n\n\n<p>These issues rarely appear in standard SEO audits\u2014but log files expose them immediately.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Tools Used for Log File Analysis<\/strong><\/h2>\n\n\n\n<p>Popular tools include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Screaming Frog Log File Analyzer<br><\/li>\n\n\n\n<li>Splunk<br><\/li>\n\n\n\n<li>ELK Stack<br><\/li>\n\n\n\n<li>Custom Python scripts<br><\/li>\n<\/ul>\n\n\n\n<p>However, tools alone are not enough. Interpreting log data requires <strong>technical SEO expertise<\/strong> and a strong understanding of how search engines work.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>When Should You Invest in Log File Analysis?<\/strong><\/h2>\n\n\n\n<p>You should consider log file analysis if:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Your site has thousands of pages<br><\/li>\n\n\n\n<li>Indexing is slow or inconsistent<br><\/li>\n\n\n\n<li>Rankings stagnate despite good content<br><\/li>\n\n\n\n<li>Crawl budget warnings appear in Search Console<br><\/li>\n\n\n\n<li>Your site relies heavily on JavaScript<br><\/li>\n<\/ul>\n\n\n\n<p>For many tech companies, log analysis is the missing piece in their SEO strategy.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Log File Analysis as a Competitive Advantage<\/strong><\/h2>\n\n\n\n<p>Most competitors never look at server logs. This creates a powerful opportunity.<\/p>\n\n\n\n<p>By optimizing crawl efficiency, you allow search engines to focus on your best pages. This often leads to faster indexing, stronger rankings, and better performance\u2014without creating new content.<\/p>\n\n\n\n<p>Few SEO techniques deliver such high impact with relatively low ongoing effort.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Final Thoughts: See SEO Through Googlebot\u2019s Eyes<\/strong><\/h2>\n\n\n\n<p>Log file analysis removes guesswork from technical SEO. It shows you exactly how search engines experience your website\u2014not how you assume they do.<\/p>\n\n\n\n<p>For tech-driven businesses, this insight is invaluable. When you understand crawl behavior, you can make smarter decisions, fix hidden issues, and unlock SEO growth that competitors miss.<\/p>\n\n\n\n<p>If you want to go beyond surface-level SEO, log file analysis is where real optimization begins.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction: Why Most SEO Data Is Incomplete Most businesses rely heavily on tools like Google Analytics and Search Console to understand SEO performance. While these platforms are useful, they only show what users do after pages load, not how search engines interact with your website behind the scenes. This creates a blind spot. Search engines behave differently from users. They crawl pages, request resources, encounter errors, and waste crawl budget in ways traditional analytics tools cannot fully reveal. This is where log file analysis becomes one of the most powerful\u2014and underused\u2014SEO techniques. For tech companies and large websites, log file analysis unlocks insights that directly impact crawl efficiency, indexation, and rankings. What Is Log File Analysis in SEO? A server log file is a record of every request made to your website\u2019s server. This includes requests from users, browsers, bots, and search engine crawlers like Googlebot and Bingbot. Log file analysis for SEO involves examining these server logs to understand: Unlike third-party tools, log files show exactly what search engines do, not what they report. Why Log File Analysis Matters for Modern SEO As websites grow larger and more complex, crawl efficiency becomes critical. Search engines have limited resources allocated to each site, known as crawl budget. If your crawl budget is wasted on low-value pages, duplicates, or broken URLs, important pages may not be crawled or indexed frequently enough. This directly limits your SEO performance, regardless of how good your content is. Log file analysis helps you identify and fix these hidden inefficiencies. Log Files vs Google Analytics: What\u2019s the Difference? Google Analytics tracks user behavior, such as page views, sessions, and conversions. It does not show how search engine bots interact with your site infrastructure. Log files, on the other hand, track: This makes log file analysis essential for technical SEO, large websites, and JavaScript-heavy applications. What SEO Insights Can Log File Analysis Reveal? 1. Crawl Budget Waste One of the biggest benefits of log analysis is identifying crawl budget waste. Search engines may be crawling: These URLs consume crawl budget without contributing to rankings. Log data shows exactly where crawlers spend their time so you can block, consolidate, or optimize those pages. 2. Pages Googlebot Crawls vs Pages That Matter Not all crawled pages are important. Log analysis reveals whether Googlebot is prioritizing: If critical pages are crawled infrequently while unimportant pages are crawled repeatedly, your site architecture needs improvement. 3. Discovering Orphan Pages Orphan pages are pages with no internal links pointing to them. While these pages may exist in your sitemap or CMS, search engines often struggle to discover or prioritize them. Log files show whether crawlers ever visit these URLs. This insight allows you to reintegrate orphan pages into your internal linking structure or remove them entirely. 4. Identifying Indexing and Crawl Errors Log files record server response codes for every request. This helps uncover: Persistent errors can damage crawl efficiency and trust signals. Fixing them improves overall site health. 5. JavaScript and Resource Crawl Issues Modern websites rely heavily on JavaScript, CSS, and APIs. Log file analysis reveals whether: For JavaScript-heavy websites, this insight is essential for diagnosing SEO rendering problems. How Log File Analysis Helps Large and Tech Websites Log file analysis is especially valuable for: These websites often generate thousands of URLs, many of which do not deserve crawl attention. Without log analysis, crawl inefficiencies go unnoticed and compound over time. Step-by-Step: How Log File Analysis Works Step 1: Collect Server Log Files Log files are generated by your web server (Apache, Nginx, Cloudflare, etc.). They typically include: SEO teams usually analyze logs covering 30\u201390 days for meaningful patterns. Step 2: Identify Search Engine Bots Not all traffic in log files is relevant. The first step is filtering requests from: This isolates search engine behavior from user traffic. Step 3: Analyze Crawl Frequency and Patterns Next, analyze: This reveals how search engines prioritize your site. Step 4: Match Crawl Data with SEO Value Compare crawl activity with SEO importance. Ask: Misalignment here signals technical SEO issues. Step 5: Take Action Based on Insights Log file analysis is only valuable if it leads to action. Common fixes include: Common Log File SEO Issues Businesses Miss Many websites unknowingly suffer from: These issues rarely appear in standard SEO audits\u2014but log files expose them immediately. Tools Used for Log File Analysis Popular tools include: However, tools alone are not enough. Interpreting log data requires technical SEO expertise and a strong understanding of how search engines work. When Should You Invest in Log File Analysis? You should consider log file analysis if: For many tech companies, log analysis is the missing piece in their SEO strategy. Log File Analysis as a Competitive Advantage Most competitors never look at server logs. This creates a powerful opportunity. By optimizing crawl efficiency, you allow search engines to focus on your best pages. This often leads to faster indexing, stronger rankings, and better performance\u2014without creating new content. Few SEO techniques deliver such high impact with relatively low ongoing effort. Final Thoughts: See SEO Through Googlebot\u2019s Eyes Log file analysis removes guesswork from technical SEO. It shows you exactly how search engines experience your website\u2014not how you assume they do. For tech-driven businesses, this insight is invaluable. When you understand crawl behavior, you can make smarter decisions, fix hidden issues, and unlock SEO growth that competitors miss. If you want to go beyond surface-level SEO, log file analysis is where real optimization begins.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[64,1],"tags":[9,27,11,12,13,14,15,16,17],"class_list":["post-2316","post","type-post","status-publish","format-standard","hentry","category-seo","category-uncategorized","tag-case-studies","tag-future-of-technology","tag-industry-trends","tag-machine-learning","tag-open-source-software","tag-programming-languages","tag-project-management","tag-software-development","tag-software-maintenance"],"aioseo_notices":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/technovora.com\/index.php?rest_route=\/wp\/v2\/posts\/2316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technovora.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technovora.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technovora.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/technovora.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2316"}],"version-history":[{"count":1,"href":"https:\/\/technovora.com\/index.php?rest_route=\/wp\/v2\/posts\/2316\/revisions"}],"predecessor-version":[{"id":2318,"href":"https:\/\/technovora.com\/index.php?rest_route=\/wp\/v2\/posts\/2316\/revisions\/2318"}],"wp:attachment":[{"href":"https:\/\/technovora.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technovora.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technovora.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}