{"id":9537,"date":"2026-03-28T01:18:31","date_gmt":"2026-03-28T01:18:31","guid":{"rendered":"https:\/\/www.wizbrand.com\/tutorials\/crawl-stats\/"},"modified":"2026-03-28T01:18:31","modified_gmt":"2026-03-28T01:18:31","slug":"crawl-stats","status":"publish","type":"post","link":"https:\/\/www.wizbrand.com\/tutorials\/crawl-stats\/","title":{"rendered":"Crawl Stats: What It Is, Key Features, Benefits, Use Cases, and How It Fits in SEO"},"content":{"rendered":"\n

Crawl Stats describe the measurable activity of search engine bots as they request, download, and evaluate pages and files on your website. In Organic Marketing<\/strong>, these signals act like a technical \u201cvital sign\u201d: they show whether your content can be discovered efficiently, whether servers respond quickly, and whether bots are spending time on the pages that matter for growth.<\/p>\n\n\n\n

In modern SEO<\/strong>, Crawl Stats are no longer a niche technical report. They help explain real outcomes\u2014why new pages take time to appear in search results, why updates don\u2019t seem to \u201cstick,\u201d or why a site with thousands of pages sees only a fraction of them performing. When you can interpret Crawl Stats correctly, you can turn crawling from a mystery into an operational lever for scalable Organic Marketing.<\/p>\n\n\n\n

1) What Is Crawl Stats?<\/h2>\n\n\n\n

Crawl Stats<\/strong> are aggregated measurements of how search engine crawlers interact with your site over time. They typically include counts of crawl requests, downloaded bytes, response times, and the distribution of response codes (such as successful requests vs errors). In plain terms, they answer: How often are bots visiting, what are they trying to fetch, and how well does your site handle it?<\/em><\/p>\n\n\n\n

The core concept is that search engines must crawl your URLs before they can reliably evaluate and potentially index them. Crawl Stats don\u2019t guarantee rankings, but they strongly influence how quickly search engines can see<\/em> your changes\u2014new pages, updated content, redirects, canonical adjustments, internal linking improvements, and more.<\/p>\n\n\n\n

From a business perspective, Crawl Stats translate technical behavior into marketing impact. If bots can\u2019t reach key pages efficiently\u2014or they waste time on low-value URLs\u2014your SEO<\/strong> efforts can stall even when content quality is high. Within Organic Marketing<\/strong>, Crawl Stats sit at the intersection of content, site architecture, performance engineering, and measurement.<\/p>\n\n\n\n

2) Why Crawl Stats Matters in Organic Marketing<\/h2>\n\n\n\n

Crawl Stats matter because crawling is the entry point to organic visibility. If crawling is constrained or misdirected, your best content may not be discovered promptly, and your updates may not be reflected in search results at the pace your business needs.<\/p>\n\n\n\n

Key strategic reasons Crawl Stats support Organic Marketing<\/strong> outcomes:<\/p>\n\n\n\n

    \n
  • Faster time-to-impact for content<\/strong>: When crawlers can access new and refreshed URLs efficiently, content initiatives show results sooner.<\/li>\n
  • Protection against technical drag<\/strong>: Rising errors, slow response times, or redirect chains can quietly reduce crawler effectiveness and blunt SEO<\/strong> performance.<\/li>\n
  • Better prioritization<\/strong>: Crawl Stats reveal whether bots are focusing on high-value pages (products, categories, evergreen guides) or wasting cycles on parameterized URLs, faceted navigation, or thin pages.<\/li>\n
  • Competitive advantage at scale<\/strong>: Large sites often win by operational excellence. Interpreting Crawl Stats helps you allocate engineering and content resources to the issues that actually limit growth.<\/li>\n<\/ul>\n\n\n\n

    In short, Crawl Stats help you align technical reality with your Organic Marketing strategy\u2014especially when your site grows beyond a few hundred pages.<\/p>\n\n\n\n

    3) How Crawl Stats Works<\/h2>\n\n\n\n

    In practice, Crawl Stats<\/strong> emerge from a continuous loop between search engine bots and your infrastructure:<\/p>\n\n\n\n

      \n
    1. \n

      Input \/ Trigger<\/strong>\n – Bots discover URLs via internal links, sitemaps, external links, and previously known pages.\n – Your site\u2019s architecture, canonical signals, redirects, and URL patterns influence what bots attempt to fetch.<\/p>\n<\/li>\n

    2. \n

      Processing<\/strong>\n – Bots request a URL and interpret server responses (status code, headers), content type, and sometimes rendering requirements.\n – Performance factors (latency, time to first byte, payload size) shape how many requests can be made efficiently.<\/p>\n<\/li>\n

    3. \n

      Execution \/ Application<\/strong>\n – Crawlers adjust behavior over time based on perceived site health, capacity, and change frequency.\n – Your changes\u2014like fixing errors, improving internal links, or consolidating duplicates\u2014alter what bots see and how they crawl.<\/p>\n<\/li>\n

    4. \n

      Output \/ Outcome<\/strong>\n – Crawl Stats accumulate as trends: request volume, response code mix, response times, and resource usage.\n – Better Crawl Stats typically correlate with more reliable discovery and maintenance of SEO<\/strong> visibility, supporting Organic Marketing growth.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

      This is why Crawl Stats are best read as patterns over time<\/em>, not as a one-day snapshot.<\/p>\n\n\n\n

      4) Key Components of Crawl Stats<\/h2>\n\n\n\n

      To make Crawl Stats actionable, you need to understand what feeds them and who owns the levers:<\/p>\n\n\n\n

      Data sources and systems<\/h3>\n\n\n\n
        \n
      • Search engine webmaster tools<\/strong>: Provide summarized Crawl Stats and diagnostics from the crawler\u2019s point of view.<\/li>\n
      • Server access logs<\/strong>: The most granular record of bot requests (URLs, timestamps, status codes, user agents).<\/li>\n
      • Performance monitoring<\/strong>: Infrastructure metrics (CPU, caching, CDN behavior, error rates) that explain changes in crawl behavior.<\/li>\n
      • Site architecture artifacts<\/strong>: XML sitemaps, internal linking, navigation systems, canonical rules, robots directives.<\/li>\n<\/ul>\n\n\n\n

        Core metrics commonly included<\/h3>\n\n\n\n
          \n
        • Crawl requests over time<\/li>\n
        • Average response time<\/li>\n
        • Downloaded bytes (bandwidth used by crawlers)<\/li>\n
        • Response code distribution (2xx, 3xx, 4xx, 5xx)<\/li>\n
        • Crawl by file type (HTML vs images, scripts, feeds)<\/li>\n<\/ul>\n\n\n\n

          Governance and responsibilities<\/h3>\n\n\n\n
            \n
          • SEO teams<\/strong>: Identify crawl waste, prioritize templates\/sections, define indexable sets, propose fixes.<\/li>\n
          • Developers \/ DevOps<\/strong>: Improve performance, caching, error handling, rendering, and log availability.<\/li>\n
          • Content teams<\/strong>: Reduce thin duplication, rationalize taxonomy, and keep important pages fresh.<\/li>\n
          • Analytics\/BI<\/strong>: Build trend reporting that ties Crawl Stats to Organic Marketing KPIs (traffic, conversions, index coverage).<\/li>\n<\/ul>\n\n\n\n

            5) Types of Crawl Stats (Practical Distinctions)<\/h2>\n\n\n\n

            While \u201cCrawl Stats\u201d is one concept, it becomes more useful when segmented into real-world contexts:<\/p>\n\n\n\n

              \n
            1. \n

              By response class<\/strong>\n – Successful fetches (2xx)\n – Redirects (3xx)\n – Client errors (4xx) such as not found or blocked\n – Server errors (5xx) indicating reliability problems\n This breakdown helps you separate healthy crawling from wasted crawling.<\/p>\n<\/li>\n

            2. \n

              By resource type<\/strong>\n – HTML documents (usually highest SEO<\/strong> value)\n – Images, CSS, JavaScript (important for rendering and overall understanding)\n – Feeds and APIs (varies by site)\n This reveals whether bots are spending disproportionate effort on non-critical assets.<\/p>\n<\/li>\n

            3. \n

              By site section or template<\/strong>\n – Product pages vs category pages\n – Blog articles vs tag pages\n – Help center docs vs marketing pages\n This is especially important in Organic Marketing<\/strong> because not all URLs have equal business value.<\/p>\n<\/li>\n

            4. \n

              By bot category<\/strong>\n – Different crawlers (or bot types) may behave differently.\n – Segmentation helps diagnose whether issues are broad or limited to certain user agents.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

              6) Real-World Examples of Crawl Stats<\/h2>\n\n\n\n

              Example 1: E-commerce faceted navigation causing crawl waste<\/h3>\n\n\n\n

              An online retailer expands filters for size, color, and brand. Crawl Stats show rising crawl requests, but a large share hits parameterized URLs that don\u2019t drive Organic Marketing value. At the same time, key category pages update slowly in search results.<\/p>\n\n\n\n

              Action: consolidate indexable combinations, strengthen canonicalization, improve internal links to core categories, and reduce crawling of infinite variations. Result: Crawl Stats shift toward fewer low-value URLs and more consistent crawling of revenue-driving pages.<\/p>\n\n\n\n

              Example 2: Publisher sees slower discovery after a site redesign<\/h3>\n\n\n\n

              A news publisher migrates to a new frontend framework. Crawl Stats show increased average response time and more timeouts. Articles still publish, but SEO<\/strong> performance lags because crawlers can\u2019t fetch content quickly and consistently.<\/p>\n\n\n\n

              Action: performance profiling, caching improvements, server-side rendering where appropriate, and monitoring of status codes. Result: response time drops, Crawl Stats stabilize, and new content enters search systems faster\u2014supporting Organic Marketing distribution.<\/p>\n\n\n\n

              Example 3: SaaS documentation sprawl dilutes crawling<\/h3>\n\n\n\n

              A SaaS company\u2019s help center grows organically with duplicates, outdated pages, and multiple versions. Crawl Stats show heavy crawling on old documentation while new integration pages are crawled infrequently.<\/p>\n\n\n\n

              Action: prune or merge outdated docs, tighten internal linking, update sitemaps, and enforce versioning rules. Result: crawlers allocate more activity to current docs and high-intent pages, improving SEO<\/strong> visibility for product-led queries.<\/p>\n\n\n\n

              7) Benefits of Using Crawl Stats<\/h2>\n\n\n\n

              Using Crawl Stats<\/strong> as a regular diagnostic brings benefits that compound over time:<\/p>\n\n\n\n

                \n
              • Performance improvements<\/strong>: Faster server responses and fewer errors support smoother crawling and more reliable discovery.<\/li>\n
              • Efficiency gains<\/strong>: You can reduce crawl waste by guiding bots toward pages that matter most for Organic Marketing goals.<\/li>\n
              • Cost savings<\/strong>: Better caching, fewer 5xx errors, and cleaner redirects reduce infrastructure load and firefighting.<\/li>\n
              • Better audience experience<\/strong>: Many fixes that improve Crawl Stats\u2014speed, fewer broken pages, cleaner architecture\u2014also improve user experience, which indirectly supports SEO<\/strong> outcomes.<\/li>\n
              • More predictable launches<\/strong>: During migrations or redesigns, Crawl Stats help you validate that bots can access the new site without surprises.<\/li>\n<\/ul>\n\n\n\n

                8) Challenges of Crawl Stats<\/h2>\n\n\n\n

                Crawl Stats are powerful, but they\u2019re easy to misinterpret without context:<\/p>\n\n\n\n

                  \n
                • Aggregation hides specifics<\/strong>: High-level Crawl Stats may not reveal which exact URLs or templates cause the problem without log analysis.<\/li>\n
                • Causation vs correlation<\/strong>: A drop in crawling might be caused by fewer new URLs, seasonality, or site changes\u2014not always a penalty or \u201cproblem.\u201d<\/li>\n
                • Large-site complexity<\/strong>: At scale, duplicate URLs, parameters, and internal search pages can create near-infinite crawl paths.<\/li>\n
                • Rendering and JavaScript<\/strong>: Heavy client-side rendering can increase resource demands and complicate crawling behavior.<\/li>\n
                • Data gaps<\/strong>: Logs can be incomplete (CDN layers, sampling, retention limits), and bot identification can be noisy.<\/li>\n<\/ul>\n\n\n\n

                  Treat Crawl Stats as one diagnostic layer in your SEO<\/strong> system, not a standalone verdict.<\/p>\n\n\n\n

                  9) Best Practices for Crawl Stats<\/h2>\n\n\n\n

                  To make Crawl Stats actionable in Organic Marketing, focus on controllable levers:<\/p>\n\n\n\n

                    \n
                  1. \n

                    Improve crawl efficiency<\/strong>\n – Strengthen internal linking to your most valuable pages.\n – Keep sitemaps clean: include canonical, indexable URLs and remove junk.\n – Reduce duplicate paths (parameters, session IDs, alternate sorting URLs).<\/p>\n<\/li>\n

                  2. \n

                    Raise technical quality<\/strong>\n – Reduce 5xx errors and timeouts; these directly degrade crawl reliability.\n – Minimize redirect chains; use direct redirects where possible.\n – Keep response times stable under load with caching and performance tuning.<\/p>\n<\/li>\n

                  3. \n

                    Make indexable sets explicit<\/strong>\n – Use consistent canonical rules.\n – Prevent accidental indexation of internal search results and thin tag pages where appropriate.\n – Ensure robots directives match your Organic Marketing priorities (block what shouldn\u2019t exist; don\u2019t \u201chide\u201d pages you actually need to rank).<\/p>\n<\/li>\n

                  4. \n

                    Monitor trends, not days<\/strong>\n – Review Crawl Stats weekly\/monthly and annotate major releases.\n – Set alerts for spikes in 404\/5xx, abnormal redirect growth, or sustained response time increases.<\/p>\n<\/li>\n

                  5. \n

                    Operationalize with cross-team workflows<\/strong>\n – Define ownership: who fixes server errors, who updates sitemap logic, who controls URL generation.\n – Create a recurring technical SEO<\/strong> review that includes Crawl Stats, logs, and index coverage signals.<\/p>\n<\/li>\n<\/ol>\n\n\n\n

                    10) Tools Used for Crawl Stats<\/h2>\n\n\n\n

                    You don\u2019t need a single \u201cmagic\u201d tool; you need a stack that covers crawler perspective and server reality:<\/p>\n\n\n\n

                      \n
                    • Search engine webmaster tools<\/strong>: Summarized Crawl Stats trends, crawl diagnostics, and site-level signals.<\/li>\n
                    • Log file analysis tools<\/strong>: Parse server logs to see exactly what bots requested, how often, and what they received.<\/li>\n
                    • Website crawling tools<\/strong>: Simulate crawling to find broken links, redirect chains, canonical conflicts, and orphan pages.<\/li>\n
                    • Performance monitoring and observability<\/strong>: Track latency, cache hit rates, error rates, and backend bottlenecks that influence crawling.<\/li>\n
                    • Reporting dashboards<\/strong>: Combine Crawl Stats, log insights, and Organic Marketing KPIs for decision-making.<\/li>\n<\/ul>\n\n\n\n

                      The most effective SEO<\/strong> teams pair summarized Crawl Stats with log-based evidence to prioritize fixes confidently.<\/p>\n\n\n\n

                      11) Metrics Related to Crawl Stats<\/h2>\n\n\n\n

                      When tying Crawl Stats<\/strong> to Organic Marketing performance, these indicators are most useful:<\/p>\n\n\n\n

                        \n
                      • Crawl requests per day<\/strong>: Volume trend; watch for unexplained drops or spikes.<\/li>\n
                      • Average response time<\/strong>: A leading indicator of crawl friction and server health.<\/li>\n
                      • Downloaded kilobytes\/megabytes<\/strong>: Useful for understanding crawler resource usage and heavy pages.<\/li>\n
                      • Status code mix<\/strong><\/li>\n
                      • Rising 4xx<\/strong> can indicate broken internal links, removed content, or URL generation issues.<\/li>\n
                      • Rising 5xx<\/strong> indicates server instability that can harm crawling and broader SEO<\/strong> outcomes.<\/li>\n
                      • Excessive 3xx<\/strong> can signal redirect loops or migration debt.<\/li>\n
                      • Crawl distribution by directory\/template<\/strong>: Ensures bots spend time where business value is highest.<\/li>\n
                      • Crawl frequency of critical pages<\/strong>: Home, category hubs, top products, and key Organic Marketing content should be reliably revisited.<\/li>\n
                      • Crawl waste ratio (practical metric)<\/strong>: Share of bot hits on low-value or non-indexable URLs vs total bot activity.<\/li>\n<\/ul>\n\n\n\n

                        12) Future Trends of Crawl Stats<\/h2>\n\n\n\n

                        Crawl Stats are evolving as sites and search ecosystems change:<\/p>\n\n\n\n

                          \n
                        • More automation in technical diagnostics<\/strong>: AI-assisted anomaly detection will flag unusual Crawl Stats patterns (error spikes, sudden latency increases) faster.<\/li>\n
                        • Rendering complexity and performance pressure<\/strong>: As JavaScript-heavy experiences remain common, teams will rely more on performance engineering to keep crawling efficient.<\/li>\n
                        • Smarter crawl prioritization<\/strong>: Search engines increasingly allocate crawl effort based on perceived value, freshness, and site quality signals\u2014making clean architecture essential for Organic Marketing at scale.<\/li>\n
                        • Infrastructure shifts<\/strong>: Edge delivery, serverless backends, and CDN-based routing can improve response times but also complicate logging and bot visibility.<\/li>\n
                        • Measurement constraints<\/strong>: Data retention limits and privacy\/security practices will push organizations to build better internal telemetry and governance for log access.<\/li>\n<\/ul>\n\n\n\n

                          The practical takeaway: Crawl Stats will remain a core SEO<\/strong> health signal, but winning teams will combine them with performance and content operations.<\/p>\n\n\n\n

                          13) Crawl Stats vs Related Terms<\/h2>\n\n\n\n

                          Crawl Stats vs Crawl Budget<\/h3>\n\n\n\n
                            \n
                          • Crawl Stats<\/strong> are measurements of what happened (requests, bytes, response times, errors).<\/li>\n
                          • Crawl budget<\/strong> is the practical limit of how much crawling is likely to occur for your site within a time window.\nUse Crawl Stats to infer whether crawl budget is being used efficiently, but don\u2019t treat the two as interchangeable.<\/li>\n<\/ul>\n\n\n\n

                            Crawl Stats vs Index Coverage (Indexing)<\/h3>\n\n\n\n
                              \n
                            • Crawl Stats reflect bot access and fetching behavior.<\/li>\n
                            • Index coverage reflects which pages are actually indexed (or excluded) and why.\nA page can be crawled often but still not indexed due to duplication, canonical signals, or quality thresholds\u2014important for SEO<\/strong> troubleshooting.<\/li>\n<\/ul>\n\n\n\n

                              Crawl Stats vs Log File Analysis<\/h3>\n\n\n\n
                                \n
                              • Crawl Stats are aggregated summaries (often easier to consume).<\/li>\n
                              • Log file analysis is granular proof of bot behavior at the URL level.\nFor Organic Marketing at scale, logs are often where the \u201cwhy\u201d becomes undeniable.<\/li>\n<\/ul>\n\n\n\n

                                14) Who Should Learn Crawl Stats<\/h2>\n\n\n\n
                                  \n
                                • Marketers and content strategists<\/strong>: To understand why content isn\u2019t getting discovered and how site structure affects Organic Marketing reach.<\/li>\n
                                • SEO specialists<\/strong>: To diagnose crawling bottlenecks, reduce waste, and stabilize technical performance.<\/li>\n
                                • Analysts<\/strong>: To connect Crawl Stats trends with releases, traffic shifts, and index behavior.<\/li>\n
                                • Agencies<\/strong>: To prioritize technical roadmaps, justify fixes, and prove impact beyond rankings.<\/li>\n
                                • Business owners and founders<\/strong>: To make better investment decisions in site performance, migrations, and scalable Organic Marketing systems.<\/li>\n
                                • Developers and DevOps<\/strong>: To see how uptime, latency, caching, and architecture directly influence SEO<\/strong> results.<\/li>\n<\/ul>\n\n\n\n

                                  15) Summary of Crawl Stats<\/h2>\n\n\n\n

                                  Crawl Stats<\/strong> measure how search engine bots crawl your website\u2014how often they request pages, how quickly your servers respond, and how many errors or redirects occur. They matter because crawling is the gateway to discovery and maintenance of organic visibility. In Organic Marketing<\/strong>, Crawl Stats help you ensure bots focus on high-value pages and that technical performance doesn\u2019t block growth. Used well, Crawl Stats become a practical operating metric that supports faster, more reliable SEO<\/strong> outcomes.<\/p>\n\n\n\n

                                  16) Frequently Asked Questions (FAQ)<\/h2>\n\n\n\n

                                  1) What are Crawl Stats used for?<\/h3>\n\n\n\n

                                  Crawl Stats are used to monitor crawler activity and site health\u2014especially crawl volume, response times, and error rates\u2014so you can diagnose discovery problems and prioritize technical SEO<\/strong> fixes.<\/p>\n\n\n\n

                                  2) Do better Crawl Stats automatically improve rankings?<\/h3>\n\n\n\n

                                  Not directly. Better Crawl Stats typically improve discovery, recrawling, and technical reliability, which supports SEO<\/strong> performance. Rankings still depend on relevance, quality, and competition.<\/p>\n\n\n\n

                                  3) How often should I review Crawl Stats for SEO?<\/h3>\n\n\n\n

                                  For most sites, weekly monitoring and monthly trend reviews work well. During migrations, redesigns, or large content launches, check Crawl Stats more frequently to catch errors and latency issues early.<\/p>\n\n\n\n

                                  4) Why would Crawl Stats show a sudden drop in crawling?<\/h3>\n\n\n\n

                                  Common causes include server instability, increased response times, accidental blocking (robots directives), major URL changes, or a reduction in discoverable internal links. Pair Crawl Stats with logs and recent release notes to identify the trigger.<\/p>\n\n\n\n

                                  5) What is the difference between Crawl Stats and index coverage?<\/h3>\n\n\n\n

                                  Crawl Stats show fetching behavior (what bots requested and how it went). Index coverage shows indexing outcomes (what\u2019s included or excluded). You need both to manage Organic Marketing growth reliably.<\/p>\n\n\n\n

                                  6) Which pages should get the most crawler attention?<\/h3>\n\n\n\n

                                  Pages with the highest Organic Marketing value: core category hubs, top products\/services, important evergreen content, and pages that change frequently (inventory, pricing, timely updates). Use internal linking and clean sitemaps to signal importance.<\/p>\n\n\n\n

                                  7) Can developers influence Crawl Stats without changing content?<\/h3>\n\n\n\n

                                  Yes. Improving caching, reducing server errors, speeding up responses, fixing redirect chains, and ensuring consistent status codes can significantly improve Crawl Stats and make SEO<\/strong> initiatives more effective.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                  Crawl Stats describe the measurable activity of search engine bots as they request, download, and evaluate pages and files on your website. In **Organic Marketing**, these signals act like a technical \u201cvital sign\u201d: they show whether your content can be discovered efficiently, whether servers respond quickly, and whether bots are spending time on the pages that matter for growth.<\/p>\n","protected":false},"author":10235,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[131],"tags":[],"class_list":["post-9537","post","type-post","status-publish","format-standard","hentry","category-seo"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/9537","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/users\/10235"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/comments?post=9537"}],"version-history":[{"count":0,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/posts\/9537\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/media?parent=9537"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/categories?post=9537"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wizbrand.com\/tutorials\/wp-json\/wp\/v2\/tags?post=9537"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}