{"id":1653,"date":"2026-01-29T20:38:08","date_gmt":"2026-01-29T18:38:08","guid":{"rendered":"https:\/\/parserdata.com\/blog\/?p=1653"},"modified":"2026-03-10T23:16:16","modified_gmt":"2026-03-10T21:16:16","slug":"how-to-automate-data-extraction","status":"publish","type":"post","link":"https:\/\/parserdata.com\/blog\/how-to-automate-data-extraction\/","title":{"rendered":"How to Automate Data Extraction: The Complete 5-Step Guide (2026)"},"content":{"rendered":"\n<p>If your team is still manually typing data from PDFs into Excel in 2026, you are not just wasting time you are burning money. The modern business landscape demands speed and accuracy that human fingers simply cannot provide. The solution is clear, but the implementation often confuses people. This guide focuses specifically on <strong>how to automate data extraction<\/strong> efficiently, moving you from manual chaos to a streamlined digital pipeline.<\/p>\n\n\n\n<p>Whether you are a finance manager drowning in invoices or a developer looking to optimize workflows, learning <strong>how to automate data extraction<\/strong> is the single highest-ROI skill you can master this year. We will break this down into actionable steps, supported by the latest tools and best practices.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Table of Contents<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"#1-why-automation-is-mandatory\">1. Why Automation is Mandatory, Not Optional<\/a><\/li>\n\n\n\n<li><a href=\"#2-identifying-data-sources\">2. Step 1: Identifying Your Data Sources<\/a><\/li>\n\n\n\n<li><a href=\"#3-choosing-the-right-technology\">3. Step 2: Choosing the Right Technology (OCR vs AI)<\/a><\/li>\n\n\n\n<li><a href=\"#4-building-the-pipeline\">4. Step 3: Building the Pipeline (No-Code)<\/a><\/li>\n\n\n\n<li><a href=\"#5-validation-and-human-in-the-loop\">5. Step 4: Validation and &#8220;Human-in-the-Loop&#8221;<\/a><\/li>\n\n\n\n<li><a href=\"#6-exporting-to-destinations\">6. Step 5: Exporting to Destinations<\/a><\/li>\n\n\n\n<li><a href=\"#7-real-world-example\">7. Real-World Example: Invoice to Google Sheets<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Quick Comparison: Manual vs. Automated<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Feature<\/th><th>Manual Entry<\/th><th>Automated Extraction<\/th><\/tr><\/thead><tbody><tr><td><strong>Speed<\/strong><\/td><td>10 mins\/doc<\/td><td><strong>&lt; 30 seconds\/doc<\/strong><\/td><\/tr><tr><td><strong>Cost<\/strong><\/td><td>High (Salaries)<\/td><td>Low (Software subscription)<\/td><\/tr><tr><td><strong>Scalability<\/strong><\/td><td>Limited by staff<\/td><td>Infinite (Cloud-based)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"1-why-automation-is-mandatory\">1. Why Automation is Mandatory, Not Optional<\/h2>\n\n\n\n<p>Before diving into <strong>how to automate data extraction<\/strong>, it is crucial to understand the cost of inaction. <a href=\"https:\/\/www.gartner.com\/en\/products\/executive-programs\" target=\"_blank\" rel=\"noreferrer noopener\">Gartner<\/a> predicts that by 2026, hyperautomation will be a condition of survival for modern businesses. Manual entry is prone to error rates of 1-4%, which in finance creates significant compliance risks.<\/p>\n\n\n\n<p>Automation ensures <strong>data integrity<\/strong> and frees your team to perform analysis rather than transcription. It transforms your department from a cost center into a strategic asset.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"2-identifying-data-sources\">2. Step 1: Identifying Your Data Sources<\/h2>\n\n\n\n<p>The first step in learning <strong>how to automate data extraction<\/strong> is a comprehensive audit. Where is your data coming from? Most business data is unstructured.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Email Attachments:<\/strong> PDF invoices, purchase orders.<\/li>\n\n\n\n<li><strong>Scanned Documents:<\/strong> Paper receipts, legacy contracts.<\/li>\n\n\n\n<li><strong>Digital Files:<\/strong> CSVs from bank portals, reports from CRMs.<\/li>\n<\/ul>\n\n\n\n<p>According to <a href=\"https:\/\/www.ibm.com\/topics\/unstructured-data\" target=\"_blank\" rel=\"noreferrer noopener\">IBM<\/a>, 80% of enterprise data is <strong>unstructured data<\/strong>. Your goal is to funnel all these disparate sources into a single ingestion point, such as a dedicated Google Drive folder or an email forwarding address.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"3-choosing-the-right-technology\">3. Step 2: Choosing the Right Technology (OCR vs AI)<\/h2>\n\n\n\n<p>This is where many fail. They try to use simple regex scripts or legacy OCR. When asking <strong>how to automate data extraction<\/strong> for complex documents, you need Contextual AI.<\/p>\n\n\n\n<p>Legacy <strong>OCR (Optical Character Recognition)<\/strong> reads text but doesn&#8217;t understand it. AI, on the other hand, understands that &#8220;<em>Total: $500<\/em>&#8221; is a financial value. For a deeper dive into this distinction, read our article on <a href=\"https:\/\/parserdata.com\/blog\/explaining-pdf-data-extraction\">explaining PDF data extraction<\/a>. Choose a tool like <strong>ParserData<\/strong> that leverages LLMs to adapt to changing layouts without constant template maintenance.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1024\" height=\"572\" data-src=\"https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Visual-comparison-demonstrating-the-limitations-of-fixed-legacy-OCR-templates-versus-the-flexibility-of-AI-powered-automated-extraction-1.jpg\" alt=\"Visual comparison of legacy ocr templates versus flexible ai extraction\" class=\"wp-image-1659 lazyload\" data-srcset=\"https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Visual-comparison-demonstrating-the-limitations-of-fixed-legacy-OCR-templates-versus-the-flexibility-of-AI-powered-automated-extraction-1.jpg 1024w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Visual-comparison-demonstrating-the-limitations-of-fixed-legacy-OCR-templates-versus-the-flexibility-of-AI-powered-automated-extraction-1-300x168.jpg 300w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Visual-comparison-demonstrating-the-limitations-of-fixed-legacy-OCR-templates-versus-the-flexibility-of-AI-powered-automated-extraction-1-768x429.jpg 768w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/572;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"4-building-the-pipeline\">4. Step 3: Building the Pipeline (No-Code)<\/h2>\n\n\n\n<p>You do not need to be a developer. The modern approach to <strong>how to automate data extraction<\/strong> involves using &#8220;<em>glue<\/em>&#8221; platforms like <strong>n8n<\/strong>, <strong>Zapier<\/strong>, or <strong>Make<\/strong>. These tools act as a bridge.<\/p>\n\n\n\n<p>Your pipeline should look like this:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Trigger:<\/strong> New email arrives with attachment.<\/li>\n\n\n\n<li><strong>Action 1:<\/strong> Send attachment to ParserData API.<\/li>\n\n\n\n<li><strong>Action 2:<\/strong> ParserData extracts JSON data.<\/li>\n\n\n\n<li><strong>Action 3:<\/strong> Save JSON data to Google Sheets\/Excel.<\/li>\n<\/ol>\n\n\n\n<p>This <a href=\"https:\/\/parserdata.com\/blog\/why-use-api-for-data\">API-first approach<\/a> ensures real-time synchronization.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"5-validation-and-human-in-the-loop\">5. Step 4: Validation and &#8220;Human-in-the-Loop&#8221;<\/h2>\n\n\n\n<p>Trust, but verify. Even the best AI can struggle with a coffee-stained receipt. A critical part of understanding <strong>how to automate data extraction<\/strong> responsibly is implementing a &#8220;<em>Human-in-the-Loop<\/em>&#8221; (HITL) step.<\/p>\n\n\n\n<p>Configure your workflow to check the <strong>confidence score<\/strong>. If the AI is 99% sure, process it automatically. If it is only 80% sure, route it to a Slack channel for a human to click &#8220;<em>Approve<\/em>.&#8221; This balances speed with <strong>100% accuracy<\/strong>.<\/p>\n\n\n\n<p><em>Let&#8217;s build a real workflow. Watch this step-by-step guide on sending invoices from Gmail straight to Google Sheets \ud83d\udc47<\/em><\/p>\n\n\n<style>.glightbox-kadence-dark.kadence-popup-1653_db0b3c-55 .goverlay{background:#000000;opacity:0.8;}.glightbox-container.kadence-popup-1653_db0b3c-55 .gclose path, .glightbox-container.kadence-popup-1653_db0b3c-55 .gnext path, .glightbox-container.kadence-popup-1653_db0b3c-55 .gprev path{fill:#ffffff;}.glightbox-container.kadence-popup-1653_db0b3c-55 .gslide-video, .glightbox-container.kadence-popup-1653_db0b3c-55 .gvideo-local{max-width:900px !important;}<\/style>\n<div class=\"wp-block-kadence-videopopup kadence-video-popup1653_db0b3c-55\"><div class=\"kadence-video-popup-wrap kadence-video-noshadow\"><div class=\"kadence-video-intrinsic \"><img decoding=\"async\" data-src=\"https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/ParserData-n8n-if.jpg\" alt=\"How to Automate Gmail Invoices to Google Sheets with n8n\" width=\"1920\" height=\"1080\" class=\"kadence-video-poster wp-image-2226 lazyload\" data-srcset=\"https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/ParserData-n8n-if.jpg 1920w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/ParserData-n8n-if-300x169.jpg 300w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/ParserData-n8n-if-1024x576.jpg 1024w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/ParserData-n8n-if-768x432.jpg 768w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/ParserData-n8n-if-1536x864.jpg 1536w\" data-sizes=\"(max-width: 1920px) 100vw, 1920px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1920px; --smush-placeholder-aspect-ratio: 1920\/1080;\" \/><div class=\"kadence-video-overlay\"><\/div><a class=\"kadence-video-popup-link kadence-video-type-external\" aria-label=\"n8n Workflow Tutorial: Automate Gmail invoices directly to Google Sheets\" href=\"https:\/\/youtu.be\/d6I-puVs3xY?si=14WDmBZBAIM7To2w\" role=\"button\" data-popup-class=\"kadence-popup-1653_db0b3c-55\" data-effect=\"none\" data-popup-id=\"kadence-local-video-1653_db0b3c-55\" data-popup-auto=\"false\" data-youtube-cookies=\"true\"><span class=\"kb-svg-icon-wrap kb-svg-icon-fas_play kt-video-svg-icon kt-video-svg-icon-style-default kt-video-svg-icon-fas play kt-video-play-animation-none kt-video-svg-icon-size-auto\"><svg viewBox=\"0 0 448 512\"  fill=\"currentColor\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  role=\"img\"><title>Play<\/title><path d=\"M424.4 214.7L72.4 6.6C43.8-10.3 0 6.1 0 47.9V464c0 37.5 40.7 60.1 72.4 41.3l352-208c31.4-18.5 31.5-64.1 0-82.6z\"\/><\/svg><\/span><\/a><\/div><\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"6-exporting-to-destinations\">6. Step 5: Exporting to Destinations<\/h2>\n\n\n\n<p>Extracted data is useless if it sits in a vacuum. The final step in <strong>how to automate data extraction<\/strong> is mapping the output to your ERP or database.<\/p>\n\n\n\n<p>Ensure your data types match. Dates should be standardized (YYYY-MM-DD), and currency symbols removed. Tools like n8n allow you to transform data &#8220;<em>in flight<\/em>&#8221; before it hits your clean database. This is a core concept of <a href=\"https:\/\/parserdata.com\/blog\/what-is-data-extraction\">ETL pipelines<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"7-real-world-example\">7. Real-World Example: Invoice to Google Sheets<\/h2>\n\n\n\n<p>Let\u2019s put theory into practice. We have designed a ready-to-use workflow that demonstrates exactly <strong>how to automate data extraction<\/strong> from a PDF invoice directly into a Google Sheet row.<\/p>\n\n\n\n<p>This workflow handles the ingestion, extraction, and formatting for you. You can clone it and start saving time immediately.<\/p>\n\n\n\n<p><a href=\"https:\/\/community.n8n.io\/t\/enterprise-automate-invoice-extraction-to-google-sheets-google-drive-parserdata\/252560\" target=\"_blank\" rel=\"noreferrer noopener\">\ud83d\ude80 Download Free n8n Workflow Template<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1024\" height=\"572\" data-src=\"https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Step-by-step-diagram-visualization-illustrating-the-five-stages-of-the-workflow-on-how-to-automate-data-extraction.jpg\" alt=\"Step by step visualization of how to automate data extraction workflow\" class=\"wp-image-1656 lazyload\" data-srcset=\"https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Step-by-step-diagram-visualization-illustrating-the-five-stages-of-the-workflow-on-how-to-automate-data-extraction.jpg 1024w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Step-by-step-diagram-visualization-illustrating-the-five-stages-of-the-workflow-on-how-to-automate-data-extraction-300x168.jpg 300w, https:\/\/parserdata.com\/blog\/wp-content\/uploads\/2026\/01\/Step-by-step-diagram-visualization-illustrating-the-five-stages-of-the-workflow-on-how-to-automate-data-extraction-768x429.jpg 768w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/572;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"conclusion\">Conclusion<\/h2>\n\n\n\n<p>Learning <strong>how to automate data extraction<\/strong> is a journey from manual drudgery to automated efficiency. By following these 5 steps &#8211; Audit, Choose, Connect, Validate, Export you build a system that scales with your business. In 2026, automation is the key to unlocking operational agility.<\/p>\n\n\n\n<p>Ready to start? Sign up for <a href=\"https:\/\/parserdata.com\">ParserData<\/a> and build your first automated pipeline today.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Do I need coding skills to automate data extraction?<\/h3>\n\n\n\n<p>No. Modern tools are designed for &#8220;<em>Citizen Developers<\/em>&#8220;. Using no-code platforms like n8n or Make, you can build complex extraction pipelines using a visual drag-and-drop interface.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What is the best tool to automate data extraction from PDFs?<\/h3>\n\n\n\n<p>The best tool depends on complexity. For variable layouts (like vendor invoices), AI-powered tools like ParserData are superior to legacy OCR because they understand context without rigid templates.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How much time does automation save?<\/h3>\n\n\n\n<p>On average, automation reduces processing time by 90%. A manual entry task that takes 10 minutes can be completed by an automated workflow in under 30 seconds.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can I automate extraction from emails?<\/h3>\n\n\n\n<p>Yes. Most workflows start with an &#8220;<em>Email Trigger<\/em>&#8220;. The system watches your inbox for attachments, automatically sends them to the parser, and saves the data, so you never have to open the file.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is automated extraction accurate enough for finance?<\/h3>\n\n\n\n<p>Yes, AI extraction achieves 98%+ accuracy. For 100% certainty, you can implement a &#8220;<em>Human-in-the-Loop<\/em>&#8221; step where the system asks for approval only if confidence falls below a certain threshold.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Recommended<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/parserdata.com\/blog\/what-is-data-extraction\">What Is Data Extraction? The Complete Guide<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/parserdata.com\/blog\/business-document-automation-explained\">Business Document Automation Explained: The 2026 Guide<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/parserdata.com\/blog\/automation-best-practices\">10 Automation Best Practices to Scale Finance Operations<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/parserdata.com\/blog\/why-use-api-for-data-integration\/\">5 Reasons Why Use API for Data Integration<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-small-font-size\">Disclaimer: All comparisons in this article are based on publicly available information and our own product research as of the date of publication. 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Using no-code platforms like n8n or Make, you can build complex extraction pipelines using a visual drag-and-drop interface.\"<br \/>\n                    }<br \/>\n                },<br \/>\n                {<br \/>\n                    \"@type\": \"Question\",<br \/>\n                    \"name\": \"What is the best tool to automate data extraction from PDFs?\",<br \/>\n                    \"acceptedAnswer\": {<br \/>\n                        \"@type\": \"Answer\",<br \/>\n                        \"text\": \"The best tool depends on complexity. For variable layouts (like vendor invoices), AI-powered tools like ParserData are superior to legacy OCR because they understand context without rigid templates.\"<br \/>\n                    }<br \/>\n                },<br \/>\n                {<br \/>\n                    \"@type\": \"Question\",<br \/>\n                    \"name\": \"How much time does automation save?\",<br \/>\n                    \"acceptedAnswer\": {<br \/>\n                        \"@type\": \"Answer\",<br \/>\n                        \"text\": \"On average, automation reduces processing time by 90%. A manual entry task that takes 10 minutes can be completed by an automated workflow in under 30 seconds.\"<br \/>\n                    }<br \/>\n                },<br \/>\n                {<br \/>\n                    \"@type\": \"Question\",<br \/>\n                    \"name\": \"Can I automate extraction from emails?\",<br \/>\n                    \"acceptedAnswer\": {<br \/>\n                        \"@type\": \"Answer\",<br \/>\n                        \"text\": \"Yes. Most workflows start with an 'Email Trigger'. The system watches your inbox for attachments, automatically sends them to the parser, and saves the data, so you never have to open the file.\"<br \/>\n                    }<br \/>\n                },<br \/>\n                {<br \/>\n                    \"@type\": \"Question\",<br \/>\n                    \"name\": \"Is automated extraction accurate enough for finance?\",<br \/>\n                    \"acceptedAnswer\": {<br \/>\n                        \"@type\": \"Answer\",<br \/>\n                        \"text\": \"Yes, AI extraction achieves 98%+ accuracy. For 100% certainty, you can implement a 'Human-in-the-Loop' step where the system asks for approval only if confidence falls below a certain threshold.\"<br \/>\n                    }<br \/>\n                }<br \/>\n            ]<br \/>\n        }<br \/>\n    ]<br \/>\n}<br \/>\n<\/script><\/p>","protected":false},"excerpt":{"rendered":"<p>If your team is still manually typing data from PDFs into Excel in 2026, you are not just wasting time you are burning money. The modern business landscape demands speed and accuracy that human fingers simply cannot provide. The solution is clear, but the implementation often confuses people. This guide focuses specifically on how to&#8230;<\/p>\n","protected":false},"author":1,"featured_media":1661,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_swpsp_post_exclude":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[3],"tags":[83,154,164,186],"class_list":["post-1653","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-automation","tag-automated-data-entry-en","tag-automated-extraction-en","tag-automating-data-extraction-en","tag-invoice-ocr-automation"],"_links":{"self":[{"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/posts\/1653","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/comments?post=1653"}],"version-history":[{"count":10,"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/posts\/1653\/revisions"}],"predecessor-version":[{"id":2227,"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/posts\/1653\/revisions\/2227"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/media\/1661"}],"wp:attachment":[{"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/media?parent=1653"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/categories?post=1653"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/parserdata.com\/blog\/wp-json\/wp\/v2\/tags?post=1653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}