{"id":9043826802962,"title":"Shopify Create a Metafield Integration","handle":"shopify-create-a-metafield-integration","description":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eShopify Create Metafield Integration | Consultants In-A-Box\u003c\/title\u003e\n \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1\"\u003e\n \u003cstyle\u003e\n body {\n font-family: Inter, \"Segoe UI\", Roboto, sans-serif;\n background: #ffffff;\n color: #1f2937;\n line-height: 1.7;\n margin: 0;\n padding: 48px;\n }\n h1 { font-size: 32px; margin-bottom: 16px; }\n h2 { font-size: 22px; margin-top: 32px; }\n p { margin: 12px 0; }\n ul { margin: 12px 0 12px 24px; }\n \/* No link styles: do not create or style anchors *\/\n \u003c\/style\u003e\n\n\n \u003ch1\u003eTurn Shopify Metafields into Business Intelligence and Operational Efficiency\u003c\/h1\u003e\n\n \u003cp\u003eShopify metafields let businesses attach tailored, structured data to products, customers, orders, and collections so the store does more of the work that used to require manual processes. Rather than shoehorning information into generic fields or keeping spreadsheets outside the platform, metafields become a flexible layer of business data that lives alongside your commerce objects.\u003c\/p\u003e\n \u003cp\u003eWhen paired with AI integration and workflow automation, metafields stop being passive storage and start acting as signals: AI agents create, update, and interpret metafields automatically; workflow bots trigger actions when metafields change; and teams get consistent, actionable information everywhere from the storefront to the warehouse. That combination accelerates digital transformation and generates measurable business efficiency.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eAt a high level, a metafield is a named piece of custom data that you attach to a Shopify resource. Think of it as a labeled slot where you store whatever extra information your business needs — special handling instructions for an order, a product’s extended technical specification, a customer preference flag, or a restock date for a SKU.\u003c\/p\u003e\n \u003cp\u003eImplementing metafields for business outcomes involves three practical steps:\n \u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eDefine the model: decide which objects need extra data and design consistent names and types so the data is reliable across systems.\u003c\/li\u003e\n \u003cli\u003ePopulate and sync: use integrations, spreadsheets, or automation to write values into those metafields and keep them up to date.\u003c\/li\u003e\n \u003cli\u003eSurface and act: expose the metafield values where they matter — product pages, customer service tools, fulfillment systems — and trigger follow-up workflows when values change.\u003c\/li\u003e\n \u003c\/ul\u003e\n Permissions and governance matter: metafields are created and managed through Shopify’s integration layer, which enforces authentication and scopes so only authorized apps and services can read or write sensitive business data. Once in place, metafields provide a consistent, reusable source of truth across themes, apps, and internal tools.\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAI integration turns metafields into active business assets rather than passive fields. Agentic automation — smart software agents that take multi-step actions without constant human oversight — can create, enrich, and act on metafields to reduce manual work and improve accuracy.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eAutomated enrichment: AI agents can read supplier spreadsheets, product catalogs, or technical PDFs and populate product metafields with attributes, specifications, or compliance data.\u003c\/li\u003e\n \u003cli\u003eImage-driven tagging: computer vision models analyze product images and automatically write visual attributes into metafields, powering faceted search and better recommendations.\u003c\/li\u003e\n \u003cli\u003eCustomer intelligence: conversational AI captures preferences and updates customer metafields so marketing and support teams have a unified profile to personalize outreach.\u003c\/li\u003e\n \u003cli\u003eOperational orchestration: workflow bots monitor order metafields for flags like “special packaging” or “urgent” and route tasks to the right fulfillment queues or print custom packing slips.\u003c\/li\u003e\n \u003cli\u003eContinuous monitoring: agents scan metafields for anomalies and trigger alerts or corrective workflows, reducing the time between problem detection and resolution.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eEnrich complex product catalogs:\u003c\/strong\u003e A hardware manufacturer uses AI to extract technical specs from datasheets and populate product metafields so product pages show precise, searchable details without manual entry.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003ePersonalized storefronts:\u003c\/strong\u003e Retailers store style preferences or size notes in customer metafields captured through a short onboarding quiz; the storefront and recommendation engine read these fields to surface relevant items.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eSmart order handling:\u003c\/strong\u003e Ecommerce teams add production status and handling instructions to order metafields. Workflow bots watch those fields and automatically update logistics systems or notify packing teams when an order is ready to ship.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eInventory planning and restock automation:\u003c\/strong\u003e Suppliers push restock dates into inventory metafields; agents combine that with sales velocity to trigger purchase orders and update estimated availability on product pages.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eB2B catalog rules:\u003c\/strong\u003e For wholesale customers, metafields store negotiated discounts and order minimums per account, and automated agents ensure pricing rules are applied consistently across channels.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eReturns and warranty tracking:\u003c\/strong\u003e Return reasons and warranty expiry dates live in metafields so customer service workflows and fulfillment have the exact context they need to resolve claims faster.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eAnalytics and reporting enrichment:\u003c\/strong\u003e Marketers and analysts append campaign attribution or SKU-level performance tags to metafields for richer downstream reporting without touching the primary catalog.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eWhen metafields are designed as part of an integrated automation strategy, they deliver practical, measurable improvements across the organization.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eTime savings:\u003c\/strong\u003e Routine data entry and enrichment move from teams into automated workflows, turning hours of manual work into seconds of automated updates.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eFewer errors:\u003c\/strong\u003e Machine-driven population and validation reduce typos and inconsistent naming, improving data quality and the reliability of downstream processes.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eFaster merchandising and launches:\u003c\/strong\u003e New SKUs can be enriched and published at scale because agents populate complex attributes automatically, shortening time-to-market.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eBetter conversion through personalization:\u003c\/strong\u003e Using customer metafields to tailor product displays and recommendations increases relevance and lift in conversion rates.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eScalability:\u003c\/strong\u003e Consistent metadata practices enable teams to support larger catalogs, more SKUs, and more channels without proportionally increasing headcount.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eImproved collaboration:\u003c\/strong\u003e Metafields create a single source of truth shared between merchandising, marketing, support, and operations, removing friction and repeated context switching.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eActionable analytics:\u003c\/strong\u003e Enriched data in metafields feeds BI systems and dashboards with higher-fidelity signals for forecasting, promotion planning, and assortment decisions.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eGovernance and compliance:\u003c\/strong\u003e Structured metadata helps enforce labeling, regulatory disclosures, and warranty tracking consistently across products and markets.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eDesigning a metafield strategy that unlocks value requires more than adding fields — it requires mapping outcomes, automating data flows, and embedding AI where it amplifies impact. Consultants In-A-Box approaches this with a repeatable service model that blends strategy, integration, and managed operations.\u003c\/p\u003e\n \u003cp\u003eTypical engagement steps:\n \u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eDiscovery \u0026amp; outcomes mapping:\u003c\/strong\u003e We work with stakeholders to identify which metafields drive revenue, reduce cost, or speed process, and prioritize a roadmap tied to business KPIs.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eMetadata design:\u003c\/strong\u003e We create a consistent naming convention, data types, and validation rules so metafields are interoperable across themes, apps, and reporting tools.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eAutomation \u0026amp; AI integration:\u003c\/strong\u003e We build AI agents and workflow bots to ingest source data, enrich metafields, and trigger downstream actions — for example, using NLP to extract specs or vision models to tag images.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eSystems integration:\u003c\/strong\u003e We connect ERP, PIM, analytics, and 3PL systems so metafields become the glue that synchronizes commerce operations end to end.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eTesting \u0026amp; rollout:\u003c\/strong\u003e We validate data quality and user experiences, run pilot cohorts, and iterate to ensure the automation behaves predictably at scale.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eTraining \u0026amp; change management:\u003c\/strong\u003e We train teams on the new workflows and provide documentation so merchandising, support, and ops adopt the metafield-driven processes smoothly.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eMonitoring \u0026amp; managed operations:\u003c\/strong\u003e Once live, we monitor agent performance, data integrity, and operational outcomes, making continuous improvements as business needs evolve.\u003c\/li\u003e\n \u003c\/ul\u003e\n The result is a managed, repeatable automation layer that turns custom metadata into reliable business actions rather than isolated fields maintained by spreadsheets.\n\n \u003ch2\u003eSummary\u003c\/h2\u003e\n \u003cp\u003eShopify metafields are a practical, low-friction way to extend your commerce data model to meet real business needs. When combined with AI integration and agentic automation, metafields evolve from static storage into dynamic signals that power personalized shopping experiences, streamline operations, and improve analytics. By defining a clear metadata model, automating enrichment and governance, and embedding AI agents where they reduce human effort, organizations get faster launches, fewer errors, and more scalable operations — all of which contribute to measurable business efficiency and a smoother path to digital transformation.\u003c\/p\u003e\n\n\u003c\/body\u003e","published_at":"2024-01-25T17:20:11-06:00","created_at":"2024-01-25T17:20:12-06:00","vendor":"Shopify","type":"Integration","tags":[],"price":0,"price_min":0,"price_max":0,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":47910633832722,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"Shopify Create a Metafield Integration","public_title":null,"options":["Default Title"],"price":0,"weight":0,"compare_at_price":null,"inventory_management":null,"barcode":null,"requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/consultantsinabox.com\/cdn\/shop\/products\/96af6a76e0e1343d23ff658e65c364e0_530d441c-4156-41e1-94d8-9db91496bd82.png?v=1706224812"],"featured_image":"\/\/consultantsinabox.com\/cdn\/shop\/products\/96af6a76e0e1343d23ff658e65c364e0_530d441c-4156-41e1-94d8-9db91496bd82.png?v=1706224812","options":["Title"],"media":[{"alt":"Shopify Logo","id":37270189572370,"position":1,"preview_image":{"aspect_ratio":1.0,"height":1200,"width":1200,"src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/96af6a76e0e1343d23ff658e65c364e0_530d441c-4156-41e1-94d8-9db91496bd82.png?v=1706224812"},"aspect_ratio":1.0,"height":1200,"media_type":"image","src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/96af6a76e0e1343d23ff658e65c364e0_530d441c-4156-41e1-94d8-9db91496bd82.png?v=1706224812","width":1200}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eShopify Create Metafield Integration | Consultants In-A-Box\u003c\/title\u003e\n \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1\"\u003e\n \u003cstyle\u003e\n body {\n font-family: Inter, \"Segoe UI\", Roboto, sans-serif;\n background: #ffffff;\n color: #1f2937;\n line-height: 1.7;\n margin: 0;\n padding: 48px;\n }\n h1 { font-size: 32px; margin-bottom: 16px; }\n h2 { font-size: 22px; margin-top: 32px; }\n p { margin: 12px 0; }\n ul { margin: 12px 0 12px 24px; }\n \/* No link styles: do not create or style anchors *\/\n \u003c\/style\u003e\n\n\n \u003ch1\u003eTurn Shopify Metafields into Business Intelligence and Operational Efficiency\u003c\/h1\u003e\n\n \u003cp\u003eShopify metafields let businesses attach tailored, structured data to products, customers, orders, and collections so the store does more of the work that used to require manual processes. Rather than shoehorning information into generic fields or keeping spreadsheets outside the platform, metafields become a flexible layer of business data that lives alongside your commerce objects.\u003c\/p\u003e\n \u003cp\u003eWhen paired with AI integration and workflow automation, metafields stop being passive storage and start acting as signals: AI agents create, update, and interpret metafields automatically; workflow bots trigger actions when metafields change; and teams get consistent, actionable information everywhere from the storefront to the warehouse. That combination accelerates digital transformation and generates measurable business efficiency.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eAt a high level, a metafield is a named piece of custom data that you attach to a Shopify resource. Think of it as a labeled slot where you store whatever extra information your business needs — special handling instructions for an order, a product’s extended technical specification, a customer preference flag, or a restock date for a SKU.\u003c\/p\u003e\n \u003cp\u003eImplementing metafields for business outcomes involves three practical steps:\n \u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eDefine the model: decide which objects need extra data and design consistent names and types so the data is reliable across systems.\u003c\/li\u003e\n \u003cli\u003ePopulate and sync: use integrations, spreadsheets, or automation to write values into those metafields and keep them up to date.\u003c\/li\u003e\n \u003cli\u003eSurface and act: expose the metafield values where they matter — product pages, customer service tools, fulfillment systems — and trigger follow-up workflows when values change.\u003c\/li\u003e\n \u003c\/ul\u003e\n Permissions and governance matter: metafields are created and managed through Shopify’s integration layer, which enforces authentication and scopes so only authorized apps and services can read or write sensitive business data. Once in place, metafields provide a consistent, reusable source of truth across themes, apps, and internal tools.\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAI integration turns metafields into active business assets rather than passive fields. Agentic automation — smart software agents that take multi-step actions without constant human oversight — can create, enrich, and act on metafields to reduce manual work and improve accuracy.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eAutomated enrichment: AI agents can read supplier spreadsheets, product catalogs, or technical PDFs and populate product metafields with attributes, specifications, or compliance data.\u003c\/li\u003e\n \u003cli\u003eImage-driven tagging: computer vision models analyze product images and automatically write visual attributes into metafields, powering faceted search and better recommendations.\u003c\/li\u003e\n \u003cli\u003eCustomer intelligence: conversational AI captures preferences and updates customer metafields so marketing and support teams have a unified profile to personalize outreach.\u003c\/li\u003e\n \u003cli\u003eOperational orchestration: workflow bots monitor order metafields for flags like “special packaging” or “urgent” and route tasks to the right fulfillment queues or print custom packing slips.\u003c\/li\u003e\n \u003cli\u003eContinuous monitoring: agents scan metafields for anomalies and trigger alerts or corrective workflows, reducing the time between problem detection and resolution.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eEnrich complex product catalogs:\u003c\/strong\u003e A hardware manufacturer uses AI to extract technical specs from datasheets and populate product metafields so product pages show precise, searchable details without manual entry.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003ePersonalized storefronts:\u003c\/strong\u003e Retailers store style preferences or size notes in customer metafields captured through a short onboarding quiz; the storefront and recommendation engine read these fields to surface relevant items.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eSmart order handling:\u003c\/strong\u003e Ecommerce teams add production status and handling instructions to order metafields. Workflow bots watch those fields and automatically update logistics systems or notify packing teams when an order is ready to ship.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eInventory planning and restock automation:\u003c\/strong\u003e Suppliers push restock dates into inventory metafields; agents combine that with sales velocity to trigger purchase orders and update estimated availability on product pages.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eB2B catalog rules:\u003c\/strong\u003e For wholesale customers, metafields store negotiated discounts and order minimums per account, and automated agents ensure pricing rules are applied consistently across channels.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eReturns and warranty tracking:\u003c\/strong\u003e Return reasons and warranty expiry dates live in metafields so customer service workflows and fulfillment have the exact context they need to resolve claims faster.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eAnalytics and reporting enrichment:\u003c\/strong\u003e Marketers and analysts append campaign attribution or SKU-level performance tags to metafields for richer downstream reporting without touching the primary catalog.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eWhen metafields are designed as part of an integrated automation strategy, they deliver practical, measurable improvements across the organization.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eTime savings:\u003c\/strong\u003e Routine data entry and enrichment move from teams into automated workflows, turning hours of manual work into seconds of automated updates.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eFewer errors:\u003c\/strong\u003e Machine-driven population and validation reduce typos and inconsistent naming, improving data quality and the reliability of downstream processes.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eFaster merchandising and launches:\u003c\/strong\u003e New SKUs can be enriched and published at scale because agents populate complex attributes automatically, shortening time-to-market.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eBetter conversion through personalization:\u003c\/strong\u003e Using customer metafields to tailor product displays and recommendations increases relevance and lift in conversion rates.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eScalability:\u003c\/strong\u003e Consistent metadata practices enable teams to support larger catalogs, more SKUs, and more channels without proportionally increasing headcount.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eImproved collaboration:\u003c\/strong\u003e Metafields create a single source of truth shared between merchandising, marketing, support, and operations, removing friction and repeated context switching.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eActionable analytics:\u003c\/strong\u003e Enriched data in metafields feeds BI systems and dashboards with higher-fidelity signals for forecasting, promotion planning, and assortment decisions.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eGovernance and compliance:\u003c\/strong\u003e Structured metadata helps enforce labeling, regulatory disclosures, and warranty tracking consistently across products and markets.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eDesigning a metafield strategy that unlocks value requires more than adding fields — it requires mapping outcomes, automating data flows, and embedding AI where it amplifies impact. Consultants In-A-Box approaches this with a repeatable service model that blends strategy, integration, and managed operations.\u003c\/p\u003e\n \u003cp\u003eTypical engagement steps:\n \u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eDiscovery \u0026amp; outcomes mapping:\u003c\/strong\u003e We work with stakeholders to identify which metafields drive revenue, reduce cost, or speed process, and prioritize a roadmap tied to business KPIs.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eMetadata design:\u003c\/strong\u003e We create a consistent naming convention, data types, and validation rules so metafields are interoperable across themes, apps, and reporting tools.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eAutomation \u0026amp; AI integration:\u003c\/strong\u003e We build AI agents and workflow bots to ingest source data, enrich metafields, and trigger downstream actions — for example, using NLP to extract specs or vision models to tag images.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eSystems integration:\u003c\/strong\u003e We connect ERP, PIM, analytics, and 3PL systems so metafields become the glue that synchronizes commerce operations end to end.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eTesting \u0026amp; rollout:\u003c\/strong\u003e We validate data quality and user experiences, run pilot cohorts, and iterate to ensure the automation behaves predictably at scale.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eTraining \u0026amp; change management:\u003c\/strong\u003e We train teams on the new workflows and provide documentation so merchandising, support, and ops adopt the metafield-driven processes smoothly.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eMonitoring \u0026amp; managed operations:\u003c\/strong\u003e Once live, we monitor agent performance, data integrity, and operational outcomes, making continuous improvements as business needs evolve.\u003c\/li\u003e\n \u003c\/ul\u003e\n The result is a managed, repeatable automation layer that turns custom metadata into reliable business actions rather than isolated fields maintained by spreadsheets.\n\n \u003ch2\u003eSummary\u003c\/h2\u003e\n \u003cp\u003eShopify metafields are a practical, low-friction way to extend your commerce data model to meet real business needs. When combined with AI integration and agentic automation, metafields evolve from static storage into dynamic signals that power personalized shopping experiences, streamline operations, and improve analytics. By defining a clear metadata model, automating enrichment and governance, and embedding AI agents where they reduce human effort, organizations get faster launches, fewer errors, and more scalable operations — all of which contribute to measurable business efficiency and a smoother path to digital transformation.\u003c\/p\u003e\n\n\u003c\/body\u003e"}