{"id":11,"date":"2026-06-06T16:13:56","date_gmt":"2026-06-06T16:13:56","guid":{"rendered":"https:\/\/webagent.datafymarket.com\/solutions\/webagent-ai-powered-browser-automation\/"},"modified":"2026-06-14T22:44:29","modified_gmt":"2026-06-14T22:44:29","slug":"webagent-ai-powered-browser-automation","status":"publish","type":"page","link":"https:\/\/webagent.datafymarket.com\/solutions\/","title":{"rendered":"WebAgent \u2013 AI-Powered Browser Automation"},"content":{"rendered":"<p><!-- WebAgent Landing Page - Datafy Market | Slate Dark Theme -->\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Inter:wght@300;400;500;600;700;800;900&#038;display=swap\" rel=\"stylesheet\">\n<style>\n\/* \u2500\u2500 RESET & BASE \u2500\u2500 *\/\n.df-landing * { box-sizing: border-box; margin: 0; padding: 0; }\n.df-landing {\n  font-family: 'Inter', -apple-system, sans-serif;\n  background: #0f172a;\n  color: #e2e8f0;\n  -webkit-font-smoothing: antialiased;\n  overflow-x: hidden;\n}<\/p>\n<p>\/* \u2500\u2500 VARIABLES \u2500\u2500 *\/\n.df-landing {\n  --df-bg: #0f172a;\n  --df-surface: rgba(15,23,42,0.85);\n  --df-surface2: rgba(30,41,59,0.7);\n  --df-border: rgba(56,189,248,0.12);\n  --df-primary: #38bdf8;\n  --df-primary-dark: #0284c7;\n  --df-accent: #818cf8;\n  --df-text: #e2e8f0;\n  --df-muted: #94a3b8;\n  --df-glow: rgba(56,189,248,0.15);\n}<\/p>\n<p>\/* \u2500\u2500 ANIMATIONS \u2500\u2500 *\/\n@keyframes df-float { 0%,100%{transform:translateY(0)} 50%{transform:translateY(-12px)} }\n@keyframes df-pulse-glow { 0%,100%{box-shadow:0 0 30px var(--df-glow)} 50%{box-shadow:0 0 60px rgba(56,189,248,0.3)} }\n@keyframes df-slide-up { from{opacity:0;transform:translateY(30px)} to{opacity:1;transform:translateY(0)} }\n@keyframes df-shimmer { 0%{background-position:200% 0} 100%{background-position:-200% 0} }\n@keyframes df-spin-slow { 0%{transform:rotate(0deg)} 100%{transform:rotate(360deg)} }<\/p>\n<p>\/* \u2500\u2500 LAYOUT \u2500\u2500 *\/\n.df-container { max-width: 1160px; margin: 0 auto; padding: 0 24px; }<\/p>\n<p>\/* \u2500\u2500 HERO SECTION \u2500\u2500 *\/\n.df-hero {\n  position: relative;\n  min-height: 96vh;\n  display: flex;\n  align-items: center;\n  overflow: hidden;\n  padding: 80px 0 60px;\n}\n.df-hero::before {\n  content: '';\n  position: absolute;\n  inset: 0;\n  background: radial-gradient(ellipse 80% 60% at 50% -10%, rgba(56,189,248,0.12) 0%, transparent 70%);\n  pointer-events: none;\n}\n.df-hero-grid {\n  position: absolute;\n  inset: 0;\n  background-image:\n    linear-gradient(rgba(56,189,248,0.03) 1px, transparent 1px),\n    linear-gradient(90deg, rgba(56,189,248,0.03) 1px, transparent 1px);\n  background-size: 60px 60px;\n  pointer-events: none;\n}\n.df-hero-content { position: relative; z-index: 2; text-align: center; }\n.df-hero-badge {\n  display: inline-flex;\n  align-items: center;\n  gap: 8px;\n  background: rgba(56,189,248,0.08);\n  border: 1px solid rgba(56,189,248,0.2);\n  border-radius: 100px;\n  padding: 6px 16px;\n  font-size: 12px;\n  font-weight: 600;\n  color: var(--df-primary);\n  text-transform: uppercase;\n  letter-spacing: 0.08em;\n  margin-bottom: 28px;\n  animation: df-slide-up 0.6s ease both;\n}\n.df-hero-badge::before {\n  content: '';\n  width: 6px; height: 6px;\n  border-radius: 50%;\n  background: var(--df-primary);\n  animation: df-pulse-glow 2s infinite;\n}\n.df-hero h1 {\n  font-size: clamp(48px, 7vw, 88px);\n  font-weight: 900;\n  line-height: 1.0;\n  letter-spacing: -0.04em;\n  color: #fff;\n  margin-bottom: 24px;\n  animation: df-slide-up 0.6s ease 0.1s both;\n}\n.df-hero h1 span {\n  background: linear-gradient(135deg, var(--df-primary) 0%, var(--df-accent) 100%);\n  -webkit-background-clip: text;\n  -webkit-text-fill-color: transparent;\n  background-clip: text;\n}\n.df-hero-sub {\n  font-size: clamp(18px, 2vw, 22px);\n  color: var(--df-muted);\n  max-width: 680px;\n  margin: 0 auto 44px;\n  line-height: 1.6;\n  font-weight: 400;\n  animation: df-slide-up 0.6s ease 0.2s both;\n}\n.df-cta-group {\n  display: flex;\n  gap: 16px;\n  justify-content: center;\n  flex-wrap: wrap;\n  animation: df-slide-up 0.6s ease 0.3s both;\n}\n.df-btn-primary {\n  display: inline-flex; align-items: center; gap: 8px;\n  background: linear-gradient(135deg, var(--df-primary), var(--df-primary-dark));\n  color: #fff;\n  font-weight: 700; font-size: 16px;\n  padding: 16px 36px;\n  border-radius: 14px;\n  text-decoration: none;\n  transition: all 0.2s;\n  box-shadow: 0 4px 24px rgba(56,189,248,0.3);\n  letter-spacing: -0.01em;\n}\n.df-btn-primary:hover { transform: translateY(-2px); box-shadow: 0 8px 40px rgba(56,189,248,0.4); color:#fff; }\n.df-btn-outline {\n  display: inline-flex; align-items: center; gap: 8px;\n  background: rgba(255,255,255,0.05);\n  border: 1px solid rgba(255,255,255,0.12);\n  color: var(--df-text);\n  font-weight: 600; font-size: 16px;\n  padding: 16px 36px;\n  border-radius: 14px;\n  text-decoration: none;\n  transition: all 0.2s;\n}\n.df-btn-outline:hover { background: rgba(255,255,255,0.1); border-color: rgba(255,255,255,0.25); color:#fff; transform: translateY(-2px); }<\/p>\n<p>\/* \u2500\u2500 STATS ROW \u2500\u2500 *\/\n.df-stats {\n  display: grid;\n  grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));\n  gap: 20px;\n  margin-top: 80px;\n  animation: df-slide-up 0.6s ease 0.4s both;\n}\n.df-stat {\n  background: rgba(30,41,59,0.5);\n  border: 1px solid var(--df-border);\n  border-radius: 16px;\n  padding: 24px;\n  text-align: center;\n  transition: all 0.2s;\n}\n.df-stat:hover { border-color: rgba(56,189,248,0.3); background: rgba(30,41,59,0.8); }\n.df-stat-num { font-size: 36px; font-weight: 900; color: var(--df-primary); letter-spacing: -0.03em; }\n.df-stat-label { font-size: 13px; color: var(--df-muted); font-weight: 500; margin-top: 4px; }<\/p>\n<p>\/* \u2500\u2500 SECTION BASE \u2500\u2500 *\/\n.df-section { padding: 100px 0; }\n.df-section-label {\n  font-size: 12px; font-weight: 700; color: var(--df-primary);\n  text-transform: uppercase; letter-spacing: 0.12em;\n  margin-bottom: 12px;\n}\n.df-section h2 {\n  font-size: clamp(32px, 4vw, 52px);\n  font-weight: 800; color: #fff;\n  letter-spacing: -0.03em;\n  line-height: 1.1;\n  margin-bottom: 16px;\n}\n.df-section-sub {\n  font-size: 18px; color: var(--df-muted);\n  max-width: 560px; line-height: 1.6;\n}<\/p>\n<p>\/* \u2500\u2500 FEATURES \u2500\u2500 *\/\n.df-features-grid {\n  display: grid;\n  grid-template-columns: repeat(auto-fit, minmax(320px, 1fr));\n  gap: 24px;\n  margin-top: 60px;\n}\n.df-feature-card {\n  background: rgba(15,23,42,0.9);\n  border: 1px solid var(--df-border);\n  border-radius: 24px;\n  padding: 36px;\n  transition: all 0.3s;\n  position: relative;\n  overflow: hidden;\n}\n.df-feature-card::before {\n  content: '';\n  position: absolute;\n  top: 0; left: 0;\n  right: 0; height: 1px;\n  background: linear-gradient(90deg, transparent, rgba(56,189,248,0.4), transparent);\n  opacity: 0;\n  transition: opacity 0.3s;\n}\n.df-feature-card:hover { border-color: rgba(56,189,248,0.3); transform: translateY(-4px); box-shadow: 0 20px 60px rgba(0,0,0,0.4); }\n.df-feature-card:hover::before { opacity: 1; }\n.df-feature-icon {\n  width: 52px; height: 52px;\n  border-radius: 14px;\n  background: rgba(56,189,248,0.1);\n  border: 1px solid rgba(56,189,248,0.2);\n  display: flex; align-items: center; justify-content: center;\n  font-size: 24px;\n  margin-bottom: 20px;\n}\n.df-feature-card h3 { font-size: 20px; font-weight: 700; color: #fff; margin-bottom: 10px; letter-spacing: -0.02em; }\n.df-feature-card p { font-size: 15px; color: var(--df-muted); line-height: 1.6; }<\/p>\n<p>\/* \u2500\u2500 HOW IT WORKS \u2500\u2500 *\/\n.df-how { background: rgba(56,189,248,0.02); }\n.df-steps {\n  display: grid;\n  grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));\n  gap: 0;\n  margin-top: 60px;\n  position: relative;\n}\n.df-steps::before {\n  content: '';\n  position: absolute;\n  top: 28px; left: 15%;\n  right: 15%; height: 1px;\n  background: linear-gradient(90deg, transparent, var(--df-border), transparent);\n}\n.df-step { text-align: center; padding: 0 20px; position: relative; z-index: 1; }\n.df-step-num {\n  width: 56px; height: 56px;\n  border-radius: 50%;\n  background: rgba(56,189,248,0.1);\n  border: 2px solid rgba(56,189,248,0.3);\n  color: var(--df-primary);\n  font-size: 20px; font-weight: 900;\n  display: flex; align-items: center; justify-content: center;\n  margin: 0 auto 20px;\n  transition: all 0.2s;\n}\n.df-step:hover .df-step-num { background: rgba(56,189,248,0.2); transform: scale(1.1); }\n.df-step h3 { font-size: 17px; font-weight: 700; color: #fff; margin-bottom: 8px; }\n.df-step p { font-size: 14px; color: var(--df-muted); line-height: 1.5; }<\/p>\n<p>\/* \u2500\u2500 PRICING \u2500\u2500 *\/\n.df-pricing-grid {\n  display: grid;\n  grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));\n  gap: 24px;\n  margin-top: 60px;\n  align-items: start;\n}\n.df-price-card {\n  background: rgba(15,23,42,0.9);\n  border: 1px solid var(--df-border);\n  border-radius: 24px;\n  padding: 40px;\n  transition: all 0.3s;\n  position: relative;\n}\n.df-price-card.featured {\n  border-color: rgba(56,189,248,0.4);\n  background: rgba(15,23,42,0.98);\n  box-shadow: 0 0 60px rgba(56,189,248,0.08), 0 20px 60px rgba(0,0,0,0.4);\n  transform: scale(1.04);\n}\n.df-price-card.featured::before {\n  content: 'MOST POPULAR';\n  position: absolute;\n  top: -14px; left: 50%;\n  transform: translateX(-50%);\n  background: linear-gradient(135deg, var(--df-primary), var(--df-primary-dark));\n  color: #fff;\n  font-size: 10px; font-weight: 800;\n  padding: 5px 16px;\n  border-radius: 100px;\n  letter-spacing: 0.12em;\n  white-space: nowrap;\n}\n.df-price-card:hover { transform: translateY(-4px); }\n.df-price-card.featured:hover { transform: scale(1.04) translateY(-4px); }\n.df-price-tier { font-size: 13px; font-weight: 700; color: var(--df-primary); text-transform: uppercase; letter-spacing: 0.1em; margin-bottom: 12px; }\n.df-price-amount { font-size: 52px; font-weight: 900; color: #fff; letter-spacing: -0.04em; line-height: 1; margin-bottom: 4px; }\n.df-price-amount span { font-size: 22px; color: var(--df-muted); font-weight: 500; }\n.df-price-period { font-size: 14px; color: var(--df-muted); margin-bottom: 28px; }\n.df-price-features { list-style: none; margin-bottom: 36px; }\n.df-price-features li {\n  display: flex; align-items: flex-start; gap: 10px;\n  font-size: 14px; color: var(--df-muted);\n  padding: 8px 0;\n  border-bottom: 1px solid rgba(255,255,255,0.04);\n}\n.df-price-features li::before { content: '\u2713'; color: var(--df-primary); font-weight: 700; flex-shrink: 0; margin-top: 1px; }\n.df-btn-plan {\n  display: block;\n  text-align: center;\n  padding: 14px;\n  border-radius: 12px;\n  font-weight: 700; font-size: 15px;\n  text-decoration: none;\n  transition: all 0.2s;\n}\n.df-btn-plan.primary { background: linear-gradient(135deg, var(--df-primary), var(--df-primary-dark)); color: #fff; }\n.df-btn-plan.primary:hover { box-shadow: 0 4px 24px rgba(56,189,248,0.4); transform: translateY(-1px); color:#fff; }\n.df-btn-plan.secondary { background: rgba(255,255,255,0.05); border: 1px solid rgba(255,255,255,0.1); color: var(--df-text); }\n.df-btn-plan.secondary:hover { background: rgba(255,255,255,0.08); color:#fff; }<\/p>\n<p>\/* \u2500\u2500 CTA SECTION \u2500\u2500 *\/\n.df-cta-section {\n  padding: 100px 0;\n  position: relative;\n  overflow: hidden;\n}\n.df-cta-section::before {\n  content: '';\n  position: absolute;\n  inset: 0;\n  background: radial-gradient(ellipse 70% 80% at 50% 50%, rgba(56,189,248,0.08) 0%, transparent 70%);\n}\n.df-cta-box {\n  position: relative;\n  background: rgba(30,41,59,0.7);\n  border: 1px solid rgba(56,189,248,0.2);\n  border-radius: 32px;\n  padding: 80px 60px;\n  text-align: center;\n  backdrop-filter: blur(12px);\n}\n.df-cta-box h2 { font-size: clamp(28px, 4vw, 48px); font-weight: 900; color: #fff; letter-spacing: -0.03em; margin-bottom: 16px; }\n.df-cta-box p { font-size: 18px; color: var(--df-muted); margin-bottom: 40px; }<\/p>\n<p>\/* \u2500\u2500 FOOTER \u2500\u2500 *\/\n.df-footer {\n  padding: 40px 0;\n  border-top: 1px solid var(--df-border);\n  display: flex;\n  align-items: center;\n  justify-content: space-between;\n  flex-wrap: wrap;\n  gap: 16px;\n}\n.df-footer-brand { font-size: 16px; font-weight: 700; color: var(--df-primary); }\n.df-footer-copy { font-size: 13px; color: var(--df-muted); }\n<\/style>\n<div class=\"df-landing\">\n<p>  <!-- \u2500\u2500 HERO \u2500\u2500 --><\/p>\n<section class=\"df-hero\">\n<div class=\"df-hero-grid\"><\/div>\n<div class=\"df-container\">\n<div class=\"df-hero-content\">\n<div class=\"df-hero-badge\">\ud83e\udd16 AI Browser Automation \u00b7 Powered by Datafy<\/div>\n<h1>Deploy Your First<br \/><span>AI Web Employee<\/span><br \/>Today<\/h1>\n<p class=\"df-hero-sub\">WebAgent runs complex browser tasks autonomously \u2014 browsing, clicking, extracting data, filling forms \u2014 so your team can focus on what matters.<\/p>\n<div class=\"df-cta-group\">\n          <a href=\"https:\/\/webagent.datafymarket.com\" class=\"df-btn-primary\">\ud83d\ude80 Start Free \u2013 No Credit Card<\/a><br \/>\n          <a href=\"https:\/\/webagent.datafymarket.com\" class=\"df-btn-outline\">\u25b6 Watch Demo<\/a>\n        <\/div>\n<div class=\"df-stats\">\n<div class=\"df-stat\">\n<div class=\"df-stat-num\">100+<\/div>\n<div class=\"df-stat-label\">Concurrent Sessions<\/div>\n<\/div>\n<div class=\"df-stat\">\n<div class=\"df-stat-num\">99.9%<\/div>\n<div class=\"df-stat-label\">Uptime SLA<\/div>\n<\/div>\n<div class=\"df-stat\">\n<div class=\"df-stat-num\">58<\/div>\n<div class=\"df-stat-label\">Built-in AI Abilities<\/div>\n<\/div>\n<div class=\"df-stat\">\n<div class=\"df-stat-num\">GPT+Claude<\/div>\n<div class=\"df-stat-label\">Vision AI Models<\/div>\n<\/div><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p>  <!-- \u2500\u2500 FEATURES \u2500\u2500 --><\/p>\n<section class=\"df-section\" id=\"features\">\n<div class=\"df-container\">\n<div class=\"df-section-label\">Features<\/div>\n<h2>Everything You Need to<br \/>Automate the Web<\/h2>\n<p class=\"df-section-sub\">From simple data extraction to complex multi-step workflows \u2014 WebAgent handles it all autonomously.<\/p>\n<div class=\"df-features-grid\">\n<div class=\"df-feature-card\">\n<div class=\"df-feature-icon\">\ud83e\udd16<\/div>\n<h3>AI Web Employees<\/h3>\n<p>Deploy autonomous agents that see, click, fill, and navigate any website \u2014 exactly like a human, but 24\/7 without breaks or errors.<\/p>\n<\/p><\/div>\n<div class=\"df-feature-card\">\n<div class=\"df-feature-icon\">\ud83e\udde0<\/div>\n<h3>Neural Matrix Workflows<\/h3>\n<p>Visual drag-and-drop workflow builder with AI-powered logic blocks. Conditional branching, loops, and data extraction all in one canvas.<\/p>\n<\/p><\/div>\n<div class=\"df-feature-card\">\n<div class=\"df-feature-icon\">\u26a1<\/div>\n<h3>Unlimited Scale<\/h3>\n<p>Run 100+ concurrent browser sessions simultaneously. Each session is fully isolated with residential proxy support for maximum reliability.<\/p>\n<\/p><\/div>\n<div class=\"df-feature-card\">\n<div class=\"df-feature-icon\">\ud83d\udd2e<\/div>\n<h3>Neural Architect AI<\/h3>\n<p>Built-in AI mentor that analyzes failed runs, suggests fixes, and automatically applies patches. Turn failures into learning in seconds.<\/p>\n<\/p><\/div>\n<div class=\"df-feature-card\">\n<div class=\"df-feature-icon\">\ud83d\uded2<\/div>\n<h3>WooCommerce Native<\/h3>\n<p>Deep integration with WooCommerce for automated order processing, inventory management, and customer data synchronization.<\/p>\n<\/p><\/div>\n<div class=\"df-feature-card\">\n<div class=\"df-feature-icon\">\ud83d\udd10<\/div>\n<h3>Enterprise Security<\/h3>\n<p>SOC2-grade isolation per agent. Encrypted credential vault via Bitwarden integration. GDPR-compliant data handling and audit logs.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p>  <!-- \u2500\u2500 HOW IT WORKS \u2500\u2500 --><\/p>\n<section class=\"df-section df-how\" id=\"how-it-works\">\n<div class=\"df-container\">\n<div class=\"df-section-label\">How It Works<\/div>\n<h2>From Idea to Automation<br \/>in Minutes<\/h2>\n<div class=\"df-steps\">\n<div class=\"df-step\">\n<div class=\"df-step-num\">1<\/div>\n<h3>Describe the Task<\/h3>\n<p>Tell WebAgent what to do in plain language \u2014 or record yourself doing it manually.<\/p>\n<\/p><\/div>\n<div class=\"df-step\">\n<div class=\"df-step-num\">2<\/div>\n<h3>Build the Workflow<\/h3>\n<p>Use the Neural Matrix editor to visually design the automation logic with AI assistance.<\/p>\n<\/p><\/div>\n<div class=\"df-step\">\n<div class=\"df-step-num\">3<\/div>\n<h3>Deploy &#038; Monitor<\/h3>\n<p>Launch agents and watch them work in real time. Get live screenshots and detailed logs.<\/p>\n<\/p><\/div>\n<div class=\"df-step\">\n<div class=\"df-step-num\">4<\/div>\n<h3>Scale Instantly<\/h3>\n<p>Run hundreds of instances in parallel with zero infrastructure management on your end.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p>  <!-- \u2500\u2500 PRICING \u2500\u2500 --><\/p>\n<section class=\"df-section\" id=\"pricing\">\n<div class=\"df-container\">\n<div class=\"df-section-label\">Pricing<\/div>\n<h2>Simple, Transparent Pricing<br \/>in Euros<\/h2>\n<p class=\"df-section-sub\">Start free. Scale as you grow. No hidden fees, no per-seat charges.<\/p>\n<div class=\"df-pricing-grid\">\n<div class=\"df-price-card\">\n<div class=\"df-price-tier\">Free<\/div>\n<div class=\"df-price-amount\">\u20ac0 <span>\/mo<\/span><\/div>\n<div class=\"df-price-period\">Forever free \u00b7 No credit card needed<\/div>\n<ul class=\"df-price-features\">\n<li>5 automation runs\/month<\/li>\n<li>100 AI steps\/day<\/li>\n<li>1 concurrent session<\/li>\n<li>Community support<\/li>\n<li>Basic workflows<\/li>\n<\/ul>\n<p>          <a href=\"https:\/\/webagent.datafymarket.com\" class=\"df-btn-plan secondary\">Get Started Free \u2192<\/a>\n        <\/div>\n<div class=\"df-price-card featured\">\n<div class=\"df-price-tier\">Basic<\/div>\n<div class=\"df-price-amount\">\u20ac29 <span>\/mo<\/span><\/div>\n<div class=\"df-price-period\">Billed monthly \u00b7 Cancel anytime<\/div>\n<ul class=\"df-price-features\">\n<li>100 runs\/month<\/li>\n<li>1,000 AI steps\/day<\/li>\n<li>1 persistent browser session<\/li>\n<li>Email support<\/li>\n<li>Full workflow editor<\/li>\n<li>Credential vault (Bitwarden)<\/li>\n<\/ul>\n<p>          <a href=\"https:\/\/webagent.datafymarket.com\" class=\"df-btn-plan primary\">Start Basic \u2192<\/a>\n        <\/div>\n<div class=\"df-price-card\">\n<div class=\"df-price-tier\">Premium<\/div>\n<div class=\"df-price-amount\">\u20ac99 <span>\/mo<\/span><\/div>\n<div class=\"df-price-period\">Billed monthly \u00b7 Cancel anytime<\/div>\n<ul class=\"df-price-features\">\n<li>1,000 runs\/month<\/li>\n<li>10,000 AI steps\/day<\/li>\n<li>3 concurrent sessions<\/li>\n<li>Priority support<\/li>\n<li>Neural Architect AI analyzer<\/li>\n<li>Custom AI model (GPT-4, Claude, Gemini)<\/li>\n<li>API access + webhooks<\/li>\n<\/ul>\n<p>          <a href=\"https:\/\/webagent.datafymarket.com\" class=\"df-btn-plan secondary\">Go Premium \u2192<\/a>\n        <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p>  <!-- \u2500\u2500 CTA \u2500\u2500 --><\/p>\n<section class=\"df-cta-section\" id=\"get-started\">\n<div class=\"df-container\">\n<div class=\"df-cta-box\">\n<h2>Ready to Deploy Your First<br \/>AI Web Employee?<\/h2>\n<p>Join teams already automating thousands of tasks daily with WebAgent.<br \/>Start free \u2014 upgrade only when you need to.<\/p>\n<p>        <a href=\"https:\/\/webagent.datafymarket.com\" class=\"df-btn-primary\" style=\"display:inline-flex;\">\ud83d\ude80 Launch WebAgent Free<\/a>\n      <\/div>\n<\/p><\/div>\n<\/section>\n<p>  <!-- \u2500\u2500 FOOTER \u2500\u2500 --><\/p>\n<footer style=\"padding:0 24px;\">\n<div class=\"df-container\">\n<div class=\"df-footer\">\n<div class=\"df-footer-brand\">\u26a1 WebAgent by Datafy Market<\/div>\n<div class=\"df-footer-copy\">\u00a9 2026 Datafy Market d.o.o. \u00b7 Slovenia \u00b7 <a href=\"https:\/\/webagent.datafymarket.com\/privacy\" style=\"color:#94a3b8;\">Privacy<\/a> \u00b7 <a href=\"https:\/\/webagent.datafymarket.com\/terms\" style=\"color:#94a3b8;\">Terms<\/a><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/footer>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\ud83e\udd16 AI Browser Automation \u00b7 Powered by Datafy Deploy Your FirstAI Web EmployeeToday WebAgent runs complex browser tasks autonomously \u2014 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