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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Apify
✓ verifiedFreemium
Full-stack platform for web scraping, data extraction, and automation; category leader.
👁 4.4M/mo♥ 2.0K
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Kiro AI
✓ verifiedFreemium
Kiro spec-driven AI IDE from prototype to production; notable AWS-backed dev product.
👁 3.8M/mo
Pricing
Marketing Hub Professional: SGD 1,120 /mo
Marketing Hub Enterprise: SGD 5,100 /mo
No public pricing
Starter: €20/mo (2.5K workflow executions)
Pro: €50/mo (10K executions)
Business: €667/mo (40K executions)
Free trial available
Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)
Free trial available
KIRO FREE: $0 /mo. per user
KIRO PRO: $19 /mo. per user
KIRO PRO+: $39 /mo. per user
Core features
- ✦CRM
- ✦Marketing Automation
- ✦Sales Automation
- ✦Customer Service Tools
- ✦Content Management
- ✦Operations Management
- ✦B2B Commerce Tools
- ✦AI-powered features
- ✦Email Marketing
- ✦SMS Marketing
- ✦Mobile Push Notifications
- ✦Customer Data Platform (CDP)
- ✦Product Reviews Collection
- ✦Segmentation
- ✦Automated Flows
- ✦AI-powered content generation
- ✦Predictive Analytics and Benchmarks
- ✦Real-time data activation
- ✦Flexible AI workflow automation
- ✦Combines code and no-code development
- ✦On-premise or cloud hosting options
- ✦Over 500 integrations and custom tool support
- ✦Multi-step AI agent creation
- ✦Self-hosting capability including AI models
- ✦Chat with your own data (e.g., via Slack, Teams)
- ✦Advanced debugging tools (re-run single steps, mock data)
- ✦1700+ workflow templates
- ✦Enterprise-grade security and collaboration features (SSO, Git control, RBAC)
- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
- ✦AI IDE for prototype to production
- ✦Spec-driven development
- ✦Agent hooks for task automation (e.g., generating documentation, unit tests, code optimization)
- ✦Multimodal chat
- ✦Model Context Protocol (MCP) integration for connecting to docs, databases, APIs
- ✦Autopilot mode for autonomous execution of large tasks
- ✦Configurable agent interaction via steering files
- ✦Support for state-of-the-art AI models (Claude Sonnet 3.7, Sonnet 4)
- ✦VS Code compatibility (Open VSX plugins, themes, settings)
- ✦Image input for UI design or architecture guidance
Use cases
- →Generate leads through content, AI, and automation.
- →Automate sales prospecting and engage high-value leads.
- →Scale customer service with an AI customer agent.
- →Create and manage content for your audience.
- →Streamline sales processes and close more deals.
- →Improve customer retention and support at scale.
- →Sending rich, engaging email campaigns with dynamic content and product recommendations.
- →Reaching VIP customers via SMS for two-way conversations.
- →Boosting engagement and retaining mobile app users with perfectly timed notifications.
- →Consolidating and activating customer data to create comprehensive customer profiles.
- →Collecting and showcasing customer-written reviews to build trust and increase sales.
- →Automating marketing workflows and campaigns for personalized customer journeys.
- →Analyzing campaign performance with accurate attribution and reporting.
- →Guiding marketing strategy with AI, predictive analytics, and peer benchmarks.
- →On-boarding new employees for IT operations
- →Enriching security incident tickets for security operations
- →Converting natural language into API calls for DevOps
- →Generating customer insights from reviews for sales teams
- →Automating user management
- →Integrating marketplace data sources
- →Creating AI agent chatbots
- →Scraping and summarizing webpages with AI
- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
- →Building secure file sharing applications from scratch quickly.
- →Creating games without extensive manual coding.
- →Accelerating development from concept to working prototype in a short timeframe (e.g., a weekend).
- →Generating detailed user stories and capturing requirements like a product manager.
- →Automating routine development tasks such as documentation generation, unit testing, and code performance optimization.
- →Implementing complex features on larger codebases with fewer prompts and less repetition.
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