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Pricing
Free: $0 /month
Solo: $35 /month
Startup: $499 /month
Advanced: $1,499 /month
Enterprise: from $2,999 /month
Unlocker API: Starts from $1.05/1k req
Crawl API: Starts from $1.05/1k req
SERP API: Starts from $1.05/1k req
Browser API: Starts from $5.88/GB
Scrapers: Starts from $300/mo
Datasets: Starts from $250/mo
Functions: Starts from $2.7/1k req
RetailInsights: Starts from $1,000/mo
Residential Proxies: Starts from $3.53/GB
Datacenter Proxies: Starts from $0.9/IP
ISP Proxies: Starts from $1.3/IP
Mobile Proxies: Starts from $5.88/GB
Custom Scraper: Starts from $300/mo
No public pricing
No public pricing
Core features
- ✦AI Demo Automation (AI-gen content, translation, voiceover, avatars)
- ✦Interactive Demo Creation (Screenshot & HTML-based capture)
- ✦No-code Editor for Customization and Personalization
- ✦Advanced Analytics & Insights
- ✦Sandbox & Demo Center Environments
- ✦Extensive Integrations with Business Tools
- ✦Multi-engine support (Google, Duckduckgo, Bing, Yandex, Baidu)
- ✦Real-time structured SERP data
- ✦Pay-per-successful-request pricing
- ✦Full JavaScript support
- ✦Precise geo-location targeting
- ✦Structured data delivery in JSON or HTML
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
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Use cases
- →Product Marketing: Boost product adoption and generate qualified leads.
- →Pre-Sales & Sales: Craft and customize demos to close more deals.
- →Customer Success: Reduce support tickets and boost user retention.
- →Product Team: Validate product ideas and share updates effectively.
- →Partnership Team: Educate affiliates and manage demo assets.
- →Onboarding & Training: Foster quicker understanding and reduce onboarding time.
- →Organic keyword tracking
- →Brand protection
- →Price comparison
- →Market research
- →Detect copyright infringements
- →Ad intelligence
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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