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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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Consistent Character by fofr
✓ verifiedFreemium
Cloud API to run and deploy open-source ML models; major developer platform.
👁 1.3M/mo♥ 17K
Pricing
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
No public pricing
CPU: $0.000100/sec
Nvidia A100 (80GB) GPU: $0.001400/sec
2x Nvidia A100 (80GB) GPU: $0.002800/sec
4x Nvidia A100 (80GB) GPU: $0.005600/sec
8x Nvidia A100 (80GB) GPU: $0.011200/sec
Nvidia H100 GPU: $0.001525/sec
Nvidia L40S GPU: $0.000975/sec
2x Nvidia L40S GPU: $0.001950/sec
4x Nvidia L40S GPU: $0.003900/sec
8x Nvidia L40S GPU: $0.007800/sec
Nvidia T4 GPU: $0.000225/sec
2x Nvidia H100 GPU: $0.003050/sec
4x Nvidia H100 GPU: $0.006100/sec
8x Nvidia H100 GPU: $0.012200/sec
NVIDIA H200 GPU: $2.30
NVIDIA H100 GPU: $2.00
NVIDIA Blackwell Platforms: Pre-order
NVIDIA H200 GPU (On-demand): $3.50
NVIDIA H100 GPU (On-demand): $2.95
NVIDIA L40S GPU with AMD (On-demand): from $1.82
NVIDIA L40S GPU with Intel (On-demand): from $1.55
No public pricing
Free trial available
Core features
- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Run open-source machine learning models via API
- ✦Fine-tune models with custom data
- ✦Deploy custom models at scale
- ✦Automatic scaling of resources
- ✦Access to thousands of community-contributed models
- ✦Flexible architecture for scaling AI workloads
- ✦Pre-configured NVIDIA GPU accelerators with high-performance InfiniBand
- ✦AI Studio for fine-tuning AI models
- ✦Managed Kubernetes and Slurm-based clusters
- ✦Competitive pricing for NVIDIA GPUs
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
Use cases
- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Generating images from text prompts
- →Generating videos from text prompts
- →Restoring old photos
- →Generating captions for images
- →Fine-tuning models for specific tasks
- →Deploying AI features in applications
- →Fine-tuning open source models into specialized AI solutions
- →Revolutionizing drug discovery, biotechnology, genomics, and healthtech
- →Orchestrating and scaling AI environments using Managed Kubernetes or Slurm
- →Deploying MLflow, PostgreSQL, and Apache Spark with zero maintenance effort
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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