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Open-source backend for AI web browsing and data collection.
Pitch

Kryfto delivers a powerful solution for automated data extraction and web crawling, seamlessly integrating with AI agents, IDEs, and workflows. With its advanced stealth capabilities and robust infrastructure, this platform allows for efficient and privacy-conscious browser data collection, making it a valuable tool for developers and enterprises alike.

Description

Kryfto: The Production-Grade Web Data Collection Runtime

Kryfto is an open-source framework designed for automated data extraction, web crawling, and browser session execution. It provides a powerful backend solution for AI agents and workflow engines, facilitating seamless integration through OpenAPI and Model Context Protocol (MCP). This platform enables users to self-host a headless browser fleet at an economical flat rate of $5/month.

Core Features

  • AI Agent Ready: Comes with a built-in Model Context Protocol (MCP) server exposing 42+ tools to enhance AI capabilities in searching, browsing, extracting data, and conducting continuous research on the live web.
  • Advanced Stealth Engine: Incorporates a sophisticated anti-bot layer with 16 rotated User-Agents, ensuring requests mimic organic browser traffic effectively preventing detection by search engines.
  • Zero Trace Privacy: Executes HTTP extractions in-memory without leaving any artifacts in the database, ensuring complete privacy and security of the data.
  • Workflow Engine Native: Supports seamless integration with popular automation tools like n8n, Zapier, and Make through a fully documented OpenAPI specification, making it easy to incorporate into existing workflows.
  • Enterprise Infrastructure: Utilizes Postgres for data persistence, Redis and BullMQ for concurrent job management, and MinIO/S3 for long-term storage of artifacts.
  • SLO Dashboard & Eval Suite: Provides built-in tools for reliability monitoring, offering insights into tool success rates, latency metrics, and performance evaluations on a consistent basis.
  • Continuous Research Agent: Allows for the deployment of autonomous agents that continuously search and monitor specified web pages, providing alerts when changes occur based on pre-defined criteria.

Quickstart Example

Kryfto can be set up effortlessly using Docker Compose, allowing immediate job dispatch to the headless worker fleet:

# Launch the infrastructure
docker compose up -d --build

# Verify the health of the API
curl -H "Authorization: Bearer $KRYFTO_API_TOKEN" http://localhost:8080/v1/healthz

# Create a new extraction job
curl -X POST http://localhost:8080/v1/jobs \
  -H "Authorization: Bearer $KRYFTO_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: demo-example-1" \
  -d '{"url":"https://example.com"}'

To retrieve the extracted data:

curl -H "Authorization: Bearer $KRYFTO_API_TOKEN" \
  http://localhost:8080/v1/jobs/<jobId>/artifacts

Extensive Documentation

Comprehensive documentation covers all features and use cases, including guides for deployment, API usage, security, and integration examples into IDEs like Claude Code and Cursor.

Cost Efficiency

Kryfto proves to be a cost-effective alternative to traditional scraping platforms. With Kryfto, organizations can eliminate expensive API fees often associated with scraping services, opting instead for a robust self-hosted solution that provides unlimited concurrent requests at a fraction of the cost.

Use Cases

Kryfto caters to various applications such as:

  • Automated Market Research & Price Monitoring: Efficiently track competitors’ pricing without risking detection.
  • AI Code Assistance: Keep coding assistants updated with the latest documentation by allowing them to fetch real-time data.
  • Lead Generation Pipelines: Automatically scrape business directories and extract essential contact information.
  • Continuous Documentation Monitoring: Monitor critical API documentation for changes that could affect integrations.

Kryfto represents a comprehensive, scalable solution for web data extraction tailored for developers and organizations looking to leverage automated data collection while maintaining control, privacy, and cost efficiency.

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