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Use Cases

Real-world applications and solutions built with WebRobot.

LLM Fine-tuning Datasets

Generate high-quality datasets for training and fine-tuning Large Language Models.

Features:

  • Extract text from public domain sources
  • Clean and normalize data
  • Generate training-ready datasets
  • Support for multiple formats (JSONL, Parquet, CSV)

Example Use Cases:

  • Training domain-specific models
  • Fine-tuning for specific tasks
  • Dataset augmentation

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Price Comparison

Monitor and compare prices across multiple e-commerce sites in real-time.

Features:

  • Multi-site price monitoring
  • Product matching by EAN
  • Price alerts and notifications
  • Historical price tracking

Example Use Cases:

  • E-commerce price monitoring
  • Competitor analysis
  • Price optimization

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Sports Betting

Detect arbitrage opportunities and surebets across multiple bookmakers.

Features:

  • Real-time odds monitoring
  • Surebet detection
  • Multi-bookmaker integration
  • Risk calculation

Example Use Cases:

  • Arbitrage trading
  • Odds comparison
  • Betting strategy optimization

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Real Estate

Analyze property listings, detect duplicates, and identify market opportunities.

Features:

  • Property clustering
  • Duplicate detection
  • Market analysis
  • Price prediction

Example Use Cases:

  • Property portfolio management
  • Market research
  • Investment analysis

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Portfolio Management

Monitor financial markets and generate trading signals.

Features:

  • Real-time market data
  • Sentiment analysis
  • Technical indicators
  • Risk assessment

Example Use Cases:

  • Algorithmic trading
  • Portfolio optimization
  • Risk management

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Custom Solutions

Build your own vertical solution using WebRobot's extensibility features.

Capabilities:

  • Custom plugins
  • Python extensions
  • Attribute resolvers
  • Custom actions

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Released under the MIT License.