Your endlessly configurable crawling companion; now with GPT integration.
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Sign InHorseman is a powerful, cloud-based web crawling and data extraction platform designed to automate the collection of information from websites at scale. Its core value proposition lies in being an endlessly configurable companion that adapts to complex scraping tasks, eliminating the need for manual coding or infrastructure management. By integrating GPT models, it adds a layer of intelligence, allowing the crawler to understand and interact with web content contextually, making it far more capable than traditional static scrapers.
Key features: The platform offers a visual point-and-click interface to define crawling workflows, handle JavaScript-rendered pages, and manage proxies and CAPTCHAs automatically. Specific capabilities include scheduling recurring crawls, extracting structured data into formats like JSON or CSV, and using AI to interpret unstructured text or make decisions during navigation. For example, you can instruct it to crawl an e-commerce site, extract product details and prices, and use GPT to categorize products based on their descriptions without predefined rules.
What sets Horseman apart is its deep LLM integration, which transforms it from a simple data fetcher into an autonomous AI agent. Unlike competitors that primarily rely on XPath or CSS selectors, Horseman can understand natural language instructions to adapt to website layout changes or execute multi-step logical sequences. Technically, it operates as a SaaS solution with a distributed cloud infrastructure, ensuring reliability and speed, and it can integrate with data warehouses, APIs, and automation tools like Zapier for seamless data pipelines.
Ideal for data scientists, market researchers, and business intelligence teams who need to gather competitive intelligence, monitor prices, aggregate news, or generate leads. Specific use cases span across e-commerce for price monitoring, real estate for listing aggregation, finance for tracking market sentiments, and academic research for collecting large datasets from public sources. It is particularly valuable for industries where web data is dynamic and requires intelligent interpretation.
Pricing follows a freemium model with a free tier offering basic crawling limits, while paid plans provide higher volumes and advanced AI features. The Pro plan starts at approximately $29 per month, scaling up to custom Enterprise solutions for large-scale, high-frequency data extraction needs, which can cost several hundred dollars monthly based on usage.