Convert any website into text to create LLM training data

Absolutely! Many organizations use our data scraper to build specialized knowledge bases that power their AI assistants and chatbots. By extracting specific information from your company website, product documentation, support forums, and industry resources, you can create a comprehensive knowledge base that allows your AI assistant to provide accurate, domain-specific responses.
Browse AI's website scraping tools make it easy to keep this knowledge continuously updated, ensuring your AI always has access to the latest information.

Each plan gives a certain number of credits per year or per month. Depending on the number of rows you extract in a task, the screenshots you capture, and whether a site is Premium, each task will cost you from one to several credits.
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With each credit, you can extract 10 rows of data from a page or capture a screenshot.
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For example, if there are 50 products listed on a webpage and you need to extract them, it would take 5 credits. If you extract each product's details as well from its dedicated detail page, that would take an additional 50 credits.

If you monitor these 50 product detail pages for changes checking every 3 days, it would take about 50x(30/3) = 500 credits per month.

There is a small number of sites that require premium proxies or a large volume of files to load. Those sites are marked as Premium and each run on these sites has a minimum credit cost between 2 and 10.When your billing cycle (year or month) ends, your credits will reset.

When your billing cycle (year or month) ends, your credits will reset. Unused credits will also be reset and will not be carried over, unless before the billing cycle ends, the plan is upgraded in which case any unused credits will be added on top of the credits you receive from the upgrade for the duration of the plan to which you have upgraded.

Companies are using our website scraping platform to create AI agents with specialized knowledge and capabilities. For example, financial firms extract real-time market data to power AI investment advisors, e-commerce businesses scrape product information to create AI shopping assistants, and research organizations gather scientific publications to build AI research aids. By combining Browse AI's data extraction with LLMs, these companies create AI agents that can analyze trends, answer specific questions, and provide insights that would be impossible with generic AI models alone.

Yes! Our website scraping tools excel at real-time data collection. You can schedule your data scraper to regularly extract updated information from websites and automatically feed this fresh data to your AI applications.

This ensures your AI systems always have access to current information about market conditions, product details, competitive positioning, or industry news. Many customers use this capability to create AI applications that provide time-sensitive insights or recommendations based on the very latest information available.

LLMs perform better when working with structured, well-organized data rather than raw text from websites. Our data scraper extracts information in a structured format, clearly identifying different data types (prices, dates, specifications, descriptions, etc.) and their relationships.

This structured approach helps your LLMs better understand context, make accurate comparisons, and generate more precise responses. The clean, organized data from our website scraping platform reduces hallucinations and improves the overall quality of AI-generated content.

Absolutely! Our website data scraper offers multiple ways to create automated data pipelines that feed directly into your AI systems. You can use our API to send extracted data to your AI platforms in real-time, set up webhook integrations to trigger AI processes when new data is detected, or use our connections with tools like Zapier and Make.com to create custom workflows. Many enterprises also use our advanced integration capabilities to transform and preprocess the scraped data before it reaches their AI systems.