What is kadoa
kadoa is an AI-driven web data scraping tool that uses automation to help users extract unstructured data from websites, enabling data extraction and processing from sources such as websites, PDFs, emails, and presentations without coding. By reducing the time spent on data collection and cleaning, it helps businesses quickly gain actionable insights and drive business growth. With its high accuracy, scalability, and ease of integration, kadoa has become the preferred data extraction tool for many companies worldwide.
kadoa's main features
- Automated data extraction: Uses AI technology to automatically locate and extract the required data from unstructured data sources such as web pages, PDFs, and CSVs.
- No coding required: Provides a no-code environment where users define data schemas and steps to build complex data workflows without writing code.
- Data workflow automation: Supports users in building scalable applications, automating the entire process from data extraction to transformation.
- Adaptive to data source changes: Automatically detects data source changes, access restrictions, or website issues, and adapts to these changes, enabling maintenance-free workflows.
- Data transformation: Automatically transforms extracted data into the format or taxonomy required by users, making the data useful and actionable.
kadoa's official website address
- Official website address：kadoa.com
kadoa's product pricing
- Free Tier: Provides 500 credits.
- Self-Service: Costs $39 per month, providing 25,000 credits/month.
- Enterprise: Custom pricing, supports custom workflow settings, and provides flexible update frequencies.
kadoa's application scenarios
- Financial data and research:Monitor financial markets in real time, extract and analyze financial news and reports, and provide data support for investment decisions.
- Retail intelligence: Monitor product prices and inventory changes on e-commerce platforms, helping retailers with price optimization and inventory management.
- ETL for LLM: Extract text data from web pages and PDFs to provide datasets needed for training and analysis of large language models.
- Job market data: Extract employment information from various career websites and job postings, helping analyze employment trends and market dynamics.
- Media monitoring: Monitor brand mentions in news media and social media, providing real-time data for brand reputation management and crisis public relations.