Webhound is an AI-driven agent designed to automate the creation of datasets from web searches. It leverages AI to efficiently extract and structure data, catering to users who need custom datasets without manual scraping.
Key Features:
- AI-Powered Data Extraction: Uses AI to intelligently identify and extract relevant information from web pages based on search queries.
- Automated Dataset Building: Streamlines the process of compiling datasets, saving time and resources.
- Search-Backed Datasets: Creates datasets grounded in specific search results, ensuring relevance and accuracy.
Use Cases:
- Market Research: Quickly gather data on market trends, competitor analysis, and customer preferences.
- Lead Generation: Compile lists of potential leads based on specific criteria.
- Content Creation: Generate datasets for training AI models or creating content on specific topics.
- Academic Research: Collect data for research projects from various online sources.
