Webhound
Webhound is an AI-powered research agent that automatically builds custom datasets and detailed reports from web content through natural language prompts.
https://webhound.ai/?ref=producthunt
Product Information
Updated:Feb 9, 2026
What is Webhound
Webhound is an AI research tool founded in 2023 by Moe Khalil and Theo Schmidt, designed to automate the process of gathering and organizing data from the web. Based in San Francisco and part of Y Combinator's S23 batch, Webhound transforms the traditionally time-consuming task of manual web research into an automated process where users simply describe what information they need in plain English, and the AI handles the rest.
Key Features of Webhound
Webhound is an AI-powered research agent that automates web data collection by transforming unstructured web content into structured datasets through natural language instructions. It can search, extract, and organize information from various web sources, handling everything from basic data gathering to complex multi-source research tasks, while providing verified sources and export options in multiple formats.
AI-Powered Data Collection: Uses natural language processing to understand research requirements and automatically finds, extracts, and organizes relevant information from across the web
Persistent Research Agents: Long-running agents that can conduct research continuously for extended periods, from minutes to days, based on user requirements
Structured Output Options: Delivers results in multiple formats including CSV, JSON, Excel, with options for both detailed reports and structured datasets
Source Verification: Provides audit trails and source verification for all collected data, ensuring transparency and reliability
Use Cases of Webhound
Market Research: Track competitor pricing, features, and customer reviews across multiple platforms to create comprehensive market analysis
Lead Generation: Find and compile potential customer information including contact details, social media presence, and business information
Content Creation: Generate datasets for training AI models or creating content by aggregating information from multiple sources
Competitive Analysis: Create detailed reports on competitors' offerings, pricing strategies, and market positioning
Pros
Saves significant time by automating manual data collection processes
User-friendly interface with natural language input
Flexible output formats with source verification
Cons
Limited to 5 datasets per week in basic version
May require refinement of queries for optimal results
Currently in public beta phase
How to Use Webhound
Access Webhound: Go to webhound.ai or use the special no-signup version at hn.webhound.ai and click 'Continue as Guest'
Define Your Research Need: Write a natural language prompt describing what data you want to collect (e.g., '100 AI/ML YouTubers with 50K-100K subscribers' or 'competitor pricing data')
Set Research Parameters: Set your research budget and specify the output format you want (structured dataset or detailed report)
Let AI Agents Work: Webhound's AI agents will automatically search, extract, and organize the requested information from various web sources
Review Results: Check the collected data which comes with verified sources and links for each data point
Export Data: Export your structured dataset in your preferred format (CSV, JSON, Excel) or view the comprehensive report
Optional: Integrate: If needed, use Webhound's API to integrate the data collection into your existing workflows or tools
Webhound FAQs
Webhound is an AI-powered search tool that automates data collection and builds search-backed datasets from web sources. It uses persistent research agents to gather and verify information, providing outputs as either detailed reports or structured datasets.
Webhound Video
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