CleverBee: An AI – powered Data Integration Assistant

What is CleverBee?

​CleverBee​​ is an AI-powered online data integration assistant designed to help users conduct research more efficiently by leveraging large language models (LLMs) and web browsing technologies. Built with Python, the tool integrates advanced LLMs such as Claude and Gemini, alongside Playwright for automated web navigation to extract, clean, and format information seamlessly.

Beyond data extraction, CleverBee synthesizes extracted content into comprehensive research reports. It supports multiple LLM providers and offers flexible configuration options to adapt to diverse workflows. The built-in ​​Token Tracker​​ monitors usage and estimates costs, while an ​​SQLite caching mechanism​​ enhances performance and reduces operational expenses.

By combining intelligent automation with resource optimization, CleverBee empowers users to streamline their research processes and maximize productivity.

Key Features

• Interactive Web Interface: An intuitive UI built with Chainlit allows users to input research topics and receive structured outputs.

• Multi-Model Collaboration: Supports multiple LLMs, such as Gemini 2.5 Pro, Gemini 2.5 Flash, and Gemini 2.0 Flash—each responsible for different stages like planning, analysis, and summarization.

• Automated Web Browsing & Scraping: Uses Playwright to automatically navigate web pages, extract HTML content, and convert it to Markdown format for processing.

• Content Cleaning & Summarization: Cleans noisy content and generates clear, concise summaries to improve information clarity and relevance.

• Citation Management & Report Generation: Automatically adds source references in the final output, ensuring traceability and credibility of information.

• Token & Cost Tracking: Monitors usage of LLMs in real-time, providing cost analysis and optimization tips.

• High Configurability: Users can customize settings such as model preferences and tool integrations via the config.yaml file.

Technical Highlights

• Collaborative LLM Architecture: Implements a layered approach where different models handle planning, processing, and summarizing tasks for improved efficiency and accuracy.

• Web Automation & Scraping: Automates browsing and scraping using Playwright, simulating user behavior to gather relevant content from multiple sources.

• Content Processing Pipeline: Extracted content is cleaned and summarized using LLMs, producing informative, digestible reports.

• Reference Management System: Embedded citation mechanism ensures every piece of information is backed by a credible source.

• Resource & Cost Management: Tracks token usage and inference costs in real-time, helping users manage their AI resource budget effectively.

Project Links

• GitHub Repository: https://github.com/SureScaleAI/cleverbee

• Project Homepage: https://cleverb.ee

Application Scenarios

• Academic Research: Assists researchers in collecting and summarizing literature, automatically generating well-cited reports.

• Market Intelligence: Helps businesses analyze trends and competitors by collecting and organizing relevant online data.

• Content Creation: Empowers creators by streamlining content discovery and source organization.

• Education & Training: Aids educators in preparing high-quality teaching materials with properly referenced sources.

• Legal & Policy Analysis: Supports legal professionals in gathering case laws, policies, and legislation with structured summaries.