This content originally appeared on DEV Community and was authored by Nikhil Raikwar
This is a submission for the AI Agents Challenge powered by n8n and Bright Data
What I Built
BrightData Research Assistant (@BrightDataResearch_bot) is an AI-powered research bot designed to instantly fetch, process, and summarize information from across the web. Leveraging Bright Data’s world-class web scraping infrastructure, n8n’s automation platform, and advanced LLMs, it empowers users to get reliable, up-to-date answers on any topic. This solution addresses the challenge of obtaining comprehensive research results in real time, turning any query into actionable insights for academics, business analysts, journalists, and the curious.
Demo
Telegram Bot Handle: (@BrightDataResearch_bot)
Demo Video/Screen Capture: BrightDataResearch_Video
Workflow Visualization:
n8n Workflow
Full workflow JSON: BrightData-Research-Assistant
Key workflow actions:
Telegram Bot Trigger: Listens for user messages and research queries.
Welcome & Acknowledgement: Sends formatted bot intros and status updates.
BrightData Scraper Node: Scrapes and collects relevant web data in response to prompts.
Snapshot Status & Download: Manages and retrieves scraped data snapshots.
Google Gemini: Processes, summarizes, and analyzes extracted content.
Readable Extractor & Summarizer: Generates user-friendly answers, highlights, and summaries.
Telegram Response Generator: Delivers clean, actionable results right in chat.
Technical Implementation
System Instructions: Designed to research, summarize, and deliver results in markdown format. Uses prompt engineering for concise and relevant outputs.
Model Choice: Google Gemini 2.0 for content comprehension and Perplexity API for advanced web search.
Memory: Each query is processed independently for privacy and accuracy; stateless interactions ensure up-to-date responses.
Tools Used:
Bright Data Verified Node (n8n)
Perplexity AI Search API(BrightData Dataset APIs)
Google Gemini Language Model
n8n built-in automation and parsing nodes
Recursive Character Text Splitter for managing large text blocks
Bright Data Verified Node
The workflow utilizes Bright Data’s official n8n node for compliant, real-time web scraping. This node triggers web searches for any user query, retrieves structured data, and formats it for downstream processing. Status checks and error handling ensure robustness, and credits are managed as per Bright Data’s challenge guidelines.
Journey
Building this bot involved:
Integrating Bright Data’s scraping API with n8n’s Telegram bot triggers.
Designing prompt flow for seamless UX, from message receipt to final response.
Engineering error resilience for asynchronous and unpredictable web data.
Tuning LLM parameters for high-quality, concise research summaries.
Overcoming the challenge of scaling and rate-limiting with Bright Data credits and API quotas.
Learning best practices for multi-modal workflows combining scraping, reasoning, and real-time user interaction
This project demonstrates the power of combining real-time web data with advanced AI to deliver innovative research assistance. It highlights how automation platforms like n8n and data infrastructure leaders like Bright Data can unlock new possibilities for AI agents — making information more accessible, accurate, and actionable than ever before.
Developed by 
Nikhil Raikwar
Dev.to Profile: nikhilraikwar
Website: Portfolio
If you want me to add or customize anything else, please let me know!
This content originally appeared on DEV Community and was authored by Nikhil Raikwar