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Part of the masterclass
Search-augmented generation with web scraping is one workshop inside Full-stack AI Masterclass: Next.js + Agents + RAG.
See the full path with mentor reviews and a portfolio outcome.
Search the live web, extract article content, and synthesize cited answers with an LLM. One LangGraph pipeline that turns any question into a sourced response users can actually trust.
Engineers are learning here from
Build a research assistant that searches the web with DuckDuckGo, extracts article content with BeautifulSoup, and synthesizes cited answers with an LLM. Orchestrate the pipeline with LangGraph.
Search the web, extract article content with BeautifulSoup, and synthesize cited answers with LLMs, like building a mini Perplexity.
What you'll ship
What you'll learn
Curriculum
The search-augmented pipeline
Understand why retrieval beats pure LLM memory and sketch the research assistant architecture
Search and scrape
Pull fresh web results with DuckDuckGo and extract readable article text with BeautifulSoup
The state machine
Define ResearchState, wire nodes with LangGraph, and stream execution node by node
Synthesis and refinement
Prompt the LLM to emit cited answers, refine for concision, and display the final result with sources
Ship it
Harden the pipeline with rate limit and robots hygiene, swap the LLM provider, and wrap the project
Who it's for
who want to graduate from single prompts to multi-step pipelines
looking for a clean first project that introduces LangGraph without the hype
tired of models that hallucinate facts without sources
FAQ
No. DuckDuckGo search through the duckduckgo-search package is free and requires zero configuration. You only need an LLM API key for synthesis and refinement.
Classic RAG indexes documents you control. This pipeline pulls fresh content from the live web on every query, so it works for questions about things that happened this week.
Yes. The notebook uses langchain-openai, so any OpenAI-compatible endpoint works: OpenAI, OpenRouter, a local vLLM server, or Together AI. Change the env var and the base URL.
The pipeline extracts content politely with realistic headers, a short timeout, and a cap on pages fetched per query. We also discuss robots.txt and rate limit hygiene in the shipping phase.
Search-augmented generation is the pattern every serious AI product uses. Learn it end to end.