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A step-by-step guide and code repository for building an intelligent, autonomous web scraping agent using Python, LangChain, and Selenium.
This project combines web scraping and exploratory data analysis (EDA) on book listings from "Books to Scrape". Scraped 1000 books using Python, cleaned the dataset, and uncovered insights on categories, pricing trends, and availability using Pandas and Seaborn. Part of my Data Analyst portfolio series.
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