Case Study
Scrapipy — LLM Scraper
Intelligent scraper using Selenium and LangChain to process large-scale web data.
Scraping speed +65%
Analysis time reduced 75%
Dashboard loads under 2 seconds
99% stable extraction flow
Overview
This intelligent scraper processes 1,000+ web pages per session and generates structured insights using LLM summarization with high accuracy.
Key Features
Scrapes 1,000+ pages per session
LLM extraction 80% accuracy
Interactive Streamlit dashboard
Dynamic JS-rendered content
CSV and Excel export
Insights in under 3 seconds
Challenges
Handling JavaScript-heavy websites required advanced wait strategies and optimized browser automation.
Results & Impact
01Scraping speed +65%
02Analysis time reduced 75%
03Dashboard loads under 2 seconds
0499% stable extraction flow
Tech Stack
PythonSeleniumStreamlitChromium DriverLangChain
Links
By the Numbers
Scraping speed +65%
Analysis time reduced 75%
Dashboard loads under 2 seconds