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Serper API Web Scraping Tutorial | Google Search API with Python & Streamlit

Vivek Pol

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Serper API Web Scraping Tutorial | Google Search API with Python & Streamlit

37 просмотров · 1 месяц назад
Vivek Pol
359 подписчиков
37 просмотров · 1 месяц назад
🚀 Learn how to use the Serper API to search Google using Python and build a simple Streamlit web application from scratch. In this beginner-friendly tutorial, you'll learn how to integrate the Serper Google Search API, send search requests, retrieve structured JSON results, and display them in a beautiful Streamlit interface. This project is perfect for beginners in Python, AI, RAG, and web search applications. 📌 What you'll learn: ✅ What is Serper API? ✅ Why use Serper instead of Selenium or BeautifulSoup? ✅ Create and configure a Serper API key ✅ Build a Google Search application with Streamlit ✅ Send API requests using Python Requests ✅ Parse JSON responses ✅ Display Google search results ✅ Understand the complete code step by step ✅ Advantages and disadvantages of Serper ✅ Real-world use cases in AI Agents, RAG, Chatbots, and Search Applications 💻 Technologies Used: • Python • Streamlit • Requests • Python-dotenv • Serper API 🔥 Perfect for: • Python Beginners • AI Engineers • Data Engineers • Machine Learning Engineers • RAG Developers • LangChain Developers • LangGraph Developers • Web Scraping Enthusiasts 📂 Project Includes: ✔ requirements.txt ✔ .env configuration ✔ Complete app.py ✔ Step-by-step explanation ✔ Best practices 📬 CONNECT WITH ME: LinkedIn: www.linkedin.com/in/vivekpol Twitter: https://x.com/polvivek77 GitHub: https://github.com/polvivek77/serper-... 🔔 Subscribe and hit the bell icon to get new project videos every week. 📧 Business Enquiries: polvivek77@gmail.com 📱 Call/WhatsApp: +91 9422121962 #Python #SerperAPI #WebScraping #GoogleSearchAPI #Streamlit #AI #RAG #LangChain #LangGraph #PythonTutorial #MachineLearning #DataScience