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-...
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📧 Business Enquiries: polvivek77@gmail.com
📱 Call/WhatsApp: +91 9422121962
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