hackforla · niralishah8539 · Jan 13, 2026 · Jan 13, 2026 · Jan 13, 2026 · Feb 7, 2026
diff --git a/HackForLA_WebScraping_BeautifulSoup.ipynb b/HackForLA_WebScraping_BeautifulSoup.ipynb
diff --git a/HackForLA_WebScraping_Reddit_API.ipynb b/HackForLA_WebScraping_Reddit_API.ipynb
diff --git a/HackForLA_WebScraping_selenium.ipynb b/HackForLA_WebScraping_selenium.ipynb
diff --git a/Web_Scraping_Tutorial.docx b/Web_Scraping_Tutorial.docx
diff --git a/web-scraping/HackForLA_WebScraping_BeautifulSoup.ipynb b/web-scraping/HackForLA_WebScraping_BeautifulSoup.ipynb
diff --git a/web-scraping/HackForLA_WebScraping_Reddit_API.ipynb b/web-scraping/HackForLA_WebScraping_Reddit_API.ipynb
diff --git a/web-scraping/HackForLA_WebScraping_selenium.ipynb b/web-scraping/HackForLA_WebScraping_selenium.ipynb
diff --git a/web-scraping/README.md b/web-scraping/README.md
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+# 1 Introduction
+
+- What Is Web Scraping?
+
+- When to Use Each Scraping Method
+
+- Ethical & Legal Considerations (robots.txt, Terms of Service)
+
+# 2 Prerequisites
+
+- Python Basics
+
+- Installing Required Libraries
+
+- Working with Jupyter Notebooks
+
+- Understanding HTML Structure
+
+# 3 Method 1: Web Scraping with BeautifulSoup
+
+- How Static Websites Work
+
+- Sending HTTP Requests with requests
+
+- Parsing HTML with BeautifulSoup
+
+- Extracting Titles, Prices, Links
+
+- Looping Through Multiple Items
+
+- Converting Output to DataFrame/CSV
+
+# 4 Method 2: Web Scraping with Selenium
+
+- When to Use Selenium
+
+- Launching a Browser Using WebDriver
+
+- Understanding XPath
+
+- Extracting Dynamic Content
+
+- Interacting with Pages (clicking, scrolling)
+
+- Capturing Data and Exporting Results
+
+# 5 Method 3: Using APIs Instead of Scraping (Reddit API with PRAW)
+
+- Why APIs Are Preferred Over Scraping
+
+- Creating a Reddit Developer App
+
+- Authenticating Using PRAW
+
+- Extracting Subreddit Posts & Metadata
+
+- Collecting Comments & Replies
+
+- Exporting API Data
+
+# 6 Data Storage & Cleaning
+
+- Creating CSV Files
+
+- Building DataFrames
+
+- Handling Missing or Inconsistent Fields
+
+# 7 Best Practices
+
+- Avoiding Blocks & Rate Limits
+
+- Choosing Between BeautifulSoup, Selenium, or API
+
+- Error Handling and Logging
+
+- Avoiding Anti-Scraping Protections
+
+# 8 What You Can Build Next (Expand Your Skills)
+
+- Applying Scraping in Real Projects
+
+- Additional Tools & Advanced Techniques
+
+- Next Steps in Data Collection & Automation
+
+# 9 Contributor & Acknowledgements
diff --git a/web-scraping/Web_Scraping_Tutorial.docx b/web-scraping/Web_Scraping_Tutorial.docx