# Course 40 - Web Scraping with Python | Episode 17: Mastering Requests, Regex, and Beautiful Soup

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Podcast: [CyberCode Academy](https://stenobird.com/podcast/cybercode-academy-7578615)
Published: 2026-07-27T06:00:02+00:00
Episode link: https://www.spreaker.com/episode/course-40-web-scraping-with-python-episode-17-mastering-requests-regex-and-beautiful-soup--72756892
Audio file: https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72756892/python_web_scraping_with_beautifulsoup_and_regex.mp3
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Duration seconds: 1279

## Resource

In this lesson, you’ll learn about: how Python retrieves web pages, how regex is used for pattern-based extraction, and how BeautifulSoup improves scraping by understanding HTML structure instead of treating it as plain text1. Fetching Web Content in Python🔹 HTTP Request FlowWeb scraping always starts with getting the page content.🔹 Libraries Used urllib → built-in, basic control httplib2 → low-level control requests → easiest and most popular 🔹 Requests Exampleimport requests response = requests.get("https://example.com") html = response.text 🔹 User-Agent HandlingSome sites block bots, so you can:headers = {"User-Agent": "Mozilla/5.0"} requests.get(url, headers=headers) 👉 Key Insight Without proper headers, many sites will reject your scraper2. Regular Expressions (Regex Basics)🔹 Pattern Matching ConceptRegex treats web data as raw text patterns.3. Core Regex FunctionsFunctionBehaviormatch()checks start onlysearch()finds first match anywherefindall()returns all matches🔹 Special SymbolsSymbolMeaning\ddigits\wletters + numbers\swhitespace🔹 Example Patternimport re re.findall(r"\d+", "Price is 123 dollars") 👉 Key Insight Regex is powerful but fragile for HTML4. Advanced Regex Techniques🔹 Ranges & Groups [A-Z] → uppercase letters {3} → exact repetition ( ) → capture groups 🔹 Example: Extract Namesre.search(r"(\w+) (\w+)", "John Smith") 5. Real Web Scraping Use Cases🔹 Inspecting HTMLUsing browser tools, you can locate: items , headers contact details location data 🔹 Example Targets Phone numbers Zip codes City/state data 6. BeautifulSoup (Structured Parsing)🔹 DOM-Based ApproachBeautifulSoup understands HTML as a tree structure, not text.🔹 Basic Usagefrom bs4 import BeautifulSoup soup = BeautifulSoup(html, "lxml") print(soup.title.string) 🔹 Key Advantage Navigates tags…

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