Course 40 - Web Scraping with Python | Episode 2: From HTTP Basics to URL Hacking
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Course 40 - Web Scraping with Python | Episode 2: From HTTP Basics to URL Hacking
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Description
In this lesson, you’ll learn about: how automated data collection works, the fundamentals of HTTP, and how to build dynamic scraping workflows1. Human vs. Automated Browsing🔹 Human browsing: - Click...
show more- Click links
- Scroll pages
- View images
- Manually extract information
- Send requests to servers
- Download raw HTML
- Parse structured data
- Store results automatically
Scraping is simply doing what humans do—but faster, consistently, and at scale2. The Foundation of the Web: HTTP🔹 Concept:
Hypertext Transfer Protocol (HTTP) is the communication layer of the web🔹 Request–Response Cycle
- Client sends a request
- Server processes it
- Server returns a response
- Identifies the client (browser or script)
- Websites may block unknown or suspicious agents
- Used to retrieve data
- Most common in scraping
- Used to send data
- Required for:
- Login forms
- Search filters
- Submissions
Understanding GET and POST lets you replicate real user actions programmatically3. URL Structure & “URL Hacking”🔹 A URL contains:
- Scheme (https://)
- Host (domain)
- Path
- Query parameters
- Modify parameters to change results
- Access filtered data without UI interaction
- Skip manual navigation
- Directly access datasets
- Automate large-scale queries
- Sends GET/POST requests
- Retrieves page content
- Looping through pages
- Changing filters dynamically
- Scaling data collection
- Build URL with parameters
- Send request using Requests
- Receive HTML response
- Extract required data
- Store for later use
- A passive web user
➡️ into - An automated data engineer
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