Learn to scrape websites in Python in 3 hours

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Learn to scrape websites in Python in 3 hours 01 Web scraping is just copying and pasting...with style
  • 001 1.1 Intro.en.srt (2.5 KB)
  • 001 1.1 Intro.mp4 (16.5 MB)
  • 002 1.2 Course Outline.en.srt (2.4 KB)
  • 002 1.2 Course Outline.mp4 (11.7 MB)
02 Getting listing information from Airbnb manually
  • 001 2.1 Getting listing information manually.en.srt (10.7 KB)
  • 001 2.1 Getting listing information manually.mp4 (88.9 MB)
  • 002 2.2 How websites work.en.srt (15.8 KB)
  • 002 2.2 How websites work.mp4 (135.4 MB)
  • 003 Manual Web Scraping.xlsx (10.1 KB)
03 Writing code to get information for one listing
  • 001 3.1 Download VSCode to write code in.en.srt (1.6 KB)
  • 001 3.1 Download VSCode to write code in.mp4 (11.8 MB)
  • 002 3.2 Writing our first line of code!.en.srt (9.7 KB)
  • 002 3.2 Writing our first line of code!.mp4 (85.3 MB)
  • 003 3.3 Python basics.en.srt (8.4 KB)
  • 003 3.3 Python basics.mp4 (79.7 MB)
  • 004 3.4 Documenting the steps for our web scraper.en.srt (12.6 KB)
  • 004 3.4 Documenting the steps for our web scraper.mp4 (144.2 MB)
  • 005 3.5 Getting html from airbnb.com.en.srt (16.9 KB)
  • 005 3.5 Getting html from airbnb.com.mp4 (159.0 MB)
  • 006 3.6 Getting information for 1 listing.en.srt (19.6 KB)
  • 006 3.6 Getting information for 1 listing.mp4 (217.9 MB)
04 Formatting listings data
  • 001 4.1 Formatting listings data.en.srt (2.4 KB)
  • 001 4.1 Formatting listings data.mp4 (13.7 MB)
  • 002 4.2 `string`.replace(characters_to_replace, replacement).en.srt (9.5 KB)
  • 002 4.2 `string`.replace(characters_to_replace, replacement).mp4 (77.9 MB)
  • 003 4.3 Replacing unwanted text in scrape_airbnb.py.en.srt (9.0 KB)
  • 003 4.3 Replacing unwanted text in scrape_airbnb.py.mp4 (90.1 MB)
  • 004 4.4 `string`.split(characters_to_split_on).en.srt (15.2 KB)
  • 004 4.4 `string`.split(characters_to_split_on).mp4 (147.8 MB)
  • 005 4.5 Splitting guest_info in scrape_airbnb.py.en.srt (7.0 KB)
  • 005 4.5 Splitting guest_info in scrape_airbnb.py.mp4 (92.9 MB)
  • 006 4.6 `string`.strip().en.srt (4.1 KB)
  • 006 4.6 `string`.strip().mp4 (36.5 MB)
  • 007 4.7 Removing leading and trailing spaces in scrape_airbnb.py.en.srt (2.6 KB)
  • 007 4.7 Removing leading and trailing spaces in scrape_airbnb.py.mp4 (24.0 MB)
  • 008 4.8 Concatenating strings.en.srt (3.5 KB)
  • 008 4.8 Concatenating strings.mp4 (29.6 MB)
  • 009 4.9 Updating the link in scrape_airbnb.en.srt (1.9 KB)
  • 009 4.9 Updating the link in scrape_airbnb.mp4 (21.8 MB)
  • 011 scrape_airbnb.py (2.7 KB)
  • 012 replace_characters.py (0.4 KB)
  • 014 split_strings.py (0.6 KB)
  • 016 remove_spaces.py (0.3 KB)
  • 018 concatenating_strings.py (0.3 KB)
05 Getting data for all listings
  • 001 5.1 Now that we're done with 1 listing, let's get all the listings!.en.srt (5.8 KB)
  • 001 5.1 Now that we're done with 1 listing, let's get all the listings!.mp4 (39.6 MB)
  • 002 5.2 Using a `for loop` to repeat code.en.srt (9.2 KB)
  • 002 5.2 Using a `for loop` to repeat code.mp4 (84.6 MB)
  • 003 5.3 Adding conditions to for loops.en.srt (14.3 KB)
  • 003 5.3 Adding conditions to for loops.mp4 (129.5 MB)
  • 004 5.4 Updating scrape_airbnb.py to get the data for all listings.en.srt (6.7 KB)
  • 004 5.4 Updating scrape_airbnb.py to get the data for all listings.mp4 (75.5 MB)
  • 020 scrape_airbnb.py (4.8 KB)
  • 021 for_loops.py (1.7 KB)
06 Saving listings data to spreadsheet
  • 001 6.1 We got all the data, now let's store it somewhere!.en.srt (5.8 KB)
  • 001 6.1 We got all the data, now let's store it somewhere!.mp4 (37.2 MB)
  • 002 6.2 Using lists to store data as our code runs.en.srt (13.3 KB)
  • 002 6.2 Using lists to store data as our code runs.mp4 (116.2 MB)
  • 003 6.3 Adding code to scrape_airbnb.py to store listings info.en.srt (8.2 KB)
  • 003 6.3 Adding code to scrape_airbnb.py to store listings info.mp4 (94.7 MB)
  • 004 6.4 Using dictionaries to store the data.en.srt (13.8 KB)
  • 004 6.4 Using dictionaries to store the data.mp4 (104.6 MB)
  • 005 6.5 Updating scrape_airbnb.py to store info on each listing in a dictionary.en.srt (4.7 KB)
  • 005 6.5 Updating scrape_airbnb.py to store info on each listing in a dictionary.mp4 (62.6 MB)
  • 006 6.6 Saving listings data into a spreadsheet.en.srt (10.3 KB)
  • 006 6.6 Saving listings data into a spreadsheet.mp4 (92.2 MB)
  • 024 scrape_airbnb.py (5.4 KB)
  • 025 lists.py (0.7 KB)
  • 027 dictionaries.py (0.5 KB)
07 Getting listings for multiple locations
  • 001 7.1 Now let's get information from multiple search results!.en.srt (1.3 KB)
  • 001 7.1 Now let's get information from multiple search results!.mp4 (9.8 MB)
  • 002 7.2 Updating scrape_airbnb.py to get listings from multiple locations.en.srt (16.6 KB)
  • 002 7.2 Updating scrape_airbnb.py to get listings from multiple locations.mp4 (202.5 MB)
  • 030 scrape_airbnb.py (6.9 KB)
08 Wrapping it up
  • 001 8.1 That's a wrap.en.srt (5.7 KB)
  • 001 8.1 That's a wrap.mp4 (39.6 MB)
  • 032 Web Scraping.pptx (8.5 MB)
  • 032 scrape_airbnb.py (8.0 KB)
  • !!! More Courses !!!.txt (1.1 KB)
  • logo.jpg (72.1 KB)

Description


Learn to scrape websites in Python in 3 hours
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 32 lectures (3h 5m) | Size: 2.5 GB
Learn to scrape listings from airbnb using Python, then apply your code to scrape any website

Learn to scrape websites by scraping Airbnb

Nope! 0 coding experience required

What you'll learn:

- Go from zero coding knowledge to building a web scraper in just a few hours!

- Scrape listings from Airbnb and learn to apply code to scrape any website you like

- Learn critical Python skills like data structuring, formatting, loops, and storing data

Testimonials:

'No code is a superpower, but combining with a bit of code (Python in this case) takes things next level. Matt's one of the best teachers I know and explains complex topics in an easy to understand way. Each course is easily worth 5-10x the value he charges. Highly recommend checking it out!' -Seth, Founder of No Code MBA

'Very well-structured and approachable way to gain an initial understanding of Python. For the past 6-months or so I have been planning to dive into a self-taught Python course which is many hours long & daunting. Once I came across your course I felt it was a great way to spend an hour or so to cover the basic aspects but also walk away with a completed activity. So thank you for creating this course!' -Mike

'I'm loving this course! It's broken down amazingly well and I'm learning way more than I have in any other coding course I've taken.' -Lucas

Bner Python students looking to learn to scrape websites



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Learn to scrape websites in Python in 3 hours


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