Learn to scrape websites in Python in 3 hours

1. 01 Web scraping is just copying and pasting...with style/001 1.1 Intro.mp416.46MB
2. 01 Web scraping is just copying and pasting...with style/002 1.2 Course Outline.mp411.72MB
3. 02 Getting listing information from Airbnb manually/001 2.1 Getting listing information manually.mp488.92MB
4. 02 Getting listing information from Airbnb manually/002 2.2 How websites work.mp4135.37MB
5. 03 Writing code to get information for one listing/001 3.1 Download VSCode to write code in.mp411.82MB
6. 03 Writing code to get information for one listing/002 3.2 Writing our first line of code!.mp485.35MB
7. 03 Writing code to get information for one listing/003 3.3 Python basics.mp479.69MB
8. 03 Writing code to get information for one listing/004 3.4 Documenting the steps for our web scraper.mp4144.21MB
9. 03 Writing code to get information for one listing/005 3.5 Getting html from airbnb.com.mp4158.97MB
10. 03 Writing code to get information for one listing/006 3.6 Getting information for 1 listing.mp4217.87MB
11. 04 Formatting listings data/001 4.1 Formatting listings data.mp413.68MB
12. 04 Formatting listings data/002 4.2 `string`.replace(characters_to_replace, replacement).mp477.86MB
13. 04 Formatting listings data/003 4.3 Replacing unwanted text in scrape_airbnb.py.mp490.12MB
14. 04 Formatting listings data/004 4.4 `string`.split(characters_to_split_on).mp4147.79MB
15. 04 Formatting listings data/005 4.5 Splitting guest_info in scrape_airbnb.py.mp492.9MB
16. 04 Formatting listings data/006 4.6 `string`.strip().mp436.52MB
17. 04 Formatting listings data/007 4.7 Removing leading and trailing spaces in scrape_airbnb.py.mp423.98MB
18. 04 Formatting listings data/008 4.8 Concatenating strings.mp429.6MB
19. 04 Formatting listings data/009 4.9 Updating the link in scrape_airbnb.mp421.8MB
20. 05 Getting data for all listings/001 5.1 Now that we're done with 1 listing, let's get all the listings!.mp439.6MB
21. 05 Getting data for all listings/002 5.2 Using a `for loop` to repeat code.mp484.64MB
22. 05 Getting data for all listings/003 5.3 Adding conditions to for loops.mp4129.49MB
23. 05 Getting data for all listings/004 5.4 Updating scrape_airbnb.py to get the data for all listings.mp475.53MB
24. 06 Saving listings data to spreadsheet/001 6.1 We got all the data, now let's store it somewhere!.mp437.21MB
25. 06 Saving listings data to spreadsheet/002 6.2 Using lists to store data as our code runs.mp4116.23MB
26. 06 Saving listings data to spreadsheet/003 6.3 Adding code to scrape_airbnb.py to store listings info.mp494.66MB
27. 06 Saving listings data to spreadsheet/004 6.4 Using dictionaries to store the data.mp4104.64MB
28. 06 Saving listings data to spreadsheet/005 6.5 Updating scrape_airbnb.py to store info on each listing in a dictionary.mp462.58MB
29. 06 Saving listings data to spreadsheet/006 6.6 Saving listings data into a spreadsheet.mp492.2MB
30. 06 Saving listings data to spreadsheet/025 lists.py713B
31. 07 Getting listings for multiple locations/001 7.1 Now let's get information from multiple search results!.mp49.83MB
32. 07 Getting listings for multiple locations/002 7.2 Updating scrape_airbnb.py to get listings from multiple locations.mp4202.55MB
33. 08 Wrapping it up/001 8.1 That's a wrap.mp439.57MB