#practicalpython kết quả tìm kiếm
I created a script to fingerprint webpage templates based on common elements. Why? To extract content from pages that seem similar (e.g. /blog) but use different templates. [See screenshot] Grouping like this means I can properly setup extractors across pages. #practicalpython
![LeeFootSEO's tweet image. I created a script to fingerprint webpage templates based on common elements.
Why? To extract content from pages that seem similar (e.g. /blog) but use different templates.
[See screenshot]
Grouping like this means I can properly setup extractors across pages. #practicalpython](https://pbs.twimg.com/media/GYLTNHJWMAAyvuD.png)
Trying to scrape JS button links and the CTA on a site with multiple templates / inconsistant classes and getting nowhere fast. Until I noticed all the buttons are the same colour, so I setup a scrape based on the colour hex using Selenium. 🤓 It's spot on. #PracticalPython
Practical Python Programming. A course by @dabeaz 👍🏿🐍 ow.ly/Xwp250zVZJ4 #python #pythoncourse #practicalpython #workingwithdata
Trying to scrape JS button links and the CTA on a site with multiple templates / inconsistant classes and getting nowhere fast. Until I noticed all the buttons are the same colour, so I setup a scrape based on the colour hex using Selenium. 🤓 It's spot on. #PracticalPython
I created a script to fingerprint webpage templates based on common elements. Why? To extract content from pages that seem similar (e.g. /blog) but use different templates. [See screenshot] Grouping like this means I can properly setup extractors across pages. #practicalpython
Practical Python Programming. A course by @dabeaz 👍🏿🐍 ow.ly/Xwp250zVZJ4 #python #pythoncourse #practicalpython #workingwithdata
I created a script to fingerprint webpage templates based on common elements. Why? To extract content from pages that seem similar (e.g. /blog) but use different templates. [See screenshot] Grouping like this means I can properly setup extractors across pages. #practicalpython
Something went wrong.
Something went wrong.
United States Trends
- 1. Flacco 86.2K posts
- 2. Bengals 81.2K posts
- 3. Bengals 81.2K posts
- 4. Tomlin 22K posts
- 5. #clubironmouse 3,068 posts
- 6. Ramsey 19.2K posts
- 7. #criticalrolespoilers 8,187 posts
- 8. Chase 108K posts
- 9. Chase 108K posts
- 10. yeonjun 118K posts
- 11. #WhoDey 6,896 posts
- 12. #WhoDidTheBody 1,613 posts
- 13. #SEVENTEEN_NEW_IN_LA 44.8K posts
- 14. Cuomo 85.3K posts
- 15. Teryl Austin 2,819 posts
- 16. Andrew Berry 3,288 posts
- 17. Xenoverse 3 N/A
- 18. Tame Impala 5,603 posts
- 19. Max Scherzer 14.6K posts
- 20. Burrow 9,941 posts