🔒 webscraping

[kind ember]

Can anyone help me w a python assignment that involves web scraping to analyze trends over a certain period of time

[cyan flame]

@kind ember

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[grim sleet]

Can you give more details

And what you’ve tried/ what your issue is

[tawdry bolt]

You can try and use Google Trends for this

e.g. https://colab.research.google.com/github/Tanu-N-Prabhu/Python/blob/master/Google_Trends_API.ipynb

[kind ember]

I want to analyze tourism rates in host countries before, during, and after World Cup (in years). I’ve been looking at globaleconomy to look at tourism rates however the specific year doesn’t really show up in the URL. Or I just don’t know how to go about it, coding wise as well

I need to use algorithms/programs in python to scrape the data

[tawdry bolt]

Or just grab existing dataset that's already scraped for you? Not sure if that's allowed?

You can find plenty on Kaggle

https://www.kaggle.com/datasets?search=tourism

[grim sleet]

Well one module that does webscraping is called beautifulsoup

[kind ember]

yea unforunately i'd have to scrape it myself

[tawdry bolt]

ok

[tawdry bolt]

Do you have all of the webpages that you know where you're scraping from?

[kind ember]

im using beautifulsoup as well as requests, but the issue is trouble finding a data source to scrape from

https://www.theglobaleconomy.com/rankings/tourist_arrivals/

this is the one i was planning on using

[tawdry bolt]

only ends at 2020

and doesn't indicate their arrivals before, during and after the world cup

idk myself either

[cyan flame]

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