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So... anyone wanna run a quick scrape to dump the full list? I'd be interested to see how obscure they get.

• mbil 10y ago
  this is easy to do in python if anybody wants to try #!/usr/bin/python import requests from bs4 import BeautifulSoup for g_id in range(76001): base_url = 'https://www.netflix.com/browse/genre/' url = base_url + str(g_id) headers = {'Cookie': '<nf-cookies-copied-from-browser>'} response = requests.get(url, headers=headers) soup = BeautifulSoup(response.text, 'lxml') genre_els = soup.findAll("span", { "class" : "genreTitle" }) if len(genre_els) > 0: print(str(g_id) + ',' + genre_els[0].text)
  • annnnd 10y ago
    No regex? :) It would be interesting to compare the lists based on countries.
  • banku_brougham 10y ago
    seems pretty easy, but on my OSX machine I had to: - install requests - install beautifulsoup4 - still had problems with xml parser in python2.7 - python3 wouldn't recognize the requests version installed - i gave up, looks like I need to take the time to study python web scraping from a book. - >>> quit("ill have to try this later when I have more time")