Lære Arbejde med Specifikke Elementer | Afkodning af HTML med Beautiful Soup

Navigering i et HTML-dokument ved hjælp af Python-attributter vil kun hente den første forekomst af et bestemt element. Men hvad nu, hvis du er interesseret i den første forekomst af et element og ikke kender hele stien? I sådanne tilfælde kan du benytte metoden .find(), hvor du angiver tagget (uden < >-parenteser) som en streng. For eksempel kan vi finde det første <div>-element i HTML-dokumentet.


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# Importing libraries
from bs4 import BeautifulSoup
from urllib.request import urlopen

# Reading web page
url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/jesus.html"
page = urlopen(url)
html = page.read().decode("utf-8")

# Reading HTML with BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
print(soup.find("div"))

Derudover kan du hente alle forekomster af et bestemt element ved at anvende metoden .find_all(). Dette vil returnere en liste af forekomster. For eksempel kan vi finde alle <p>-tags i HTML-dokumentet.


              123456789101112
            
# Importing libraries
from bs4 import BeautifulSoup
from urllib.request import urlopen

# Reading web page
url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/jesus.html"
page = urlopen(url)
html = page.read().decode("utf-8")

# Reading HTML with BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
print(soup.find_all("p"))

Du kan også bruge metoden .find_all() til at finde ikke kun én, men flere tags ved at angive en liste af tags. For eksempel kan du indsamle alle <div>- og <title>-elementer.


              12345678910111213
            
# Importing libraries
from bs4 import BeautifulSoup
from urllib.request import urlopen

# Reading web page
url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/page.html"
page = urlopen(url)
html = page.read().decode("utf-8")

# Reading HTML with BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
for el in soup.find_all(["div", "title"]):
  print(el)

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Sektion 2. Kapitel 5

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              123456789101112
            
# Importing libraries
from bs4 import BeautifulSoup
from urllib.request import urlopen

# Reading web page
url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/jesus.html"
page = urlopen(url)
html = page.read().decode("utf-8")

# Reading HTML with BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
print(soup.find("div"))


              123456789101112
            
# Importing libraries
from bs4 import BeautifulSoup
from urllib.request import urlopen

# Reading web page
url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/jesus.html"
page = urlopen(url)
html = page.read().decode("utf-8")

# Reading HTML with BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
print(soup.find_all("p"))

Du kan også bruge metoden .find_all() til at finde ikke kun én, men flere tags ved at angive en liste af tags. For eksempel kan du indsamle alle <div>- og <title>-elementer.


              12345678910111213
            
# Importing libraries
from bs4 import BeautifulSoup
from urllib.request import urlopen

# Reading web page
url = "https://codefinity-content-media.s3.eu-west-1.amazonaws.com/18a4e428-1a0f-44c2-a8ad-244cd9c7985e/page.html"
page = urlopen(url)
html = page.read().decode("utf-8")

# Reading HTML with BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
for el in soup.find_all(["div", "title"]):
  print(el)

Var alt klart?

Tak for dine kommentarer!

Sektion 2. Kapitel 5