Python web birden çok sayfayı kazıma
Merriam-Webster web sitesindeki tüm kelimeleri topluyorum .
Z'den başlayarak tüm sayfaları ve içlerindeki tüm sayfaları kazıyıp bir metin dosyasına kaydetmek istiyorum. Yaşadığım sorun, tablonun hepsinden ziyade yalnızca ilk sonucunu almam. Bunun büyük miktarda metin olduğunu biliyorum (yaklaşık 500k) ama bunu kendimi eğitmek için yapıyorum.
KOD:
import requests
from bs4 import BeautifulSoup as bs
URL = 'https://www.merriam-webster.com/browse/dictionary/a/'
page = 1
# for page in range(1, 75):
req = requests.get(URL + str(page))
soup = bs(req.text, 'html.parser')
containers = soup.find('div', attrs={'class', 'entries'})
table = containers.find_all('ul')
for entries in table:
links = entries.find_all('a')
name = links[0].text
print(name)
Şimdi istediğim, bu tablodaki tüm girişleri almak, bunun yerine sadece ilk girişi alıyorum.
Burada sıkışıp kaldım, bu yüzden herhangi bir yardım takdir edilecektir. Teşekkürler
https://www.merriam-webster.com/browse/medical/a-z
https://www.merriam-webster.com/browse/legal/a-z
https://www.merriam-webster.com/browse/dictionary/a-z
https://www.merriam-webster.com/browse/thesaurus/a-z
Yanıtlar
Tüm girişleri almak için şu örneği kullanabilirsiniz:
import requests
from bs4 import BeautifulSoup
url = 'https://www.merriam-webster.com/browse/dictionary/a/'
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
for a in soup.select('.entries a'):
print('{:<30} {}'.format(a.text, 'https://www.merriam-webster.com' + a['href']))
Baskılar:
(a) heaven on earth https://www.merriam-webster.com/dictionary/%28a%29%20heaven%20on%20earth
(a) method in/to one's madness https://www.merriam-webster.com/dictionary/%28a%29%20method%20in%2Fto%20one%27s%20madness
(a) penny for your thoughts https://www.merriam-webster.com/dictionary/%28a%29%20penny%20for%20your%20thoughts
(a) quarter after https://www.merriam-webster.com/dictionary/%28a%29%20quarter%20after
(a) quarter of https://www.merriam-webster.com/dictionary/%28a%29%20quarter%20of
(a) quarter past https://www.merriam-webster.com/dictionary/%28a%29%20quarter%20past
(a) quarter to https://www.merriam-webster.com/dictionary/%28a%29%20quarter%20to
(all) by one's lonesome https://www.merriam-webster.com/dictionary/%28all%29%20by%20one%27s%20lonesome
(all) choked up https://www.merriam-webster.com/dictionary/%28all%29%20choked%20up
(all) for the best https://www.merriam-webster.com/dictionary/%28all%29%20for%20the%20best
(all) in good time https://www.merriam-webster.com/dictionary/%28all%29%20in%20good%20time
...and so on.
Birden çok sayfayı kazımak için:
url = 'https://www.merriam-webster.com/browse/dictionary/a/{}'
for page in range(1, 76):
soup = BeautifulSoup(requests.get(url.format(page)).content, 'html.parser')
for a in soup.select('.entries a'):
print('{:<30} {}'.format(a.text, 'https://www.merriam-webster.com' + a['href']))
DÜZENLE: A'dan Z'ye tüm sayfaları almak için:
import requests
from bs4 import BeautifulSoup
url = 'https://www.merriam-webster.com/browse/dictionary/{}/{}'
for char in range(ord('a'), ord('z')+1):
page = 1
while True:
soup = BeautifulSoup(requests.get(url.format(chr(char), page)).content, 'html.parser')
for a in soup.select('.entries a'):
print('{:<30} {}'.format(a.text, 'https://www.merriam-webster.com' + a['href']))
last_page = soup.select_one('[aria-label="Last"]')['data-page']
if last_page == '':
break
page += 1
DÜZENLEME 2: Dosyaya kaydetmek için:
import requests
from bs4 import BeautifulSoup
url = 'https://www.merriam-webster.com/browse/dictionary/{}/{}'
with open('data.txt', 'w') as f_out:
for char in range(ord('a'), ord('z')+1):
page = 1
while True:
soup = BeautifulSoup(requests.get(url.format(chr(char), page)).content, 'html.parser')
for a in soup.select('.entries a'):
print('{:<30} {}'.format(a.text, 'https://www.merriam-webster.com' + a['href']))
print('{}\t{}'.format(a.text, 'https://www.merriam-webster.com' + a['href']), file=f_out)
last_page = soup.select_one('[aria-label="Last"]')['data-page']
if last_page == '':
break
page += 1
Sanırım başka bir döngüye ihtiyacın var:
for entries in table:
links = entries.find_all('a')
for name in links:
print(name.text)