使用 python 抓取多个页面 - 输出问题
Webscrape Multiple Pages with python - output issue
新年快乐python社区,
我正在尝试使用 Python Beautifulsoup4
从网站中提取 table
我很难在输出文件中看到结果。
代码运行顺利但没有写入文件
下面是我的代码
from bs4 import BeautifulSoup as bsoup
import requests as rq
import re
base_url = 'http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value='
r = rq.get(base_url)
soup = bsoup(r.text)
# Use regex to isolate only the links of the page numbers, the one you click on.
page_count_links = soup.find_all("a",href=re.compile(r".http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value=&page=.*"))
try: # Make sure there are more than one page, otherwise, set to 1.
num_pages = int(page_count_links[-1].get_text())
except IndexError:
num_pages = 1
# Add 1 because Python range.
url_list = ["{}&page={}".format(base_url, str(page)) for page in range(1, 3)]
# Open the text file. Use with to save self from grief.
with open("results.txt","wb") as acct:
for url_ in url_list:
print("Processing {}...".format(url_))
r_new = rq.get(url_)
soup_new = bsoup(r_new.text)
for tr in soup_new.find_all('tr', align='center'):
stack = []
for td in tr.findAll('td'):
stack.append(td.text.replace('\n', '').replace('\t', '').strip())
acct.write(", ".join(stack) + '\n')
soup_new.find_all('tr', align='center')
returns 一个空列表
尝试切换 for tr in soup_new.find_all('tr'):
其次,由于您使用的是字符串,请将模式 with open("results.txt","wb")
切换为 with open("results.txt","w")
from bs4 import BeautifulSoup as bsoup
import requests as rq
import re
base_url = 'http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value=&page=2'
r = rq.get(base_url)
soup = bsoup(r.text)
# Use regex to isolate only the links of the page numbers, the one you click on.
page_count_links = soup.find_all("a",href=re.compile(r".http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value=&page=.*"))
try: # Make sure there are more than one page, otherwise, set to 1.
num_pages = int(page_count_links[-1].get_text())
except IndexError:
num_pages = 1
# Add 1 because Python range.
url_list = ["{}&page={}".format(base_url, str(page)) for page in range(1, 3)]
# Open the text file. Use with to save self from grief.
with open("results.txt","w") as acct:
for url_ in url_list:
#url_ = url_list[0]
print("Processing {}...".format(url_))
r_new = rq.get(url_)
soup_new = bsoup(r_new.text)
for tr in soup_new.find_all('tr'):
stack = []
for td in tr.findAll('td'):
stack.append(td.text.replace('\n', '').replace('\t', '').strip())
acct.write(", ".join(stack) + '\n')
新年快乐python社区,
我正在尝试使用 Python Beautifulsoup4
从网站中提取 table我很难在输出文件中看到结果。 代码运行顺利但没有写入文件
下面是我的代码
from bs4 import BeautifulSoup as bsoup
import requests as rq
import re
base_url = 'http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value='
r = rq.get(base_url)
soup = bsoup(r.text)
# Use regex to isolate only the links of the page numbers, the one you click on.
page_count_links = soup.find_all("a",href=re.compile(r".http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value=&page=.*"))
try: # Make sure there are more than one page, otherwise, set to 1.
num_pages = int(page_count_links[-1].get_text())
except IndexError:
num_pages = 1
# Add 1 because Python range.
url_list = ["{}&page={}".format(base_url, str(page)) for page in range(1, 3)]
# Open the text file. Use with to save self from grief.
with open("results.txt","wb") as acct:
for url_ in url_list:
print("Processing {}...".format(url_))
r_new = rq.get(url_)
soup_new = bsoup(r_new.text)
for tr in soup_new.find_all('tr', align='center'):
stack = []
for td in tr.findAll('td'):
stack.append(td.text.replace('\n', '').replace('\t', '').strip())
acct.write(", ".join(stack) + '\n')
soup_new.find_all('tr', align='center')
returns 一个空列表
尝试切换 for tr in soup_new.find_all('tr'):
其次,由于您使用的是字符串,请将模式 with open("results.txt","wb")
切换为 with open("results.txt","w")
from bs4 import BeautifulSoup as bsoup
import requests as rq
import re
base_url = 'http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value=&page=2'
r = rq.get(base_url)
soup = bsoup(r.text)
# Use regex to isolate only the links of the page numbers, the one you click on.
page_count_links = soup.find_all("a",href=re.compile(r".http://www.creationdentreprise.sn/rechercher-une-societe?field_rc_societe_value=&field_ninea_societe_value=&denomination=&field_localite_nid=All&field_siege_societe_value=&field_forme_juriduqe_nid=All&field_secteur_nid=All&field_date_crea_societe_value=&page=.*"))
try: # Make sure there are more than one page, otherwise, set to 1.
num_pages = int(page_count_links[-1].get_text())
except IndexError:
num_pages = 1
# Add 1 because Python range.
url_list = ["{}&page={}".format(base_url, str(page)) for page in range(1, 3)]
# Open the text file. Use with to save self from grief.
with open("results.txt","w") as acct:
for url_ in url_list:
#url_ = url_list[0]
print("Processing {}...".format(url_))
r_new = rq.get(url_)
soup_new = bsoup(r_new.text)
for tr in soup_new.find_all('tr'):
stack = []
for td in tr.findAll('td'):
stack.append(td.text.replace('\n', '').replace('\t', '').strip())
acct.write(", ".join(stack) + '\n')