[英]String Keyword Searching in Python
我試圖在列表中的任何索引中找到一個關鍵字並獲取該索引。 我使用BeautifulSoup4創建了一個小型的Web刮刀來刮掉小說數據。
由於並非所有的粉絲都列出了類型或字符,甚至更新日期(如果它們是新發布的),所有信息都將在不同的索引中。
因此,我需要搜索,然后說'Words:'並獲取整個字符串的索引,即'Words:1,854'== list [3],或類似的東西,並將其保存為變量words = list [3]稍后調用,以便在以后的正確列中將其放入excel文件中。 這是我當前的刮刀,此刻只設置刮一頁,只是減少“u”的原始值以添加更多要刮的頁面。
import requests
from bs4 import BeautifulSoup
# import time
# from random import randint
# import xlsxwriter
# import urllib3
# from tinydb import TinyDB, Query
total = 0
u = int(1127)
while u < 2000:
u = u+1
url = 'https://www.fanfiction.net/Naruto-Crossovers/1402/0/?&srt=1&lan=1&r=10&p=' + str(u)
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
raw = soup.find_all('div', class_='z-indent z-padtop')
for n in range(len(raw)):
stats = raw[n]
info = stats.div
text = info.text
formatted = text.split(' - ')
print(formatted[1:(len(formatted))])
然后解決方案可能是這樣的(檢查函數find_keyword
)
import requests
from bs4 import BeautifulSoup
# import time
# from random import randint
# import xlsxwriter
# import urllib3
# from tinydb import TinyDB, Query
total = 0
u = int(1127)
results = []
while u < 1130: #decreased u due to testing time
u = u+1
url = 'https://www.fanfiction.net/Naruto-Crossovers/1402/0/?&srt=1&lan=1&r=10&p=' + str(u)
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
raw = soup.find_all('div', class_='z-indent z-padtop')
for n in range(len(raw)):
stats = raw[n]
info = stats.div
text = info.text
formatted = text.split(' - ')
if formatted:
results.append(formatted)
print(results)
# function to search for a keyword
def find_keyword(list, keyword):
results = []
for element in list:
value = ''
for tag in element:
if tag.find(keyword) >= 0:
value = tag
results.append(value)
return(results)
words_list = find_keyword(results, 'Words') #example of how to search and build list for keyword
print(words_list)
This is the code I came up with, it wordks wonderfully. The find function was essential.
# For later use, searches for keywords and adds them to the specified list
def assign_stats(keyword, stat_list):
k = 13
b = 0
t = 0
while k >= 1:
if t == len(formatted):
t = 0
check = formatted[t]
value = check.find(keyword)
if value != -1:
# values = formatted[t]
stat_list.append(check)
b = 1
elif k < 2 and b == 0:
stat_list.append('')
t = t + 1
k = k - 1
# For later use, searches for keywords and adds them to the specified list
def assign_stats_status(keyword, stat_list):
k = 13
b = 0
t = 0
while k >= 1:
if t == len(formatted):
t = 0
check = formatted[t]
value = check.find(keyword)
if value != -1:
# values = formatted[t]
stat_list.append(check)
b = 1
elif k < 2 and b == 0:
stat_list.append('In-Progress')
t = t + 1
k = k - 1
# For later use, searches for specified indexes of story data lists and adds them to specified list
def assign_stats_concrete(index, stat_list):
stat_list.append(formatted[index])
# Searches for keywords/indexes for the specified story stat lists
assign_stats('Words', words)
assign_stats_concrete(2, rating)
assign_stats('English', language)
assign_stats('Chapters', chapters)
assign_stats('Reviews', reviews)
assign_stats('Favs', favorites)
assign_stats('Follows', follows)
assign_stats('Updated', updated)
assign_stats_status('Complete', status)
assign_stats('Published', published)
assign_stats_concrete(1, crossover)
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