在BeautifulSoup之后写入csv文件

时间:2014-08-12 22:03:52

标签: python csv web-scraping beautifulsoup

使用BeautifulSoup提取一些文本,然后我想将条目保存到csv文件中。我的代码如下:

for trTag in trTags:
    tdTags = trTag.find("td", class_="result-value")
    tdTags_string = tdTags.get_text(strip=True)
    saveFile = open("some.csv", "a")
    saveFile.write(str(tdTags_string) + ",")
    saveFile.close()

saveFile = open("some.csv", "a")
saveFile.write("\n")
saveFile.close()

除了条目中有逗号(",")之外,它在大部分时间内完成了我想要的操作,它将其视为分隔符并将单个条目拆分为两个不同的单元格(这不是我想要的)。所以我在网上搜索,发现有人建议使用csv模块,我将代码更改为:

for trTag in trTags:
    tdTags = trTag.find("td", class_="result-value")
    tdTags_string = tdTags.get_text(strip=True)
    print tdTags_string

    with open("some.csv", "a") as f:
        writeFile = csv.writer(f)
        writeFile.writerow(tdTags_string)

saveFile = open("some.csv", "a")
saveFile.write("\n")
saveFile.close()

这使情况变得更糟,现在每个字母/数字的字母/数字占据csv文件中的单个单元格。例如,如果条目是" Cat"。 " C"在一个单元格中," a"是下一个细胞," t"是第三个细胞等。

编辑版:

import urllib2
import re
import csv
from bs4 import BeautifulSoup

SomeSiteURL = "https://SomeSite.org/xyz"
OpenSomeSiteURL = urllib2.urlopen(SomeSiteURL)
Soup_SomeSite = BeautifulSoup(OpenSomeSiteURL, "lxml")
OpenSomeSiteURL.close()

# finding name
NameParentTag = Soup_SomeSite.find("tr", class_="result-item highlight-person")
Name = NameParentTag.find("td", class_="result-value-bold").get_text(strip=True)
saveFile = open("SomeSite.csv", "a")
saveFile.write(str(Name) + ",")
saveFile.close()

# finding other info
# <tbody> -> many <tr> -> in each <tr>, extract second <td>
tbodyTags = Soup_SomeSite.find("tbody")
trTags = tbodyTags.find_all("tr", class_="result-item ")

for trTag in trTags:
    tdTags = trTag.find("td", class_="result-value")
    tdTags_string = tdTags.get_text(strip=True)

    with open("SomeSite.csv", "a") as f:
        writeFile = csv.writer(f)
        writeFile.writerow([tdTags_string])

第2版:

placeHolder = []

for trTag in trTags:
    tdTags = trTag.find("td", class_="result-value")
    tdTags_string = tdTags.get_text(strip=True)
    placeHolder.append(tdTags_string)

with open("SomeSite.csv", "a") as f:
    writeFile = csv.writer(f)
    writeFile.writerow(placeHolder)

更新了输出:

u'stuff1'
u'stuff2'
u'stuff3'

输出示例:

u'record1'  u'31 Mar 1901'  u'California'

u'record1'  u'31 Mar 1901'  u'California'

record1     31-Mar-01       California

另一个已编辑的代码(仍然有一个问题 - 跳过下面的一行):

import urllib2
import re
import csv
from bs4 import BeautifulSoup

SomeSiteURL = "https://SomeSite.org/xyz"
OpenSomeSiteURL = urllib2.urlopen(SomeSiteURL)
Soup_SomeSite = BeautifulSoup(OpenSomeSiteURL, "lxml")
OpenSomeSiteURL.close()

# finding name
NameParentTag = Soup_SomeSite.find("tr", class_="result-item highlight-person")
Name = NameParentTag.find("td", class_="result-value-bold").get_text(strip=True)
saveFile = open("SomeSite.csv", "a")
saveFile.write(str(Name) + ",")
saveFile.close()

# finding other info
# <tbody> -> many <tr> -> in each <tr>, extract second <td>
tbodyTags = Soup_SomeSite.find("tbody")
trTags = tbodyTags.find_all("tr", class_="result-item ")

placeHolder = []

for trTag in trTags:
    tdTags = trTag.find("td", class_="result-value")
    tdTags_string = tdTags.get_text(strip=True)
    #print repr(tdTags_string)
    placeHolder.append(tdTags_string.rstrip('\n'))

with open("SomeSite.csv", "a") as f:
    writeFile = csv.writer(f)
    writeFile.writerow(placeHolder)

2 个答案:

答案 0 :(得分:1)

with open("some.csv", "a") as f:
        writeFile = csv.writer(f)
        writeFile.writerow([tdTags_string]) # put in a list

writeFile.writerow将遍历您传入的内容,因此字符串"foo"变为f,o,o三个单独的值,将其包装在list中将阻止此操作,因为编写器将迭代列表不是字符串

你应该打开你的文件一次,而不是每次循环你的文件:

with open("SomeSite.csv", "a") as f:
    writeFile = csv.writer(f)
    for trTag in trTags:
        tdTags = trTag.find("td", class_="result-value")
        tdTags_string = tdTags.get_text(strip=True) # 
        writeFile.writerow([tdTags_string])

答案 1 :(得分:1)

对于最新的跳绳问题,我找到了答案。而不是

with open("SomeSite.csv", "a") as f:
    writeFile = csv.writer(f)
    writeFile.writerow(placeHolder)

使用此:

with open("SomeSite.csv", "ab") as f:
    writeFile = csv.writer(f)
    writeFile.writerow(placeHolder)

来源:https://docs.python.org/3/library/functions.html#open。 &#34; a&#34; mode是追加模式,其中&#34; ab&#34;是一个附加模式,同时打开文件作为二进制文件,解决了跳过一个额外行的问题。

相关问题