我正在尝试在网页上下载并压缩特定zip文件的内容。
该网页具有标签和指向使用表结构的zip文件的链接,如下所示:
Filename Flag Link
testfile_20190725_csv.zip Y zip
testfile_20190725_xml.zip Y zip
testfile_20190724_csv.zip Y zip
testfile_20190724_xml.zip Y zip
testfile_20190723_csv.zip Y zip
testfile_20190723_xml.zip Y zip
(etc.)
上方的“ zip”一词是指向zip文件的链接。 我只想下载CSV压缩文件,而只下载页面上显示的前一个x(例如7),而不下载XML压缩文件。
此处是网页代码的示例:
<tr>
<td class="labelOptional_ind">
testfile_20190725_csv.zip
</td>
</td>
<td class="labelOptional" width="15%">
<div align="center">
Y
</div>
</td>
<td class="labelOptional" width="15%">
<div align="center">
<a href="/test1/servlets/mbDownload?doclookupId=671334586">
zip
</a>
</div>
</td>
</tr>
<tr>
<td class="labelOptional_ind">
testfile_20190725_xml.zip
</td>
<td class="labelOptional" width="15%">
<div align="center">
N
</div>
</td>
<td class="labelOptional" width="15%">
<div align="center">
<a href="/test1/servlets/mbDownload?doclookupId=671190392">
zip
</a>
</div>
</td>
</tr>
<tr>
<td class="labelOptional_ind">
testfile_20190724_csv.zip
</td>
<td class="labelOptional" width="15%">
<div align="center">
我想我快到了,但是需要一点帮助。 到目前为止,我能够做的是: 1.检查是否存在本地下载文件夹,如果不存在则创建一个 2.设置BeautifulSoup,从网页上读取所有主要标签(表格的第一列),并读取所有zip链接-即“ a hrefs” 3.为了进行测试,请手动将一个变量设置为标签之一,将另一个变量手动设置为其相应的zip文件链接,下载该文件并传输zip文件的CSV内容
我需要帮助的是: 下载所有主要标签及其对应的链接,然后循环浏览每个标签,跳过任何XML标签/链接,并仅下载/流式传输CSV标签/链接
这是我的代码:
# Read zip files from page, download file, extract and stream output
from io import BytesIO
from zipfile import ZipFile
import urllib.request
import os,sys,requests,csv
from bs4 import BeautifulSoup
# check for download directory existence; create if not there
if not os.path.isdir('f:\\temp\\downloaded'):
os.makedirs('f:\\temp\\downloaded')
# Get labels and zip file download links
mainurl = "http://www.test.com/"
url = "http://www.test.com/thisapp/GetReports.do?Id=12331"
# get page and setup BeautifulSoup
r = requests.get(url)
soup = BeautifulSoup(r.content, "html.parser")
# Get all file labels and filter so only use CSVs
mainlabel = soup.find_all("td", {"class": "labelOptional_ind"})
for td in mainlabel:
if "_csv" in td.text:
print(td.text)
# Get all <a href> urls
for link in soup.find_all('a'):
print(mainurl + link.get('href'))
# QUESTION: HOW CAN I LOOP THROUGH ALL FILE LABELS AND FIND ONLY THE
# CSV LABELS AND THEIR CORRESPONDING ZIP DOWNLOAD LINK, SKIPPING ANY
# XML LABELS/LINKS, THEN LOOP AND EXECUTE THE CODE BELOW FOR EACH,
# REPLACING zipfilename WITH THE MAIN LABEL AND zipurl WITH THE ZIP
# DOWNLOAD LINK?
# Test downloading and streaming
zipfilename = 'testfile_20190725_xml.zip'
zipurl = 'http://www.test.com/thisdownload/servlets/thisDownload?doclookupId=674992379'
outputFilename = "f:\\temp\\downloaded\\" + zipfilename
# Unzip and stream CSV file
url = urllib.request.urlopen(zipurl)
zippedData = url.read()
# Save zip file to disk
print ("Saving to ",outputFilename)
output = open(outputFilename,'wb')
output.write(zippedData)
output.close()
# Unzip and stream CSV file
with ZipFile(BytesIO(zippedData)) as my_zip_file:
for contained_file in my_zip_file.namelist():
with open(("unzipped_and_read_" + contained_file + ".file"), "wb") as output:
for line in my_zip_file.open(contained_file).readlines():
print(line)
答案 0 :(得分:3)
要获取所有必需的链接,可以使用具有自定义功能的find_all()
方法。该函数将搜索带有以<td>
结尾的文本的"csv.zip"
标签。
data
是问题中的HTML代码段:
from bs4 import BeautifulSoup
soup = BeautifulSoup(data, 'html.parser')
for td in soup.find_all(lambda tag: tag.name=='td' and tag.text.strip().endswith('csv.zip')):
link = td.find_next('a')
print(td.get_text(strip=True), link['href'] if link else '')
打印:
testfile_20190725_csv.zip /test1/servlets/mbDownload?doclookupId=671334586
testfile_20190724_csv.zip
答案 1 :(得分:1)
您无需捕获标签和URL的两个单独列表,而是可以捕获整行,检查标签是否为<div v-for="(video, videoIndex) in videos" :key="videoIndex" class="col-3">
<div class="col-12 mb-3 p-0">
<div class="row">
<b-form-checkbox
switch
:id="'video-'+video.id"
:value="video.id"
v-model="checked"
@input="checkboxVal"
unchecked-value="not_accepted"
>
</b-form-checkbox>
</div>
</div>
</div>
,然后使用URL下载。
csv
现在您可以使用以下方法测试标签并下载文件:
# Using the class name to identify the correct labels
mainlabel = soup.find_all("td", {"class": "labelOptional_ind"})
# find the containing row <tr> for each label
fullrows = [label.find_parent('tr') for label in mainlabel]