beautifulsoup | 易学教程

Python/BeautifulSoup with JavaScript source

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问题 First of all, I am new to Python and BeautifulSoup. So forgive me if I am using the wrong terminology. I am encountering an issue where when I inspect the element, I was able to find it, but when I go to 'view source', it wasn't there, and it seems that data was pulled via javascript and thus it may be dynamic. My question is thus, how do I incorporate the data(source/elements/tag) that's 'uploaded' by javascript? So far, I have the code below. I wasn't able to get the URL for each 'search'

Beautiful Soup Selector returns an empty list

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问题 So im doing the automate the boring stuff course and im trying to scrape the amazon prices for the automate the boring stuff book, but it is returning an empty string no matter what and as a result an index error occurs at elems[0].text.strip() and i don't know what to do def getAmazonPrice(productUrl): headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:69.0) Gecko/20100101 Firefox/69.0'} # to make the server think its a web browser and not a bot res = requests.get

Beautiful Soup Selector returns an empty list

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一起学爬虫——使用Beautiful Soup爬取网页

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要想学好爬虫，必须把基础打扎实，之前发布了两篇文章，分别是使用XPATH和requests爬取网页，今天的文章是学习Beautiful Soup并通过一个例子来实现如何使用Beautiful Soup爬取网页。什么是Beautiful Soup Beautiful Soup是一款高效的Python网页解析分析工具，可以用于解析HTL和XML文件并从中提取数据。 Beautiful Soup输入文件的默认编码是Unicode，输出文件的编码是UTF-8。 Beautiful Soup具有将输入文件自动补全的功能，如果输入的HTML文件的title标签没有闭合，则在输出的文件中会自动补全</title>，并且还可以将格式混乱的输入文件按照标准的缩进格式输出。 Beautiful Soup要和其他的解析器搭配使用，例如Python标准库中的HTML解析器和其他第三方的lxml解析器，由于lxml解析器速度快、容错能力强，因此一般和Beautiful Soup搭配使用。初始化Beautiful Soup对象的代码： html = ''' <html><title>Hello Beautiful Soup</title><p>Hello</p></html> ''' soup = BeautifulSoup(html,'lxml') 只需把第二个参数写成"lxml

Python爬虫篇（代理IP）--lizaza.cn

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在做网络爬虫的过程中经常会遇到请求次数过多无法访问的现象，这种情况下就可以使用代理IP来解决。但是网上的代理IP要么收费，要么没有API接口。秉着能省则省的原则，自己创建一个代理IP库。废话不多说，直接上代码： 1 import requests 2 from bs4 import BeautifulSoup 3 4 5 # 发送请求 6 def GetInfo(url): 7 headers = { 8 ' User-Agent ' : ' Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36 ' 9 } 10 proxies = { " http " : " https://119.180.173.81:8060 " } 11 response = requests.get(url=url, proxies=proxies, headers= headers) 12 response.encoding = " utf8 " 13 return response.text 14 15 16 # 将数据写入文件 17 def WriteData(): 18 for i in range(100 ): 19

How do I extract table data in pairs using BeautifulSoup?

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问题 My data sample : <table id = "history"> <tr class = "printCol"> <td class="name">Google</td><td class="date">07/11/2001</td><td class="state"> <span>CA</span> </td> </tr> <tr class = "printCol"> <td class="name">Apple</td><td class="date">27/08/2001</td> </tr> <tr class = "printCol"> <td class="name">Microsoft</td><td class="date">01/11/1991</td> </tr> </table> Beautifulsoup code : table = soup.find("table", id = "history") rows = table.findAll('tr') for tr in rows: cols = tr.findAll('td')

Scrape tables into dataframe with BeautifulSoup

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问题 I'm trying to scrape the data from the coins catalog. There is one of the pages. I need to scrape this data into Dataframe So far I have this code: import bs4 as bs import urllib.request import pandas as pd source = urllib.request.urlopen('http://www.gcoins.net/en/catalog/view/45518').read() soup = bs.BeautifulSoup(source,'lxml') table = soup.find('table', attrs={'class':'subs noBorders evenRows'}) table_rows = table.find_all('tr') for tr in table_rows: td = tr.find_all('td') row = [tr.text

新手Python Package安装经验

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windows 64 ,python3.8 安装BeautifulSoup4 pip install BeautifulSoup4 安装Scrapy 先安装Twisted https://www.lfd.uci.edu/~gohlke/pythonlibs/#Twisted 我是64系统，下载了typed_ast‑1.4.1‑cp38‑cp38‑win_amd64.whl，安装的时候报错了，又下载了typed_ast‑1.4.1‑cp38‑cp38‑win32.whl，安装成功了！！下图是两次安装的结果安装的两天命令行，安装成功，可以开心爬虫去 pip install Twisted-20.3.0-cp38-cp38-win32.whl pip install Scrapy ![](https://oscimg.oschina.net/oscnet/up-64d82c99421793780618b4f0b3f775640f7.png) 来源： oschina 链接： https://my.oschina.net/wuxueshi/blog/4255914

Using Find_All function returns an unexpected result set

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问题 I am using python 3.8.2 and bs4 BeautifulSoup. I am trying to find all instances of a tag and have each one listed in the result set, one per row. However the result set that is returned contains more lines than the original scrape of the website. This is because the first row of the result set contains all instances of the tag. The following row contains all instances except the first instance, the third contains all instances except the first and the second and so on and so forth with the

How to Bypass Google Recaptcha while scraping with Requests

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问题 Python code to request the URL: agent = {"User-Agent":'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36'} #using agent to solve the blocking issue response = requests.get('https://www.naukri.com/jobs-in-andhra-pradesh', headers=agent) #making the request to the link Output when printing the html : <!DOCTYPE html> <html> <head> <title>Naukri reCAPTCHA</title> #the title in the actual title of the URL that I am requested for <meta