beautifulsoup

Can't scrape names from next pages using requests

由 ☆樱花仙子☆ 提交于 2020-03-03 11:48:20
问题 I'm trying to parse names traversing multiple pages from a webpage using a python script. With my current attempt I can get the names from it's landing page. However, I can't find any idea to fetch the names from next pages as well using requests and BeautifulSoup. website link My attempt so far: import requests from bs4 import BeautifulSoup url = "https://proximity.niceic.com/mainform.aspx?PostCode=YO95" with requests.Session() as s: r = s.get(url) soup = BeautifulSoup(r.text,"lxml") for

How to get rid of the BeautifulSoup html parser error when I'm not using BeautifulSoup

由 情到浓时终转凉″ 提交于 2020-03-03 08:49:10
问题 I'm going to be making a dictionary program with a GUI but I fell at the first hurdle. I just installed a module (PyDictionary) but when I run the following code I get an error. from PyDictionary import PyDictionary dictionary = PyDictionary() print(dictionary.meaning("fish")) Which returns The code that caused this warning is on line 3 of the file Dictionary.py. To get rid of this warning, change code that looks like this: BeautifulSoup(YOUR_MARKUP}) to this: BeautifulSoup(YOUR_MARKUP, "lxml

如何按类别查找元素

由 本小妞迷上赌 提交于 2020-03-02 21:09:37
我在使用Beautifulsoup解析具有“ class”属性的HTML元素时遇到了麻烦。 代码看起来像这样 soup = BeautifulSoup(sdata) mydivs = soup.findAll('div') for div in mydivs: if (div["class"] == "stylelistrow"): print div 脚本完成后的同一行出现错误。 File "./beautifulcoding.py", line 130, in getlanguage if (div["class"] == "stylelistrow"): File "/usr/local/lib/python2.6/dist-packages/BeautifulSoup.py", line 599, in __getitem__ return self._getAttrMap()[key] KeyError: 'class' 我如何摆脱这个错误？ #1楼 直接的方法是： soup = BeautifulSoup(sdata) for each_div in soup.findAll('div',{'class':'stylelist'}): print each_div 确保使用 findAll 的大小写，而不是 findall 的大小写 #2楼 这对我有用： for div

Scrape Highcharts data to CSV file

由 删除回忆录丶 提交于 2020-02-29 07:51:43
问题 I want to scrape historical data of specific coins from the CoinMarketCap website using Python. I want as granular data as possible. I think the data comes from the following string : I want to use BeautifulSoup to get this data and save it to a CSV file, but I have no clue how. 回答1: It seems it uses JavaScript which use url https://graphs.coinmarketcap.com/currencies/verge/1513624444000/1514229244000/ to get data as JOSN so you can easily get it as python dictionary EDIT: it uses timestamp

Scrape Highcharts data to CSV file

由 北城余情 提交于 2020-02-29 07:50:38
问题 I want to scrape historical data of specific coins from the CoinMarketCap website using Python. I want as granular data as possible. I think the data comes from the following string : I want to use BeautifulSoup to get this data and save it to a CSV file, but I have no clue how. 回答1: It seems it uses JavaScript which use url https://graphs.coinmarketcap.com/currencies/verge/1513624444000/1514229244000/ to get data as JOSN so you can easily get it as python dictionary EDIT: it uses timestamp

Scrape Highcharts data to CSV file

由 ♀尐吖头ヾ 提交于 2020-02-29 07:50:27
问题 I want to scrape historical data of specific coins from the CoinMarketCap website using Python. I want as granular data as possible. I think the data comes from the following string : I want to use BeautifulSoup to get this data and save it to a CSV file, but I have no clue how. 回答1: It seems it uses JavaScript which use url https://graphs.coinmarketcap.com/currencies/verge/1513624444000/1514229244000/ to get data as JOSN so you can easily get it as python dictionary EDIT: it uses timestamp

Beautiful Soup AssertionError

由 隐身守侯 提交于 2020-02-25 13:19:53
问题 I am trying to scrape this website into a .CSV and I am getting an error that says: AssertionError: 9 columns passed, passed data had 30 columns . My code is below, it is a little messy because I exported from Jupyter Notebook. from urllib.request import Request, urlopen from bs4 import BeautifulSoup as soup import pandas as pd url = 'https://apps.azsos.gov/apps/election/cfs/search/CandidateSearch.aspx' req = Request(url , headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() soup

Beautiful Soup AssertionError

由 ぃ、小莉子 提交于 2020-02-25 13:19:22
问题 I am trying to scrape this website into a .CSV and I am getting an error that says: AssertionError: 9 columns passed, passed data had 30 columns . My code is below, it is a little messy because I exported from Jupyter Notebook. from urllib.request import Request, urlopen from bs4 import BeautifulSoup as soup import pandas as pd url = 'https://apps.azsos.gov/apps/election/cfs/search/CandidateSearch.aspx' req = Request(url , headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() soup

Beautiful Soup AssertionError

由 与世无争的帅哥 提交于 2020-02-25 13:18:32
问题 I am trying to scrape this website into a .CSV and I am getting an error that says: AssertionError: 9 columns passed, passed data had 30 columns . My code is below, it is a little messy because I exported from Jupyter Notebook. from urllib.request import Request, urlopen from bs4 import BeautifulSoup as soup import pandas as pd url = 'https://apps.azsos.gov/apps/election/cfs/search/CandidateSearch.aspx' req = Request(url , headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() soup

Beautiful Soup AssertionError

由 |▌冷眼眸甩不掉的悲伤 提交于 2020-02-25 13:18:25
问题 I am trying to scrape this website into a .CSV and I am getting an error that says: AssertionError: 9 columns passed, passed data had 30 columns . My code is below, it is a little messy because I exported from Jupyter Notebook. from urllib.request import Request, urlopen from bs4 import BeautifulSoup as soup import pandas as pd url = 'https://apps.azsos.gov/apps/election/cfs/search/CandidateSearch.aspx' req = Request(url , headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() soup
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