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Get data from a web page using soup

I wanted to download the data from a page in which the link of each data are found in rows of a table.
I wrote a code using BeautifulSoup to read href of all rows, but it couldn't provide me the links list to download them. I guess it couldn't see table data (td) in each table row (tr).
from bs4 import BeautifulSoup
import urllib.request
testurl = 'https://www.ercot.com/mp/data-products/data-product-details?id=NP3-562-CD'
page = urllib.request.urlopen(testurl)
page_content = BeautifulSoup(page, "html.parser")
table_dt = page_content.find_all("table")
for tt in table_dt.select("tr"):
print(tt)
## print
<tr>
<th>Friendly Name</th>
<th colspan="2">Posted</th>
<th>Available Files</th>
</tr>##
The table shows:
[<table class="table table-condensed report-table" id="reportTable">
<thead>
<tr>
<th>Friendly Name</th>
<th colspan="2">Posted</th>
<th>Available Files</th>
</tr>
</thead>
<tbody>
</tbody>
</table>]
As it can be seen, there is no info for other rows (tr), and it only captures the header row information.
Could you please guide me to get data the link of data for each rows in order to download them?

Most likely, the structure of the table is in the original HTML page, and the row data is retrieved by a Javascript request. If you can figure out what the javacript request is (probably by using your browser's "web developer" tools), you can get it that way.

I cannot crawl HTML text using BeautifulSoup

In my previous question(How to speed up parsing using BeautifulSoup?), I asked the way to crawl HTML website more quickly, and the answer helped me much.
But I encountered another problem. It is about crawling the price of tickets.
I got JSON text in the webpage referring the answer of my previous question. I could get almost every information about festivals in the JSON, such as title, date, location, poster image url, and performers.
But there was no info about pricing, so I tried to get the price in other part of the website.
When I turned on Google Chrome developer mode, there is a table about pricing (It includes Korean, but you don't have to understand it):
<table cellpadding="0" cellspacing="0">
<colgroup>
<col>
<col style="width:20px;">
<col>
</colgroup>
<tbody id="divSalesPrice">
<tr>
<td>2일권(입장권)</td>
<td> </td>
<td class="costTd">
<span>140,000 원</span>
</td>
</tr>
<tr>
<td>1일권(입장권)</td>
<td> </td>
<td class="costTd">
<span>88,000 원</span>
</td>
</tr>
</tbody>
</table>
Numbers in span tag (140000, 80000) are the prices I want to extract. So I thought using Soup will be effective:
from bs4 import BeautifulSoup
import requests
def Soup(content):
soup = BeautifulSoup(content, 'lxml')
return soup
def DetailLink(url):
req = requests.get(url)
soup = Soup(req.content)
spans = soup.findAll('span', class_='fw_bold')
links = [f'{url[:27]}{span.a["href"]}' for span in spans]
return links
def Price():
links = DetailLink('http://ticket.interpark.com/TPGoodsList.asp?Ca=Liv&SubCa=Fes')
with requests.Session() as request:
for link in links:
req = request.get(link)
soup = Soup(req.content)
price = soup.find('tbody', id='divSalesPrice')
print(price)
Price()
However, the result was disappointing...
<tbody id="divSalesPrice">
<!-- 등록된 기본가 가져오기 오류-->
<tr>
<td colspan="3" id="liBasicPrice">
<ul>
</ul>
</td>
</tr>
</tbody>
The comment '등록된 기본가 가져오기 오류' means 'An error occurred while getting the price.'
Is it means that a website operator blocked other users to crawl price info in the page?

Ok, if we look carefully, the price data is not get when you request the page, it's loaded afterwards, that means we need to get the price data from somewhere else.
If you inspect the network section in chrome, there is this strange url:
And it has the data you look for:
Now the only thing you need to do is get the place id and product id. You can get these from homepage as you can see:
The vPC is the location id and vGC is the product id, you can get the product id from url too.
Then this code explains the rest:
import requests, re, json
# Just a random product url, you can adapt the code into yours.
url = "http://ticket.interpark.com/Ticket/Goods/GoodsInfo.asp?GroupCode=20002746"
data = requests.get(url).text
# I used regex to get the matching values `vGC` and `vPC`
vGC = re.search(r"var vGC = \"(\d+)\"", data).groups()[0]
vPC = re.search(r"var vPC = \"(\d+)\"", data).groups()[0]
# Notice that I placed placeholders to use `format`. Placeholders are `{}`.
priceUrl = "http://ticket.interpark.com/Ticket/Goods/GoodsInfoJSON.asp?Flag=SalesPrice&GoodsCode={}&PlaceCode={}"
# Looks like that url needs a referer url and that is the goods page, we will pass it as header.
lastData = requests.get(priceUrl.format(vGC, vPC), headers={"Referer": url}).text
# As the data is a javascript object but inside it is a json object,
# we can remove the callback and parse the inside of callback as json data:
lastData = re.search(r"^Callback\((.*)\);$", lastData).groups()[0]
lastData = json.loads(lastData)["JSON"]
print(lastData)
Output:
[{'DblDiscountOrNot': 'N',
'GoodsName': '뷰티풀 민트 라이프 2020 - 공식 티켓',
'PointDiscountAmt': '0',
'PriceGradeName': '입장권',
'SalesPrice': '140000',
'SeatGradeName': '2일권'},
{'DblDiscountOrNot': 'N',
'GoodsName': '뷰티풀 민트 라이프 2020 - 공식 티켓',
'PointDiscountAmt': '0',
'PriceGradeName': '입장권',
'SalesPrice': '88000',
'SeatGradeName': '1일권'}]

BeautifulSoup4 not able to scrape data from this table

Sorry for this silly question as I'm new to web scraping and have no knowledge about HTML etc.
I'm trying to scrape data from this website. Specifically, from this part/table of the page:
末"四"位数 9775,2275,4775,7275
末"五"位数 03881,23881,43881,63881,83881,16913,66913
末"六"位数 313110,563110,813110,063110
末"七"位数 4210962,9210962,9785582
末"八"位数 63262036
末"九"位数 080876872
I'm sorry that's in Chinese and it looks terrible since I can't embed the picture. However, The table is roughly in the middle(40 percentile from the top) of the page. The table id is 'tr_zqh'.
Here is my source code:
import bs4 as bs
import urllib.request
def scrapezqh(url):
source = urllib.request.urlopen(url).read()
page = bs.BeautifulSoup(source, 'html.parser')
print(page)
url = 'http://data.eastmoney.com/xg/xg/detail/300741.html?tr_zqh=1'
print(scrapezqh(url))
It scrapes most of the table but the part that I'm interested in. Here is a part of what it returns where I think the data should be:
<td class="tdcolor">网下有效申购股数(万股)
</td>
<td class="tdwidth" id="td_wxyxsggs"> 
</td>
</tr>
<tr id="tr_zqh">
<td class="tdtitle" id="td_zqhrowspan">中签号
</td>
<td class="tdcolor">中签号公布日期
</td>
<td class="ltxt" colspan="3"> 2018-02-22 (周四)
</td>
I'd like to get the content of this table: tr id="tr_zqh" (the 6th row above). However for some reason it doesn't scrape its data(No content below). However, when I check the source code of the webpage, the data are in the table. I don't think it is a dynamic table which BeautifulSoup4 can't handle. I've tried both lxml and html parser and I've tried pandas.read_html. It returned the same results. I'd like to get some help to understand why it doesn't get the data and how I can fix it. Many thanks!
Forgot to mention that I tried page.find('tr'), it returned a part of the table but not the lines I'm interested. Page.find('tr') returns the 1st line of the screenshot. I want to get the data of the 2nd & 3rd line(highlighted in the screenshot)

If you extract a couple of variables from the initial page you can use themto make a request to the api directly. Then you get a json object which you can use to get the data.
import requests
import re
import json
from pprint import pprint
s = requests.session()
r = s.get('http://data.eastmoney.com/xg/xg/detail/300741.html?tr_zqh=1')
gdpm = re.search('var gpdm = \'(.*)\'', r.text).group(1)
token = re.search('http://dcfm.eastmoney.com/em_mutisvcexpandinterface/api/js/get\?type=XGSG_ZQH&token=(.*)&st=', r.text).group(1)
url = "http://dcfm.eastmoney.com/em_mutisvcexpandinterface/api/js/get?type=XGSG_ZQH&token=" + token + "&st=LASTFIGURETYPE&sr=1&filter=%28securitycode='" + gdpm + "'%29&js=var%20zqh=%28x%29"
r = s.get(url)
j = json.loads(r.text[8:])
for i in range (len(j)):
print ( j[i]['LOTNUM'])
#pprint(j)
Outputs:
9775,2275,4775,7275
03881,23881,43881,63881,83881,16913,66913
313110,563110,813110,063110
4210962,9210962,9785582
63262036
080876872

From where I look at things your question isn't clear to me. But here's what I did.
I do a lot of webscraping so I just made a package to get me beautiful soup objects of any webpage. Package is here.
So my answer depends on that. But you can take a look at the sourcecode and see that there's really nothing esoteric about it. You may drag out the soup-making part and use as you wish.
Here we go.
pip install pywebber --upgrade
from pywebber import PageRipper
page = PageRipper(url='http://data.eastmoney.com/xg/xg/detail/300741.html?tr_zqh=1', parser='html5lib')
page_soup = page.soup
tr_zqh_table = page_soup.find('tr', id='tr_zqh')
from here you can do tr_zqh_table.find_all('td')
tr_zqh_table.find_all('td')
Output
[
<td class="tdtitle" id="td_zqhrowspan">中签号
</td>, <td class="tdcolor">中签号公布日期
</td>, <td class="ltxt" colspan="3"> 2018-02-22 (周四)
</td>
]
Going a bit further
for td in tr_zqh_table.find_all('td'):
print(td.contents)
Output
['中签号\n ']
['中签号公布日期\n ']
['\xa02018-02-22 (周四)\n ']

Python Requests gives different page text than Internet Explorer

Looking at my stackoverflow user profile page: https://stackoverflow.com/users/2683104/roberto
The site indicates I have been a member for 316 days (screenshots at end of post). If I view source in my browser (IE11), I can see this data comes from a days-visited class.
But if I look for this same days-visited information using Python Requests, the data does not appear anywhere. Why?
from requests import Session
from BeautifulSoup import BeautifulSoup
s = Session()
url = 'https://stackoverflow.com/users/2683104/roberto'
page = s.get(url)
soup = BeautifulSoup(page.text)
print soup.prettify() #server response, prettified
# following returns error
# AttributeError: 'NoneType' object has no attribute 'getText'
#days_visited = soup.find('span', attrs={'id':'days-visited'}).getText()
s.close()
screenshot
view source
python Requests

That field is not visible to your script (or other users). If you want to scrap that piece of information, you will need to have your script login and store appropriate cookies.
This is what is seen by users that aren't you:
And the code block they see:
<tbody>
<tr>
<th>visits</th>
<td>member for</td>
<td class="cool" title="2013-08-14 15:38:01Z">11 months</td>
</tr>
<tr>
<th></th>
<td>seen</td>
<td class="supernova" title="2014-08-08 05:26:50Z">
<span title="2014-08-08 05:26:50Z" class="relativetime">6 mins ago</span>
</td>
</tr>
</tbody>
Normally, I'd recommend against scraping Stack Overflow for data and use the API instead, but this particular piece of information isn't returned as part of the User object.

As the comments said, 'days-visited' only shows when you are logged-in. And it can be seen only by the member himself.
You may find you cookies in your browser and use cookies in you request.
http://docs.python-requests.org/en/latest/user/quickstart/#cookies

How to scrape a website with table content that is retrieved by javascript?

I want to scrape a table from a website with a table that looks like this;
<table class="table table-hover data-table sort display">
<thead>
<tr>
<th class="Column1">
</th>
<th class="Column2">
</th>
</tr>
</thead>
<tbody>
<tr ng-repeat="item in filteredList | orderBy:columnToOrder:reverse">
<td>{{item.Col1}}</td>
<td>{{item.Col2}}</td>
</tr>
</tbody>
</table>
It seems that this website is built using some javascript framework that retrieves the table content from the backend through web services.
The problem is how can we scrape table data if the data is not in numerical format? The code above have the content enclosed in {{ }}. Does this make the website unscrapable? Any solution? Thank you.
I am using python and beautifulsoup4.

Usually when there is JS content BeautifulSoup is not the tool. I use selenium. Try this and see if the HTML you are getting is scrapable:
from selenium import webdriver
driver = webdriver.Firefox()
driver.get(url)
driver.set_window_position(0, 0)
driver.set_window_size(100000, 200000)
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
time.sleep(5) # wait to load
# now print the response
print driver.page_source
At this point, you can use BeautifulSoup to scrape the data out of driver.page_source. Note: you will need to install selenium and Firefox

You could try using import.io (https://import.io) - our connectors, extractors and crawlers all support getting data from pages that is rendered with JavaScript. Without a specific URL I can't verify yours will work for certain, but I don't see why it wouldn't (looks like it is being rendered by AngularJS which should be fine).
p.s. if you hadn't figured it out, I work at import.io - drop me a line if you have specific questions.

What you could do is go to Chrome, and load the site. Go to the console and go to the 'network' tab. Tick 'preserve log' at the top. Reload site and load all the stuff in the log. Now you'll see where the data comes from for 'filteredList' on your page. So in your scraper you now also know where that data comes from, so you can include it in your scraper. The data is most likely in json format... which can be picked up and fiddled with to your hearts content....