Problems Scraping a Page With Beautiful Soup - python-2.7

I am using Beautiful Soup to try and scrape a page.
I am trying to follow this tutorial.
I am trying to get the contents of the following page after submitting a Stock Ticker Symbol:
http://www.cboe.com/delayedquote/quotetable.aspx
The tutorial is for a page with a "GET" method, my page is a "POST". I wonder if that is part of the problem?
I want use the first text box – under where it says:
“Enter a Stock or Index symbol below for delayed quotes.”
Relevant code:
user_agent = 'Mozilla/5 (Solaris 10) Gecko'
headers = { 'User-Agent' : user_agent }
values = {'ctl00$ctl00$AllContent$ContentMain$ucQuoteTableCtl$txtSymbol' : 'IBM' }
data = urllib.urlencode(values)
request = urllib2.Request("http://www.cboe.com/delayedquote/quotetable.aspx", data, headers)
response = urllib2.urlopen(request)
The call does not fail, I do not get a set of options and prices returned to me like when I run the page interactively. I a bunch of garbled HTML.
Thanks in advance!

Ok - I think I figured out the problem (and found another). I decided to switch to 'mechanize' from 'urllib2'. Unfortunately, I kept having problems getting the data. Finally, I realized that there are two 'submit' buttons, so I tried passing the name parameter when submitting the form. That did the trick as far as getting the correct response.
However, the next problem was that I could not get BeautifulSoup to parse the HTML and find the necessary tags. A brief Google search revealed others having similar problems. So, I gave up on BeautifulSoup and just did a basic regex on the HTML. Not as elegant as BeautifulSoup, but effective.
Ok - enough speechifying. Here's what I came up with:
import mechanize
import re
br = mechanize.Browser()
url = 'http://www.cboe.com/delayedquote/quotetable.aspx'
br.open(url)
br.select_form(name='aspnetForm')
br['ctl00$ctl00$AllContent$ContentMain$ucQuoteTableCtl$txtSymbol'] = 'IBM'
# here's the key step that was causing the trouble - pass the name parameter
# for the button when calling submit
response = br.submit(name="ctl00$ctl00$AllContent$ContentMain$ucQuoteTableCtl$btnSubmit")
data = response.read()
match = re.search( r'Bid</font><span> \s*([0-9]{1,4}\.[0-9]{2})', data, re.MULTILINE|re.M|re.I)
if match:
print match.group(1)
else:
print "There was a problem retrieving the quote"

Related

Soup.find and findAll unable to find table elements on hockey-reference.com

I'm just a beginner at webscraping and python in general so I'm sorry if the answer is obvious, but I can't figure out I'm unable to find any of the table elements on https://www.hockey-reference.com/leagues/NHL_2018.html.
My initial thought was that this was a result of the whole div being commented out, so following some advice I found on here in another similar post, I replaced the comment characters and confirmed that they were removed when I saved the soup.text to a text file and searched. I was still unable to find any tables however.
In trying to search a little further I took the ID out of my .find and did a findAll and still table was coming up empty.
Here's the code I was trying to use, any advice is much appreciated!
import csv
import requests
from BeautifulSoup import BeautifulSoup
import re
comm = re.compile("<!--|-->")
url = 'https://www.hockey-reference.com/leagues/NHL_2018.html'
response = requests.get(url)
html = response.content
soup = BeautifulSoup(comm.sub("", html))
table = soup.find('table', id="stats")
When searching for all of the table elements I was using
table = soup.findAll('table')
I'm also aware that there is a csv version on the site, I was just eager to practice.
Give a parser along with your markup, for example BeautifulSoup(html,'lxml') . Try the below code
url = 'https://www.hockey-reference.com/leagues/NHL_2018.html'
response = requests.get(url)
html = response.content
soup = BeautifulSoup(html,'lxml')
table = soup.findAll('table')

Scraping Aliexpress site with Python don't Give me Correct Result

I have problem in scraping aliexpress site.
https://www.aliexpress.com/item/Free-gift-100-Factory-Original-Unlocked-Apple-iphone-4G-8GB-16GB-32GB-Cell-phone-3-5/32691056589.html
This is one url.
What i want to get.
r = requests.get('https://www.aliexpress.com/item/Free-gift-100-Factory-Original-Unlocked-Apple-iphone-4G-8GB-16GB-32GB-Cell-phone-3-5/32691056589.html')
beautifulsoup
content = soup.find('div', {'id':'j-product-tabbed-pane'})
lxml parsing.
root = html.fromstring(r.content)
results = root.xpath('//img[#alt="aeProduct.getSubject()"]')
f = open('result.html', 'w')
f.write(lxml.html.tostring(results[0]))
f.close()
This my my code but give me false result.
Inspect on browser has that elements
But above code don't give me anything.
I think requests.get don't give me correct contents. But why and how i can solve this problem. They detect as a bot?. How can help me.
Thank you every one.
try this
1-use user agent
2-use proxy
3-disable javascript from this site and refresh it then see if the site have this element or it loads by javascript if it loads by javascript
you should find a way to render JS

Web-scraping with Python: NoneType error, can't scrape table's data

this is my first attempt at coding so please forgive my daftness. I'm trying to learn web scraping by practising with this link:
https://data.gov.sg/dataset/industrial-arbitration-court-awards-by-nature-of-trade-disputes?view_id=d3e444ef-54ed-4d0b-b715-1ee465f6d882&resource_id=c24d0d00-2d12-4f68-8fc9-4121433332e0
I've honestly spent hours trying to figure out what's wrong with my code here:
import csv
import requests
from BeautifulSoup import BeautifulSoup
url = 'https://data.gov.sg/dataset/industrial-arbitration-court-awards-by-nature-of-trade-disputes?view_id=d3e444ef-54ed-4d0b-b715-1ee465f6d882&resource_id=c24d0d00-2d12-4f68-8fc9-4121433332e0'
response = requests.get(url)
html = response.content
soup = BeautifulSoup(html)
table = soup.find('tbody')
list_of_rows = []
for row in table.find('tr'):
list_of_cells = []
for cell in row.findAll('td'):
list_of_cells.append()
list_of_rows.append(list_of_cells)
outfile = open("./indarb.csv","wb")
writer = csv.writer(outfile)
My terminal then spits out this: 'NoneType' object has no attribute 'find', saying there's an error in line 13. Not sure if it helps in queries but this is a list of what I've tried:
Different permutations of 'find'/'findAll'
Instead of '.find', used '.findAll'
Instead of '.findAll', used '.find'
Different permutations for line 10
Tried soup.find('tbody')
Tried soup.find('table')
Opened source code, tried soup.find('table', attrs={'class':'table table-condensed'})
Different permutations for line 13
similarly tried with just 'tr' tag; or
tried adding 'attrs={}' stuff
I've really tried but can't figure out why I can't scrape that simple 10 row table. If anyone could post code that works, that'd be phenomenal. Thank you for your patience!
The URL you request in your code is not HTML but JSON.
You have a few mistakes, the biggest is you are using BeautifulSoup3 which has not been developed for years, you should be use bs4, you also need to use find_all when you want want multiple tags. Also you have not passed cell to list_of_cells.append() on line 13 so that is the cause of your other error:
from bs4 import BeautifulSoup
url = 'https://data.gov.sg/dataset/industrial-arbitration-court-awards-by-nature-of-trade-disputes?view_id=d3e444ef-54ed-4d0b-b715-1ee465f6d882&resource_id=c24d0d00-2d12-4f68-8fc9-4121433332e0%27'
response = requests.get(url)
html = response.content
soup = BeautifulSoup(html)
table = soup.find('table')
list_of_rows = []
for row in table.find_all('tr'):
list_of_cells = []
for cell in row.find_all('td'):
list_of_cells.append(cell)
list_of_rows.append(list_of_cells)
I am not sure exactly what you want but that appends the tds from the first table on the page. There is also and api you can use and adownloadable csv if you do actually want the data.

Python lxml xpath no output

For educational purposes I am trying to scrape this page using lxml and requests in Python.
Specifically I just want to print the research areas of all the professors on the page.
This is what I have done till now
import requests
from lxml import html
response=requests.get('http://cse.iitkgp.ac.in/index.php?secret=d2RkOUgybWlNZzJwQXdLc28wNzh6UT09')
parsed_body=html.fromstring(response.content)
for row in parsed_body.xpath('//div[#id="maincontent"]//tr[position() mod 2 = 1]'):
for column in row.xpath('//td[#class="fcardcls"]/tr[2]/td/font/text()'):
print column.strip()
But it is not printing anything. I was struggling quite a bit with xpaths and was intially using the copy xpath feature in chrome. I followed what was done in the following SO questions/answers and cleaned up my code quite a bit and got rid of ' tbody ' in the xpaths. Still the code returns a blank.
1. Empty List Returned
2. Python-lxml-xpath problem
First of all, the main content with the desired data inside is loaded from a different endpoint via an XHR request - simulate that in your code.
Here is the complete working code printing names and a list of research areas per name:
import requests
from lxml import html
response = requests.get('http://cse.iitkgp.ac.in/faculty4.php?_=1450503917634')
parsed_body = html.fromstring(response.content)
for row in parsed_body.xpath('.//td[#class="fcardcls"]'):
name = row.findtext(".//a[#href]/b")
name = ' '.join(name.split()) # getting rid of multiple spaces
research_areas = row.xpath('.//*[. = "Research Areas: "]/following-sibling::text()')[0].split(", ")
print(name, research_areas)
The idea here is use the fact that all "professor blocks" are located in td elements with class="fcardcls". For every block, get the name from the bold link text and research areas from the following string after Research Areas: bold text.

How to scrape through search results spanning multiple pages with lxml

I'm using lxml to scrape through a site. I want to scrape through a search result, that contains 194 items. My scraper is able to scrape only the first page of search results. How can I scrape the rest of the search results?
url = 'http://www.alotofcars.com/new_car_search.php?pg=1&byshowroomprice=0.5-500&bycity=Gotham'
response_object = requests.get(url)
# Build DOM tree
dom_tree = html.fromstring(response_object.text)
After this there are scraping functions
def enter_mmv_in_database(dom_tree,engine):
# Getting make, model, variant
name_selector = CSSSelector('[class="secondary-cell"] p a')
name_results = name_selector(dom_tree)
for n in name_results:
mmv = str(`n.text_content()`).split('\\xa0')
make,model,variant = mmv[0][2:], mmv[1], mmv[2][:-2]
# Now push make, model, variant in Database
print make,model,variant
By looking at the list I receive I can see that only the first page of search results is parsed. How can I parse the whole of search result.
I've tried to navigate through that website but it seems to be offline. Yet, I would like to help with the logic.
What I usually do is:
Make a request to the search URL (with parameters filled)
With lxml, extract the last page available number in a pagination div.
Loop from first page to the last one, making requests and scraping desired data:
for page_number in range(1, last+1):
## make requests replacing 'page_number' in 'pg' GET variable
url = "http://www.alotofcars.com/new_car_search.php?pg={}&byshowroomprice=0.5-500&bycity=Gotham'".format(page_number)
response_object = requests.get(url)
dom_tree = html.fromstring(response_object.text)
...
...
I hope this helps. Let me know if you have any further questions.