I have tried the following codes to extract the page url.
from bs4 import BeautifulSoup
import urllib3
http = urllib3.PoolManager()
url = 'http://www.thefamouspeople.com/singers.php'
response = http.request('GET', url)
html = response.read()
soup = BeautifulSoup(html)
print soup.prettify()
But, I was wondering its giving blank output. Am I missing something ?
You should try adding html = str(html) after html = response.read() because html = response.read() returns bytes.
Related
from urllib2 import urlopen, Request
from bs4 import BeautifulSoup
site = 'https://racing.hkjc.com/racing/information/English/racing/LocalResults.aspx/'
hdr = {'User-Agent': 'Mozilla/5.0'}
req = Request(site, headers=hdr)
res = urlopen(req)
rawpage = res.read()
page = rawpage.replace("<!-->", "")
soup = BeautifulSoup(page, "html.parser")
table = soup.find("table", {"class":"f_tac table_bd draggable"})
print (table)
this work perfectly got a table output, untill i change the url to next page there is nothing to output (None)
'https://racing.hkjc.com/racing/information/English/Racing/LocalResults.aspx?RaceDate=2020/03/14&Racecourse=ST&RaceNo=2'
please help what's wrong of the url or the code?
you must add query string to end of url:
example:
to fetch table from page 2:
site ='https://racing.hkjc.com/racing/information/English/racing/LocalResults.aspx/?RaceDate=2020/03/14&Racecourse=ST&RaceNo=2'
I am currently trying to scrape product data off lazada.sg using bs4 in the below code.
from bs4 import BeautifulSoup
import requests
url = "https://www.lazada.sg/shop-mobiles/"
page = requests.get(url)
content = page.text #read html
soup = BeautifulSoup(content, 'html.parser')
products = soup.find_all("div", {"class" : "c16H9d"}) #find div tags containing product details
with open("test.txt", 'w') as f:
f.write(str(products))
However the output in test.txt is just [].
I found that the above class is in <div id="root">, which I extracted and got this result.
How will I be able to access the 'inner div tags'?
Here is a snippet of the page source.
Data is dynamically loaded from script tag. You can regex out and use json library to view. You will need to adjust print line presumably for 2.7
import requests, re, json, pprint
r = requests.get('https://www.lazada.sg/shop-mobiles/')
p = re.compile(r'window.pageData=(.*)<')
data = json.loads(p.findall(r.text)[0])
for item in data['mods']['listItems']:
pprint.pprint(item)
break # delete me later
I'm unable to scrape the links of the articles present in the paginated webpages. Additionally I get a blank screen at times as my output. I am unable to find the problem in my loop. Also the csv file doesn't get created.
from pprint import pprint
import requests
from bs4 import BeautifulSoup
import lxml
import csv
import urllib2
def get_url_for_search_key(search_key):
for i in range(1,100):
base_url = 'http://www.thedrum.com/'
response = requests.get(base_url + 'search?page=%s&query=' + search_key +'&sorted=')%i
soup = BeautifulSoup(response.content, "lxml")
results = soup.findAll('a')
return [url['href'] for url in soup.findAll('a')]
pprint(get_url_for_search_key('artificial intelligence'))
with open('StoreUrl.csv', 'w+') as f:
f.seek(0)
f.write('\n'.join(get_url_for_search_key('artificial intelligence')))
Are you sure, that you need only first 100 pages? Maybe there's more of them...
My vision of your task below, this will collect links from all pages and also precisely catches next page button links:
import requests
from bs4 import BeautifulSoup
base_url = 'http://www.thedrum.com/search?sort=date&query=artificial%20intelligence'
response = requests.get(base_url)
soup = BeautifulSoup(response.content, "lxml")
res = []
while 1:
results = soup.findAll('a')
res.append([url['href'] for url in soup.findAll('a')])
next_button = soup.find('a', text='Next page')
if not next_button:
break
response = requests.get(next_button['href'])
soup = BeautifulSoup(response.content, "lxml")
EDIT: alternative approach for collecting only article links:
import requests
from bs4 import BeautifulSoup
base_url = 'http://www.thedrum.com/search?sort=date&query=artificial%20intelligence'
response = requests.get(base_url)
soup = BeautifulSoup(response.content, "lxml")
res = []
while 1:
search_results = soup.find('div', class_='search-results') #localizing search window with article links
article_link_tags = search_results.findAll('a') #ordinary scheme goes further
res.append([url['href'] for url in article_link_tags])
next_button = soup.find('a', text='Next page')
if not next_button:
break
response = requests.get(next_button['href'])
soup = BeautifulSoup(response.content, "lxml")
to print links use:
for i in res:
for j in i:
print(j)
I'm very new to python 2.7 and I have a task to read a table in the URL.
I'm getting the data from URL with table. and now the issue is, I need only data but I am getting with tags also.
Please help me. Thank you in advance.
from bs4 import BeautifulSoup
import urllib2
response = urllib2.urlopen('https://www.somewebsite.com/')
html = response.read()
soup = BeautifulSoup(html)
tabulka = soup.find("table", {"class" : "defaultTableStyle tableFontMD tableNoBorder"})
records = []
for row in tabulka.findAll('tr'):
col = row.findAll('td')
print col
you have to use .text attribute
from bs4 import BeautifulSoup
import urllib2
response = urllib2.urlopen('https://www.somewebsite.com/')
html = response.read()
soup = BeautifulSoup(html)
tabulka = soup.find("table", {"class" : "defaultTableStyle tableFontMD tableNoBorder"})
records = []
for row in tabulka.findAll('tr'):
col = row.findAll('td')
print [coli.text for coli in col]
so I am trying to build a dynamic web crawler to get all url links within links.
so far i am able to get all the links for Chapters, but when I trying to do section links from each chapter, my output does not print out anything.
the code i used :
#########################Chapters#######################
import requests
from bs4 import BeautifulSoup, SoupStrainer
import re
base_url = "http://law.justia.com/codes/alabama/2015/title-{title:01d}/"
for title in range (1,4):
url = base_url.format(title=title)
r = requests.get(url)
for link in BeautifulSoup((r.content),"html.parser",parse_only=SoupStrainer('a')):
if link.has_attr('href'):
if 'chapt' in link['href']:
href = "http://law.justia.com" + link['href']
leveltwo(href)
#########################Sections#######################
def leveltwo(item_url):
r = requests.get(item_url)
soup = BeautifulSoup((r.content),"html.parser")
section = soup.find('div', {'class': 'primary-content' })
for sublinks in section.find_all('a'):
sectionlinks = sublinks.get('href')
print (sectionlinks)
With some minor modifications to your code, I was able to get it to run and output the sections. Mainly, you needed to fix your indentation, and define a function before you call it.
#########################Chapters#######################
import requests
from bs4 import BeautifulSoup, SoupStrainer
import re
def leveltwo(item_url):
r = requests.get(item_url)
soup = BeautifulSoup((r.content),"html.parser")
section = soup.find('div', {'class': 'primary-content' })
for sublinks in section.find_all('a'):
sectionlinks = sublinks.get('href')
print (sectionlinks)
base_url = "http://law.justia.com/codes/alabama/2015/title-{title:01d}/"
for title in range (1,4):
url = base_url.format(title=title)
r = requests.get(url)
for link in BeautifulSoup((r.content),"html.parser",parse_only=SoupStrainer('a')):
try:
if 'chapt' in link['href']:
href = "http://law.justia.com" + link['href']
leveltwo(href)
else:
continue
except KeyError:
continue
#########################Sections#######################
output:
/codes/alabama/2015/title-3/chapter-1/section-3-1-1/index.html
/codes/alabama/2015/title-3/chapter-1/section-3-1-2/index.html
/codes/alabama/2015/title-3/chapter-1/section-3-1-3/index.html
/codes/alabama/2015/title-3/chapter-1/section-3-1-4/index.html etc.
You don't need any try/except blocks, you can use href=True with find or find_all to only select the anchor tags with href's or a css select a[href] as below, the chapter links are in the first ul with inside the article tag with the id #maincontent so you don't need to filter at all:
base_url = "http://law.justia.com/codes/alabama/2015/title-{title:01d}/"
import requests
from bs4 import BeautifulSoup
def leveltwo(item_url):
r = requests.get(item_url)
soup = BeautifulSoup(r.content, "html.parser")
section_links = [a["href"] for a in soup.select('div .primary-content a[href]')]
print (section_links)
for title in range(1, 4):
url = base_url.format(title=title)
r = requests.get(url)
for link in BeautifulSoup(r.content, "html.parser").select("#maincontent ul:nth-of-type(1) a[href]"):
href = "http://law.justia.com" + link['href']
leveltwo(href)
If you were to use find_all you simply need to pass find_all(.., href=True) to filter your anchor tags to only select ones that have hrefs.