Develop Reference

Extract the Background Image Url of a website from html file set in the style in Python

I'm coding a website cloner in python, It is doing fine as well for most files but I have found a challenge in getting the url of background images eg
<div style="background-image: url(images/banner.jpg)" >
The script detects background-image as a folder and assume the url is 'background_image: url(images/banner.jpg' .How do I set it to get the actual url.
Python 2.7
import urllib2
import sys
import socket
import os
import re
socket.setdefaulttimeout(15)
dataTypesToDownload = [".jpg", ".jpeg", ".png", ".gif", ".ico", ".css", ".js", ".html"]
url = 'http://example.com/'
pathbase = 'theme'
if "http://" not in url and "https://" not in url:
url = "http://"+url
try:
os.mkdir(pathbase)
except OSError:
pass
file = open(pathbase + "/index.html", "w")
try:
content = urllib2.urlopen(url).read()
except urllib2.URLError as e:
print "An error occured: " + str(e.reason)
exit()
resources = re.split("=\"|='", content)
first = False
for resource in resources:
if first == False:
first = True
continue
resource = re.split("\"|'", resource)[0]
if any(s in resource for s in dataTypesToDownload):
print "Downloading " + resource
try:
path = resource.split("/")
if len(path) != 1:
path.pop(len(path) - 1)
trail = "./" + pathbase + "/"
for folder in path:
trail += folder+"/"
try:
os.mkdir(trail)
except OSError:
pass
except IOError:
pass
try:
if "?" in resource:
download = open(pathbase + "/"+resource.split("?")[len(resource.split("?")) - 2], "w")
else:
download = open(pathbase + "/"+resource, "w")
print url+"/"+resource
dContent = urllib2.urlopen(url+"/"+resource).read()
except urllib2.URLError as e:
print "An error occured: " + str(e.reason)
download.close()
continue
except IOError:
pass
continue
download.write(dContent)
download.close()
print "Downloaded!"
file.write(content)
file.close()
I expect it when it encounter style="background-image: url(images/banner.jpg),
It should set resource to be images/banner.jpg. But it is setting the resource as background-image: url(images/images.jpg

Python : Manga parsing return empty file

i want to parse images from a "certain" manga and chapter. here's my code:
import requests, bs4, os, urllib.request
try:
url = "http://manganelo.com/chapter/read_one_punch_man_manga_online_free3/chapter_136"
res = requests.get(url)
print("[+] Asking a request to " + url)
# slice the url so it only contains the name and chapter
name = url[34:].replace("/", "_")
os.mkdir(name)
print("[+] Making '{}' directory".format(name))
os.chdir(os.path.join(os.getcwd(), name))
soup = bs4.BeautifulSoup(res.text, "html.parser")
for img in soup.findAll("img"):
manga_url = img.get("src")
manga_name = img.get("alt") + ".jpg"
urllib.request.urlretrieve(manga_url, manga_name)
print("[+] Downloading: " + manga_name)
except Exception as e:
print("[-] Error: " + str(e))
it works fine BUT only for a specific chapter, let's say i put chapter 130, when i try to run the code it returns blank file but if i put chapter 136 or others it works fine. How can this happen?

you can replace urllib.request.urlretrieve(manga_url, manga_name)
with :
r = requests.get(manga_url, stream=True)
if r.status_code == 200:
with open(manga_name, 'wb') as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)
Actually Remote server is apparently checking the user agent header and rejecting requests from Python's urllib.
On the other hand you can use :
opener = urllib.request.URLopener()
opener.addheader('User-Agent', 'whatever')
opener.retrieve(manga_url, manga_name)
This works for me
Hope this helps

Python: parallel loop

I have dataframe and column
event_time
avito.ru/morozovsk/avtomobili/honda_accord_1998_799656153
avito.ru/donetck/avtomobili/honda_accord_2000_829068734
avito.ru/taganrog/avtomobili/volkswagen_passat_1997_839237476
avito.ru/volgodonsk/avtomobili/volkswagen_golf_1993_657720225
avito.ru/taganrog/avtomobili/peugeot_206_2008_818743294
avito.ru/bataysk/avtomobili/peugeot_206_2002_825498743
and I need to open html page. I use proxy and use code
for url in urls:
m = re.search(r'avito.ru\/[a-z]+\/avtomobili\/[a-z0-9_]+$', url)
if m is not None:
url = 'https://www.' + url
proxy = pd.read_excel('proxies.xlsx')
proxies = proxy.proxy.values.tolist()
for i, proxy in enumerate(proxies):
# print "Trying HTTP proxy %s" % proxy
try:
result = urllib.urlopen(url, proxies={'http': proxy}).read()
if 'Мы обнаружили, что запросы, поступающие с вашего IP-адреса, похожи на автоматические' in result:
raise Exception
else:
page = page.read()
soup = BeautifulSoup(page, 'html.parser')
price = soup.find('span', itemprop="price")
print price
except:
print "Trying next proxy %s in 30 seconds" % proxy
time.sleep(30)
But it need a lot of time! I want to do it faster.
I try to add this code to func
def get_page(url):
and next
if __name__ == '__main__':
pool = Pool(processes=8)
pool.map(get_page, urls)
I want to open some url with some proxy, but it works wrong for me.
Is any way to solve my task?

python request urls parallel [duplicate]

This question already has an answer here:
How to send multiple http requests python
(1 answer)
Closed 6 years ago.
I created the following script to download images from an API endpoint which works as intended. Thing is that it is rather slow as all the requests have to wait on each other. What is the correct way to make it possible to still have the steps synchronously for each item I want to fetch, but make it parallel for each individual item. This from an online service called
servicem8
So what I hope to achieve is:
fetch all possible job ids => keep name/and other info
fetch name of the customer
fetch each attachment of a job
These three steps should be done for each job. So I could make things parallel for each job as they do not have to wait on each other.
Update:
Problem I do not understand is how can you make sure that you bundle for example the three calls per item in one call as its only per item that I can do things in parallel so for example when I want to
fetch item( fetch name => fetch description => fetch id)
so its the fetch item I want to make parallel?
The current code I have is working but rather slow:
import requests
import dateutil.parser
import shutil
import os
user = "test#test.com"
passw = "test"
print("Read json")
url = "https://api.servicem8.com/api_1.0/job.json"
r = requests.get(url, auth=(user, passw))
print("finished reading jobs.json file")
scheduled_jobs = []
if r.status_code == 200:
for item in r.json():
scheduled_date = item['job_is_scheduled_until_stamp']
try:
parsed_date = dateutil.parser.parse(scheduled_date)
if parsed_date.year == 2016:
if parsed_date.month == 10:
if parsed_date.day == 10:
url_customer = "https://api.servicem8.com/api_1.0/Company/{}.json".format(item[
'company_uuid'])
c = requests.get(url_customer, auth=(user, passw))
cus_name = c.json()['name']
scheduled_jobs.append(
[item['uuid'], item['generated_job_id'], cus_name])
except ValueError:
pass
for job in scheduled_jobs:
print("fetch for job {}".format(job))
url = "https://api.servicem8.com/api_1.0/Attachment.json?%24filter=related_object_uuid%20eq%20{}".format(job[
0])
r = requests.get(url, auth=(user, passw))
if r.json() == []:
pass
for attachment in r.json():
if attachment['active'] == 1 and attachment['file_type'] != '.pdf':
print("fetch for attachment {}".format(attachment))
url_staff = "https://api.servicem8.com/api_1.0/Staff.json?%24filter=uuid%20eq%20{}".format(
attachment['created_by_staff_uuid'])
s = requests.get(url_staff, auth=(user, passw))
for staff in s.json():
tech = "{}_{}".format(staff['first'], staff['last'])
url = "https://api.servicem8.com/api_1.0/Attachment/{}.file".format(attachment[
'uuid'])
r = requests.get(url, auth=(user, passw), stream=True)
if r.status_code == 200:
creation_date = dateutil.parser.parse(
attachment['timestamp']).strftime("%d.%m.%y")
if not os.path.exists(os.getcwd() + "/{}/{}".format(job[2], job[1])):
os.makedirs(os.getcwd() + "/{}/{}".format(job[2], job[1]))
path = os.getcwd() + "/{}/{}/SC -O {} {}{}".format(
job[2], job[1], creation_date, tech.upper(), attachment['file_type'])
print("writing file to path {}".format(path))
with open(path, 'wb') as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)
else:
print(r.text)
Update [14/10]
I updated the code in the following way with some hints given. Thanks a lot for that. Only thing I could optimize I guess is the attachment downloading but it is working fine now. Funny thing I learned is that you cannot create a CON folder on a windows machine :-) did not know that.
I use pandas as well just to try to avoid some loops in my list of dicts but not sure if I am already most performant. Longest is actually reading in the full json files. I fully read them in as I could not find an API way of just telling the api, return me only the jobs from september 2016. The api query function seems to work on eq/lt/ht.
import requests
import dateutil.parser
import shutil
import os
import pandas as pd
user = ""
passw = ""
FOLDER = os.getcwd()
headers = {"Accept-Encoding": "gzip, deflate"}
import grequests
urls = [
'https://api.servicem8.com/api_1.0/job.json',
'https://api.servicem8.com/api_1.0/Attachment.json',
'https://api.servicem8.com/api_1.0/Staff.json',
'https://api.servicem8.com/api_1.0/Company.json'
]
#Create a set of unsent Requests:
print("Read json files")
rs = (grequests.get(u, auth=(user, passw), headers=headers) for u in urls)
#Send them all at the same time:
jobs,attachments,staffs,companies = grequests.map(rs)
#create dataframes
df_jobs = pd.DataFrame(jobs.json())
df_attachments = pd.DataFrame(attachments.json())
df_staffs = pd.DataFrame(staffs.json())
df_companies = pd.DataFrame(companies.json())
#url_customer = "https://api.servicem8.com/api_1.0/Company/{}.json".format(item['company_uuid'])
#c = requests.get(url_customer, auth=(user, passw))
#url = "https://api.servicem8.com/api_1.0/job.json"
#jobs = requests.get(url, auth=(user, passw), headers=headers)
#print("Reading attachments json")
#url = "https://api.servicem8.com/api_1.0/Attachment.json"
#attachments = requests.get(url, auth=(user, passw), headers=headers)
#print("Reading staff.json")
#url_staff = "https://api.servicem8.com/api_1.0/Staff.json"
#staffs = requests.get(url_staff, auth=(user, passw))
scheduled_jobs = []
if jobs.status_code == 200:
print("finished reading json file")
for job in jobs.json():
scheduled_date = job['job_is_scheduled_until_stamp']
try:
parsed_date = dateutil.parser.parse(scheduled_date)
if parsed_date.year == 2016:
if parsed_date.month == 9:
cus_name = df_companies[df_companies.uuid == job['company_uuid']].iloc[0]['name'].upper()
cus_name = cus_name.replace('/', '')
scheduled_jobs.append([job['uuid'], job['generated_job_id'], cus_name])
except ValueError:
pass
print("{} jobs to fetch".format(len(scheduled_jobs)))
for job in scheduled_jobs:
print("fetch for job attachments {}".format(job))
#url = "https://api.servicem8.com/api_1.0/Attachment.json?%24filter=related_object_uuid%20eq%20{}".format(job[0])
if attachments == []:
pass
for attachment in attachments.json():
if attachment['related_object_uuid'] == job[0]:
if attachment['active'] == 1 and attachment['file_type'] != '.pdf' and attachment['attachment_source'] != 'INVOICE_SIGNOFF':
for staff in staffs.json():
if staff['uuid'] == attachment['created_by_staff_uuid']:
tech = "{}_{}".format(
staff['first'].split()[-1].strip(), staff['last'])
creation_timestamp = dateutil.parser.parse(
attachment['timestamp'])
creation_date = creation_timestamp.strftime("%d.%m.%y")
creation_time = creation_timestamp.strftime("%H_%M_%S")
path = FOLDER + "/{}/{}/SC_-O_D{}_T{}_{}{}".format(
job[2], job[1], creation_date, creation_time, tech.upper(), attachment['file_type'])
# fetch attachment
if not os.path.isfile(path):
url = "https://api.servicem8.com/api_1.0/Attachment/{}.file".format(attachment[
'uuid'])
r = requests.get(url, auth=(user, passw), stream = True)
if r.status_code == 200:
if not os.path.exists(FOLDER + "/{}/{}".format(job[2], job[1])):
os.makedirs(
FOLDER + "/{}/{}".format(job[2], job[1]))
print("writing file to path {}".format(path))
with open(path, 'wb') as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)
else:
print("file already exists")
else:
print(r.text)

General idea is to use asynchronous url requests and there is a python module named grequests for that-https://github.com/kennethreitz/grequests
From Documentation:
import grequests
urls = [
'http://www.heroku.com',
'http://python-tablib.org',
'http://httpbin.org',
'http://python-requests.org',
'http://fakedomain/',
'http://kennethreitz.com'
]
#Create a set of unsent Requests:
rs = (grequests.get(u) for u in urls)
#Send them all at the same time:
grequests.map(rs)
And the resopnse
[<Response [200]>, <Response [200]>, <Response [200]>, <Response [200]>, None, <Response [200]>]

Why am I getting a http status code of 200 instead of 302 [duplicate]

I've write this function:
def download_mp3(url,name):
opener1 = urllib2.build_opener()
page1 = opener1.open(url)
mp3 = page1.read()
filename = name+'.mp3'
fout = open(filename, 'wb')
fout.write(mp3)
fout.close()
This function take an url and a name both as string.
Then will download and save an mp3 from the url with the name of the variable name.
the url is in the form http://site/download.php?id=xxxx where xxxx is the id of an mp3
if this id does not exist the site redirects me to another page.
So, the question is: how Can I check if this id exist? I've tried to check if the url exist with a function like this:
def checkUrl(url):
p = urlparse(url)
conn = httplib.HTTPConnection(p.netloc)
conn.request('HEAD', p.path)
resp = conn.getresponse()
return resp.status < 400
But it's seems not working..
Thank you

Something like this, and check code:
import urllib2, urllib
class NoRedirectHandler(urllib2.HTTPRedirectHandler):
def http_error_302(self, req, fp, code, msg, headers):
infourl = urllib.addinfourl(fp, headers, req.get_full_url())
infourl.status = code
infourl.code = code
return infourl
http_error_300 = http_error_302
http_error_301 = http_error_302
http_error_303 = http_error_302
http_error_307 = http_error_302
opener = urllib2.build_opener(NoRedirectHandler())
urllib2.install_opener(opener)
response = urllib2.urlopen('http://google.com')
if response.code in (300, 301, 302, 303, 307):
print('redirect')

My answer to this looked like
req = urllib2.Request(url)
try:
response = urllib2.urlopen(url)
except urllib2.HTTPError as e:
# Do something about it
raise HoustonWeHaveAProblem
else:
if response.url != url:
print 'We have redirected!'