pyGTrends 似乎不起作用。在 Python 中给出错误。
pyGoogleTrendsCsvDownloader 似乎可以工作,登录,但在收到 1-3 个请求(每天!)后抱怨配额用尽,即使使用相同的登录名/IP 手动下载也可以完美运行。
底线:两者都不起作用。通过stackoverflow搜索:人们试图从谷歌中提取csv的许多问题,但我找不到可行的解决方案......
提前感谢您:谁能提供帮助。代码应该怎么改?您知道另一种可行的解决方案吗?
这是 pyGoogleTrendsCsvDownloader.py 的代码
import httplib
import urllib
import urllib2
import re
import csv
import lxml.etree as etree
import lxml.html as html
import traceback
import gzip
import random
import time
import sys
from cookielib import Cookie, CookieJar
from StringIO import StringIO
class pyGoogleTrendsCsvDownloader(object):
'''
Google Trends Downloader
Recommended usage:
from pyGoogleTrendsCsvDownloader import pyGoogleTrendsCsvDownloader
r = pyGoogleTrendsCsvDownloader(username, password)
r.get_csv(cat='0-958', geo='US-ME-500')
'''
def __init__(self, username, password):
'''
Provide login and password to be used to connect to Google Trends
All immutable system variables are also defined here
'''
# The amount of time (in secs) that the script should wait before making a request.
# This can be used to throttle the downloading speed to avoid hitting servers too hard.
# It is further randomized.
self.download_delay = 0.25
self.service = "trendspro"
self.url_service = "http://www.google.com/trends/"
self.url_download = self.url_service + "trendsReport?"
self.login_params = {}
# These headers are necessary, otherwise Google will flag the request at your account level
self.headers = [('User-Agent', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:12.0) Gecko/20100101 Firefox/12.0'),
("Accept", "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"),
("Accept-Language", "en-gb,en;q=0.5"),
("Accept-Encoding", "gzip, deflate"),
("Connection", "keep-alive")]
self.url_login = 'https://accounts.google.com/ServiceLogin?service='+self.service+'&passive=1209600&continue='+self.url_service+'&followup='+self.url_service
self.url_authenticate = 'https://accounts.google.com/accounts/ServiceLoginAuth'
self.header_dictionary = {}
self._authenticate(username, password)
def _authenticate(self, username, password):
'''
Authenticate to Google:
1 - make a GET request to the Login webpage so we can get the login form
2 - make a POST request with email, password and login form input values
'''
# Make sure we get CSV results in English
ck = Cookie(version=0, name='I4SUserLocale', value='en_US', port=None, port_specified=False, domain='www.google.com', domain_specified=False,domain_initial_dot=False, path='/trends', path_specified=True, secure=False, expires=None, discard=False, comment=None, comment_url=None, rest=None)
self.cj = CookieJar()
self.cj.set_cookie(ck)
self.opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(self.cj))
self.opener.addheaders = self.headers
# Get all of the login form input values
find_inputs = etree.XPath("//form[@id='gaia_loginform']//input")
try:
#
resp = self.opener.open(self.url_login)
if resp.info().get('Content-Encoding') == 'gzip':
buf = StringIO( resp.read())
f = gzip.GzipFile(fileobj=buf)
data = f.read()
else:
data = resp.read()
xmlTree = etree.fromstring(data, parser=html.HTMLParser(recover=True, remove_comments=True))
for input in find_inputs(xmlTree):
name = input.get('name')
if name:
name = name.encode('utf8')
value = input.get('value', '').encode('utf8')
self.login_params[name] = value
except:
print("Exception while parsing: %s\n" % traceback.format_exc())
self.login_params["Email"] = username
self.login_params["Passwd"] = password
params = urllib.urlencode(self.login_params)
self.opener.open(self.url_authenticate, params)
def get_csv(self, throttle=False, **kwargs):
'''
Download CSV reports
'''
# Randomized download delay
if throttle:
r = random.uniform(0.5 * self.download_delay, 1.5 * self.download_delay)
time.sleep(r)
params = {
'export': 1
}
params.update(kwargs)
params = urllib.urlencode(params)
r = self.opener.open(self.url_download + params)
# Make sure everything is working ;)
if not r.info().has_key('Content-Disposition'):
print "You've exceeded your quota. Continue tomorrow..."
sys.exit(0)
if r.info().get('Content-Encoding') == 'gzip':
buf = StringIO( r.read())
f = gzip.GzipFile(fileobj=buf)
data = f.read()
else:
data = r.read()
myFile = open('trends_%s.csv' % '_'.join(['%s-%s' % (key, value) for (key, value) in kwargs.items()]), 'w')
myFile.write(data)
myFile.close()