Python爬取国外天气预报网站的方法

yipeiwu_com7年前Python爬虫

本文实例讲述了Python爬取国外天气预报网站的方法。分享给大家供大家参考。具体如下:

crawl_weather.py如下:

#encoding=utf-8
import httplib
import urllib2
import time
from threading import Thread
import threading
from Queue import Queue
from time import sleep
import re
import copy
lang = "fr"
count = 0
class Location:
  # Location(False, "中国", "北京", "zh")
  # Location(True, "", "亚洲", "zh")
  def __init__(self, is_beyond_country, country_name, loc_name, lang):
    self.country_name = country_name
    self.loc_name = loc_name
    self.lang = lang
    self.is_beyond_country = is_beyond_country
prn_lock = threading.RLock()
def GetLocationURLs(url, recursive):
  global count
  if url.find("weather-forecast") != -1:
    count = count + 1
    if count % 500 == 0:
      prn_lock.acquire()
      print "count:%d" % (count)
      prn_lock.release()
    return [url]
  page = urllib2.urlopen(url).read()
  time.sleep(0.01)
  #"<h6><a href=\"http://www.accuweather.com/zh/browse-locations/afr\"><em>Africa</em></a></h6>"
  pattern = "<h6><a href=\"(.*)\"><em>(.*)</em></a></h6>"
  locs = re.findall(pattern, page)
  locs = [(url, name) for url, name in locs if url.find("browse-locations") != -1 or url.find("weather-forecast") != -1]
  if not recursive:
    urls = [url for url, name in locs]
    return urls
  urls = []
  for _url, _name in locs:
    lst = GetLocationURLs(_url, True)
    urls.extend(lst)
  return urls
#entry_url = "http://www.accuweather.com/zh/browse-locations"
entry_url = "http://www.accuweather.com/%s/browse-locations/eur/fr" % (lang)
#regions = ["afr", "ant", "arc", "asi", "cac", "eur", "mea", "nam", "ocn", "sam"]
#regions = ["eur"]
#region_urls = [ "%s/%s" % (entry_url, reg) for reg in regions]
#region_urls = ["http://www.accuweather.com/zh/browse-locations/eur/fr"]
sub_urls = GetLocationURLs(entry_url, False)
print len(sub_urls)
print sub_urls
q = Queue()
location_urls = []
ThreadNum = 5
lock = threading.RLock()
for url in sub_urls:
  q.put(url)
def working():
  while True:
    url = q.get()
    lst = GetLocationURLs(url, True)
    print "%s %d urls " % (url, len(lst))
    lock.acquire()
    location_urls.extend(lst)
    lock.release()
    q.task_done()
for i in range(ThreadNum):
  t = Thread(target=working)
  t.setDaemon(True)
  t.start()
q.join()  
fp = open('locations.txt', "w")
fp.write("\n".join(location_urls))
fp.close()
#for url in location_urls:
#  print url
#location_urls = GetLocationURLs(entry_url)
'''
def Fetch(url):
  try:
    print url
    web_path = url[0]
    local_name = url[1]   
    print "web_path:", web_path
    print "local_name:", local_name
    sContent = urllib2.urlopen(web_path).read()
    savePath = "D:\\Course\\NLP_Manning\\%s" % (local_name)
    print savePath
    file = open(savePath,'wb')
    file.write(sContent)
    file.close()
    print savePath + " saved";
  except:
    pass;
def working():
  while True:
    url = q.get()
    Fetch(url)
    sleep(10)
    q.task_done()
#root_url = "https://class.coursera.org/nlp/lecture/index?lecture_player=flash"
root_url = "https://class.coursera.org/nlp/lecture/index?lecture_player=flash"
page = urllib2.urlopen(root_url).read()
for i in range(NUM):
  t = Thread(target=working)
  t.setDaemon(True)
  t.start()
urls = copy.deepcopy(ppt_urls)
urls.extend(srt_urls)
urls.extend(video_urls)
print len(ppt_urls)
print len(srt_urls)
print len(video_urls)
print len(urls)
for url in urls:
  q.put(url)
q.join()
'''
'''
root_url = "http://www.accuweather.com/zh/cn/andingmen/57494/weather-forecast/57494"
page = urllib2.urlopen(root_url).read()
print page
'''

FetchLocation.py如下:

#encoding=utf-8
import sys
import httplib
import urllib2
import time
from threading import Thread
import threading
from Queue import Queue
from time import sleep
import re
import copy
from xml.dom import minidom
import HTMLParser
import datetime
q = Queue()
locks = [threading.RLock() for i in range(2)]
ThreadNumber = 20
locations = {}
conds = {}
def FindCountryBreadCrumbs(page):
  lines = page.splitlines()
  count = 0
  start = -1
  opened = False
  for line in lines:
    if line.find("<ul id=\"country-breadcrumbs\">") != -1:
      start = count
      opened = True
    if opened and line.find("</ul>") != -1:
      end = count
      opened = False
    count = count + 1
  return "\n".join(lines[start: (end + 1)])
def GetText(nodelist):
  rc = []
  for node in nodelist:
    if node.nodeType == node.TEXT_NODE:
      rc.append(HTMLParser.HTMLParser().unescape(node.data))
  return ''.join(rc)
def FindCondition(page):
  pat = "<span class=\"cond\">(.*?)</span>"
  cds = re.findall(pat, page)
  cds = [HTMLParser.HTMLParser().unescape(cd).encode("utf-8") for cd in cds]
  return cds  
def ExtractInfo(url):
  try:
    page = urllib2.urlopen(url).read()
  except Exception, e:
    return []
  text = FindCountryBreadCrumbs(page)
  text = HTMLParser.HTMLParser().unescape(text)
  dom = minidom.parseString(text.encode("utf-8"))
  locs = []
  lis = dom.getElementsByTagName("li")
  for li in lis:
    adr_list = li.getElementsByTagName("a")
    if adr_list:
      locs.append(GetText(adr_list[0].childNodes).encode("utf-8"))
    strs = li.getElementsByTagName("strong")
    if strs:
      locs.append(GetText(strs[0].childNodes).encode("utf-8"))
  cds = FindCondition(page)
  return locs, cds
def AddMap(lst, m):
  for x in lst:
    if m.get(x) == None:
      m[x] = 1
def working():
  while True:
    urls = q.get()
    #print len(urls)
    m = {}
    m2 = {}
    count = 0
    for url in urls:
      count = count + 1
      #print "%d/%d" % (count, len(urls))
      locs, cds = ExtractInfo(url)
      AddMap(locs, m)
      AddMap(cds, m2)
    locks[1].acquire()
    AddMap(m.keys(), locations)
    AddMap(m2.keys(), conds)
    locks[1].release()
    q.task_done()
def main():
  if len(sys.argv) < 2:
    exit()
  loc_path = sys.argv[1]
  fp = open(loc_path, "r")
  urls = [line.strip() for line in fp]
  fp.close()
  #urls = urls[0:1000]
  blocks = len(urls) / ThreadNumber + 1
  for start in range(0, len(urls), blocks):
    end = start + blocks
    if end > len(urls):
      end = len(urls)
    q.put(urls[start:end])
  for i in range(ThreadNumber):
    t = Thread(target=working)
    t.setDaemon(True)
    t.start()
  q.join()
  fp = open("location_name.fr", "w")
  fp.write("\n".join(locations.keys()))
  fp.close()
  fp = open("conditions.fr", "w")
  fp.write("\n".join(conds.keys()))
  fp.close()
if __name__ == '__main__':
  main()

希望本文所述对大家的python程序设计有所帮助。

相关文章

Python的爬虫程序编写框架Scrapy入门学习教程

Python的爬虫程序编写框架Scrapy入门学习教程

1. Scrapy简介 Scrapy是一个为了爬取网站数据,提取结构性数据而编写的应用框架。 可以应用在包括数据挖掘,信息处理或存储历史数据等一系列的程序中。 其最初是为了页面抓取 (更...

python爬取亚马逊书籍信息代码分享

我有个需求就是抓取一些简单的书籍信息存储到mysql数据库,例如,封面图片,书名,类型,作者,简历,出版社,语种。 我比较之后,决定在亚马逊来实现我的需求。 我分析网站后发现,亚马逊有个...

python爬虫的一个常见简单js反爬详解

前言 我们在写爬虫是遇到最多的应该就是js反爬了,今天分享一个比较常见的js反爬,这个我已经在多个网站上见到过了。 我把js反爬分为参数由js加密生成和js生成cookie等来操作浏览器...

实践Python的爬虫框架Scrapy来抓取豆瓣电影TOP250

实践Python的爬虫框架Scrapy来抓取豆瓣电影TOP250

安装部署Scrapy 在安装Scrapy前首先需要确定的是已经安装好了Python(目前Scrapy支持Python2.5,Python2.6和Python2.7)。官方文档中介绍了三种...

Python爬虫使用浏览器cookies:browsercookie过程解析

很多用Python的人可能都写过网络爬虫,自动化获取网络数据确实是一件令人愉悦的事情,而Python很好的帮助我们达到这种愉悦。然而,爬虫经常要碰到各种登录、验证的阻挠,让人灰心丧气(网...