python爬取中国天气网天气并保存为csv格式文件

版权声明:YESHAO https://blog.csdn.net/qq_38929220/article/details/83902818

python版本:python3.7
编译器:pycharm
所爬取的网址:http://www.weather.com.cn/weather/101020100.shtml (中国天气网上海)
所用方法:lxml的css选择器
lxml的具体使用方法可以参照我另一篇博客:https://blog.csdn.net/qq_38929220/article/details/83623057

最后运行结果示例如图:
在这里插入图片描述

爬取思路

  1. 检查网站的robots.txt文件
  2. 查看网页源代码找到所要爬取的内容
  3. 写表达式爬取想要的内容
  4. 写入csv文件

检查网站的robots.txt文件

robots.txt文件定义了对爬虫的限制,可以直接手动在想要爬的网址后输入robots.txt查看
例:http://www.weather.com.cn/robots.txt
也可以通过代码实现,这样在爬取其他网页时也可以复用,爬多网页时比较方便。

 # 检查url传递的robots.txt限制
if rp.can_fetch(user_agent, url):
	throttle.wait(url)#延迟函数
    html = download(url, headers, proxy=proxy, num_retries=num_retries)

查看网页源代码找到所要爬取的内容并爬取

右键网页点击查看网页源代码就可以看到网页的源代码。
找出想爬取信息对应的代码。
在这里插入图片描述
可以看出此网站的天气有wea、tem、win三个属性,均写在p标签里,没有定义父标签,可单独直接抓取。

td = tree.cssselect('p.wea,p.tem,p.win')
for wea in td:
	#strip方法用于移除字符串头尾指定的字符
    print(wea.text_content().strip('\n'))

写入csv文件

import csv
from urllib.parse import urlparse
import lxml.html
from link_crawler import link_crawler
import json

#使用回调类而非回调函数以保持csv中write属性的状态
class ScrapeCallback:
    def __init__(self):
    	#不写newline=''的话会出现空行
        self.writer = csv.writer(open('weather.csv', 'w',newline=''))
        #天气 最高温/最低温 风力
        self.fields = ('天气','最高/低温','风力')
        self.writer.writerow(self.fields)

    def __call__(self, url, html):
         tree = lxml.html.fromstring(html)
         td=tree.cssselect('p.wea')
         n=0
         for wea in td:
             row=[]
             row.append(tree.cssselect('p.wea')[n].text_content().strip('\n'))
             row.append(tree.cssselect('p.tem')[n].text_content().strip('\n'))
             row.append(tree.cssselect('p.win')[n].text_content().strip('\n'))
             n=n+1
             self.writer.writerow(row)

全部源码(适用于多页):

import re
from urllib.parse import urlparse,urljoin,urlsplit
import urllib.request
import time
from datetime import datetime
import urllib.robotparser
import queue

def link_crawler(seed_url, link_regex=None, delay=5, max_depth=-1, max_urls=-1, headers=None, user_agent='wswp', proxy=None, num_retries=1, scrape_callback=None):
    """
    在link_regex匹配的链接之后从给定的种子URL抓取
    """
    # 仍需要抓取的URL队列
    crawl_queue = [seed_url]
    # 已经看到深度的URL
    seen = {seed_url: 0}
    # 追踪有多少URL被下载过
    num_urls = 0
    rp = get_robots(seed_url)
    throttle = Throttle(delay)
    headers = headers or {}
    if user_agent:
        headers['User-agent'] = user_agent

    while crawl_queue:
        url = crawl_queue.pop()
        depth = seen[url]
        # 检查url传递的robots.txt限制
        if rp.can_fetch(user_agent, url):
            throttle.wait(url)
            html = download(url, headers, proxy=proxy, num_retries=num_retries)
            links = []
            if scrape_callback:
                links.extend(scrape_callback(url, html) or [])

            #未达到最大深度,仍可以进一步爬取
            if depth != max_depth:
                if link_regex:
                    # 筛选符合正则表达式的链接
                    links.extend(link for link in get_links(html) if re.match(link_regex, link))

                for link in links:
                    link = normalize(seed_url, link)
                    # 检查是否已抓取此链接
                    if link not in seen:
                        seen[link] = depth + 1
                        # 检查链接是否在同一个域内
                        if same_domain(seed_url, link):
                            # 成功! 将此新链接添加到队列
                            crawl_queue.append(link)

            # 检查是否已达到下载的最大值
            num_urls += 1
            if num_urls == max_urls:
                break
        else:
            print ('Blocked by robots.txt:', url)

#节流
class Throttle:
    """
    通过在对同一域之间请求休眠来限制下载
    """
    def __init__(self, delay):
        #每个域的下载之间的延迟量
        self.delay = delay
        # 上次访问域时的时间戳
        self.domains = {}
        
    def wait(self, url):
        """
       如果最近访问过这个域,则会延迟
        """
        domain = urlsplit(url).netloc
        last_accessed = self.domains.get(domain)
        if self.delay > 0 and last_accessed is not None:
            sleep_secs = self.delay - (datetime.now() - last_accessed).seconds
            if sleep_secs > 0:
                time.sleep(sleep_secs)
        self.domains[domain] = datetime.now()

#下载网址
def download(url, headers, proxy, num_retries, data=None):
    print ('Downloading:', url)
    request = urllib.request.Request(url, data, headers)
    opener = urllib.request.build_opener()
    if proxy:
        proxy_params = {urlparse.urlparse(url).scheme: proxy}
        opener.add_handler(urllib.request.ProxyHandler(proxy_params))
    try:
        response = opener.open(request)
        html = response.read()
        code = response.code
    except urllib2.URLError as e:
        print( 'Download error:', e.reason)
        html = ''
        if hasattr(e, 'code'):
            code = e.code
            if num_retries > 0 and 500 <= code < 600:
                # 重试 5XX HTTP errors(服务器错误)
                html = download(url, headers, proxy, num_retries-1, data)
        else:
            code = None
    #python3需转化html编码格式
    html = html.decode('utf-8')
    return html

def normalize(seed_url, link):
    """
    通过删除哈希和添加域来规范化此URL
    """
    link, _ = urlparse.urldefrag(link) # 删除哈希以避免重复
    return urlparse.urljoin(seed_url, link)

def same_domain(url1, url2):
    """
   如果两个URL都属于同一个域,则返回True
    """
    return urlparse.urlparse(url1).netloc == urlparse.urlparse(url2).netloc

def get_robots(url):
    """
    初始化此域的机器人解析器
    """
    rp = urllib.robotparser.RobotFileParser()
    rp.set_url(urljoin(url, '/robots.txt'))
    rp.read()
    return rp
        
def get_links(html):
    """
   从html返回链接列表 
    """
    #一个正则表达式,用于从网页中提取所有链接
    webpage_regex = re.compile('<a[^>]+href=["\'](.*?)["\']', re.IGNORECASE)
    # 来自网页的所有链接的列表
    return webpage_regex.findall(html)

'''
if __name__ == '__main__'的意思是:当.py文件被直接运行时,
if __name__ == '__main__'之下的代码块将被运行;当.py文件以模块形式被
导入时,if __name__ == '__main__'之下的代码块不被运行。
'''
if __name__ == '__main__':
    link_crawler('http://www.weather.com.cn/weather/101020100.shtml', '/(index|view)', delay=0, num_retries=1, user_agent='BadCrawler')
    link_crawler('http://www.weather.com.cn/weather/101020100.shtml', '/(index|view)', delay=0, num_retries=1, max_depth=1, user_agent='GoodCrawler')

import csv
from urllib.parse import urlparse
import lxml.html
from link_crawler import link_crawler

#使用回调类而非回调函数以保持csv中write属性的状态
class ScrapeCallback:
    def __init__(self):
    	#不写newline=''的话会出现空行
        self.writer = csv.writer(open('weather.csv', 'w',newline=''))
        #天气 最高温/最低温 风力
        self.fields = ('天气','最高/低温','风力')
        self.writer.writerow(self.fields)

    def __call__(self, url, html):
         tree = lxml.html.fromstring(html)
         td=tree.cssselect('p.wea')
         n=0
         for wea in td:
             row=[]
             row.append(tree.cssselect('p.wea')[n].text_content().strip('\n'))
             row.append(tree.cssselect('p.tem')[n].text_content().strip('\n'))
             row.append(tree.cssselect('p.win')[n].text_content().strip('\n'))
             n=n+1
             self.writer.writerow(row)

if __name__ == '__main__':
	html='http://www.weather.com.cn/weather/101020100.shtml'
    link_crawler(html, '/(index|view)', scrape_callback=ScrapeCallback())

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转载自blog.csdn.net/qq_38929220/article/details/83902818