标签：bre wow pytho 筛选 name bsp 关于 通过 com
获取网页数据无非就三步！
第一步：首先通过python获取到前端html完整代码！（需要用到request模块）
第二步：通过获取到的html代码进行过滤，获取到有用天气数据 （需要用到bs4模块下的BeautifulSoup）
第三步：获取到的天气数据，进行本地化保存
PS：其它用到的模块：time、random、socket、csv、http.client
废话不多说，直接上代码！
首先，导入引用模块
from bs4 import BeautifulSoup import requests, time, random, socket, csv import http.client
第一步：首先通过python获取到前端html完整代码！（需要用到request模块）
# 获取请求网址的完整HTML代码 def htmlcontent(url, data=None): header = { ‘Accept‘: ‘text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8‘, ‘Accept-Encoding‘: ‘gzip, deflate, sdch‘, ‘Accept-Language‘: ‘zh-CN,zh;q=0.8‘, ‘Connection‘: ‘keep-alive‘, ‘User-Agent‘: ‘Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.235‘ } # request 的请求头 timeout = random.choice(range(80, 180)) while True: try: rep = requests.get(url, headers=header, timeout=timeout) # 请求url地址，获得返回response信息 rep.encoding = ‘utf-8‘ break except socket.timeout as e: print(‘3:‘, e) time.sleep(random.choice(range(8, 15))) except socket.error as e: print(‘4:‘, e) time.sleep(random.choice(range(20, 60))) except http.client.BadStatusLine as e: print(‘5:‘, e) time.sleep(random.choice(range(30, 80))) except http.client.IncompleteRead as e: print(‘6:‘, e) time.sleep(random.choice(range(5, 15))) return rep.text # 返回的Html全部代码
第二步：通过获取到的html代码进行过滤，获取到有用天气数据 （需要用到bs4模块下的BeautifulSoup）
# 过滤筛选有用数据 def weatherdata(html_text): data_al = [] bs = BeautifulSoup(html_text, "html.parser") # 创建BeautifulSoup对象并以html.parser方式解析 li = bs.body.find(‘div‘, {‘id‘: ‘7d‘}).find(‘ul‘).find_all(‘li‘) # 根据前端HTML代码的标签获取具体天气数据 for data in li: temp = [] date = data.find(‘h1‘).string inf = data.find_all(‘p‘) weather = inf[0].string # 天气 temperature_highest = inf[1].find(‘span‘).string # 最高温度 temperature_low = inf[1].find(‘i‘).string # 最低温度 temp.append(date) # 添加日期 temp.append(weather) # 添加天气 temp.append(temperature_low) # 添加最低温度 temp.append(temperature_highest) # 添加最高温度 data_al.append(temp) # 数据全部储存在一个列表中 return data_al
第三步：获取到的天气数据，进行本地化保存
# 把数据写入本地文件 def writedata(data, name): with open(name, ‘a‘, errors=‘ignore‘, newline=‘‘) as f: f_csv = csv.writer(f) f_csv.writerows(data)
最后，进行调用
if __name__ == ‘__main__‘: url = ‘http://www.weather.com.cn/weather/101010100.shtml‘ # 获取天气数据的网址 html = htmlcontent(url) # 获取网页信息 result = weatherdata(html) # 解析网页信息，拿到需要的数据 writedata(result, ‘C:/Users/LoveCounter/Desktop/天气test.csv‘) # 数据写入到 csv文档中
完整性代码，如下：
from bs4 import BeautifulSoup import requests, time, random, socket, csv import http.client # 获取请求网址的完整HTML代码 def htmlcontent(url, data=None): header = { ‘Accept‘: ‘text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8‘, ‘Accept-Encoding‘: ‘gzip, deflate, sdch‘, ‘Accept-Language‘: ‘zh-CN,zh;q=0.8‘, ‘Connection‘: ‘keep-alive‘, ‘User-Agent‘: ‘Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.235‘ } # request 的请求头 timeout = random.choice(range(80, 180)) while True: try: rep = requests.get(url, headers=header, timeout=timeout) # 请求url地址，获得返回response信息 rep.encoding = ‘utf-8‘ break except socket.timeout as e: print(‘3:‘, e) time.sleep(random.choice(range(8, 15))) except socket.error as e: print(‘4:‘, e) time.sleep(random.choice(range(20, 60))) except http.client.BadStatusLine as e: print(‘5:‘, e) time.sleep(random.choice(range(30, 80))) except http.client.IncompleteRead as e: print(‘6:‘, e) time.sleep(random.choice(range(5, 15))) return rep.text # 返回的Html全部代码 # 过滤筛选有用数据 def weatherdata(html_text): data_al = [] bs = BeautifulSoup(html_text, "html.parser") # 创建BeautifulSoup对象并以html.parser方式解析 li = bs.body.find(‘div‘, {‘id‘: ‘7d‘}).find(‘ul‘).find_all(‘li‘) # 根据前端HTML代码的标签获取具体天气数据 for data in li: temp = [] date = data.find(‘h1‘).string inf = data.find_all(‘p‘) weather = inf[0].string # 天气 temperature_highest = inf[1].find(‘span‘).string # 最高温度 temperature_low = inf[1].find(‘i‘).string # 最低温度 temp.append(date) # 添加日期 temp.append(weather) # 添加天气 temp.append(temperature_low) # 添加最低温度 temp.append(temperature_highest) # 添加最高温度 data_al.append(temp) # 数据全部储存在一个列表中 return data_al # 把数据写入本地文件 def writedata(data, name): with open(name, ‘a‘, errors=‘ignore‘, newline=‘‘) as f: f_csv = csv.writer(f) f_csv.writerows(data) if __name__ == ‘__main__‘: url = ‘http://www.weather.com.cn/weather/101010100.shtml‘ # 获取天气数据的网址 html = htmlcontent(url) # 获取网页信息 result = weatherdata(html) # 解析网页信息，拿到需要的数据 writedata(result, ‘C:/Users/LoveCounter/Desktop/天气test.csv‘) # 数据写入到 csv文档中
标签：bre wow pytho 筛选 name bsp 关于 通过 com
原文地址：https://www.cnblogs.com/ngz311616/p/9525045.html
