爬取搜狐新闻健康类
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#-*-coding:utf-8-*- # @Time :2021/4/17 14:58 # @Author:shuaichao # @File :.py # @Software: PyCharm import gzip from bs4 import BeautifulSoup #网页解析，获悉数据.231 import re #正则表达式 import urllib.request,urllib.error #制定URL，获取网页数据 import pymysql import traceback import time import requests import json #得到制定一个URL的网页内容 from pip._vendor.six \\ import BytesIO def askUrl(url): head={ # "Cookie": "pgv_pvid = 2445437098;RK = IWJFENCj / 2;ptcz = 0dc31e9c452a0701259378ea4d93881f2a4d4ab7d29d637d6da1b0b24d857f4c;Qs_lvt_323937 = 1588214559;Qs_pv_323937 = 3783410537228747000;pgv_pvi = 5491528704;eas_sid = t196y05258V4B6g478m7t073P2;luin = o0775929901;lskey = 000100001264ed0bece633b72b741fb54e5137a729bfa3647db8a18c0ee96579fd05aff03206e6cafbeb0f88", # "Connection": "keep-alive", # "Cache-Control": "max-age = 0", # "Accept-Language": "zh - CN, zh;q = 0.9", # "Accept-Encoding": "gzip, deflate, br", # "Accept": "text / html, application / xhtml + xml, application / xml;q = 0.9, image / webp, image / apng, * / *;q = 0.8", "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36 Edg/89.0.774.57" } if __name__ == \'__main__\': request = urllib.request.Request(url, headers=head) html = "" try: response = urllib.request.urlopen(request) html = response.read().decode("utf-8") except urllib.error.URLError as e: if hasattr(e,"code"): print(e.code) if hasattr(e,"reason"): print(e.reasen) return html #链接数据库 def get_conn(): conn = pymysql.connect( host="localhost", user="root", passwd="qwer1234", db="news", charset="utf8mb4" ) cursor = conn.cursor() return conn, cursor #关闭数据库 def close_conn(conn, cursor): if cursor: cursor.close() if conn: conn.close() #更新新闻数据 def update_news(allinfo): cursor = None conn = None try: conn, cursor = get_conn() sql = "insert into new(title, article, type) values(%s,%s,%s)" print(f"{time.asctime()}开始更新最新数据") for item in allinfo: cursor.execute(sql, item) conn.commit() print(f"{time.asctime()}更新最新数据完毕") except: traceback.print_exc() finally: close_conn(conn, cursor) #爬取网页信息 def get_info(baseurl): html = askUrl(baseurl) bs = BeautifulSoup(html, "html.parser") return bs #soup处理并转换成字符串 def transport(bs, info): ex_info = bs.find_all(class_=info) info = str(ex_info) return ex_info, info if __name__=="__main__": head = { # "Cookie": "pgv_pvid = 2445437098;RK = IWJFENCj / 2;ptcz = 0dc31e9c452a0701259378ea4d93881f2a4d4ab7d29d637d6da1b0b24d857f4c;Qs_lvt_323937 = 1588214559;Qs_pv_323937 = 3783410537228747000;pgv_pvi = 5491528704;eas_sid = t196y05258V4B6g478m7t073P2;luin = o0775929901;lskey = 000100001264ed0bece633b72b741fb54e5137a729bfa3647db8a18c0ee96579fd05aff03206e6cafbeb0f88", # "Connection": "keep-alive", # "Cache-Control": "max-age = 0", # "Accept-Language": "zh - CN, zh;q = 0.9", # "Accept-Encoding": "gzip, deflate, br", # "Accept": "text / html, application / xhtml + xml, application / xml;q = 0.9, image / webp, image / apng, * / *;q = 0.8", "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36 Edg/89.0.774.57" } # 存放所有的新闻网址 linkall = [] # 所有存放新闻的.js文件 linkJQ = [] # 所有超链接id Linkid = [] # 所有超链接Authorid LinkAid = [] # 存放所有标题 allTitle = [] # 存放所有文章 allArticle = [] # 存放所有图片链接 allImg = [] # 汇总所有存入mysql的数据 allinfo = [] #去除json数据中的非法字符 # str = \'https://v2.sohu.com/integration-api/mix/region/10459?size=25&adapter=pc&secureScore=50&page=2&pvId=16193134284174ePlzLC&requestId=2011032041009993_1619313472935&callback=jQuery1124048872472139460466_1619313428177&_=1619313428180\' # res = requests.get(str, headers=head) # r = res.text.replace(\'/**/jQuery1124048872472139460466_1619313428177(\', \'\')[:-2] # response_data = json.loads(r, strict=False) # print(response_data[\'data\'][0][\'authorId\']) # print(response_data[\'data\'][0][\'id\']) # 制作每个js网页的链接 index = \'https://v2.sohu.com/integration-api/mix/region/6167?size=500&adapter=pc&page=1\' res = requests.get(index, headers=head) response_data = json.loads(res.text) #存入每个新闻的id和authorid for index, value in enumerate(response_data[\'data\']): if int(response_data[\'data\'][index][\'id\']) > 1000000: Linkid.append(response_data[\'data\'][index][\'id\']) LinkAid.append(response_data[\'data\'][index][\'authorId\']) # 制作旅游新闻所有网址 for index, value in enumerate(Linkid): linkall.append(\'https://www.sohu.com/a/\' + str(Linkid[index])+\'_\' + str(LinkAid[index])) # 最后一个链接是广告，删除 # linkall.pop() #开始爬取主要数据 for index, value in enumerate(linkall): bs = get_info(value) title = bs.select("h1") article = bs.select("article > p") if title and article: str = \'\' # 总文章表添加文章 for item in range(1, len(article)): str += article[item].get_text() if len(str) * 4 > 16000: print("超出可储存长度") del linkall[index] continue # 总标题表添加标题 allTitle.append(title[0].get_text().strip().replace("原创", "").replace("搜狐健康课·精编 |", "").replace("搜狐医药 |", "").replace("\\n", "")) print(index) print(value) print(title[0].get_text().strip().replace("原创", "").replace("搜狐健康课·精编 |", "").replace("搜狐医药 |", "")) # article = article[0].get_text().replace("返回搜狐，查看更多", "").replace("责任编辑：", "").replace(r"\\n", "") allArticle.append(str.replace("返回搜狐，查看更多", "").replace("责任编辑：", "").replace("出品 | 搜狐健康作者 |", "").replace(" 出品 | 搜狐健康 作者 | ", "")) # 总图片表添加图片 # ex_info, info = transport(bs, "ql-align-center") # findImg = re.compile(r\'<p class="ql-align-center"><img max-width="600" src="(.*?)"/></p>\') # Img = re.findall(findImg, info) # if Img: # allImg.append(Img) # else: # allImg.append("") else: print(index) print(value) del linkall[index] for index, value in enumerate(allTitle): allinfo.append([value]) allinfo[index].append(allArticle[index]) allinfo[index].append(\'健康\') update_news(allinfo)
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