粤港澳大湾区7个机场新闻数据的评分系统

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粤港澳大湾区7个机场新闻数据的评分系统

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一、获取网页源代码

1.引入所需库

import requests
import re
import pymysql
import time

2.请求头

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'}

3.需要挖取新闻数据的机场

companys = ['广州白云机场', '深圳宝安机场','惠州平潭机场', '佛山沙堤机场', '珠海金湾机场', '香港国际机场', '澳门国际机场']

4.建立挖取某机场新闻的函数，获得该网页的源代码

def baidu(i,company):
    num = (i-1)*10
    url = 'https://www.baidu.com/s?tn=news&rtt=4&bsst=1&cl=2&wd=' + company + '&medium=0&x_bfe_rqs=03E80&tngroupname=organic_news&newVideo=12&rsv_dl=news_b_pn&pn=' + str(num)
    res = requests.get(url, headers=headers).text

二、提取信息并清洗数据

1.提取源代码中所需的网址、标题、新闻来源和发布日期的正则表达式

p_href = '<h3 class="news-title_1YtI1"><a href="(.*?)"'
href = re.findall(p_href, res, re.S)
p_title = '<h3 class="news-title_1YtI1"><.*?>(.*?)<!--/s-text--></a></h3>'
title = re.findall(p_title, res, re.S)
p_date = '<span class="c-color-gray2 c-font-normal">(.*?)</span>'
date = re.findall(p_date, res, re.S)
p_source = '<span class="c-color-gray c-font-normal c-gap-right">(.*?)</span>'
source = re.findall(p_source, res, re.S)

2.清洗标题及发布日期中的干扰信息

for i in range(len(href)):
    title[i] = title[i].strip()
    title[i] = re.sub('<.*?>', '', title[i])
    date[i] = date[i].split(' ')[0]
    date[i] = re.sub('年', '-', date[i])
    date[i] = re.sub('月', '-', date[i])
    date[i] = re.sub('日', '', date[i])
    if ('小时' in date[i]) or ('分钟' in date[i]):
        date[i] = time.strftime("%Y-%m-%d")
    else:
        date[i] = date[i]

三、对新闻标题和新闻正文进行评分

score = []
keywords1 = ['正常', '涨停', '增加', '超过', '增大', '通过', '恢复', '涨幅', '优质', '首个', '迈入']
keywords2 = ['违约', '诉讼', '下降', '阻碍', '空难', '噪音', '扰民', '黑幕']
for i in range(len(title)):
    num = 0
    # 1.获取新闻正文
    try:
        article = requests.get(href[i], headers=headers, timeout=10).text
    except:
        article = '新闻爬取失败'
    # 2.解决新闻正文中可能出现的乱码问题
    try:
        article = article.encode('ISO-8859-1').decode('utf-8')  # 解码为UTF-8
    except:
        try:
            article = article.encode('ISO-8859-1').decode('gbk')  # 解码为GBK
        except:
            article = article  # 保持本身的编码
    # 3.筛选新闻正文中真正的正文内容，忽略旁边的滚动新闻的内容
    p_article = '<p>(.*?)</p>'
    article_main = re.findall(p_article, article)  # 获取<p>标签里的正文信息，结果是一个列表
    article = ''.join(article_main)  # 将列表转换成为字符串
    for k in keywords1:
        if (k in article) or (k in title[i]):
            num += 5
    score.append(num)
    for L in keywords2:
        if (L in article) or (L in title[i]):
            num -= 5
    score.append(num)

四、将数据存入MySQL数据库

for i in range(len(title)):
    db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='pachong', charset='utf8')
    cur = db.cursor()
    sql = 'INSERT INTO article(company,title,href,source,date,score) VALUES (%s,%s,%s,%s,%s,%s)'
    cur.execute(sql, (company, title[i], href[i], source[i], date[i], score[i]))
    db.commit()
    cur.close()
    db.close()

五、批量爬取7个机场每个机场5页共35页百度网的数据并存入MySQL数据库

for company in companys:
    for i in range(5):
        baidu(i, company)
        print(company + '第' + str(i+1) + "页爬取成功")

最终结果

附上所有代码

# ===============================
# 粤港澳大湾区7个机场新闻数据的评分系统
# ===============================
# 一、获取网页源代码
# 1.引入所需库
import requests
import re
import pymysql
import time
# 2.请求头
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'}
# 3.需要挖取新闻数据的机场
companys = ['广州白云机场', '深圳宝安机场', '惠州平潭机场', '佛山沙堤机场', '珠海金湾机场', '香港国际机场', '澳门国际机场']
# 4.建立挖取某机场新闻的函数，获得该网页的源代码
def baidu(i,company):
    num = (i-1)*10
    url = 'https://www.baidu.com/s?tn=news&rtt=4&bsst=1&cl=2&wd=' + company + '&medium=0&x_bfe_rqs=03E80&tngroupname=organic_news&newVideo=12&rsv_dl=news_b_pn&pn=' + str(num)
    res = requests.get(url, headers=headers).text

# 二、提取信息并清洗数据
# 1.提取源代码中所需的网址、标题、新闻来源和发布日期的正则表达式
    p_href = '<h3 class="news-title_1YtI1"><a href="(.*?)"'
    href = re.findall(p_href, res, re.S)
    p_title = '<h3 class="news-title_1YtI1"><.*?>(.*?)<!--/s-text--></a></h3>'
    title = re.findall(p_title, res, re.S)
    p_date = '<span class="c-color-gray2 c-font-normal">(.*?)</span>'
    date = re.findall(p_date, res, re.S)
    p_source = '<span class="c-color-gray c-font-normal c-gap-right">(.*?)</span>'
    source = re.findall(p_source, res, re.S)

# 2.清洗标题及发布日期中的干扰信息
    for i in range(len(href)):
        title[i] = title[i].strip()
        title[i] = re.sub('<.*?>', '', title[i])
        date[i] = date[i].split(' ')[0]
        date[i] = re.sub('年', '-', date[i])
        date[i] = re.sub('月', '-', date[i])
        date[i] = re.sub('日', '', date[i])
        if ('小时' in date[i]) or ('分钟' in date[i]):
            date[i] = time.strftime("%Y-%m-%d")
        else:
            date[i] = date[i]

# 三、对新闻标题和新闻正文进行评分
    score = []
    keywords1 = ['正常', '涨停', '增加', '超过', '增大', '通过', '恢复', '涨幅', '优质', '首个', '迈入']
    keywords2 = ['违约', '诉讼', '下降', '阻碍', '空难', '噪音', '扰民', '黑幕']
    for i in range(len(title)):
        num = 0
        # 1.获取新闻正文
        try:
            article = requests.get(href[i], headers=headers, timeout=10).text
        except:
            article = '新闻爬取失败'
        # 2.解决新闻正文中可能出现的乱码问题
        try:
            article = article.encode('ISO-8859-1').decode('utf-8')  # 解码为UTF-8
        except:
            try:
                article = article.encode('ISO-8859-1').decode('gbk')  # 解码为GBK
            except:
                article = article  # 保持本身的编码
        # 3.筛选新闻正文中真正的正文内容，忽略旁边的滚动新闻的内容
        p_article = '<p>(.*?)</p>'
        article_main = re.findall(p_article, article)  # 获取<p>标签里的正文信息，结果是一个列表
        article = ''.join(article_main)  # 将列表转换成为字符串
        for k in keywords1:
            if (k in article) or (k in title[i]):
                num += 5
        score.append(num)
        for L in keywords2:
            if (L in article) or (L in title[i]):
                num -= 5
        score.append(num)

# 四、将数据存入MySQL数据库
    for i in range(len(title)):
        db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='pachong', charset='utf8')
        cur = db.cursor()
        sql = 'INSERT INTO article(company,title,href,source,date,score) VALUES (%s,%s,%s,%s,%s,%s)'
        cur.execute(sql, (company, title[i], href[i], source[i], date[i], score[i]))
        db.commit()
        cur.close()
        db.close()

# 五、批量爬取7个机场每个机场5页共35页百度网的数据并存入MySQL数据库
for company in companys:
    for i in range(5):
        baidu(i, company)
        print(company + '第' + str(i+1) + "页爬取成功")