爬取B站每日排行榜前一百并存入mysql数据库

爬取B站每日排行榜前一百并存入mysql数据库

后面准备做Echarts可视化，为了完成作业。

爬取数据

sparder.py

import requests
import parsel
import csv
import inset_db
import re
def get_popular_data():
    f = open('B站排行榜数据.csv', mode='w', encoding='utf-8-sig', newline='')
    csv_writer = csv.DictWriter(f, fieldnames=['id','title', 'bf', 'dm', 'author', 'score', 'url'])
    csv_writer.writeheader()
    url = 'https://www.bilibili.com/v/popular/rank/all?spm_id_from=333.851.b_7072696d61727950616765546162.3'
    headers = {
     
        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'
    }
    response = requests.get(url=url, headers=headers)
    selector = parsel.Selector(response.text)
    lis = selector.css('.rank-list li')
    data=[]
    dit = {
     }
    i=1
    for li in lis:
        title = li.css('.info a::text').get()    # 标题
        bf_info = li.css('div.content > div.info > div.detail > span:nth-child(1)::text').get().strip()     # 播放量
        dm_info = li.css('div.content > div.info > div.detail > span:nth-child(2)::text').get().strip()     # 弹幕量
        bq_info = li.css('div.content > div.info > div.detail > a > span::text').get().strip()      # 作者
        score = li.css('.pts div::text').get()      # 综合得分
        page_url = li.css('.img a::attr(href)').get()  # 视频地址
       # print("bf量与弹幕量",bf_info,dm_info)
        a = re.search("\d+(\.\d+)?", bf_info)
        bf_info = float(a.group())
        b = re.search("\d+(\.\d+)?", dm_info)
        dm_info = float(b.group())
        if dm_info<20:
            dm_info=dm_info*10000
        dit = {
     
            'id':i,
            'title': title,
            'bf': bf_info,
            'dm': dm_info,
            'author': bq_info,
            'score': score,
            'url': page_url,
        }
        csv_writer.writerow(dit)
        inset_db.insert(dit['id'],dit['title'],dit['bf'],dit['dm'],dit['author'],dit['score'],dit['url'])
        i=i+1
        data.append(dit)
    inset_db.close_()
    return data
data=get_popular_data()
#print(data)

inset_db.py

import pymysql

conn = pymysql.connect(host="127.0.0.1", user="root", password="123456", database="visual", charset="utf8")
cursor = conn.cursor()


def insert(id, title, bf, dm, author,score,url):
    #sql = "INSERT INTO bilibli1(id, title,bf,dm,author,score,url) VALUES (%s,%s,%s,%s,%s,%s,%s);"
    sql = "UPDATE bilibli1 SET title=%s,bf=%s,dm=%s,author=%s,score=%s,url=%s WHERE id=%s;"
    print(sql)
    try:
        #cursor.execute(sql)
        #cursor.execute(sql, [id, title, bf, dm, author, score, url])
        cursor.execute(sql, [ title, bf, dm, author, score, url,id])

        conn.commit()
    except:
        print("插入错误")
        conn.rollback()


def close_():
    cursor.close()
    conn.close()

这是保存的CSV文件

这是Mysql 数据库存入的内容

我的数据库名称为visual，表名为bilibli1。