Python爬虫+可视化实例：网易云音乐歌单-起风网

/ 01 / 网页分析

01 歌单索引页

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选取华语热门歌单页面。

获取歌单播放量，名称，及作者，还有歌单详情页链接。

本次一共获取了1302张华语歌单。

02 歌单详情页

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获取歌单详情页信息，信息比较多。

有歌单名，收藏量，评论数，标签，介绍，歌曲总数，播放量，收录的歌名。

这里歌曲的时长、歌手、专辑信息在网页的iframe中。

需要用selenium去获取信息，鉴于耗时过长，笔者选择放弃…

有兴趣的小伙伴，可以试一下哈…

/ 02 / 数据获取

01 歌单索引页

from bs4 import BeautifulSoupimport requestsimport timeheaders = {    'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'}for i in range(0, 1330, 35):    print(i)    time.sleep(2)    url = 'https://music.163.com/discover/playlist/?cat=欧美&order=hot&limit=35&offset=' + str(i)    response = requests.get(url=url, headers=headers)    html = response.text    soup = BeautifulSoup(html, 'html.parser')    # 获取包含歌单详情页网址的标签    ids = soup.select('.dec a')    # 获取包含歌单索引页信息的标签    lis = soup.select('#m-pl-container li')    print(len(lis))    for j in range(len(lis)):        # 获取歌单详情页地址        url = ids[j]['href']        # 获取歌单标题        title = ids[j]['title']        # 获取歌单播放量        play = lis[j].select('.nb')[0].get_text()        # 获取歌单贡献者名字        user = lis[j].select('p')[1].select('a')[0].get_text()        # 输出歌单索引页信息        print(url, title, play, user)        # 将信息写入CSV文件中        with open('playlist.csv', 'a+', encoding='utf-8-sig') as f:            f.write(url + ',' + title + ',' + play + ',' + user + '')

获取歌单索引页信息如下，共1302张华语歌单。

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02 歌单详情页

from bs4 import BeautifulSoupimport pandas as pdimport requestsimport timedf = pd.read_csv('playlist.csv', header=None, error_bad_lines=False, names=['url', 'title', 'play', 'user'])headers = {    'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'}for i in df['url']:    time.sleep(2)    url = 'https://music.163.com' + i    response = requests.get(url=url, headers=headers)    html = response.text    soup = BeautifulSoup(html, 'html.parser')    # 获取歌单标题    title = soup.select('h2')[0].get_text().replace(',', '，')    # 获取标签    tags = []    tags_message = soup.select('.u-tag i')    for p in tags_message:        tags.append(p.get_text())    # 对标签进行格式化    if len(tags) > 1:        tag = '-'.join(tags)    else:        tag = tags[0]    # 获取歌单介绍    if soup.select('#album-desc-more'):        text = soup.select('#album-desc-more')[0].get_text().replace('', '').replace(',', '，')    else:        text = '无'    # 获取歌单收藏量    collection = soup.select('#content-operation i')[1].get_text().replace('(', '').replace(')', '')    # 歌单播放量    play = soup.select('.s-fc6')[0].get_text()    # 歌单内歌曲数    songs = soup.select('#playlist-track-count')[0].get_text()    # 歌单评论数    comments = soup.select('#cnt_comment_count')[0].get_text()    # 输出歌单详情页信息    print(title, tag, text, collection, play, songs, comments)    # 将详情页信息写入CSV文件中    with open('music_message.csv', 'a+', encoding='utf-8-sig') as f:        f.write(title + ',' + tag + ',' + text + ',' + collection + ',' + play + ',' + songs + ',' + comments + '')    # 获取歌单内歌曲名称    li = soup.select('.f-hide li a')    for j in li:        with open('music_name.csv', 'a+', encoding='utf-8-sig') as f:            f.write(j.get_text() + '')

获取的1302张华语歌单的详情。