python 爬虫爬取天气

爬虫5步曲：

1.安装requests and beacutifulsoup4库

2.获取爬虫所需的header 和cookie

3.获取网页，解析网页

4.分析得到的数据简化地址

5.爬取内容，清洗数据

1.安装requests&beautifulsoup4

    pip3 install requests

    pip3 install beautifulsoup4

2.获取爬虫所需的header 和cookie

打开想爬取的网页后按下F12打开开发者模式，就会出现网页的js语言设计部分。如下图所示。找到网页上的Network部分。然后按下ctrl+R刷新页面。如果，进行就有文件信息，就不用刷新了，当然刷新了也没啥问题。然后，我们浏览Name这部分，找到我们想要爬取的文件，鼠标右键，选择copy，复制下网页的URL。就如下图所示。

复制好URL后，我们就进入Convert curl commands to code (curlconverter.com)。这个网页可以根据你复制的URL，自动生成header和cookie，如下图。生成的header和cookie，直接复制走就行，粘贴到程序中。

3.获取网页，解析网页

我们将header和cookie搞到手后，就可以将它复制到我们的程序里。之后，使用request请求，就可以获取到网页了。这个时候，我们需要回到网页。同样按下F12进入开发者模式，找到网页的Elements部分。用左上角的小框带箭头的标志，如下图，点击网页内容，这个时候网页就会自动在右边显示出你获取网页部分对应的代码。

4.分析得到的数据简化地址

实刚才复制的selector就相当于网页上对应部分存放的地址。由于我们需要的是网页上的一类信息，所以我们需要对获取的地址进行分析，提取。

"div.c-span3"

5.爬取内容，清洗数据

之后我们就要soup和text过滤掉不必要的信息，比如js类语言，排除这类语言对于信息受众阅读的干扰。这样我们就成功的将信息，爬取下来了

#爬取内容
content="div.c-span3"

源代码：

import requests
from bs4 import BeautifulSoup
import requests

cookies = {
    'BIDUPSID': 'ABC770A56AAD1E552FAB99C7CE36ECAA',
    'PSTM': '1653634850',
    'BAIDUID': 'ABC770A56AAD1E552106D5A8BAF9EBC5:FG=1',
    'BDSFRCVID_BFESS': '9d0OJeCmHRK6MljD4uC9uQHHCeKK0gOTHllnV9rzfBLFl7tVJeC6EG0Ptf8g0KubuTkzogKK0gOTH6KF_2uxOjjg8UtVJeC6EG0Ptf8g0M5',
    'BAIDUID_BFESS': '6D7995BB1AE2F8100AED6C5BDFC80A9B:FG=1',
    'BA_HECTOR': '2ha0802g8125252g0h2l36fp1hfjq1j17',
    'BDORZ': 'B490B5EBF6F3CD402E515D22BCDA1598',
    'SE_LAUNCH': '5%3A1660553705',
    'POLYFILL': '0',
    'delPer': '0',
    'H_WISE_SIDS': '107311_110085_131861_180636_196426_204904_206122_208721_209568_210294_210321_211435_211985_212295_212740_212797_212867_213040_213351_214807_215727_216842_216941_217049_217086_217167_217915_218022_218454_218598_218619_219067_219943_219946_220014_220602_220662_220856_221008_221118_221121_221391_221411_221439_221468_221478_221501_221697_221796_221825_221871_221901_221919_222276_222298_222390_222396_222500_222616_222618_222620_222625_222773_222780_222792_222955_223048_223064_223134_223238_223253_223375_223474_223599_223766_223788_223825_223853_223919_224048_224068_224085_224275_224438_224572_224798_224815_224867_8000087_8000124_8000135_8000146_8000149_8000151_8000164_8000170_8000178_8000185',
    'H_WISE_SIDS_BFESS': '107311_110085_131861_180636_196426_204904_206122_208721_209568_210294_210321_211435_211985_212295_212740_212797_212867_213040_213351_214807_215727_216842_216941_217049_217086_217167_217915_218022_218454_218598_218619_219067_219943_219946_220014_220602_220662_220856_221008_221118_221121_221391_221411_221439_221468_221478_221501_221697_221796_221825_221871_221901_221919_222276_222298_222390_222396_222500_222616_222618_222620_222625_222773_222780_222792_222955_223048_223064_223134_223238_223253_223375_223474_223599_223766_223788_223825_223853_223919_224048_224068_224085_224275_224438_224572_224798_224815_224867_8000087_8000124_8000135_8000146_8000149_8000151_8000164_8000170_8000178_8000185',
    'BDSVRTM': '54',
    'PSINO': '5',
    'H_PS_PSSID': '36549_36755_36641_37107_36954_34812_36917_36569_37077_37137_37055_26350',
    'ab_sr': '1.0.1_MTU4MzA0NmM2MWUxMTA0MTczZmJlMjhmZGFkYTM1ZTE1MWRmNTA0NzM4ZTliYjcwNDkzZThkYjNmZTViNjNmNjVkY2NjMGFhMzUyNzUwNGNlOTYyNTg1NDAwMzI2MjBhZTBjMTNhNGRlZTQ5ZjU5NDQwMmExYjhmOTYzYmVkNDdmYTcxOGVlMjQ3NDM4ZWUzYTM0MDdlZTY0M2MxYTE1Zg==',
    '__bsi': '10904855338309584892_00_31_R_N_238_0303_c02f_Y',
    'BDSVRBFE': 'Go',
}

headers = {
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
    'Accept-Language': 'en-US,en;q=0.9',
    'Cache-Control': 'max-age=0',
    'Connection': 'keep-alive',
    # Requests sorts cookies= alphabetically
    # 'Cookie': 'BIDUPSID=ABC770A56AAD1E552FAB99C7CE36ECAA; PSTM=1653634850; BAIDUID=ABC770A56AAD1E552106D5A8BAF9EBC5:FG=1; BDSFRCVID_BFESS=9d0OJeCmHRK6MljD4uC9uQHHCeKK0gOTHllnV9rzfBLFl7tVJeC6EG0Ptf8g0KubuTkzogKK0gOTH6KF_2uxOjjg8UtVJeC6EG0Ptf8g0M5; BAIDUID_BFESS=6D7995BB1AE2F8100AED6C5BDFC80A9B:FG=1; BA_HECTOR=2ha0802g8125252g0h2l36fp1hfjq1j17; BDORZ=B490B5EBF6F3CD402E515D22BCDA1598; SE_LAUNCH=5%3A1660553705; POLYFILL=0; delPer=0; H_WISE_SIDS=107311_110085_131861_180636_196426_204904_206122_208721_209568_210294_210321_211435_211985_212295_212740_212797_212867_213040_213351_214807_215727_216842_216941_217049_217086_217167_217915_218022_218454_218598_218619_219067_219943_219946_220014_220602_220662_220856_221008_221118_221121_221391_221411_221439_221468_221478_221501_221697_221796_221825_221871_221901_221919_222276_222298_222390_222396_222500_222616_222618_222620_222625_222773_222780_222792_222955_223048_223064_223134_223238_223253_223375_223474_223599_223766_223788_223825_223853_223919_224048_224068_224085_224275_224438_224572_224798_224815_224867_8000087_8000124_8000135_8000146_8000149_8000151_8000164_8000170_8000178_8000185; H_WISE_SIDS_BFESS=107311_110085_131861_180636_196426_204904_206122_208721_209568_210294_210321_211435_211985_212295_212740_212797_212867_213040_213351_214807_215727_216842_216941_217049_217086_217167_217915_218022_218454_218598_218619_219067_219943_219946_220014_220602_220662_220856_221008_221118_221121_221391_221411_221439_221468_221478_221501_221697_221796_221825_221871_221901_221919_222276_222298_222390_222396_222500_222616_222618_222620_222625_222773_222780_222792_222955_223048_223064_223134_223238_223253_223375_223474_223599_223766_223788_223825_223853_223919_224048_224068_224085_224275_224438_224572_224798_224815_224867_8000087_8000124_8000135_8000146_8000149_8000151_8000164_8000170_8000178_8000185; BDSVRTM=54; PSINO=5; H_PS_PSSID=36549_36755_36641_37107_36954_34812_36917_36569_37077_37137_37055_26350; ab_sr=1.0.1_MTU4MzA0NmM2MWUxMTA0MTczZmJlMjhmZGFkYTM1ZTE1MWRmNTA0NzM4ZTliYjcwNDkzZThkYjNmZTViNjNmNjVkY2NjMGFhMzUyNzUwNGNlOTYyNTg1NDAwMzI2MjBhZTBjMTNhNGRlZTQ5ZjU5NDQwMmExYjhmOTYzYmVkNDdmYTcxOGVlMjQ3NDM4ZWUzYTM0MDdlZTY0M2MxYTE1Zg==; __bsi=10904855338309584892_00_31_R_N_238_0303_c02f_Y; BDSVRBFE=Go',
    'Referer': 'https://www.baidu.com/link?url=DuQVKq8Td4TeuN-jwjK7jsswx0C1IdqTEyroK-ujwDUgbqe8cxCSUISnkUn7YB-lcSSOtk_xpTMJD1pl1GH_WSj5TEyWoehR9gwTgNsmuUnTOygSygm4X1V6BmRDvXpUboPyHjWmSvqm29EfTYTWRdCVaS2LiKke2KTbl3MNz-ERJRAny3-eED6v5rA7XV03cPWjuGuwvxzGuW4KMF13CqG7_hRSlgvrZ4WgzBt0GY7&wd=&eqid=d36a6c8c00004d680000000462faee7e',
    'Sec-Fetch-Dest': 'document',
    'Sec-Fetch-Mode': 'navigate',
    'Sec-Fetch-Site': 'same-site',
    'Sec-Fetch-User': '?1',
    'Upgrade-Insecure-Requests': '1',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.5112.81 Safari/537.36 Edg/104.0.1293.54',
    'sec-ch-ua': '"Chromium";v="104", " Not A;Brand";v="99", "Microsoft Edge";v="104"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platform': '"Windows"',
}

params = {
    'pd': 'life_compare_weather',
    'openapi': '1',
    'dspName': 'iphone',
    'from_sf': '1',
    'resource_id': '4495',
    'word': '全国天气',
    'title': '省市天气查询',
    'srcid': '4983',
    'fromSite': 'pc',
}
#获取网页
response = requests.get('https://m.baidu.com/sf', params=params, cookies=cookies, headers=headers)
#数据存储
fo = open("./天气.txt",'a',encoding="utf-8")

#解析网页
response.encoding='utf-8'
soup = BeautifulSoup(response.text, 'html.parser')
print(soup)
#爬取内容
content="div.c-span3"
#清洗数据
a=soup.select(content)
for i in range(0,len(a)):
    a[i] = a[i].text
    fo.write(a[i]+'\n')
fo.close()

爬出结果：

编写过程中注意点和有待提升：

1.没有捞出天气信息，只捞出了气温

2.header and cookie的信息不是每次都捞出想要的，需要自己尝试

3.将捞出的数据做出图表，TXT不是很直观

仅供学习，不可用于商业行为

B站爬取视屏代码
sys.argv = ['you-get', '--format=dash-flv', 'https://www.bilibili.com/bangumi/play/ss12548?from_spmid=666.23.0.0 ']
you_get.main()

标签： python 爬虫开发语言

本文转载自: https://blog.csdn.net/Katherine1029/article/details/126361518
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python 爬虫爬取天气

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