Headmaster Wang was hammered instead of flirting with his sister? No matter how rich you are, you just lick the dog [Python reptile actual combat: microblog comments]

Five packs of spicy strips! 2021-09-15 12:46:05
headmaster wang hammered flirting sister


Hello everyone , I'm spicy ~

As the title suggests , We must have been bombed by headmaster Wang's melon these two days , There have been several rounds of hot searches on Weibo , I also eat with relish , It's rare to see President Wang eat flat in front of girls . In addition, I chatted with a friend about the problems encountered in microblog comment collection , I wrote this article with emotion , Without much to say, let's go straight to the topic .

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Climb to the target

website :[ Microblogging ](https://m.weibo.cn/detai Insert picture description here

Effect display

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Tool use

development environment :win10、python3.7
development tool :pycharm、Chrome
tool kit :requests、re,csv

Analysis of project ideas

Find articles that need to eat melons
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The request header needs to carry the basic configuration data

headers = {

"referer": "",
"cookie":"",
"user-agent": ""
}

Find the comment data dynamically submitted by the article
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Find the corresponding comment data information through the packet capture tool
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Microblogging url There will be an article id,mid It's also an article id, max_id Is each json In the data max_id, There is no rule .
https://m.weibo.cn/comments/hotflow?id=4638585665621278&mid=4638585665621278&max_id=1190535179743975&max_id_type=0
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Take out the current max_id, You will get the request interface of the next page

Simple source code analysis

import csv
import re
import requests
import time
start_url = "https://m.weibo.cn/comments/hotflow?id=4638585665621278&mid=4638585661278&max_id_type=0"
next_url = "https://m.weibo.cn/comments/hotflow?id=4638585665621278&mid=4638585661278&max_id={}&max_id_type=0"
continue_url = start_url
headers = {

"referer": "",
"cookie": "",
"user-agent": ""
}
count = 0
def csv_data(fileheader):
with open("wb1234.csv", "a", newline="")as f:
write = csv.writer(f)
write.writerow(fileheader)
def get_data(start_url):
print(start_url)
response = requests.get(start_url, headers=headers).json()
print(response)
max_id = response['data']['max_id']
print(max_id)
content_list = response.get("data").get('data')
for item in content_list:
global count
count += 1
create_time = item['created_at']
text = "".join(re.findall('[\u4e00-\u9fa5]', item["text"]))
user_id = item.get("user")["id"]
user_name = item.get("user")["screen_name"]
# print([count, create_time, user_id, user_name, text])
csv_data([count, create_time, user_id, user_name, text])
global next_url
continue_url = next_url.format(max_id)
print(continue_url)
time.sleep(2)
get_data(continue_url)
if __name__ == "__main__":
fileheader = ["id", " Comment on time ", " user id", "user_name", " Comment content "]
csv_data(fileheader)
get_data(start_url)

PS: Not on either side , And I don't evaluate it , I hope we can learn technology while eating melons , If it's helpful to you, remember to give spicy three links , Finally, I wish everyone a smooth relationship , If you don't take off the order, take off the order as soon as possible , Those who take off the order will become family members as soon as possible .

版权声明
本文为[Five packs of spicy strips!]所创,转载请带上原文链接,感谢
https://pythonmana.com/2021/09/20210909161448839p.html

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