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crawler.py
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# !/usr/bin/nev python
# -*-coding:utf8-*-
import requests
import urllib3
import csv
import re
import time
import datetime
from parsel import Selector
from requests_html import HTMLSession
urllib3.disable_warnings()
session = HTMLSession()
file_path_list = [
'',
'./data/1.尼格',
'./data/2.纳沙',
'./data/3.奥鹿',
'./data/4.梅花',
'./data/5.马鞍',
'./data/6.木兰',
'./data/7.桑达',
'./data/8.暹芭',
'./data/9.烟花'
]
n_list = [
0,
16,
27,
17,
17,
14,
11,
10,
13,
12
]
url_list_all = [
'',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E5%25B0%25BC%25E6%25A0%25BC%2523?topnav=1&wvr=6&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E7%25BA%25B3%25E6%25B2%2599%2523?topnav=1&wvr=6&b=1&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E5%25A5%25A5%25E9%25B9%25BF%2523?topnav=1&wvr=6&b=1&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E6%25A2%2585%25E8%258A%25B1%2523?topnav=1&wvr=6&b=1&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E9%25A9%25AC%25E9%259E%258D%2523?topnav=1&wvr=6&b=1&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E6%259C%25A8%25E5%2585%25B0%2523?topnav=1&wvr=6&b=1&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E6%25A1%2591%25E8%25BE%25BE%2523?topnav=1&wvr=6&b=1&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E6%259A%25B9%25E8%258A%25AD%2523?topnav=1&wvr=6&b=1&page=',
f'https://s.weibo.com/weibo/%2523%25E5%258F%25B0%25E9%25A3%258E%25E7%2583%259F%25E8%258A%25B1%2523?topnav=1&wvr=6&b=1&page='
]
headers_list = {
'cookie': 'your_weibo.com_cookie',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'
}
headers = {
'cookie': 'your_m.weibo.cn_cookie',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'
}
def parse_comment(dict):
try:
text_origin = dict['text']
alts = ''.join(re.findall(r'alt=(.*?) ', text_origin))
text = re.sub("<span.*?</span>", alts, text_origin)
GMT_format = '%a %b %d %H:%M:%S +0800 %Y'
created_at = dict['created_at']
timeArray = datetime.datetime.strptime(created_at, GMT_format)
std_create_times = timeArray.strftime('%Y-%m-%d %H:%M:%S')
source = dict['source']
screen_names = dict['user']['screen_name']
csv_writer.writerow([screen_names, source, std_create_times, text])
if (dict['comments'] != False):
cid = dict['id']
url_child_comment = f'https://m.weibo.cn/comments/hotFlowChild?cid={cid}&max_id=0&max_id_type=0'
responses_child_comment = session.get(url_child_comment, proxies={'http': prox, 'https': prox}, headers=headers, verify=False).json()
max_id = responses_child_comment['max_id']
max_id_type = responses_child_comment['max_id_type']
data = {
'cid': cid,
'max_id': max_id,
'max_id_type': max_id_type
}
parse_child_comment(responses_child_comment)
get_child_comment(data)
except Exception as e:
return
def get_comment(data):
if data['max_id'] == 0:
return
time.sleep(3)
url_comment = 'https://m.weibo.cn/comments/hotflow?'
responses_comment = session.get(url_comment, proxies={'http': prox, 'https': prox}, headers=headers, params=data, verify=False).json()
if('data' in responses_comment):
max_id = responses_comment['data']['max_id']
max_id_type = responses_comment['data']['max_id_type']
data = {
'id': mid,
'mid': mid,
'max_id': max_id,
'max_id_type': max_id_type
}
comment_list = responses_comment['data']['data']
for comment_json_dict in comment_list:
parse_comment(comment_json_dict)
get_comment(data)
def parse_child_comment(responses_child_comment):
data_list = responses_child_comment['data']
for data_json_dict in data_list:
try:
texts_1 = data_json_dict['text']
"""需要sub替换掉标签内容"""
# 需要替换的内容，替换之后的内容，替换对象
alts = ''.join(re.findall(r'alt=(.*?) ', texts_1))
texts = re.sub("<span.*?</span>", alts, texts_1)
# 评论时间 格林威治时间---需要转化为北京时间
GMT_format = '%a %b %d %H:%M:%S +0800 %Y'
created_at = data_json_dict['created_at']
timeArray = datetime.datetime.strptime(created_at, GMT_format)
std_create_times = timeArray.strftime('%Y-%m-%d %H:%M:%S')
# IP地址
source = data_json_dict['source']
# 用户名
screen_names = data_json_dict['user']['screen_name']
# print(screen_names, genders, std_create_times, texts, like_counts)
csv_writer.writerow([screen_names, source, std_create_times, texts])
except Exception as e:
return
def get_child_comment(data):
if (data['max_id'] == 0):
return
time.sleep(3)
cid = data['cid']
url_child_comment = 'https://m.weibo.cn/comments/hotFlowChild?'
prox = ''
responses_child_comment = session.get(url_child_comment, proxies={'http': prox, 'https': prox}, headers=headers, params=data, verify=False).json()
max_id = responses_child_comment['max_id']
max_id_type = responses_child_comment['max_id_type']
data = {
'cid': cid,
'max_id': max_id,
'max_id_type': max_id_type
}
parse_child_comment(responses_child_comment)
get_child_comment(data)
for i in range(1,10):
time.sleep(10)
url_head = url_list_all[i]
print(f'第{i}个台风')
for page in range(1, n_list[i]+1):
time.sleep(3)
url_list = f'{url_head}{page}'
responses_list = requests.get(url_list, headers=headers_list)
html_data = responses_list.text
print(f'第{page}页')
selector = Selector(text=html_data)
divs = selector.css('.m-con-l .card-wrap')
for div in divs[1:]:
time.sleep(3)
mid = div.attrib['mid']
print(mid)
f_content = open(f'{file_path_list[i]}/{mid}.txt', 'w', encoding='utf-8')
url_content = f'https://m.weibo.cn/statuses/extend?id={mid}'
responses_content = requests.get(url_content, headers=headers)
content = responses_content.json()['data']['longTextContent']
f_content.write(content)
f_comment = open(f'{file_path_list[i]}/{mid}.csv', mode='a', encoding='utf-8', newline='')
csv_writer = csv.writer(f_comment)
csv_writer.writerow(['昵称', '地区', '时间', '评论'])
url_comment = f'https://m.weibo.cn/comments/hotflow?id={mid}&mid={mid}&max_id_type=0'
prox = ''
responses_comment = session.get(url_comment, proxies={'http': prox, 'https': prox}, headers=headers,
verify=False).json()
if ('data' in responses_comment):
max_id = responses_comment['data']['max_id']
max_id_type = responses_comment['data']['max_id_type']
data = {
'id': mid,
'mid': mid,
'max_id': max_id,
'max_id_type': max_id_type
}
comment_list = responses_comment['data']['data']
for comment_json_dict in comment_list:
parse_comment(comment_json_dict)
get_comment(data)