python3爬取东方财富股东户数2013-2019年数据

!/usr/bin/env python
-- coding:utf-8 --

import re
import csv
import time
import random
import requests
import json

from bokeh.models import pd
from requests import session

class spider_DongFangCaiFu(object):
def init(self):
#初始化需要记录断点数据
self.sync_log_dict = {
#分类url
"category_num": 0,
#页数url
"page_num": 1,
#总页数
"total_page":100,
}
# 日期
self.start_date_list=[
"2019-12-31",
"2018-12-31",
"2017-12-31",
"2016-12-31",
"2015-12-31",
"2014-12-31",
"2013-12-31",
]

# 详情解析
def parse_detail(self):
    for one_date_index in range(self.sync_log_dict["category_num"], 2):
        # 设置时间间隔
        time.sleep(random.random())
        start_date = self.start_date_list[one_date_index]
        for two_page_index in range(self.sync_log_dict["page_num"], 60):
            time.sleep(random.uniform(1, 3))
            url = "http://data.eastmoney.com/DataCenter_V3/gdhs/GetList.ashx?"
            params = {
                "reportdate": start_date,
                "market": "",
                "changerate": "",
                "range": "",
                "pagesize": "50",
                "page": str(two_page_index),
                "sortRule": "-1",
                "sortType": "NoticeDate",
                "js": "var%20DzSDuvmw",
                "param": "",
                "rt": "51196634",
            }
            headers = {
                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.108 Safari/537.36",
            }

            response = requests.get(url, headers=headers, params=params, verify=False, timeout=5)
            res_dict = response.text
            # print(res_dict)
            # data_list= re.search('"data":(\[.*\])', res_dict).group(1)
            data_list= re.search('"data":(\[.*\])', res_dict).group(1)
            # print(data_list)
            if len(data_list)<=2:
                break
            # data_str = re.findall('\[(.*?)\]', data_list)[0]
            ## python3 字符串转换dict,并换行写入txt  encoding = "utf-8"
            for i in eval(data_list):
                with open('dfcf.txt', 'a+',encoding = "utf-8" ) as file:
                    """
                    import json
                    print json.dumps('中国')
                    "\u4e2d\u56fd"
                    print json.dumps('中国',ensure_ascii=False)
                    "中国"
                    """
                    line = json.dumps(i,ensure_ascii=False)
                    file.write(line + '\n',)

if name == 'main':
run=spider_DongFangCaiFu()
run.parse_detail()