"""
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同花顺网站爬虫
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"""
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import json
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import os
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import time
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from urllib import parse
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import pymongo
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import requests
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from selenium import webdriver
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from selenium.webdriver import ActionChains
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from selenium.webdriver.common.by import By
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def save(dn_name, datas):
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client = pymongo.MongoClient(host='127.0.0.1', port=27017)
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db = client.gp
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collections = db[dn_name]
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for data in datas:
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collections.delete_one({"_id": data["_id"]})
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collections.insert_one(data)
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def remove_all(dn_name):
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client = pymongo.MongoClient(host='127.0.0.1', port=27017)
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db = client.gp
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collections = db[dn_name]
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collections.delete_many(filter="")
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def industry():
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cookie = "ta_random_userid=uppxpgjh71; WafStatus=0; cid=c9859f3a7fef885083cabd7fec6aef471654074712; ComputerID=c9859f3a7fef885083cabd7fec6aef471654074712; PHPSESSID=0d9309b0017225861bbe1446c738cc28; user=MDptb181NTkzODg0ODA6Ok5vbmU6NTAwOjU2OTM4ODQ4MDo1LDEsNDA7NiwxLDQwOzcsMTExMTExMTExMTEwLDQwOzgsMTExMTAxMTEwMDAwMTExMTEwMDEwMDEwMDEwMDAwMDAsNDA7MzMsMDAwMTAwMDAwMDAwLDI3OTszNiwxMDAxMTExMTAwMDAxMTAwMTAxMTExMTEsMjc5OzQ2LDAwMDAxMTExMTAwMDAwMTExMTExMTExMSwyNzk7NTEsMTEwMDAwMDAwMDAwMDAwMCwyNzk7NTgsMDAwMDAwMDAwMDAwMDAwMDEsMjc5Ozc4LDEsMjc5Ozg3LDAwMDAwMDAwMDAwMDAwMDAwMDAxMDAwMCwyNzk7NDQsMTEsNDA7MSwxMDEsNDA7MiwxLDQwOzMsMSw0MDsxMDIsMSw0MDoyNzo6OjU1OTM4ODQ4MDoxNjU3MTgzODQ3Ojo6MTYwOTE2NDE4MDo0MDAxNTM6MDoxOGM1M2ViM2MzMTUyYzFlZmMxMTY3MjcyZTExOTczY2U6ZGVmYXVsdF80OjE=; userid=559388480; u_name=mo_559388480; escapename=mo_559388480; ticket=08b7e8531104dda481d989ace9041a41; user_status=0; utk=c1489e81726ce1d382920df78aa3726e; v=A9d8Z87veejuOP1khsuI644BZkAkHKBzheEvrykE8_QOZfm-Mew7zpXAv1E6"
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refer = "http://www.iwencai.com/stockpick/search?typed=0&preParams=&ts=1&f=1&qs=result_original&selfsectsn=&querytype=stock&searchfilter=&tid=stockpick&w=%E8%A1%8C%E4%B8%9A"
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userAgent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36"
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headers = {
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"User-Agent": userAgent,
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"Referer": refer,
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"Cookie": cookie
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}
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url = "http://www.iwencai.com/stockpick/cache?token=aa18c9c043a235f62ca1d6e54ce8ebf9&p={}&perpage=30&showType=[%22%22,%22%22,%22onTable%22,%22onTable%22,%22onTable%22,%22onTable%22]"
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for i in range(1, 4):
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link = url.format(i)
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resp = requests.get(link, headers=headers)
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f = open("C:\\Users\\Administrator\\Desktop\\ocr\\行业\\{}.txt".format(i), 'x')
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f.write(resp.text)
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print(link)
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# 问财页面：http://www.iwencai.com/unifiedwap/result?w=%E7%94%B5%E5%8A%9B&querytype=stock
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def industry_code(name):
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path = "C:\\Users\\Administrator\\Desktop\\ocr\\行业\\{}.txt".format(name)
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if os.path.exists(path):
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return None
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time.sleep(10)
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print(name)
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cookie = "ta_random_userid=uppxpgjh71; WafStatus=0; cid=c9859f3a7fef885083cabd7fec6aef471654074712; ComputerID=c9859f3a7fef885083cabd7fec6aef471654074712; PHPSESSID=0d9309b0017225861bbe1446c738cc28; user=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%3D; userid=559388480; u_name=mo_559388480; escapename=mo_559388480; ticket=08b7e8531104dda481d989ace9041a41; user_status=0; utk=c1489e81726ce1d382920df78aa3726e; v=A07liJ-coH6fyxRaeGmBfE_Cny8VzxF7JJbGpXiFu10MxeAR4F9i2fQjFpxL"
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refer = "http://www.iwencai.com/unifiedwap/result?w={}&querytype=stock".format(parse.quote(name))
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userAgent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36"
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headers = {
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"User-Agent": userAgent,
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"Referer": refer,
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"Cookie": cookie,
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"Content-Type": 'application/json;charset=UTF-8',
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"hexin-v": "A07liJ-coH6fyxRaeGmBfE_Cny8VzxF7JJbGpXiFu10MxeAR4F9i2fQjFpxL",
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"Origin": "http://www.iwencai.com"
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}
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link = "http://www.iwencai.com/customized/chart/get-robot-data"
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data = {
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"question": name,
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"perpage": "400",
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"page": 1,
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"secondary_intent": "stock",
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"log_info": "{\"input_type\":\"click\"}",
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"source": "Ths_iwencai_Xuangu",
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"version": "2.0",
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"query_area": "",
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"block_list": "",
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"add_info": "{\"urp\":{\"scene\":1,\"company\":1,\"business\":1},\"contentType\":\"json\",\"searchInfo\":true}"
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}
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resp = requests.post(link, json=data, headers=headers)
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f = open(path, 'w')
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f.write(resp.text)
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print(resp.text)
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def parse_industry():
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count = 0
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totals = []
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for i in range(1, 4):
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f = open("C:\\Users\\Administrator\\Desktop\\ocr\\行业\\{}.txt".format(i), 'r')
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data = f.readline()
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dict = json.loads(data)
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results = dict["result"]
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for r in results:
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count += 1
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if count <= 76:
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totals.append(r[1])
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sorted_by_second = sorted(totals, key=lambda tup: tup[1])
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return totals
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def parse_code(name):
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f = open("C:\\Users\\Administrator\\Desktop\\ocr\\行业\\{}.txt".format(name), 'r')
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data = f.readline()
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dict = json.loads(data)
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if dict["status_code"] != 0:
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return None
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results = dict["data"]["answer"][0]["txt"][0]["content"]["components"][0]["data"]["datas"]
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data_list = []
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for i in results:
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d = {'_id': i["code"], 'first_industry': i["所属同花顺行业"].split('-')[0],
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'second_industry': i["所属同花顺行业"].split('-')[1], 'three_industry': i["所属同花顺行业"].split('-')[2]}
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data_list.append(d)
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# print(d)
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return data_list
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def check_charset(file_path):
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import chardet
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with open(file_path, "rb") as f:
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data = f.read(4)
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charset = chardet.detect(data)['encoding']
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return charset
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def parse_extra():
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path = "C:\\Users\\Administrator\\Desktop\\ocr\\行业\\extra.txt"
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charset = check_charset(path)
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print(charset)
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f = open(path, 'r', encoding=charset)
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datas = f.readlines()
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data_list = []
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for data in datas:
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dict = json.loads(data)
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data = (dict["result"])
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for i in data:
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d = {'_id': i[0].split(".")[0], 'first_industry': i[4].split('-')[0],
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'second_industry': i[4].split('-')[1], 'three_industry': i[4].split('-')[2]}
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data_list.append(d)
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print(d)
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return data_list
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# industrys = parse_industry()
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# for i in industrys:
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# list = parse_code(i)
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# save("ths-industry-codes", list)
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# print(i, len(list))
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# print(i)
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# try:
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# save("ths-industry-codes", parse_code(i))
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# except Exception as e:
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# print("出错：", i)
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# industry_code("计算机应用")
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# list = parse_code("计算机应用")
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# print(len(list))
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from selenium.webdriver.chrome.options import Options
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def get_industry_sel(industry_names):
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# 先启动浏览器
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options = Options()
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options.add_argument("--disable-blink-features")
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options.add_argument("--disable-blink-features=AutomationControlled")
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driver = webdriver.Chrome(options=options)
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driver.get(
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"https://www.iwencai.com/unifiedwap/result?w=%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%AE%BE%E5%A4%87&querytype=stock")
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cookie_str = "ta_random_userid=uppxpgjh71; WafStatus=0; cid=c9859f3a7fef885083cabd7fec6aef471654074712; ComputerID=c9859f3a7fef885083cabd7fec6aef471654074712; other_uid=Ths_iwencai_Xuangu_64rlhgns9vf70ckd4tc516sfxz9ahr2w; PHPSESSID=54ad5acbc90bd750be5b087c8925c2f3; user_status=0; user=MDpteF81MzE1MDA1Njc6Ok5vbmU6NTAwOjU0MTUwMDU2Nzo3LDExMTExMTExMTExLDQwOzQ0LDExLDQwOzYsMSw0MDs1LDEsNDA7MSwxMDEsNDA7MiwxLDQwOzMsMSw0MDs1LDEsNDA7OCwwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMSw0MDsxMDIsMSw0MDoxNjo6OjUzMTUwMDU2NzoxNjU4MTIzNjAyOjo6MTU5NDE4NTEyMDoyMjcxOTg6MDoxMGUwNWQxNGNiZGYxZDc0MDA4YWRlMzQ0YTcwY2JjZDY6ZGVmYXVsdF80OjA%3D; userid=531500567; u_name=mx_531500567; escapename=mx_531500567; ticket=46c040138071be5298d0c50870b15b5c; utk=fb8a94845bcad86cb5880b4436d1e8f5; v=AwWu7XDRy1CB3u8Mgnda0cjHFEo6wrlUA3adqAdqwTxLnis0zxLJJJPGrXyU"
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cookies = cookie_str.split(";")
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for c in cookies:
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driver.add_cookie(cookie_dict={"name": (c.split("=")[0].strip()), "value": str(c.split("=")[1].strip())})
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time.sleep(2)
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# 浮层小时
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try:
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ActionChains(driver).click(on_element=driver.find_element(by=By.CLASS_NAME, value="prompt-shade")).perform()
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except:
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print("")
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industry_list = []
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for industry_name in industry_names:
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driver.get(
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"https://www.iwencai.com/unifiedwap/result?w={}&querytype=stock".format(parse.quote(industry_name)))
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time.sleep(2)
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# 查找分页
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pages = driver.find_element(by=By.CLASS_NAME, value="iwc-table-wrapper-outer").find_element(by=By.CLASS_NAME,
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value="pager").find_elements(
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by=By.CLASS_NAME,
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value="page-item")
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time.sleep(1)
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data_list = []
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for page in pages:
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try:
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page.find_element(
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by=By.TAG_NAME, value="a").click()
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time.sleep(2)
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except:
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print("")
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scroll_headers = driver.find_elements(by=By.CLASS_NAME, value="iwc-table-content")[0].find_element(
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by=By.CLASS_NAME,
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value="iwc-table-scroll").find_element(
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by=By.TAG_NAME, value="ul").find_elements(by=By.TAG_NAME, value="li")
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index = 0
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for el in scroll_headers:
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if el.text == '所属同花顺行业':
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break
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else:
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index = index + 1
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scroll_content = driver.find_element(by=By.CLASS_NAME, value="iwc-table-content").find_element(
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by=By.CLASS_NAME,
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value="iwc-table-scroll").find_element(
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by=By.TAG_NAME, value="table").find_elements(by=By.TAG_NAME, value="tr")
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for el in scroll_content:
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code = el.find_elements(
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by=By.TAG_NAME, value="td")[2].text
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industry = el.find_elements(
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by=By.TAG_NAME, value="td")[4 + index].text
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industry_list.append({"code": code, "industry": industry})
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d = {'_id': code, 'first_industry': industry.split('-')[0],
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'second_industry': industry.split('-')[1], 'three_industry': industry.split('-')[2]}
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data_list.append(d)
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print(code, industry)
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save("ths-industry-codes", data_list)
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if __name__ == '__main__':
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# cmdline.execute('scrapy crawl baidu'.split())
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# industrys = parse_industry()
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# get_industry_sel(industrys)
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_list = []
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with open('C:\\Users\\Administrator\\Desktop\\行业代码.txt', encoding='utf-8') as file:
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content = file.readlines()
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for line in content:
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str = line.strip()
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name = str.split("：")[0].strip()
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code = str.split("：")[1].strip()
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_list.append({"_id": name, "first_code": code})
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#mongo_data.save("ths-industry", _list)
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