python爬虫之爬取谷歌趋势数据
一、前言
爬取谷歌趋势数据需要科学上网~
二、思路谷歌数据的爬取很简单，就是代码有点长。主要分下面几个就行了
爬取的三个界面返回的都是json数据。主要获取对应的token值和req，然后构造url请求数据就行
token值和req值都在这个链接的返回数据里。解析后得到token和req就行
socks5代理不太懂，抄网上的作业，假如了当前程序的全局代理后就可以跑了。全部代码如下
import socket
import socks
import requests
import json
import pandas as pd
import logging
#加入socks5代理后，可以获得当前程序的全局代理
socks.set_default_proxy(socks.SOCKS5,"127.0.0.1",1080)
socket.socket = socks.socksocket
#加入以下代码，否则会出现InsecureRequestWarning警告，虽然不影响使用，但看着糟心
# 捕捉警告
logging.captureWarnings(True)
# 或者加入以下代码，忽略requests证书警告
# from requests.packages.urllib3.exceptions import InsecureRequestWarning
# requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
# 将三个页面获得的数据存为DataFrame
time_trends = pd.DataFrame()
related_topic = pd.DataFrame()
related_search = pd.DataFrame()
#填入自己打开网页的请求头
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36',
'x-client-data': 'CJa2yQEIorbJAQjEtskBCKmdygEI+MfKAQjM3soBCLKaywEI45zLAQioncsBGOGaywE=Decoded:message ClientVariations {// Active client experiment variation IDs.repeated int32 variation_id = [3300118, 3300130, 3300164, 3313321, 3318776, 3321676, 3329330, 3329635, 3329704];// Active client experiment variation IDs that trigger server-side behavior.repeated int32 trigger_variation_id = [3329377];}',
'referer': 'https://trends.google.com/trends/explore',
'cookie': '__utmc=10102256; __utmz=10102256.1617948191.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); __utma=10102256.889828344.1617948191.1617948191.1617956555.3; __utmt=1; __utmb=10102256.5.9.1617956603932; SID=8AfEx31goq255ga6Ldt9ljEVZ5xQ7fYTAdzCK3DgEYp2s6MOxeKc__hQ90tTtn0W-6AVoQ.; __Secure-3PSID=8AfEx31goq255ga6Ldt9ljEVZ5xQ7fYTAdzCK3DgEYp2s6MOLU4HYHzyoAXIvtAhfF_WNg.; HSID=AELT1m_DoHJY-r6SW; SSID=AJSlRt0T7ngXXMtqv; APISID=3Nt6oALGV8kSym2M/A2QeNBMtb9P7VcIwV; SAPISID=iAA0fu76JZezPfK4/Apws7zK1y-o74b2YD; __Secure-3PAPISID=iAA0fu76JZezPfK4/Apws7zK1y-o74b2YD; 1P_JAR=2021-04-06-06; SEARCH_SAMESITE=CgQIo5IB; NID=213=oYQE35gIVD2DrxbpY7NdAQsAEyg-If7Jh_nBdSKTkvmtgaVV7tYeSQNq_636cysbsajJP3_dKfr95w51ywK-dxVYhzPP4Zll9JndBYY98vd_XegGoeLEevpxIhNxUAv6H24OVt_edoGFkSjTpWKn4QAoIoerHCViyvozrvGF7m4scupppmxN-h9dwm1nrs15I3b_E-ifLq0lgd9s7QrgA-FRuaDeyuXN8t1K7l_DMTB1jkE5ED_dC-_QAO7DDw; SIDCC=AJi4QfFdMiK_qV41ViVJf0wWmtOu8yUVSQc_UEvemoaQwTGI9W0w2XwwkMCufVcYIS5ogRSkq5w; __Secure-3PSIDCC=AJi4QfEmB-gnzZLHWR4p1EmOfS2dhSz9zWSGNGOozrY2udFk4KwVmVo_srZdZrmdy7h_mwLSwQ'
}
# 获取需要的三个界面的req值和token值
def get_token_req(keyword):
url = 'https://trends.google.com/trends/api/explore?hl=zh-CN&tz=-480&req={{"comparisonItem":[{{"keyword":"{}","geo":"US","time":"today 12-m"}}],"category":0,"property":""}}&tz=-480'.format(
keyword)
html = requests.get(url, headers=headers, verify=False).text
data = json.loads(html[5:])
req_1 = data['widgets'][0]['request']
token_1 = data['widgets'][0]['token']
req_2 = data['widgets'][2]['request']
token_2 = data['widgets'][2]['token']
req_3 = data['widgets'][3]['request']
token_3 = data['widgets'][3]['token']
result = {'req_1': req_1, 'token_1': token_1, 'req_2': req_2, 'token_2': token_2, 'req_3': req_3,
'token_3': token_3}
return result
# 请求三个界面的数据，返回的是json数据，所以数据不用解析，完美
def get_info(keyword):
content = []
keyword = keyword
result = get_token_req(keyword)
#第一个界面
req_1 = result['req_1']
token_1 = result['token_1']
url_1 = "https://trends.google.com/trends/api/widgetdata/multiline?hl=zh-CN&tz=-480&req={}&token={}&tz=-480".format(
req_1, token_1)
r_1 = requests.get(url_1, headers=headers, verify=False)
if r_1.status_code == 200:
try:
content_1 = r_1.content
content_1 = json.loads(content_1.decode('unicode_escape')[6:])['default']['timelineData']
result_1 = pd.json_normalize(content_1)
result_1['value'] = result_1['value'].map(lambda x: x[0])
result_1['keyword'] = keyword
except Exception as e:
print(e)
result_1 = None
else:
print(r_1.status_code)
#第二个界面
req_2 = result['req_2']
token_2 = result['token_2']
url_2 = 'https://trends.google.com/trends/api/widgetdata/relatedsearches?hl=zh-CN&tz=-480&req={}&token={}'.format(
req_2, token_2)
r_2 = requests.get(url_2, headers=headers, verify=False)
if r_2.status_code == 200:
try:
content_2 = r_2.content
content_2 = json.loads(content_2.decode('unicode_escape')[6:])['default']['rankedList'][1]['rankedKeyword']
result_2 = pd.json_normalize(content_2)
result_2['link'] = "https://trends.google.com" + result_2['link']
result_2['keyword'] = keyword
except Exception as e:
print(e)
result_2 = None
else:
print(r_2.status_code)
#第三个界面
req_3 = result['req_3']
token_3 = result['token_3']
url_3 = 'https://trends.google.com/trends/api/widgetdata/relatedsearches?hl=zh-CN&tz=-480&req={}&token={}'.format(
req_3, token_3)
r_3 = requests.get(url_3, headers=headers, verify=False)
if r_3.status_code == 200:
try:
content_3 = r_3.content
content_3 = json.loads(content_3.decode('unicode_escape')[6:])['default']['rankedList'][1]['rankedKeyword']
result_3 = pd.json_normalize(content_3)
result_3['link'] = "https://trends.google.com" + result_3['link']
result_3['keyword'] = keyword
except Exception as e:
print(e)
result_3 = None
else:
print(r_3.status_code)
content = [result_1, result_2, result_3]
return content
def main():
global time_trends,related_search,related_topic
with open(r'C:\Users\Desktop\words.txt','r',encoding = 'utf-8') as f:
words = f.readlines()
for keyword in words:
keyword = keyword.strip()
data_all = get_info(keyword)
time_trends = pd.concat([time_trends,data_all[0]],sort = False)
related_topic = pd.concat([related_topic,data_all[1]],sort = False)
related_search = pd.concat([related_search,data_all[2]],sort = False)
if __name__ == "__main__":
main()
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