Python “谷歌趋势”;“检测到错误”;
我有以下代码,我使用了dominolab的代码示例:Python “谷歌趋势”;“检测到错误”;,python,csv,ipython,jupyter,google-trends,Python,Csv,Ipython,Jupyter,Google Trends,我有以下代码,我使用了dominolab的代码示例: from pytrends.pyGTrends import pyGTrends import time from random import randint from IPython.display import display from pprint import pprint import urllib import sys import os google_username = "myusername" google_passwor
from pytrends.pyGTrends import pyGTrends
import time
from random import randint
from IPython.display import display
from pprint import pprint
import urllib
import sys
import os
google_username = "myusername"
google_password = "mypassword"
path = "csv_files"
if not os.path.exists(path):
os.makedirs(path)
base_keyword = "/m/0k44x" #Image Processing
terms = [
"Image Processing",
"Signal Processing",
"Computer Vision",
"Machine Learning",
"Information Retrieval",
"Data Mining"
]
advanced_terms = [
"/m/07844",
"/m/0yk6",
"/m/05kx1v",
"/m/04zv0zl",
"/m/017chx",
"/m/0cqyr9",
"/m/0121sb",
"/m/07844",
"/m/06dq9"
]
# connect to Google Trends API
connector = pyGTrends(google_username, google_password)
for label, keyword in zip(terms, advanced_terms):
print(label)
sys.stdout.flush()
keyword_string = '"{0}, {1}"'.format(keyword, base_keyword)
connector.request_report(keyword_string, geo="US", date="01/2014 65m")
# wait a random amount of time between requests to avoid bot detection
time.sleep(randint(5, 10))
# download file
connector.save_csv(path, label)
for term in terms:
data = connector.get_suggestions(term)
pprint(data)
但是,我在保存的CSV文件中看到以下内容:
<div id="report">
<div class="errorTitle">An error has been detected</div>
<div class="errorSubTitle">This page is currently unavailable. Please try again later.<br/> Please make sure your query is valid and try again.<br/> If you're experiencing long delays, consider reducing your comparison items.<br/> Thanks for your patience.</div>
</div>
检测到一个错误
此页面当前不可用。请稍后再试。
请确认您的查询有效,然后再试一次。< BR/>如果您经历了长时间的延迟,请考虑减少比较项目。< BR>谢谢您的耐心。
出了什么问题,如何解决?
我从谷歌趋势(Google Trend)获得数据,这里是。我认为问题在于日期查询,
date=“01/2014 65m”
,您在2014年1月后的65个月内一直在问这个问题。。。但那是在未来
因此,这是日期的正确格式:
connector.request_report(keyword_string, geo="US", date="01/2014 5m")
我认为问题在于日期查询,
date=“01/2014 65m”
,您在2014年1月之后的65个月内要求它。。。但那是在未来
因此,这是日期的正确格式:
connector.request_report(keyword_string, geo="US", date="01/2014 5m")