Google 趋势 "An error has been detected"
Google Trends "An error has been detected"
我有以下代码,我使用了来自 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_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 文件中看到了这些:
<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>
出了什么问题,如何解决?
我从 Google Trend 获取数据,这里是 an example.
我认为问题出在日期查询上,date = "01/2014 65m"
,你问的是 2014 年 1 月之后的 65 个月......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")
我有以下代码,我使用了来自 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_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 文件中看到了这些:
<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>
出了什么问题,如何解决? 我从 Google Trend 获取数据,这里是 an example.
我认为问题出在日期查询上,date = "01/2014 65m"
,你问的是 2014 年 1 月之后的 65 个月......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")