# Google Trend in Python

# Prg1 取得數據

# Google Trend in Python
#!pip install pytrends

from pytrends.request import TrendReq
from pprint import pprint

pytrend = TrendReq(hl='en-US', tz=360)

# 設定要查詢的關鍵字
keywords_list = ['數位','行銷']

# 取得1個月的數據
pytrend.build_payload(kw_list=keywords_list,cat=0, timeframe='today 1-m', geo='TW', gprop='')
pprint(pytrend.interest_over_time())

# 取得5年的數據
pytrend.build_payload(kw_list=keywords_list,cat=0, timeframe='today 5-y', geo='TW', gprop='')
pprint(pytrend.interest_over_time())

# ----------------------------------------------------
# Prg2

from pytrends.request import TrendReq

# Only need to run this once, the rest of requests will use the same session.
pytrend = TrendReq()

# Create payload and capture API tokens. Only needed for interest_over_time(), interest_by_region() & related_queries()
pytrend.build_payload(kw_list=['  ', '  '], geo='')

# Interest Over Time
interest_over_time_df = pytrend.interest_over_time()
print(interest_over_time_df.head())

# Interest by Region
interest_by_region_df = pytrend.interest_by_region()
#print(interest_by_region_df.head())
print(interest_by_region_df)

# Related Queries, returns a dictionary of dataframes
related_queries_dict = pytrend.related_queries()
#print(related_queries_dict)

# Get Google Hot Trends data
trending_searches_df = pytrend.trending_searches()
#print(trending_searches_df.head())

# Get Google Hot Trends data
today_searches_df = pytrend.today_searches()
#print(today_searches_df.head())

# Get Google Top Charts
top_charts_df = pytrend.top_charts(2018, hl='en-US', tz=300, geo='GLOBAL')
#print(top_charts_df.head())

# Get Google Keyword Suggestions
suggestions_dict = pytrend.suggestions(keyword='pizza')
print(suggestions_dict)

# ---------------------------------------------

# Google Trnd資料抓取
#!pip install pytrends

from pytrends.request import TrendReq

pList = []
for keywords in data['blockchain','marketing]：
  print(keywords)
  keywords_list = [keywords]
  sleep_sec = randint(3,5)
  timesleep(sleep_sec)

  pytrend.build_payload(keywords_list, cat=0, timeframe='today 5-y', geo ='TW', gprop='')
  interest_over_time_df = pytrend.interest_over_time()
  pList.append(keywrods)

  for data in range(total_data_time):
    if len(interest_over_time_df.iloc[ : ]) == 0:
      pList.append(0)
    else:
      pList.append(interest_over_time_df.iloc[data,0])
print('Done')