# the keyword to extract data
kw = "python"
pt.build_payload([kw], timeframe="all")
# get the interest by country
ibr = pt.interest_by_region("COUNTRY", inc_low_vol=True, inc_geo_code=True)

# sort the countries by interest
ibr[kw].sort_values(ascending=False)

# get related topics of the keyword
rt = pt.related_topics()
rt[kw]["top"]

# get related queries to previous keyword
rq = pt.related_queries()
rq[kw]["top"]

# get suggested searches
pt.suggestions("python")

# another example of suggested searches
pt.suggestions("America")

# trending searches per region
ts = pt.trending_searches(pn="united_kingdom")
ts

# real-time trending searches
pt.realtime_trending_searches()
 def test_realtime_trending_searches(self):
     pytrend = TrendReq()
     pytrend.build_payload(kw_list=['pizza', 'bagel'])
     self.assertIsNotNone(pytrend.realtime_trending_searches(pn='IN'))
Exemple #3
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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())

# 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)

# Get Google Realtime Search Trends
realtime_searches = pytrend.realtime_trending_searches()
print(realtime_searches.head())
Exemple #4
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print(interest_over_time_df.head())

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

# 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)

# Get Google Realtime Search Trends

realtime_searches = pytrend.realtime_trending_searches(pn='IN')
print(realtime_searches.head())