Welcome folks today in this blog post we will be scraping google trends data in python using pytrends library . All the full source code of the application is shown below. Get StartedIn order to get started you need to install the below package using the pip command as shown below pip install pytrends After installing this library you need to make an app.py file and copy paste the following code search keywords app.py from pytrends.requests import Trendreq pytrends = TrendReq(hl='en-US', tz = 360) keyword_list = ['Machine Learning','Python','Linear Regression'] pytrends.build_payload(keyword_list, cat=0, timeframe='today 5-y', geo='', gprop='')Filter Searches based on region # Interest by Region df = pytrends.interest_by_region(resolution='COUNTRY') print(df.head(10)) df = df.reset_index() df.plot(x="geoName", y="Machine Learning", figsize=(120, 10), kind ="bar")Trending searches #trending searches df = pytrends.trending_searches() print(df.head())Related queries #related topics pytrends.build_payload(kw_list=["Machine Learning"]) df = pytrends.related_topics() print(df['Machine Learning']['top'])Related posts:
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