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 Started
In 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
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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