Google Trends API for Python | Play With Data | PyTrends
In this tutorial, I will demonstrate how to use the Google Trends API for getting the current trending topics on the internet.
Google trends is a website that analyzes and lists the popular search results on Google search based on various regions and languages. Google Trends is Google’s website (obviously). With the help of this tutorial, you can get the trending results (and many more) from Google trends website using Python. You don’t need to manually search and copy the trending results, the Python API called pytrends does the job for you. Before getting started, I want all of you guys to go through the official documentation of the pytrends API
Python Package: https://pypi.org/project/pytrends/
Install Python: pip install pytrends
IDE: Jupyter notebook
Google Trends: https://trends.google.com/
⌚Timestamps⌚
0:00 Introduction of Google Trends API - PyTrends
1:17 Choosing IDE for Data Engineers
1:39 Installing Google Trends API (PyTrends) in Python PIP
1:57 Importing package for Google Trends API (PyTrends) and Pandas
2:36 PyTrends connecting with Google Using TrendReq Class
3:23 Generate Search Payload for TrendReq Class
3:50 Interest by Region by Python using pandas
5:15 Generate Bar Chart in pandas with Google Trends Data.
6:58 Daily Search Trends with Google Data.
7:12 Trending Search with Google Trends API (PyTrends) in Python.
8:21 Top Charts with Google Trends API (PyTrends) in Python.
10:22 Keyword Suggestion with Google Trends API (PyTrends) in Python.
12:02 Related Queries with Google Trends API (PyTrends) in Python.
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