Keyword Suggestions
The suggestions() method, will help you to explore what the world is searching for. It returns a list of additional suggested keywords that can be used to filter a trending search on Google.
Python3
keywords = Trending_topics.suggestions( keyword='Cloud Computing') df = pd.DataFrame(keywords) df.drop(columns= 'mid') |
Output:
Google Search Analysis with Python
In this article, we will be going through the approach to the analysis of google search in the python programming language.
Google does not share the exact number of searches, but it’s estimated that 228 million searches per hour or 5.8 billion searches per day are performed. That’s really a huge number! Let us do Google search analysis with the help of python based on search queries.
The article content:
- What is Pytrends?
- How to install Pytrends
- Connect to Google
- Build Payload
- Interest Over Time
- Historical Hourly Interest
- Interest by Region
- Top Charts
- Related Queries
- Keyword Suggestion