Overview

The suggestions() function in the pytrends library allows you to retrieve search suggestions for a specific query. By analyzing these suggestions, you can discover new keywords and trends that are relevant to your search query, helping you to create more engaging and targeted content.

In this tutorial, we will cover:

  1. Importing the necessary libraries
  2. Setting up the pytrends request
  3. Retrieving search suggestions data
  4. Analyzing the results

Retrieve Search Suggestions Data

First, we need to import the necessary libraries and set up our pytrends request.

from pytrends.request import TrendReq

# Set up pytrends request
pytrends = TrendReq(hl='en-US', tz=360)

Next, we’ll retrieve search suggestions for a specific query using the suggestions() function.

# Retrieve search suggestions for the query 'Python'
suggestions = pytrends.suggestions(keyword='Python')

This will return a list of dictionaries containing search suggestions related to the query ‘Python’.

Analyzing the Results

Now, we can analyze the search suggestions data to discover new keywords and trends related to our search query.

# Display the search suggestions
for suggestion in suggestions:
    print(suggestion['title'])

This will display the search suggestions related to the query ‘Python’, providing valuable insights into new keywords and trends that are relevant to your search query.

Conclusion

In this post, we’ve demonstrated how to use the suggestions() function in the pytrends library to refine your trend searches by obtaining search suggestions based on a given query. By exploring these suggestions, you can discover new keywords and trends that are relevant to your search query, helping you to create more engaging and targeted content. This tutorial has covered the process of collecting and analyzing search suggestions data, from setting up the pytrends request to analyzing the results. Using these insights, you can enhance your keyword research and content strategy.

NOTE : pytrends uses an unofficial API. Please use here for issues.

SAMPLE CODE : https://github.com/hobbyworker/google-trend-for-python