pytrends
Here are 34 public repositories matching this topic...
Approximately 3.5 billion searches are performed on Google daily, which means that approximately 40,000 searches are performed every second on Google. So Google search is a great use case for analyzing data based on search queries.
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Jun 1, 2024 - Jupyter Notebook
Analyzing trends in the AI landscape over time using Google Trends and visualizing the results using Power BI
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May 26, 2024 - Jupyter Notebook
This Streamlit tool automates the integration of Google Trends analysis with Google Search Console data to track performance trends for key search queries, good for SEO and content marketing.
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Mar 19, 2024 - Python
Welcome to GPTNicheFinder, a powerful niche research tool powered by Google Trends data and OpenAI's GPT model. This application provides a streamlined approach to identify profitable niche markets by leveraging data-driven insights and cutting-edge artificial intelligence.
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Feb 9, 2024 - Python
Explore the 'Cultural Health Moments' project, analyzing the impact of cultural events on digital health consumers' search behavior. Access code, data, and insights to uncover opportunities for disease awareness and engagement strategies.
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Oct 8, 2023 - Jupyter Notebook
Examples of using python library pytrends , made some queries and analysis on interest score and correlation of stock data
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Sep 11, 2023 - Jupyter Notebook
Timeseries Analysis based on Google Trends and Anomaly Detection
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May 10, 2023 - Jupyter Notebook
Scrapes data off Google Trends and makes it more insightful.
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May 8, 2023 - Jupyter Notebook
This repository more easily acquires LSI and Long-Tail keywords for SEO.
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Apr 21, 2023 - Python
SentiArc is a webapp that displays information about companies in a familiar and easy-to-understand form, with a focus on company sentiment.
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Nov 19, 2022 - JavaScript
Collection of notebooks written while learning to work with Google Trends API.
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May 17, 2022 - Jupyter Notebook
This project perform analysis about the term "Cloud Computing" . It analyses how many times the word has been searched and by how many people on daily,monthly and yearly basis in the whole world. After analysing this we can answer questions like when search was maximum,when it was minimum,what were the search trends, which countries have searche…
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Jan 27, 2022 - Jupyter Notebook
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