There are 1 repository under pytrends topic.
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.
Cloud Functions I needed to build for my projects: Requesting from an API || Loading generated data and objects (pics) into Cloud Storage || Loading data from BigQuery for its processing.
Nowcasting macroeconomic indicators using Google Trends
Automated reels/shorts creating program that generates content about realtime trending topics
We geo-spatially correlate Google trend indices of 5 most popular ethnic cuisines to 51 regions in the US from 2004 to 2020 and explore its societal impacts, powered by Python for data scraping and D3.js for data visualization.
We scrape Google trend indices and annual revenues of 3 major camera brands, visualize the data, and use machine learning to predict who will dominate the camera market in the future, powered by Python and JavaScript (D3.js).
Scrapes data off Google Trends and makes it more insightful.
一個基於 Google Trends API 的自動化數據分析工具,專門分析台灣上市公司的搜尋趨勢。通過收集與視覺化公司名稱和股票代碼的搜尋量數據,幫助理解大眾關注度與股市活動之間的關聯。
SentiArc is a webapp that displays information about companies in a familiar and easy-to-understand form, with a focus on company sentiment.
🔧 A Python-based script to compare the popularity of multiple keywords using Google Trends data, now with a Flask web interface for easy access and visualization.
Timeseries Analysis based on Google Trends and Anomaly Detection
An exploratory analysis of the search term 'Deep Learning' using pytrends to fetch our data from Google Trends.
Collection of notebooks written while learning to work with Google Trends API.
A simple script that logs the top 5 trending searches in India.
This repository more easily acquires LSI and Long-Tail keywords for SEO.
Game of the year prediction, big data analysis with Twitter API, and Google Trends
This project was implemented as part of my master's thesis in the program "Specialization in Information Systems" at the Hellenic Open University (HOU)/https://www.eap.gr/en/postgraduate-specialization-in-information-systems/.
利用 Google 趨勢的 API 爬取近一個月的資料,並收集搜尋字詞製作字典
This script would pull googletrend data from API with Pytrend library. Main function to pull all data for selected category with defined time range
Crianção de nuvem de palavras com termos filtrados do Google Trends.
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.
Examples of using python library pytrends , made some queries and analysis on interest score and correlation of stock data
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.
Search Analysis using Google Trends Analysis on Russian S400
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 searched most about it etc. This projectcan help us understand what's the current requirement of market is and what problems needed to be solved for effective growth of any organiztaion.
A social media trend-based post generator, which generates social media posts based on trending keywords in selected countries, using OpenAI's API function callings for treading searches and content generation. Running on Hugging Face.
Analyzing Google Search to find the top 10 countries searching the word "Machine Learning" and other insights.
Google Search Trending Analysis using Pytrends
Analyzing trends in the AI landscape over time using Google Trends and visualizing the results using Power BI
🔧 A Python-based script to compare the popularity of multiple keywords using Google Trends data.
This project showcases how to perform Google search analysis using the Pytrends API, which provides insights from Google Trends. In this analysis, I focus on the search term "Machine Learning" to observe trends across different countries and over time.