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
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.
SentiArc is a webapp that displays information about companies in a familiar and easy-to-understand form, with a focus on company sentiment.
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 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.
This script would pull googletrend data from API with Pytrend library. Main function to pull all data for selected category with defined time range
Makers in the City need DATA
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.
This visualization shows the popularity growth of Tesla inc. with respect to the highest searches and sorted by countries. The graph also displays the constant increasing slope of Tesla in the user curiosity from 2016 onwards.
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.
Crianção de nuvem de palavras com termos filtrados do Google Trends.
Analyzing Google Search to find the top 10 countries searching the word "Machine Learning" and other insights.
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
Import and analysis techniques for Google Trends data [PL]
Google Search Trending Analysis using Pytrends
Analyzing trends in the AI landscape over time using Google Trends and visualizing the results using Power BI
Ticapsoriginal analisys tags on google trends