Python CLI for Google Trends analysis with advanced rate limiting, cookie auth, and beautiful terminal output. Built on pytrends with enterprise features.

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.

Package to download long-term Google Trends

Nowcasting macroeconomic indicators using Google Trends

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.

The Modern Google Trends API - Combining the best features from pytrends, trendspyg, and more.

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。

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.

🔧 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.

Fetching Google Trends in an async. way

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 repository more easily acquires LSI and Long-Tail keywords for SEO.

A simple script that logs the top 5 trending searches in India.

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

Collection of notebooks written while learning to work with Google Trends API.

An exploratory analysis of the search term 'Deep Learning' using pytrends to fetch our data from Google Trends.