Learn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.

Google Shopping Scraper can scrape and parse various Google Shopping page types to collect structured e-commerce data.

Google Play Scraper for collecting public details about applications, games, movies & TV shows, books, and more.

Attempt to predict future stock prices based on Google Trends data.

Unofficial Google Trends API for Go

Guide to Using Google Sheets for Basic Web Scraping

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets

trends management

Python package to get the full time series for any search query with daily frequency.

Scrape Google Trends data using Python or the Bright Data API. Get real-time search trends, filter by location, category, and time range, and scale effortlessly.

A Google Trends Analytics Package

simple Google trends API

Scrape the internet for cryptocurrency data!

📊 An attempt to use Google Trends, Twitter and Wikipedia to find the relation between interest, search and opinion

Domain Generation Algorithm developed with Google Trends

Unofficial Rust API for interacting with Google Trend

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。

Using google search trends and machine learning to predict emergency department visits

Power BI Dashboard Tracking Recession Indicators: Macro-Economic Data and Google Trends using Web-Scraping and PyTrends API

Explore real-time trends and gain valuable insights with Trend Vortex, a powerful Vue.js frontend application that connects to the Google Trends API. Stay ahead of the curve and uncover the pulse of the moment.