Access current search trends on Google with this Python project. Track and visualize these data.
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Updated
Jun 20, 2024 - Python
Access current search trends on Google with this Python project. Track and visualize these data.
Topic Mine leverages 1st and/or 2nd party data to identify trending topics and uses our GEMINI to create relevant ads' texts. It generates headlines, descriptions and keywords given a list of products, brands or services and (optionally) additional info about them.
A Google Trends Analytics Package
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 project fork from GoogleTrendsAnchorBank with the aim to integrate with mongodb.
Attempt to predict future stock prices based on Google Trends data.
Python script to get Current Google Trends in JSON or formatted HTML.
Learn how to chart and track Google Trends in Data Studio using Python (WIP)
This repository contains python code used to collect daily Google Trends data on specific keyword groups between 2018 and 2021. In order to rescale the data, I use the method outlined in Brodeur et al. (2021).
Python package to get the full time series for any search query with daily frequency.
This web application is made using streamlit and python.
Domain Generation Algorithm developed with Google Trends
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
simple Google trends API
Collecting social cryptocurrency data from different API (Twitter, Reddit, Google Trends)
A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315
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.
This is the second version of the Google Serch Trends API. Having completed the initial testing of the first version. The next step was to create a series of functions in line with the principles of object-oriented programming. Initially was created in a linear format as a proof of concept. Later split the code into five main functions.
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