Step-by-step Google Maps scraping tutorial in Python. Extract local business data with Selenium, BeautifulSoup & proxy rotation support.
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Updated
Dec 2, 2025 - Python
Step-by-step Google Maps scraping tutorial in Python. Extract local business data with Selenium, BeautifulSoup & proxy rotation support.
Scan Google Maps Api Keys and see which services you can use. Original codebase from ozguralp/gmapsapiscanner
A web-app for Govt officials to track potholes in city and update pothole status.
A Python-based tracking system for location detection from phone number, map integration and SMS notifications.
A standalone app to scrape places from Google Maps (example: Pizza Places in New York)
Lookup an address using an online provider.
Downloads high resolution maps with user defined styling using the Google Maps Static API
DermAI is a Python-powered AI toolkit for skin disease detection and analysis. Leveraging machine learning, DermAI assists in diagnosing dermatological conditions from medical images, streamlining early detection and supporting healthcare professionals with automated insights.
highly scalable logistics platform that allows users to book transportation services for moving goods with Django
WEB. Решение задач на API Яндекс.Карт в яндекс лицее
📋 Django Python app to interact with a range of Google APIs
Capturador de Dados do Google Maps é um projeto em Python que extrai informações de estabelecimentos comerciais no Google Maps, criando arquivos HTML com detalhes como nome da empresa, contato, site e URL da página no Google Maps. Ideal para profissionais que buscam adquirir clientes utilizando informações do Google Maps de forma eficiente.
This is a simple program that you give an address and a location and it gives you an html map of surrounding restaurants based on a list of cuisines you can edit in the Restaurant_Mapper file. All you need is a Google API key with Geolocating and Places enabled.
Образовательные веб-проекты Яндекс Лицея: от базового HTML до Flask-приложений с API интеграцией
Micro-climatic modelling project designed around a network of different sensors.
A simple app built to streamline transport allowance reimbursement. The app automates calculation of allowance by using distance matrix APIs (requires HERE map API keys to function).
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