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GMB Profiles Scraper is a Python tool that uses Selenium to extract data from Google My Business profiles. It automates the collection of business names, addresses, and reviews, handling dynamic content with ease. Customizable settings make it ideal for business research and data analysis.

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GMB Profiles Scraper

This repository contains a Python script for scraping Google My Business (GMB) profiles using Selenium. The script is designed to extract relevant information from GMB profiles for various use cases such as data analysis, business insights, and more.

Features

  • Scrapes GMB profiles for various details.
  • Utilizes Selenium for web scraping.
  • Customizable to fit different scraping needs.
  • Handles dynamic content loading and interactive elements.

Prerequisites

  • Python 3.x
  • Selenium
  • WebDriver for your browser (e.g., ChromeDriver for Google Chrome)

Installation

  1. Clone the repository:

    git clone https://github.com/Mehnaz2004/GMB-Profiles.git
  2. Navigate to the project directory:

    cd GMB-Profiles
  3. Install the required Python packages:

    pip install -r requirements.txt
  4. Download the appropriate WebDriver for your browser and place it in a directory included in your system's PATH.

Usage

  1. Open the scraper.py file and configure the scraping parameters as needed.

  2. Run the script:

    python scraper.py
  3. The scraped data will be saved in a CSV file (or any other format specified in the script).

Configuration

Modify the scraper.py file to adjust the scraping settings, including:

  • URL of the GMB profiles to scrape.
  • Elements to extract.
  • Output file format and destination.

Contributing

Contributions are welcome! If you have suggestions, bug reports, or improvements, please open an issue or submit a pull request.

Contact

For any questions or further information, you can reach me at mehnazali2004@gmail.com.

About

GMB Profiles Scraper is a Python tool that uses Selenium to extract data from Google My Business profiles. It automates the collection of business names, addresses, and reviews, handling dynamic content with ease. Customizable settings make it ideal for business research and data analysis.

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