Google Maps Locations Scraper

This script utilizes Selenium to extract data from commercial places on the web. It allows you to specify multiple categories and corresponding locations in a JSON file, enabling the script to iteratively scrape data from each category-location pair.

Information scraped:

• Name
• Website URL
• Reviews Score
• Reviews Amount
• Phone number
• GoogleMaps URL

Installation of Requirements

1. Clone this repository to your local machine:

   git clone https://github.com/LorennMarque/Google-Maps-Scraper-Fast.git

2. Install the dependencies using the requirements.txt file:

   pip install -r requirements.txt

3. Configuration of the config.json File: Open the config.json file and customize it with the information you are looking for. Here is an example configuration:

   {
     "categories": ["restaurants"],
     "target_locations": ["san juan, Argentina"],
     "csv_filename": "places_data.csv"
   }

   • categories: The type of business you want to extract (you can add or remove categories as needed).
   • target_locations: Specific places where you want to perform the extraction (you can add or remove locations as needed).
   • csv_filename: The name of the CSV file to export the data.

Running the Script

Once you have configured the config.json file, execute the following command to start the script:

python data-entry.py

Monitor the console to see how the script is working. Note that obtaining results may take up to 10 seconds to be stored.

That's it! You should now have a CSV file with the extracted data from the places you specified in the configuration file.