This Python script allows users to scrape valuable business data from Google Maps. By inputting a zip code and search phrase, the script collects details like business name, address, phone number, status, and the distance in miles from the entered postal code. The data is then formatted and saved into a spreadsheet for easy access and analysis.
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This project provides a Python-based scraper for extracting Google Maps data based on a specific location and search term. It solves the problem of collecting business information from Google Maps, which can be time-consuming when done manually.
This script is designed for users who need to aggregate location-based business data quickly and efficiently, whether for market research, sales prospecting, or geographic analysis.
- Scalable Solution: Pulls large amounts of location-based data in seconds.
- Customizable Search: Accepts a zip code and search phrase for flexible queries.
- Efficient Data Export: Saves extracted data directly into a spreadsheet for further analysis.
| Feature | Description |
|---|---|
| Location Search | Accepts zip code and search term to filter results. |
| Data Extraction | Scrapes business name, address, phone number, status, and distance. |
| Spreadsheet Output | Exports collected data to a well-structured spreadsheet. |
| Field Name | Field Description |
|---|---|
| name | The business name from Google Maps. |
| address | The physical address of the business. |
| phone_number | The contact phone number of the business. |
| status | Current business status (open/closed, etc.). |
| distance | The distance in miles from the entered zip code. |
[
{
"name": "Joe's Pizza",
"address": "123 Main St, New York, NY",
"phone_number": "(123) 456-7890",
"status": "Open",
"distance": 2.5
},
{
"name": "Tech Store",
"address": "456 Tech Ave, San Francisco, CA",
"phone_number": "(987) 654-3210",
"status": "Closed",
"distance": 5.3
}
]
google-maps-python-data-scraper/
├── src/
│ ├── scraper.py
│ ├── utils/
│ │ └── data_processor.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── results.xlsx
├── requirements.txt
└── README.md
Businesses use this scraper to gather a list of competitors in their area, so they can analyze market trends.
Sales Teams use it to collect contact information for local businesses, enhancing lead generation.
Researchers use the data to analyze geographic patterns in business activity, supporting strategic decisions.
How do I use the script? Simply provide a zip code and search phrase as input. The script will scrape the relevant Google Maps data and export it to a spreadsheet.
Can I adjust the search parameters? Yes, you can customize the search term and zip code based on your needs. The script is flexible and scalable.
Primary Metric: The script can scrape up to 500 businesses per minute, depending on network conditions.
Reliability Metric: The success rate is approximately 98%, with minimal downtime or failure due to robust error handling.
Efficiency Metric: The script is highly efficient, using minimal memory and CPU resources during scraping.
Quality Metric: Data is extracted with high precision, ensuring accurate business details in the final output.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
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