Google-Maps-Scrapper

This Python script utilizes the Playwright library to perform web scraping and data extraction from Google Maps. It is particularly designed for obtaining information about businesses, including their name, address, website, phone number, reviews, and more.

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Table of Contents

• Prerequisites
• Key Features
• Installation
• Usage
• Example
• Notes
• Video Example

Prerequisites

• Python 3.8 or 3.9 (Python 3.10+ may not be compatible with some dependencies)
• Google Chrome or Chromium browser installed (for Playwright)

Key Features

• Data Scraping: The script scrapes data from Google Maps listings, extracting valuable information about businesses, such as their name, address, website, and contact details.

• Review Analysis: It extracts review counts and average ratings, providing insights into businesses' online reputation.

• Business Type Detection: The script identifies whether a business offers in-store shopping, in-store pickup, or delivery services.

• Operating Hours: It extracts information about the business's operating hours.

• Introduction Extraction: The script also scrapes introductory information about the businesses when available.

• Data Cleansing: It cleanses and organizes the scraped data, removing redundant or unnecessary columns.

• CSV Export: The cleaned data is exported to a CSV file for further analysis or integration with other tools.

Installation

1. Clone this repository:

   git clone https://github.com/zohaibbashir/Google-Maps-Scrapper.git
   cd google-maps-scraper

2. Install Python dependencies:

   pip install -r requirements.txt

3. Install Playwright browsers:

   playwright install

Usage

Run the script with your desired search term and number of results:

python main.py -s "Turkish Restaurants in Toronto Canada" -t 20

• -s or --search: Search query for Google Maps (default: "turkish stores in toronto Canada")
• -t or --total: Number of results to scrape (default: 1)
• -o or --output: Output CSV file path (default: result.csv)
• --append: Append results to the output file instead of overwriting (default: off)

Example

Append new results to an existing CSV file:

python main.py -s "Turkish Restaurants in Toronto Canada" -t 20 -o toronto_turkish_restaurants.csv --append

The script will launch a browser, perform the search, and start scraping information. Progress will be displayed in the terminal, and results will be saved to the specified CSV file. If --append is used, new results will be added to the end of the file without removing previous data.

Notes

• The script opens a visible browser window (not headless) for scraping.
• Google Maps DOM may change, which can break the script. If you encounter issues, update the XPaths in main.py.
• Avoid running too many scrapes in a short period to prevent being blocked by Google.

Video Example

https://www.linkedin.com/posts/zohaibbashir_python-data-webscraping-activity-7093920891411062784-flEQ

License

MIT