Custom Google Map Scraping Solution
Zain Ali
Data Scraper
Automation Engineer
Data Engineer
Python
Scrapy
Selenium
Project Overview:
Google Maps is a treasure trove of valuable information, but manually gathering data from it can be time-consuming and inefficient. With our Custom Google Map Scraping Solution, we automate this process, providing you with accurate and comprehensive data tailored to your specific requirements.
Key Features:
Targeted Data Extraction:
Extract data from specific locations, cities, or regions.
Gather detailed information on businesses, including names, addresses, phone numbers, websites, ratings, reviews, and more.
Customizable Parameters:
Define the types of places or businesses you want to scrape (e.g., restaurants, hotels, stores, etc.).
Specify search parameters such as keywords, categories, and geographic boundaries.
High-Quality Data:
Ensure data accuracy and relevancy through thorough validation and filtering processes.
Regular updates to keep your data current and reliable.
Flexible Output Formats:
Receive your data in your preferred format (CSV, Excel, JSON, etc.).
Integration options are available for direct import into your database or CRM system.
Scalability:
Capable of handling both small-scale and large-scale scraping projects.
Efficient processing to deliver results promptly, regardless of the data volume.
