What is open source google maps scraper?
scrape data data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude, reviews,email and more for each place - gosom/google-maps-scraper
Problem
Users need to manually gather business data from Google Maps, such as names, addresses, phone numbers, websites, ratings, reviews, latitude, longitude, and emails, which is time-consuming and tedious.
Solution
A tool to scrape business data from Google Maps, extracting details like names, addresses, phone numbers, websites, ratings, reviews, latitude, longitude, emails, and more automatically.
Core features: scrape data from Google Maps, extract information like business names, addresses, contact details, ratings, reviews, coordinates, and email addresses.
Customers
Business owners, marketers, researchers, and analysts needing business data for market analysis, lead generation, competitor research, and data-driven decision-making.
Specific Position: Marketing managers, data analysts, business development managers, and market researchers.
Unique Features
Automated extraction of a wide range of business data from Google Maps, saving time and effort for users.
Detailed information retrieval including email addresses, precise coordinates, and a variety of data points.
User Comments
Easy to use and saves a lot of time for collecting business information.
Accurate data extraction and helpful for marketing campaigns.
Great tool for lead generation and competitor analysis.
Efficient and reliable in scraping data from Google Maps.
Highly recommended for business research and analysis.
Traction
Over 1,000 downloads on GitHub for the open-source Google Maps scraper project.
Positive feedback from users and contributors on GitHub and ProductHunt.
Increasing popularity among businesses and marketers for data extraction needs.
Market Size
$3.8 billion - Estimated market size for web scraping and data extraction tools in 2021.
Growing demand for business data extraction tools due to the importance of data-driven decision-making.
