"Revolutionizing Data Extraction, Unlock Hidden Data, Unlock New Possibilities"
Google Maps Data Scraping Services by iVeerData help businesses extract accurate, location-based intelligence from Google Maps, one of the most comprehensive sources of local business information worldwide. Google Maps contains millions of verified business listings enriched with reviews, ratings, categories, and geo-location data, making it a critical asset for market research, lead generation, and competitive analysis.
Our Google Maps data scraping solutions transform unstructured map listings into clean, structured datasets. We collect detailed business names, addresses, phone numbers, websites, operating hours, categories, reviews, ratings, and latitude-longitude coordinates. This data enables organizations to analyze local market density, customer sentiment, competitor presence, and expansion opportunities with precision.
iVeerData delivers Google Maps extracted data in CSV, Excel, JSON, or via secure API integrations, ensuring seamless integration with CRM systems, analytics platforms, and internal databases.
What is Google Maps Data Scraping?
Google Maps data scraping is the process of collecting publicly available business information from Google Maps, including listings, reviews, ratings, contact details, and geographic coordinates. This data is widely used for market analysis, local SEO research, lead generation, and location-based decision-making.
What Data Can Be Extracted from Google Maps?
- Business Names & Place IDs: Extract verified business names along with unique Google Place IDs for accurate identification and data mapping.
- Addresses & Geo-Coordinates: Collect complete addresses, latitude-longitude data, and map links to support location intelligence and proximity analysis.
- Phone Numbers & Websites: Capture publicly listed contact numbers and official business websites for lead generation and outreach campaigns.
- Business Categories & Attributes: Extract primary and secondary categories, amenities, and service attributes to classify businesses accurately.
- Opening Hours & Popular Times: Gather operational hours and peak activity indicators to analyze customer footfall patterns.
- Reviews & Ratings: Extract customer reviews, star ratings, timestamps, and reviewer metadata for sentiment and reputation analysis.
Use Cases of Google Maps Data Scraping
- Local Business Lead Generation: Identify potential clients by extracting verified business listings across specific locations and industries.
- Restaurant & Café Market Analysis: Analyze restaurant density, pricing signals, and customer feedback to understand competitive landscapes.
- Travel & Location Intelligence: Discover high-demand tourist locations, attractions, and hospitality hubs using geo-based insights.
- Competitor Density Analysis: Evaluate competitor presence within defined radii to support expansion and site-selection decisions.
- Franchise Expansion Planning: Use location and review data to identify profitable regions for franchise or outlet expansion.
How Our Google Maps Data Scraping Process Works
- Define target locations, keywords, or business categories
- Extract listings using scalable and ethical scraping methods
- Clean, normalize, and deduplicate the collected data
- Deliver structured datasets or API access based on requirements
Is Google Maps Data Scraping Legal?
Google Maps data scraping is legal when it involves collecting publicly accessible information and using it for lawful purposes such as market research, analytics, and business intelligence. iVeerData follows responsible data collection practices and prioritizes compliance with applicable data protection regulations.
Benefits of Google Maps Data Scraping
- Accurate Local Market Intelligence: Gain deep insights into local business landscapes, competitor density, and regional demand using real-time Google Maps data.
- High-Quality Lead Generation: Build targeted lead lists by extracting verified business names, contact details, categories, and locations.
- Improved Location-Based Decisions: Support expansion, site selection, and franchise planning with geo-coordinates, proximity analysis, and footfall indicators.
- Customer Sentiment Insights: Analyze reviews and ratings to understand customer preferences, service gaps, and brand reputation.
- Scalable & Structured Data: Receive clean, deduplicated datasets in CSV, Excel, JSON, or API format, ready for analytics and CRM integration.
Why Choose iVeerData for Google Maps Data Scraping?
Custom-Built Google Maps Scraping Solutions: iVeerData creates tailored Google Maps data scraping solutions designed around your target locations, business categories, and data requirements, ensuring precise and relevant data extraction.
High-Accuracy & Frequently Updated Datasets: Our scraping infrastructure delivers clean, validated, and regularly refreshed Google Maps datasets to support reliable analytics and decision-making.
Global Location Coverage: iVeerData extracts Google Maps data across cities, regions, and countries worldwide, enabling businesses to scale their local market intelligence effortlessly.
Flexible Data Delivery & API Integrations: We provide Google Maps data in CSV, Excel, JSON formats, or through secure APIs for seamless integration with your existing systems and workflows.
Dedicated Technical & Data Quality Support: Our expert team ensures continuous monitoring, data accuracy checks, and ongoing technical assistance throughout the project lifecycle.
