APISCRAPY, your premier provider of Map Data solutions. Map Data encompasses various information related to geographic locations, including Google Map Data, Location Data, Address Data, and Business Location Data. Our advanced Google Map Data Scraper sets us apart by extracting comprehensive and accurate data from Google Maps and other platforms.

What sets APISCRAPY's Map Data apart are its key benefits:

1. Accuracy: Our scraping technology ensures the highest level of accuracy, providing reliable data for informed decision-making. We employ advanced algorithms to filter out irrelevant or outdated information, ensuring that you receive only the most relevant and up-to-date data.

2. Accessibility: With our data readily available through APIs, integration into existing systems is seamless, saving time and resources. Our APIs are easy to use and well-documented, allowing for quick implementation into your workflows. Whether you're a developer building a custom application or a business analyst conducting market research, our APIs provide the flexibility and accessibility you need.

3. Customization: We understand that every business has unique needs and requirements. That's why we offer tailored solutions to meet specific business needs. Whether you need data for a one-time project or ongoing monitoring, we can customize our services to suit your needs. Our team of experts is always available to provide support and guidance, ensuring that you get the most out of our Map Data solutions.

Our Map Data solutions cater to various use cases:

1. B2B Marketing: Gain insights into customer demographics and behavior for targeted advertising and personalized messaging. Identify potential customers based on their geographic location, interests, and purchasing behavior.

2. Logistics Optimization: Utilize Location Data to optimize delivery routes and improve operational efficiency. Identify the most efficient routes based on factors such as traffic patterns, weather conditions, and delivery deadlines.

3. Real Estate Development: Identify prime locations for new ventures using Business Location Data for market analysis. Analyze factors such as population density, income levels, and competition to identify opportunities for growth and expansion.

4. Geospatial Analysis: Leverage Map Data for spatial analysis, urban planning, and environmental monitoring. Identify trends and patterns in geographic data to inform decision-making in areas such as land use planning, resource management, and disaster response.

5. Retail Expansion: Determine optimal locations for new stores or franchises using Location Data and Address Data. Analyze factors such as foot traffic, proximity to competitors, and demographic characteristics to identify locations with the highest potential for success.

6. Competitive Analysis: Analyze competitors' business locations and market presence for strategic planning. Identify areas of opportunity and potential threats to your business by analyzing competitors' geographic footprint, market share, and customer demographics.

Experience the power of APISCRAPY's Map Data solutions today and unlock new opportunities for your business. With our accurate and accessible data, you can make informed decisions, drive growth, and stay ahead of the competition.

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The Google Maps dataset is ideal for getting extensive information on businesses anywhere in the world. Easily filter by location, business type, and other factors to get the exact data you need. The Google Maps dataset includes all major data points: timestamp, name, category, address, description, open website, phone number, open_hours, open_hours_updated, reviews_count, rating, main_image, reviews, url, lat, lon, place_id, country, and more.

The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

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This dataset has information about laundry shops located in Riyadh, Saudi Arabia. It was obtained by dividing the city into a grid of 1000X1000 meters and then used a search algorithm to search and extract data from Google Maps.

Riyadh Cafes and Bakeries Dataset

Dataset Description

This dataset contains information about cafes and bakeries in Riyadh, Saudi Arabia. The data includes business names, types, ratings, locations, and customer engagement metrics. This dataset is useful for trend detection, and business intelligence applications.

Dataset Features

The dataset includes the following columns:

• Name: The name of the cafe or bakery.
• Type_of_Utility: Indicates whether the place is a café or another type of business.
• Number_of_Ratings: Total number of customer ratings received.
• Rating: Average customer rating (out of 5 stars).
• Longitude: Geographic coordinate indicating the business location.
• Latitude: Geographic coordinate indicating the business location.

Potential Use Cases

• Geospatial Analysis: Identify location-based trends for cafes and bakeries.
• Business Intelligence: Understand customer engagement and rating trends.
• Market Research: Study the popularity of cafes in different areas of Riyadh.

Data Source

The data has been scraped from google maps from Riyadh city.

When was the data scraped?

2025/3/20

Supported File Types

xls

License

This dataset is free to use for research and analysis purposes.

Acknowledgments

Special thanks to the contributors and data providers who made this dataset available.

For any questions or issues, feel free to comment on the Kaggle dataset page.