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Dataset Overview

Welcome to the Google Places Comprehensive Business Dataset! This dataset has been meticulously scraped from Google Maps and presents extensive information about businesses across several countries. Each entry in the dataset provides detailed insights into business operations, location specifics, customer interactions, and much more, making it an invaluable resource for data analysts and scientists looking to explore business trends, geographic data analysis, or consumer behaviour patterns.

Key Features

• Business Details: Includes unique identifiers, names, and contact information.
• Geolocation Data: Precise latitude and longitude for pinpointing business locations on a map.
• Operational Timings: Detailed opening and closing hours for each day of the week, allowing analysis of business activity patterns.
• Customer Engagement: Data on review counts and ratings, offering insights into customer satisfaction and business popularity.
• Additional Attributes: Links to business websites, time zone information, and country-specific details enrich the dataset for comprehensive analysis.

Potential Use Cases

This dataset is ideal for a variety of analytical projects, including: - Market Analysis: Understand business distribution and popularity across different regions. - Customer Sentiment Analysis: Explore relationships between customer ratings and business characteristics. - Temporal Trend Analysis: Analyze patterns of business activity throughout the week. - Geospatial Analysis: Integrate with mapping software to visualise business distribution or cluster businesses based on location.

Dataset Structure

The dataset contains 46 columns, providing a thorough profile for each listed business. Key columns include:

• business_id: A unique Google Places identifier for each business, ensuring distinct entries.
• phone_number: The contact number associated with the business. It provides a direct means of communication.
• name: The official name of the business as listed on Google Maps.
• full_address: The complete postal address of the business, including locality and geographic details.
• latitude: The geographic latitude coordinate of the business location, useful for mapping and spatial analysis.
• longitude: The geographic longitude coordinate of the business location.
• review_count: The total number of reviews the business has received on Google Maps.
• rating: The average user rating out of 5 for the business, reflecting customer satisfaction.
• timezone: The world timezone the business is located in, important for temporal analysis.
• website: The official website URL of the business, providing further information and contact options.
• category: The category or type of service the business provides, such as restaurant, museum, etc.
• claim_status: Indicates whether the business listing has been claimed by the owner on Google Maps.
• plus_code: A sho...

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This training, developed by UNEP, covers the basic of Google Earth Pro, including how to search for locations and create data. Google Earth Pro is a useful tool for participatory mapping processes.

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As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

The global Website Visitor Tracking Software market is poised for significant expansion, projected to reach an estimated value of USD 5,500 million by 2025. This robust growth is fueled by an impressive Compound Annual Growth Rate (CAGR) of XX% over the forecast period of 2025-2033. Key drivers propelling this surge include the escalating need for businesses to understand user behavior, optimize conversion rates, and personalize customer experiences. The increasing adoption of cloud-based solutions, offering scalability and cost-effectiveness, is also a major contributor. Furthermore, the growing realization among Small and Medium-sized Enterprises (SMEs) of the competitive advantage derived from data-driven insights is democratizing access to advanced tracking tools. As digital footprints expand, so does the imperative for businesses to analyze website interactions, leading to a sustained demand for sophisticated visitor tracking software. The market landscape is characterized by evolving trends such as the integration of Artificial Intelligence (AI) and Machine Learning (ML) for predictive analytics and enhanced user segmentation. The rise of privacy-conscious tracking methods, complying with regulations like GDPR and CCPA, is also shaping product development. While the market presents immense opportunities, certain restraints, such as the initial cost of implementation for highly advanced features and the potential for data overload if not managed effectively, need to be addressed. The competitive arena features a diverse range of players, from comprehensive analytics suites like Google Analytics and Adobe Analytics to specialized tools focusing on lead generation and user experience improvement. The dominance of North America is expected to continue, driven by early adoption and a mature digital economy, but the Asia Pacific region is anticipated to witness the fastest growth due to its rapidly expanding internet penetration and burgeoning e-commerce sector. This report provides a comprehensive analysis of the global Website Visitor Tracking Software market, valued at an estimated $2.8 billion in 2023. The market is projected to witness a robust Compound Annual Growth Rate (CAGR) of 14.5% over the next five years, reaching approximately $5.6 billion by 2028. This growth is fueled by increasing demand for data-driven decision-making, personalized customer experiences, and enhanced marketing ROI.

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This dataset is ideal for analyzing trends in customer feedback across different types of businesses, understanding the impact of online presence through websites on customer ratings, and exploring geographical patterns in business performance via Google Maps links. Suitable for data scientists, market analysts, or anyone interested in business analytics or sentiment analysis. ​

• Title: Name of the restaurant.
• CategoryName: Type or category of the establishment (e.g., Mexican, Asian).
• Website: URL to the establishment's official website, if available.
• URL: Google Maps URL of the establishment.
• ReviewsCount: Number of reviews the establishment has received on Google Maps.
• Stars: Average star rating of the establishment on Google Maps, on a scale from 1 to 5.
• Text: Actual text of the reviews (partially available, as some entries are missing review text).

This dataset represents a yearly summary of web activity for mississauga.ca by country. This data is compiled by Google Analytics and is updated annually.

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South Korea Geospatial Analytics Market size was valued at USD 970 Million in 2024 and is projected to reach USD 1953 Million by 2032, growing at a CAGR of 9.1% from 2026 to 2032. Key Market Drivers:Rising Government Investments in Smart City Development: The South Korea geospatial analytics market is experiencing strong growth due to increasing government funding for smart city infrastructure and digital transformation. According to the Ministry of Land, Infrastructure and Transport (2023), South Korea allocated 1.2 Trillion (USD 900 Million) for smart city projects leveraging geospatial data. Key players like SK Telecom and LG CNS have developed AI-powered geospatial platforms for urban planning. In 2024, Naver Labs launched a 3D digital twin solution for Seoul, enhancing real-time spatial analytics. Recent news highlights Samsung SDS’s partnership with local governments to integrate geospatial AI into traffic and disaster management systems.Growing Demand for Location-Based Services in Retail & Logistics: The rapid expansion of e-commerce and last-mile delivery services is driving adoption of geospatial analytics for route optimization and customer targeting. A 2023 Korea Statistics Bureau report revealed that over 65% of logistics firms now use geospatial data for fleet management. Companies like Coupang and Baemin are implementing real-time tracking systems powered by Google Maps Platform and Kakao Mobility. In early 2024, KT (Korea Telecom) introduced an AI-driven logistics analytics tool to reduce delivery times. Recent developments include Lotte Data Communication’s geofencing solutions for personalized retail marketing.Increasing Use of Geospatial Tech in Autonomous Vehicles & Drones: The push toward autonomous mobility and drone delivery is accelerating demand for high-precision geospatial mapping and analytics. The Korean Ministry of Science and ICT (2024) reported that autonomous vehicle testing zones expanded by 30% in 2023, requiring advanced spatial data. Hyundai’s Motional and Kia are collaborating with TomTom and HERE Technologies for HD mapping. In 2024, Kakao Mobility launched a drone delivery pilot in Seoul using real-time geospatial analytics. Recent news highlights Hanwha Systems’ AI-based geospatial platform for military and civilian drone operations.

The Geospatial Analytics Marketsize was valued at USD 79.06 USD billion in 2023 and is projected to reach USD 202.74 USD billion by 2032, exhibiting a CAGR of 14.4 % during the forecast period. Recent developments include: February 2024: Placer.ai and Esri, a Geographic Information System (GIS) technology provider, partnered to empower customers with enhanced analytics capabilities, integrating consumer behavior analysis. Additionally, the agreement will foster collaborations to unlock further features by synergizing our respective product offerings., December 2023: CKS and Esri India Technologies Pvt Ltd teamed up to introduce the 'MMGEIS' program, focusing on students from 8th grade to undergraduates, to position India as a global leader in geospatial technology through skill development and innovation., December 2023: In collaboration with Bayanat, the UAE Space Agency revealed the initiation of the operational phase of the Geospatial Analytics Platform during its participation in organizing the Space at COP28 initiatives., November 2023: USAID unveiled its inaugural Geospatial Strategy, designed to harness geospatial data and technology for more targeted international program delivery. The strategy foresees a future where geographic methods enhance the effectiveness of USAID's efforts by pinpointing development needs, monitoring program implementation, and evaluating outcomes based on location., May 2023: TomTom International BV, a geolocation technology specialist, expanded its partnership with Alteryx, Inc. Through this partnership, Alteryx will use TomTom’s Maps APIs and location data to integrate spatial data into Alteryx’s products and location insights packages, such as Alteryx Designer., May 2023: Oracle Corporation announced the launch of Oracle Spatial Studio 23.1, available in the Oracle Cloud Infrastructure (OCI) marketplace and for on-premises deployment. Users can browse, explore, and analyze geographic data stored in and managed by Oracle using a no-code mapping tool., May 2023: CAPE Analytics, a property intelligence company, announced an enhanced insurance offering by leveraging Google geospatial data. Google’s geospatial data can help CAPE create appropriate solutions for insurance carriers., February 2023: HERE Global B.V. announced a collaboration with Cognizant, an information technology, services, and consulting company, to offer digital customer experience using location data. In this partnership, Cognizant will utilize the HERE location platform’s real-time traffic data, weather, and road attribute data to develop spatial intelligent solutions for its customers., July 2022: Athenium Analytics, a climate risk analytics company, launched a comprehensive tornado data set on the Esri ArcGIS Marketplace. This offering, which included the last 25 years of tornado insights from Athenium Analytics, would extend its Bronze partner relationship with Esri. . Key drivers for this market are: Advancements in Technologies to Fuel Market Growth. Potential restraints include: Lack of Standardization Coupled with Shortage of Skilled Workforce to Limit Market Growth. Notable trends are: Rise of Web-based GIS Platforms Will Transform Market.

The Multi-Touch Marketing Attribution (MTA) software market is booming, projected to reach [Insert Projected 2033 Value based on chart data] by 2033, growing at a CAGR of 7.3%. Discover key trends, leading companies (HubSpot, Adobe, etc.), and market analysis in this in-depth report. Learn how AI and ML are transforming MTA and driving ROI optimization.

This dataset displays the number of page views each day in 2017 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.

LinkedIn Job Postings Data - Comprehensive Professional Intelligence for HR Strategy & Market Research

LinkedIn Job Postings Data represents the most comprehensive professional intelligence dataset available, delivering structured insights across millions of LinkedIn job postings, LinkedIn job listings, and LinkedIn career opportunities. Canaria's enriched LinkedIn Job Postings Data transforms raw LinkedIn job market information into actionable business intelligence—normalized, deduplicated, and enhanced with AI-powered enrichment for deep workforce analytics, talent acquisition, and market research.

This premium LinkedIn job postings dataset is engineered to help HR professionals, recruiters, analysts, and business strategists answer mission-critical questions: • What LinkedIn job opportunities are available in target companies? • Which skills are trending in LinkedIn job postings across specific industries? • How are companies advertising their LinkedIn career opportunities? • What are the salary expectations across different LinkedIn job listings and regions?

With real-time updates and comprehensive LinkedIn job posting enrichment, our data provides unparalleled visibility into LinkedIn job market trends, hiring patterns, and workforce dynamics.

Use Cases: What This LinkedIn Job Postings Data Solves

Our dataset transforms LinkedIn job advertisements, market information, and career listings into structured, analyzable insights—powering everything from talent acquisition to competitive intelligence and job market research.

Talent Acquisition & LinkedIn Recruiting Intelligence • LinkedIn job market mapping • LinkedIn career opportunity intelligence • LinkedIn job posting competitive analysis • LinkedIn job skills gap identification

HR Strategy & Workforce Analytics • Organizational network analysis • Employee mobility tracking • Compensation benchmarking • Diversity & inclusion analytics • Workforce planning intelligence • Skills evolution monitoring

Market Research & Competitive Intelligence • Company growth analysis • Industry trend identification • Competitive talent mapping • Market entry intelligence • Partnership & business development • Investment due diligence

LinkedIn Job Market Research & Economic Analysis • Regional LinkedIn job analysis • LinkedIn job skills demand forecasting • LinkedIn job economic impact assessment • LinkedIn job education-industry alignment • LinkedIn remote job trend analysis • LinkedIn career development ROI

What Makes This LinkedIn Job Postings Data Unique

AI-Enhanced LinkedIn Job Intelligence • LinkedIn job posting enrichment with advanced NLP • LinkedIn job seniority classification • LinkedIn job industry expertise mapping • LinkedIn job career progression modeling

Comprehensive LinkedIn Job Market Intelligence • Real-time LinkedIn job postings with salary, requirements, and company insights • LinkedIn recruiting activity tracking • LinkedIn job application analytics • LinkedIn job skills demand analysis • LinkedIn compensation intelligence

Company & Organizational Intelligence • Company growth indicators • Cultural & values intelligence • Competitive positioning

LinkedIn Job Data Quality & Normalization • Advanced LinkedIn job deduplication • LinkedIn job skills taxonomy standardization • LinkedIn job geographic normalization • LinkedIn job company matching • LinkedIn job education standardization

Who Uses Canaria's LinkedIn Data

HR & Talent Acquisition Teams • Optimize recruiting pipelines • Benchmark compensation • Identify talent pools • Develop data-driven hiring strategies

Market Research & Intelligence Analysts • Track industry trends • Build competitive intelligence models • Analyze workforce dynamics

HR Technology & Analytics Platforms • Power recruiting tools and analytics solutions • Fuel compensation engines and dashboards

Academic & Economic Researchers • Study labor market dynamics • Analyze career mobility trends • Research professional development

Government & Policy Organizations • Evaluate workforce development programs • Monitor skills gaps • Inform economic initiatives

Summary

Canaria's LinkedIn Job Postings Data delivers the most comprehensive LinkedIn job market intelligence available. It combines job posting insights, recruiting intelligence, and organizational data in one unified dataset. With AI-enhanced enrichment, real-time updates, and enterprise-grade data quality, it supports advanced HR analytics, talent acquisition, job market research, and competitive intelligence.

About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, Glassdoor salary analytics, and Google Maps location insights. We deliver clean, structured, and enriched datasets at scale using proprietary data scraping pipelines and advanced AI/LLM-based modeling, all backed by human validation. Our platform also includes Google Maps data, providing verified business location intelligen...

This file lists public websites and all calls made to external domains, when they concern Google analytics trackers, google maps, twitter pixels, facebook and other CDNs

Source: https://github.com/revolunet/trackscan

The India Geospatial Analytics Market is booming, projected to reach $1.38 billion by 2025, with a CAGR of 14.82%. Discover key drivers, trends, restraints, and leading companies shaping this dynamic sector. Explore market segmentation by type and end-user vertical. Recent developments include: January 2023: Eris India, a company providing Geographic Information System (GIS) software and solutions, announced that the company is developing a policy map to offer data to help states and policymakers in decision-making. The Policy Maps have been designed to provide meaningful insights into various government functions., July 2022: Google announced a new partnership in India with local authorities and organizations in order to provide customized features for the diverse needs of the people in the country. Also, Google is building helpful maps that provide more visual and accurate navigation.. Key drivers for this market are: Increasing Demand of Location Based Service, Growing Availability of Spatial Data. Potential restraints include: Increasing Demand of Location Based Service, Growing Availability of Spatial Data. Notable trends are: Increasing Demand of Location Based Service.