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Location Intelligence Data Scraping

Diya Infotech’s Location Intelligence solutions help businesses analyze geographic data to uncover location-based insights. By combining spatial data with market, demographic, and behavioral information, we enable smarter decisions around expansion, pricing, marketing, and operations.

  • Analyze location-based demand and performance
  • Identify high-potential regions and micro-markets
  • Support territory planning and expansion decisions
  • Improve targeting with geo-level insights
  • Deliver structured, map-ready datasets
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What Is Location Intelligence?

Location Intelligence uses geographic data to analyze how location influences customer behavior, market demand, competition, and business performance.

By combining location data with demographic, commercial, and behavioral information, Location Intelligence helps businesses uncover patterns and trends across regions. These insights support smarter decisions related to site selection, market expansion, and regional performance evaluation.

Location Intelligence transforms raw spatial data into actionable insights through mapping, analysis, and visualization. Businesses use it to identify growth opportunities, reduce operational risks, and optimize strategies based on accurate, location-driven intelligence.

WHY CHOOSE US

What Sets Us Apart

Accuracy

Delivers clean, reliable data you can trust every time.

Scalability

Handles any data volume smoothly without slowdown.

Global Reach

Captures insights from markets across the world.

Real-Time APIs

Provides instant, up-to-date data on demand.

Compliance First

Ensures all data practices meet global standards.

Dedicated Support

Project-based dedicated support 24*7.

Location Intelligence Capabilities

Geo-Data Collection

Collect location-based data from multiple digital sources, including websites, maps, and public datasets, to build a reliable geographic foundation.

Spatial Data Mapping

Convert raw location data into structured, map-ready formats for accurate geographic visualization and analysis.

Regional Demand Analysis

Identify demand patterns and customer behavior across cities, regions, and neighborhoods.

Competitor Location Tracking

Analyze competitor presence and density to understand market saturation and positioning by location.

Territory & Area Insights

Support territory planning and expansion strategies with clear geographic performance insights.

Location-Based Data Delivery

Deliver clean, standardized location datasets via APIs, dashboards, or downloadable formats for seamless integration.

Advantages of Location Intelligence Services

01

Smarter Site Selection

Identify high-potential locations for expansion by analyzing demand, competition, and regional performance.

02

Improved Market Targeting

Use location-based insights to target customers more effectively across regions, cities, and neighborhoods.

03

Better Regional Planning

Support territory planning and resource allocation with accurate geographic data.

04

Enhanced Competitive Insights

Understand competitor distribution and market saturation at a location level.

05

Reduced Business Risk

Minimize expansion and investment risks with data-backed location analysis.

06

Data-Driven Decisions

Make confident strategic decisions using reliable, location-based intelligence.

Use Cases for Location Intelligence Services

Site Selection

Identify high-potential locations for stores, warehouses, or offices using data-driven location insights.

  • Analyze footfall, demand, and demographics
  • Evaluate competitor proximity and density
  • Reduce expansion and investment risks
  • Improve long-term location performance

Market Expansion

Discover profitable regions and cities for geographic business expansion using location-based intelligence.

  • Identify underserved and high-growth areas
  • Compare regional demand patterns
  • Prioritize expansion markets
  • Support data-backed growth planning

Territory Planning

Optimize sales and service territories using geographic performance and coverage analysis.

  • Balance territories by demand and potential
  • Improve sales coverage efficiency
  • Identify underperforming regions
  • Enhance resource allocation decisions

Demand Mapping

Understand customer demand variations across regions, cities, and neighborhoods.

  • Detect high-demand micro-markets
  • Analyze regional buying behavior
  • Support localized marketing strategies
  • Improve demand forecasting accuracy

Competitor Mapping

Analyze competitor locations to understand market saturation and competitive intensity.

  • Map competitor store and outlet presence
  • Identify white-space opportunities
  • Monitor regional competition levels
  • Strengthen market positioning

Popular Brands Data Extraction

Ecommerce
  • Amazon
  • Lazada
  • eBay
  • Shopee
  • AliExpress
  • Costco
  • Lowes
  • Target
  • Walmart
  • Sears
Travel
  • GoogleTrips
  • Agoda
  • TripAdvisor
  • Kayak
  • Trivago
  • Priceline
  • Expedia
  • TripIt
  • MakeMyTrip
  • Hopper
Grocery
  • Instacart
  • Safeway
  • BigBasket
  • Ocado
  • Costco
  • Amazon
  • Kroger
  • GoPuff
  • Instashop
  • Walmart
Food Delivery
  • Doordash
  • Swiggy
  • Deliveroo
  • Wolt
  • Uber Eats
  • Glovo
  • Zomato
  • Foodpanda
  • Justeat
  • Grubhub
OTT Platforms
  • Netflix
  • Hotstar
  • Disney+
  • Hulu
  • Apple Tv
  • Amazon Prime
  • Sky
  • Pluto Tv
  • Dazn
  • Discovery
Social Media
  • LinkedIn
  • FB/Insta
  • YouTube
  • TikTok
  • WeChat
  • X/Twitter
  • Reddit
  • Snapchat
  • Pinterest
  • Quora
Hotel
  • Airbnb
  • Booking.com
  • Ctrip
  • MakeMyTrip
  • Trivago
  • TripAdvisor
  • Expedia
  • Agoda
  • Priceline
  • Google Travel
Recruitment
  • Amazon Jobs
  • Indeed
  • Usajobs
  • Glassdoor
  • Ziprecrutier
  • Monster
  • Dice
  • Roberthalf
  • Snagajob
  • Simplyhired
Dating
  • Tinder
  • Salt
  • Her
  • Eharmony
  • Badoo
  • Bumble
  • Okcupid
  • Hinge
  • SilverSingles
  • Match.com
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Frequently Asked Questions

What is Location Intelligence?

Location Intelligence is the process of analyzing geographic data to understand how location impacts customer behavior, market demand, competition, and business performance.

How does Location Intelligence help businesses?

It helps businesses make data-driven decisions for site selection, market expansion, pricing strategies, territory planning, and regional performance optimization.

What type of data is used in Location Intelligence?

Location Intelligence uses geographic data, demographic information, points of interest, competitor locations, mobility data, and regional market indicators.

Which industries benefit most from Location Intelligence?

Retail, real estate, logistics, eCommerce, FMCG, banking, travel, and hospitality industries commonly use location intelligence for strategic planning.

Is Location Intelligence useful for small and large businesses?

Yes. Location Intelligence scales for both small businesses evaluating local markets and enterprises managing multi-region operations.

How is Location Intelligence data delivered?

Data can be delivered through APIs, dashboards, interactive maps, or downloadable formats such as CSV, Excel, or GIS-compatible files.

Can Location Intelligence support real-time analysis?

Yes. Real-time or near-real-time location data can be used to track demand shifts, competitor activity, and regional performance changes.

Is Location Intelligence data compliant and secure?

Yes. Data collection and processing follow ethical practices, data protection standards, and applicable regulatory requirements.

WHAT WE OFFER

Our Other Services

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    What's Next ?

    You have made the right choice by connecting with us for your data extraction requirements. The below process how to get started.

    1

    Requirement Gathering

    We work closely with clients to ascertain business goals, technical requirements, systems that meet business standards. We then use this information to make the precise scope for effective data solutions.

    2

    Technical Document Preparation & Quote

    We prepare a full technical document outlining deliverables, between which times, what technologies are needed. Sending this to clients for review offers peace of mind and helps assure good results.

    3

    SLAs and Agreement

    We outline the scope, deliverables and system standards on the project. This helps align expectations and ensure that the partnership drives data outcomes.

    4

    Project Starts

    Our team defines milestones and workflows. We use clear language to ensure that implementation runs smoothly and deliverables are completed on time as expected.