When you build with TomTom Maps APIs and map data sets, you build with a partner that combines three decades of mapping experience with the speed and soul of a start-up. We’re proud of our roots, and we never stop looking ahead – working together with you to bring the best, freshest map data and tech to people all over the world. When change happens in the real world, our transactional mapmaking ecosystem allows us to detect, verify and deliver it to the map fast – ensuring your customers, drivers and users always enjoy the most up-to-date map data. That same speed and flexibility extends to how we help you build your mapping app: You’re in control of your map data, choosing what you want to include in your final product.

Vector Map API is a XYZ Vector Topographic Map Tile Service which enables application developers to retrieve vector topographic map tiles. With the Vector Map, the map presentation can be further customized by the developer using the Map Presentation Style file.

Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.

Key Features:

Unparalleled Data Variety: Apiscrapy offers a diverse range of address-related datasets, including Google Address Data and Google Location Data. Whether you seek B2B address data or detailed insights for various industries, we cover it all.

Integration with Google Address API: Seamlessly integrate our datasets with the powerful Google Address API. This collaboration ensures not just accessibility but a robust combination that amplifies the precision of your location-based insights.

Business Location Precision: Experience a new level of precision in business decision-making with our address data. Apiscrapy delivers accurate and up-to-date business locations, enhancing your strategic planning and expansion efforts.

Tailored B2B Marketing: Customize your B2B marketing strategies with precision using our detailed B2B address data. Target specific geographic areas, refine your approach, and maximize the impact of your marketing efforts.

Use Cases:

Location-Based Services: Companies use Google Address Data to provide location-based services such as navigation, local search, and location-aware advertisements.

Logistics and Transportation: Logistics companies utilize Google Address Data for route optimization, fleet management, and delivery tracking.

E-commerce: Online retailers integrate address autocomplete features powered by Google Address Data to simplify the checkout process and ensure accurate delivery addresses.

Real Estate: Real estate agents and property websites leverage Google Address Data to provide accurate property listings, neighborhood information, and proximity to amenities.

Urban Planning and Development: City planners and developers utilize Google Address Data to analyze population density, traffic patterns, and infrastructure needs for urban planning and development projects.

Market Analysis: Businesses use Google Address Data for market analysis, including identifying target demographics, analyzing competitor locations, and selecting optimal locations for new stores or offices.

Geographic Information Systems (GIS): GIS professionals use Google Address Data as a foundational layer for mapping and spatial analysis in fields such as environmental science, public health, and natural resource management.

Government Services: Government agencies utilize Google Address Data for census enumeration, voter registration, tax assessment, and planning public infrastructure projects.

Tourism and Hospitality: Travel agencies, hotels, and tourism websites incorporate Google Address Data to provide location-based recommendations, itinerary planning, and booking services for travelers.

Discover the difference with Apiscrapy – where accuracy meets diversity in address-related datasets, including Google Address Data, Google Address API, Google Location API, and more. Redefine your approach to location intelligence and make data-driven decisions with confidence. Revolutionize your business strategies today!

Vector Map Label API is a XYZ Vector Map Tile Service which enables application developers to retrieve vector map tiles with place name labels for overlaying onto the vector map.

All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: API access page For complete information, please visit https://data.gov.

To provide a more convenient service to all sectors, the TGOS MAP API Lite (Web) promotion version was launched in June 103, eliminating the need for any registration or application process, allowing immediate setup of a personal internet map and experience the convenience of rapid development. Easily create your own map platform and mark personalized point data on it, free for personal or business use.

OpenStreetMap (openstreetmap.org) is a global collaborative mapping project, which offers maps and map data released with an open license, encouraging free re-use and re-distribution. The data is created by a large community of volunteers who use a variety of simple on-the-ground surveying techniques, and wiki-syle editing tools to collaborate as they create the maps, in a process which is open to everyone. The project originated in London, and an active community of mappers and developers are based here. Mapping work in London is ongoing (and you can help!) but the coverage is already good enough for many uses.

Browse the map of London on OpenStreetMap.org

Downloads:

The whole of England updated daily:

• england.osm.bz2 ~185M - .osm formatted raw XML data (compressed)
• england.shp.zip ~156M - ESRI shapefiles

For more details of downloads available from OpenStreetMap, including downloading the whole planet, see 'planet.osm' on the wiki.

Data access APIs:

Download small areas of the map by bounding-box. For example this URL requests the data around Trafalgar Square:

http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969

Data filtered by "tag". For example this URL returns all elements in London tagged shop=supermarket:

http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70]

The .osm format

The format of the data is a raw XML represention of all the elements making up the map. OpenStreetMap is composed of interconnected "nodes" and "ways" (and sometimes "relations") each with a set of name=value pairs called "tags". These classify and describe properties of the elements, and ultimately influence how they get drawn on the map. To understand more about tags, and different ways of working with this data format refer to the following pages on the OpenStreetMap wiki.

• .osm - About the raw XML data format of OpenStreetMap
• Downloading data - More details of the API and extract download options
• Xapi - The extended api for filtering by tag
• Map Features - A list of tags, and what map features they represent
• Converting map data between formats - catalogue of tools for converting from .osm to other formats

Simple embedded maps

Rather than working with raw map data, you may prefer to embed maps from OpenStreetMap on your website with a simple bit of javascript. You can also present overlays of other data, in a manner very similar to working with google maps. In fact you can even use the google maps API to do this. See OSM on your own website for details and links to various javascript map libraries.

Help build the map!

The OpenStreetMap project aims to attract large numbers of contributors who all chip in a little bit to help build the map. Although the map editing tools take a little while to learn, they are designed to be as simple as possible, so that everyone can get involved. This project offers an exciting means of allowing local London communities to take ownership of their part of the map.

Read about how to Get Involved and see the London page for details of OpenStreetMap community events.

It is classified into map API, data API, and mobile SDK, and it is a service that provides data and map service of population, household, housing, and business owned by Statistics Korea so that other organizations and services can use it. ○ Map API: Provides API for map service provided by SGIS Open Platform ○ Data API: Provides API to use data on population, household, housing, business, etc. owned by Statistics Korea ○ Mobile SDK: Map based on Android and iOS SDK provided in native language to develop services

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API using Global Imagery Browse Services (GIBS) designed to deliver global, full-resolution satellite imagery to users in a highly responsive manner, enabling interactive exploration of the Earth.

The 2011 Bedrock Geologic Map of Vermont (1:100,000 scale) was created to integrate detailed (1:12,000- to 1:24,000-scale) modern mapping with the theory of plate tectonics to provide a framework for geologic, tectonic, economic, hydrogeologic, and environmental characterization of the bedrock of Vermont. It supersedes the 1961 bedrock geologic map which was produced at a scale of 1:250,000 (Doll and others, 1961).Please see the metadata and readme files at the publication website:https://pubs.usgs.gov/sim/3184/

V-World WebGL 3D map platform was developed based on WebGL and provided in JavaScript format. (IE 11 or higher supported) It maintains the functionality of WebGL 3D map API 1.0, is designed to be user-friendly, improves usability, and complies with GIS standards. Lowered the barrier to entry for other API users. WebGL 3D Map API 2.0 can be used only when an authentication key is issued. The authentication key can be issued by registering as a member of V World and going to [Open API > Authentication Key > Issuance of Authentication Key]. For more detailed information, please refer to the reference and usage instructions through the link information.

LandsD Imagery Map API

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.

[ Related tags: Map Data, Google Map Data, Google Map Data Scraper, B2B Marketing, Location Data, Map Data, Google Data, Location Data, Address Data, Business location data, map scraping data, Google map data extraction, Transport and Logistic Data, Mobile Location Data, Mobility Data, and IP Address Data, business listings APIs, map data, map datasets, map APIs, poi dataset, GPS, Location Intelligence, Retail Site Selection, Sentiment Analysis, Marketing Data Enrichment, Point of Interest (POI) Mapping]

This archive reproduces a figure titled "Figure 3.2 Boone County population distribution" from Wang and vom Hofe (2007, p.60). The archive provides a Jupyter Notebook that uses Python and can be run in Google Colaboratory. The workflow uses the Census API to retrieve data, reproduce the figure, and ensure reproducibility for anyone accessing this archive.The Python code was developed in Google Colaboratory, or Google Colab for short, which is an Integrated Development Environment (IDE) of JupyterLab and streamlines package installation, code collaboration, and management. The Census API is used to obtain population counts from the 2000 Decennial Census (Summary File 1, 100% data). Shapefiles are downloaded from the TIGER/Line FTP Server. All downloaded data are maintained in the notebook's temporary working directory while in use. The data and shapefiles are stored separately with this archive. The final map is also stored as an HTML file.The notebook features extensive explanations, comments, code snippets, and code output. The notebook can be viewed in a PDF format or downloaded and opened in Google Colab. References to external resources are also provided for the various functional components. The notebook features code that performs the following functions:install/import necessary Python packagesdownload the Census Tract shapefile from the TIGER/Line FTP Serverdownload Census data via CensusAPI manipulate Census tabular data merge Census data with TIGER/Line shapefileapply a coordinate reference systemcalculate land area and population densitymap and export the map to HTMLexport the map to ESRI shapefileexport the table to CSVThe notebook can be modified to perform the same operations for any county in the United States by changing the State and County FIPS code parameters for the TIGER/Line shapefile and Census API downloads. The notebook can be adapted for use in other environments (i.e., Jupyter Notebook) as well as reading and writing files to a local or shared drive, or cloud drive (i.e., Google Drive).

Cuando construyes utilizando las APIs de Mapas de TomTom y sus conjuntos de datos de mapas, estás construyendo con un socio que combina tres décadas de experiencia en cartografía con la velocidad y el espíritu de una startup. Estamos orgullosos de nuestras raíces, y nunca dejamos de mirar hacia adelante, trabajando juntos contigo para llevar los mejores y más recientes datos de mapas y tecnología a personas de todo el mundo. Cuando ocurre un cambio en el mundo real, nuestro ecosistema de creación de mapas transaccionales nos permite detectarlo, verificarlo y entregarlo al mapa rápidamente, asegurando que tus clientes, conductores y usuarios siempre disfruten de los datos de mapas más actualizados. Esa misma velocidad y flexibilidad se extiende a cómo te ayudamos a construir tu aplicación de mapas: Tú tienes el control de tus datos de mapas, eligiendo qué quieres incluir en tu producto final.

This layer of the GeoIndex shows the location of available 1:50000 scale digital geological maps within Great Britain. The Digital Geological Map of Great Britain project (DiGMapGB) has prepared 1:625 000, 1:250 000 and 1:50 000 scale datasets for England, Wales and Scotland. The datasets themselves are available as vector data in a variety of formats in which they are structured into themes primarily for use in geographical information systems (GIS) where they can be integrated with other types of spatial data for analysis and problem solving in many earth-science-related issues. Most of the 1:50 000 scale geological maps for England & Wales and for Scotland are now available digitally as part of the DiGMapGB-50 dataset. It integrates geological information from a variety of sources. These include recent digital maps, older 'paper only' maps, and desk compilations for sheets with no published maps.

LandsD Map Label API

The custom digital map service market is experiencing robust growth, driven by the increasing demand for location-based services across diverse sectors. The market, estimated at $8 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a compound annual growth rate (CAGR) of approximately 15%. This expansion is largely attributed to several key drivers. Firstly, the automotive industry's reliance on advanced navigation and driver-assistance systems is a major catalyst. Secondly, the burgeoning location services sector, encompassing ride-sharing, delivery services, and location-based advertising, fuels considerable demand for customized map solutions. Further propelling growth is the rise of business analytics, where customized maps provide invaluable insights into spatial data, optimizing logistics, resource management, and market analysis. Finally, the ongoing development of real-time map data technologies, offering dynamic updates and high accuracy, significantly enhances the value proposition of these services. While data security and privacy concerns pose some challenges, the overall market outlook remains positive. The market segmentation reveals a strong emphasis on custom map solutions, reflecting a growing need for tailored cartographic representations catering to specific business requirements. Real-time map data is another key segment, capitalizing on the demand for dynamic and up-to-date location information. Geographic distribution shows North America and Europe as leading markets, with significant growth potential in the Asia-Pacific region, particularly in rapidly developing economies like China and India. Key players in the market, including Google, TomTom, Mapbox, and others, are actively investing in research and development, pushing technological boundaries and expanding their service portfolios to maintain a competitive edge. The ongoing evolution of map technologies, including improvements in data accuracy, integration with AI/ML, and expanding functionalities like 3D mapping and augmented reality overlays, will further shape the market landscape in the coming years.

This API method is specifically designed for map integration. It retrieves all planning applications within a specified map tile that match the request parameters. The tile is defined using standard z, x and y parameters, with an extent of 4096 as defined by the Mapbox Vector Tile specification.

For each planning application, the response includes basic information such as the application id and key attributes. This allows for efficient filtering and display on a map. For detailed information, this method is intended to be used in conjunction with the Planning Application by id method, which returns rich data based on the application id.

The type and status fields return normalised values, processed using our internal algorithms to ensure consistency and clarity across all datasets.

Integration examples

• Leaflet with JSON format integration
• Open Layers with MVT format integration