The Address Points from National Address Database dataset was compiled on June 30, 2025 by the US Department of Transportation. The National Address Database (NAD) is a spatial database containing address data, point location coordinates, jurisdictions, record-level metadata and other supporting data for addressable locations including structures, some sub-units within those structures, and landmarks as included in the aggregated datasets from providers included therein.
Download the complete MAC Address JSON database to integrate network data into your projects. Regularly updated and easy to use.
Geoscape G-NAF is the geocoded address database for Australian businesses and governments. It’s the trusted source of geocoded address data for Australia with over 50 million contributed addresses distilled into 15.4 million G-NAF addresses. It is built and maintained by Geoscape Australia using independently examined and validated government data.
From 22 August 2022, Geoscape Australia is making G-NAF available in an additional simplified table format. G-NAF Core makes accessing geocoded addresses easier by utilising less technical effort.
G-NAF Core will be updated on a quarterly basis along with G-NAF.
Further information about contributors to G-NAF is available here.
With more than 15 million Australian physical address record, G-NAF is one of the most ubiquitous and powerful spatial datasets. The records include geocodes, which are latitude and longitude map coordinates. G-NAF does not contain personal information or details relating to individuals.
Updated versions of G-NAF are published on a quarterly basis. Previous versions are available here
Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.
Changes in the May 2025 release
Nationally, the May 2025 update of G-NAF shows an overall increase of 47,194 addresses (0.30%). The total number of addresses in G-NAF now stands at 15,753,927 of which 14,909,770 or 94.64% are principal.
At some locations, there are unit-numbered addresses that appear to be duplicate addresses. Geoscape is working to identify these locations and include these addresses as separate addresses in G-NAF. To facilitate this process, some secondary addresses have had the word RETAIL added to their building names. In the first instance, this process is being progressively rolled out to identified locations, but it is expected that the requirement for this will become ongoing.
There is one new locality in G-NAF: Keswick Island, QLD.
The source data used for generating G-NAF STREET_LOCALITY_POINT data in New South Wales has an updated datum and changed from GDA94 to GDA2020. This has resulted in updates to the STREET_LOCALITY_POINT geometry for approximately 91,000 records, however, more than 95% of these have moved less than a metre.
Geoscape has moved product descriptions, guides and reports online to https://docs.geoscape.com.au.
Further information on G-NAF, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on G-NAF, including software solutions, consultancy and support.
Additional information: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.
Use of the G-NAF downloaded from data.gov.au is subject to the End User Licence Agreement (EULA)
The EULA terms are based on the Creative Commons Attribution 4.0 International license (CC BY 4.0). However, an important restriction relating to the use of the open G-NAF for the sending of mail has been added.
The open G-NAF data must not be used for the generation of an address or the compilation of an address for the sending of mail unless the user has verified that each address to be used for the sending of mail is capable of receiving mail by reference to a secondary source of information. Further information on this use restriction is available here.
End users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).
Users must also note the following attribution requirements:
Preferred attribution for the Licensed Material:
_G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the _Open Geo-coded National Address File (G-NAF) End User Licence Agreement.
Preferred attribution for Adapted Material:
Incorporates or developed using G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.
G-NAF is a complex and large dataset (approximately 5GB unpacked), consisting of multiple tables that will need to be joined prior to use. The dataset is primarily designed for application developers and large-scale spatial integration. Users are advised to read the technical documentation, including product change notices and the individual product descriptions before downloading and using the product. A quick reference guide on unpacking the G-NAF is also available.
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Free, daily updated MAC prefix and vendor CSV database. Download now for accurate device identification.
The Master Address Repository (MAR) Viewer is part of the District's location services documented in Addressing in DC. It makes locating addresses or place name as easy as possible by employing spell check and lists of street names or property aliases. Find the Ward a property falls in, or its police district, and more details.
https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/
NZ Addresses is the national authoritative dataset for physical addresses in New Zealand.
This dataset contains the street number, street name and suburb of an address, as well as a unique ID and Territorial Authority.
Refer to the NZ Addresses Data Dictionary for detailed metadata and information about this dataset.
Please note this dataset replaced NZ Street Address in January 2023.
Background
This dataset provides all allocated addresses as advised to Toitū Te Whenua LINZ by Territorial Authorities (TAs). Under the Local Government Act 1974 (section 319) it is the responsibility of the TAs to advise the Surveyor-General at Toitū Te Whenua LINZ of all allocated addresses in their district.
Address data is maintained by Toitū Te Whenua LINZ in the Address Information Management System (AIMS) and Comprehensive Address Data Store (CADS), which are centralised databases for the management of national addresses, including for electoral purposes. This dataset is updated weekly on the LINZ Data Service.
APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is the domain table for Address Points (designated by the Chief Data Officer (CDO) per Mayor’s Order 2017-115). Districtwide domain tables are database tables designated by the CDO to provide a standard source of values to be used across District information systems and data transformations, as defined by the Open Data Policy. The source table for thisis the DCGIS.AddressPtlayer.https://octo.dc.gov/page/district-columbia-data-policy
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This file contains a list of taxpayers who hold an active sales tax permit under Tax Code Chapter 151, Subchapter F. The file includes taxpayer and outlet information.
See https://comptroller.texas.gov/about/policies/privacy.php for more information on our agency’s privacy and security policies
Web App. Look up addresses in St. Louis County, Missouri. Query by address number, street name, parcel ID, parcel owner, etc. Link to Metadata.
The PAD (Property Address Directory) file contains additional geographic information at the tax lot level not found in the PLUTO files. This data includes alias addresses and Building Identification Numbers (BINs). It consists of two ASCII, comma delimited files: a tax lot file and an address file.
All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE.
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!
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Click on the title for more details and to download the file. (File Size - 372 MB).
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains the address points of the Grand-Duchy of Luxembourg. The dataset is structured according to the INSPIRE Annex I Theme - Addresses. The data has been derived from the Cadastral database. For every parcel, where an address is known, the address point is located on the entrance of the main building(s). The syntax of the addresses is compliant with the "CACLR" - database (https://www.services-publics.lu/caclr/index.action) These addresses are used for the geolocalisation in the Geoportal (http://map.geoportal.lu) They have been transposed into the INSPIRE data model and coordinate system. Description copied from catalog.inspire.geoportail.lu.
https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do
This is an OPEN API service that searches street name, street address, and postal code in English. Items to be output (data received by users): English address search Metropolitan/province list (English name of metropolitan city/province).
The zoning layer lookup aids the online zoning map to show zoning information by address and consolidates other important information such as Ward, ANC, SMD, Historic Districts, etc. in one reference dataset. The PREMISEADD field lists the address that is identified as the lot’s primary address for tax purposes. ADDRESS_OTHER contains a list of all other addresses on the lot, if any. Addresses may exist in a many-to-one relationship with property lots. ZONING is the primary field for zoning designation. ZONING_LABEL contains the zoning as well as any applicable IZ+ designation.
The new Oregon Address Geocoder is used to find the location coordinates for street addresses in the State of Oregon. This service is:Free PublicUpdated regularlyOutputs location coordinates in Oregon Lambert, feet (SRID 2992)Uses over 2 million address points and 288,000 streets for referenceIt is an ArcGIS multirole locator with two roles:Point Address - Generally more accurate results from rooftop location points. Includes a Subaddress if a unit number is located. Street Address - Less accurate results from an estimated distance along a street centerline address range if a Point Address was not found.Instructions for using the Geocoder via ArcGIS Pro, ArcGIS Online, and REST Services are below:ArcGIS ProWeb ServicesArcGIS Online
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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Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.
Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.
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Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.
Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.
Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.
Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.
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Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.
Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.
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Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.
Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.
Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.
Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.
Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.
Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.
Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.
Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.
Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data from European cities with results of test for quality addresses data algorithm (paper ISPS IJGI).Addresses data used on this paper are available on these websites:A) OpenAddresses: https://batch.openaddresses.io/dataB) OpenStreetMap: https://wiki.openstreetmap.org/wiki/Downloading_dataC) Google Places: https://developers.google.com/maps/documentation/places/web-service/overview?D) Bing: https://learn.microsoft.com/en-us/bingmaps/rest-services/locations/E) Here: https://developer.here.com/documentation/geocoding-search-api/*NOTES: Due to rights and property reasons, we can not distribute commercial and authoritative addresses data used on this study
The most accurate and up-to-date database for point addressing, with over 270 million precise point addresses in 70 countries.
Geocoding available in 196 countries, with high-precision mapping of display or navigable positions. Input a structured or free-form address to get results ranked by relevance or proximity.
Reverse Geocoding: Get a physical address from a set of geocoordinates. Use heading information to understand direction of movement, and get addresses, landmarks or area information around a position.
Search data: Search a rich database of ~120M POIs/places, that is updated daily, and interact with Places rich attributes covering information from name and category, to price range, contact and URLs.
Autosuggest: Get better suggestions with fewer strokes for places, addresses, chain queries or category queries, as well as provide search text matches with or without spatial filters.
The Address Points from National Address Database dataset was compiled on June 30, 2025 by the US Department of Transportation. The National Address Database (NAD) is a spatial database containing address data, point location coordinates, jurisdictions, record-level metadata and other supporting data for addressable locations including structures, some sub-units within those structures, and landmarks as included in the aggregated datasets from providers included therein.