Techsalerator covers all POI's (Point of Interest) of businesses in United Kingdom. Through our diligent local sourcing, we are able to provide location of businesses in United Kingdom.

This include: address/Zip Code/ County / State/ Country + Lat/Long.

Companies utilize our POI's to enhance their publishing universe, do geo-mapping and to create identity graphs.

Our European Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and EU scaled POI data featuring over 2.3 million verified locations across the UK. We have been providing this data to companies worldwide for 30 years.

• Develop mapping and navigation tools and software.
• Identify new areas and locations suitable for business development.
• Analyze the presence of competitors and nearby populations.
• Optimize routes to enhance delivery efficiency.
• Evaluate property values based on nearby infrastructure.
• Support disaster management by identifying high-risk areas.
• Promote your products and services using geotargeting strategies.

Our data and custom-built software allow easy integration with any application, tool, or software.

Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

Get the complete list of Automobile Dealers locations in the USA . Locationscloud allows third-party location data providers for selling their data using our marketplace. All the datasets have the following data like geo-coded address, email, phone number, or open hours, accessible for immediate downloads.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• amenity
• man_made
• shop
• tourism
• opening_hours
• beds
• rooms
• addr:full
• addr:housenumber
• addr:street
• addr:city
• source

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Our Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and globally scaled POI data featuring over 164 million verified locations across 220 countries. We have been providing this data to companies worldwide for 30 years.

• Develop mapping and navigation tools and software.
• Identify new areas and locations suitable for business development.
• Analyze the presence of competitors and nearby populations.
• Optimize routes to enhance delivery efficiency.
• Evaluate property values based on nearby infrastructure.
• Support disaster management by identifying high-risk areas.
• Promote your products and services using geotargeting strategies.

Our data and custom-built software allow easy integration with any application, tool, or software.

Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

This is a collection of datasets and source code used for a crime prediction study based on POI locations.
[1] Crime data from data.police.uk for the following UK police forces:
-- Greater Manchester Police,
-- Merseyside Police,
-- Dorset Police,
-- West Yorkshire Police.
Time span: October 2016--September 2019.
License: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
Format: CVS (zipped).
Files:
GreaterManchesterPolice.zip
MerseysidePolice.zip
Dorset Police.zip
West Yorkshire Police.zip

[2] Data extracts from OpenStreetMap made available by Geofabrik.de for
the following UK counties:
-- Greater Manchester,
-- Merseyside,
-- Dorset,
-- West Yorkshire.
Data layers: pois, pois_a, transport, transport_a.
Downloaded on: November 14, 2019.
License: Open Database License 1.0.
Format: shapefile (zipped).
Files:
greater-manchester-latest-free.shp.zip
merseyside-latest-free.shp.zip
dorset-latest-free.shp.zip
west-yorkshire-latest-free.shp.zip

[3] UK administrative boundary data from ordnancesurvey.co.uk.
Downloaded on: September 23, 2019.
License: Open Government License.
Note: Contains OS data © Crown copyright and database right 2018
Format: shapefile (zipped)
File: district_borough_unitary_region.shp.zip

[4] Administrative boundary data for the following UK urban areas:
-- Manchester (Manchester District),
-- Liverpool (Liverpool District),
-- Bournemouth (Bournemouth, Christchurch and Poole District),
-- Wakefield (Wakefield District).
Obtained by extracting the corresponding districts from dataset [3] listed above.
Format: RDS.
File: adm-man-liv-bou-wak.RDS.

[5] Crime data aggregated to 300x300m grid for the following UK urban areas:
-- Manchester (Manchester District),
-- Liverpool (Liverpool District),
-- Bournemouth (Bournemouth, Christchurch and Poole District),
-- Wakefield (Wakefield District).
Obtained by geographical aggregation of crime data [1] listed above, limited to the corresponding district boundaries from [3].
Format: RDS.
File: crime-grid-man-liv-bou-wak.RDS.

[6] POI data aggregated to 300x300m grid for the following UK urban areas:
-- Manchester (Manchester District),
-- Liverpool (Liverpool District),
-- Wakefield (Wakefield District),
-- Bournemouth (Bournemouth, Christchurch and Poole District).
Obtained by geographical aggregation of POI data [2] listed above, limited to the corresponding district boundaries from [3].
Format: RDS.
File: poi-grid-man-liv-bou-wak.RDS.

[7] R functions for data preparation.File: crime-poi-functions-data.R.
[8] R functions for model creation and evaluation.File: crime-poi-functions-model.R.
[9] R script for data preparation.File: crime-poi-data.R.
[10] R script for model creation and evaluation.File: crime-poi-model.R.
The code assumes that:-- source code files are placed in the current working directory,-- original unprocessed data files [1-3] are placed in the data subdirectory of the current working directory,
-- the RDS subdirectory exists in the current working directory (this is where RDS files are saved),
-- the Plots subdirectory exists in the current working directory (this is where plot files are saved).
The provided RDS files [4-6] may be optionally placed in the RDS subdirectory to avoid repeating the time-consuming data preparation process -- they will be used if available or re-created from the original data otherwise (but the latter may take several hours).

Complete list of all 626 Harvester POI locations in the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

Complete list of all 34 Dunnes Stores POI locations in the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

Our Building Footprint dataset enables hyper-accurate geospatial analysis by mapping real-world places — from stores to landmarks — with precise polygon geometries.

Powered by satellite imagery, machine learning, and human validation, this dataset allows businesses to attribute visits to exact locations and conduct granular area analysis with minimal margin of error.

Key data points include: - POI-linked polygons - Location name, category, and coordinates - Boundary shapes for offices, shops, amenities, etc. - Regular monthly or quarterly updates - Ready for geospatial analysis tools

Ideal for foot traffic attribution, site planning, and growth opportunity discovery, this dataset covers thousands of commercial zones with industry-grade precision.

Supercharge Grocery Retail Strategies: 49,000+ locations of supermarkets, grocery stores, convenience stores, and more

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• amenity
• man_made
• shop
• tourism
• opening_hours
• beds
• rooms
• addr:full
• addr:housenumber
• addr:street
• addr:city
• source
• name:uk

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Complete list of all 765 Best-one store POI locations in the the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

Complete list of all 149 Keystore POI locations in the the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

Complete list of all 128 Zizzi POI locations in the the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

Thanks to our expertise, Echo’s Building Footprint datasets have been built to ensure ongoing accuracy & precision.

We use satellite imagery, machine learning & human verification, to define the most precise boundaries of any location (stores, landmarks, amenities, offices, etc.) and build polygon-based geofences around 25.7M+ locations in Europe & USA

By doing so, it is possible to identify the precise footprints so companies can benefit from an accurate spatial analysis of countries, cities, or even local neighbourhoods.

With Echo's Building Footprint data it is possible to: - Build location-based strategies fast - Increase the accuracy of Foot Traffic data - Pinpoint locations for highly precise Mapping - Improve Site Selection processes

Clients using this dataset are commonly from: - Commercial Real Estate & PropTech - Retail - Investment Banking

Complete list of all 1323 Starbucks store POI locations in the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

Combined model performance.

Complete list of all 339 Three store POI locations in the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

Database of nearest resilience infrastructure from each Scottish postcode, commissioned and funded by the National Centre for Resilience.

Data are in geopackage format, which is curated by the open geospatial consortium. The data format can be read by GDAL, and hence all major analytical and spatial software (e.g. R, Python, QGIS). The database has two main tables:

• datazones - a spatial table of boundary polygons. Available from data.gov.uk under the open government licence.
• postcode_to_POI - a table of postcode to POI type distances with lookups for a range of administrative boundaries.

An example query (in R) is shown in 10.5281/zenodo.3386179 to access data in the geopackage.

The database was built using the following datasets:

• Ordnance Survey Open Roads
• Ordnance Survey Code-Point Open
• Ordnance Survey Points of Interest

The following copyright licences apply to this dataset:

© Crown Copyright and Database Right 2019. Ordnance Survey (Digimap Licence).
This material includes data licensed from PointX Database Right/Copyright 2019.
Contains NRS data © Crown copyright and database right 2019.

Complete list of all 952 Papa Johns store POI locations in the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.