{"title":"DHL Parcel Locker Location Datasets | DataLocatr","description":"\u003ch1\u003e\u003cspan\u003eDHL Parcel Locker Location Datasets\u003c\/span\u003e\u003c\/h1\u003e\n\u003cp\u003e\u003cspan\u003eDownload structured DHL parcel locker location datasets for geographic research, GIS mapping, logistics planning and commercial data analysis. DataLocatr provides country-specific datasets containing detailed location records for DHL-related parcel locker networks in the Netherlands, Belgium and Germany.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThese downloadable datasets are designed for professionals who need more than a list of parcel collection points. Access geographic coordinates, street addresses, postal codes, location identifiers, opening hours and parcel service attributes, depending on the selected dataset.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAvailable in CSV and JSON formats, our DHL location data can be integrated into GIS software, spreadsheets, Python workflows, databases and custom applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eExplore DHL parcel locker datasets by country and choose the location data that fits your project.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eAvailable DHL Location Datasets by Country\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eDataLocatr offers DHL-related parcel locker location data for different European markets. Explore the available country datasets and review their specifications before downloading.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eDHL Parcel Locker Locations — Netherlands\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eExplore geographic location records for DHL-related parcel lockers in the Netherlands. The dataset structure includes location names, addresses, postal codes, latitude and longitude, opening hours and available parcel service attributes.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUse the data for mapping, location research, delivery network analysis and geographic data integration.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eDHL Parcel Locker Locations — Belgium\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eAccess a structured dataset of DHL-related parcel locker locations in Belgium. The current dataset metadata reports 2,908 records, with geographic coordinates, address details, location identifiers and service-related attributes.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eImport the records into your preferred data environment to examine the geographic distribution of locations and combine them with other spatial datasets.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eDHL Packstation Locations — Germany\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eExplore DHL Packstation location data for Germany. Depending on the selected dataset, records include geographic coordinates, addresses, location identifiers, opening hours, parcel capacity attributes and service types.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eUse the data for geographic mapping, network coverage research, location comparisons and logistics-related analysis.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eRecord counts, available fields and geographic coverage vary by country. Consult each product page for the current dataset specifications, collection date and download options.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eWhat's Included in the DHL Parcel Locker Datasets?\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eOur DHL-related datasets provide structured location information for practical data workflows. Available fields vary by country and source.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eGeographic coordinates:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Latitude and longitude for plotting locations on maps and conducting spatial analysis.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eAddress information:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Street, house number, city and postal code for geographic reference and data enrichment.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eLocation identifiers:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e DataLocatr IDs and carrier-specific DHL IDs where available.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eOpening hours:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Individual opening-hour fields for Monday through Sunday, where supplied by the source.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eParcel service types:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Attributes identifying supported parcel services, such as first-mile and last-mile services, where available.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eCapacity information:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Parcel capacity attributes where provided and documented in the dataset.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eLocation names and classifications:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Names and available location keywords to help identify and distinguish records.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eGoogle Maps references:\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e Links for checking individual locations using their coordinates.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003eThe precise field list is provided on each product page. This helps you select a dataset that matches your analytical requirements before purchasing.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eWhat Can You Do With DHL Location Data?\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch3\u003e\u003cspan\u003eGIS Mapping and Spatial Research\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eImport DHL parcel locker coordinates into QGIS, ArcGIS or other compatible GIS environments. Visualise geographic distribution, compare locations with population data and investigate spatial coverage across cities, regions and postal code areas.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eCombining parcel locker coordinates with other geographic datasets can support accessibility studies, urban planning research and spatial modelling.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eLogistics and Delivery Network Analysis\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eUse location records to investigate the geographic distribution of parcel collection infrastructure. Compare service locations, examine proximity to transport networks and identify areas that may require further research for delivery network planning.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLocation data provides an analytical input; operational decisions should also consider demand, parcel volumes, service constraints and other relevant factors.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eRetail and Real Estate Location Planning\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eExplore the relationship between DHL-related parcel lockers, retail areas and surrounding infrastructure. Geographic data can help analysts investigate location patterns, compare service coverage and evaluate potential sites for further assessment.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eAcademic Research and Urban Planning\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eUse structured parcel locker records in studies of last-mile delivery, out-of-home parcel collection, urban accessibility and the geography of logistics infrastructure.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe datasets can be combined with independent demographic, transport and land-use information to support reproducible research workflows.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eData Analytics and Application Development\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e\u003cspan\u003eWork with downloadable CSV and JSON files in Excel, Python, databases, BI platforms and custom software. Integrate location records into data pipelines, geographic dashboards and applications that rely on structured point-of-interest data.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eCSV and JSON Downloads for Data Workflows\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eDataLocatr supplies DHL-related location datasets in two common machine-readable formats.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eCSV files\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e are suitable for spreadsheets, tabular analysis, database imports and GIS tools that support delimited text files.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eJSON files\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e are suitable for programmatic processing, Python scripts, data integrations and applications that consume structured records.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eBefore importing a file, check the documented delimiter, character encoding and coordinate format. For GIS work, ensure latitude and longitude are interpreted as numeric values and assigned to the correct coordinate reference system.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eGeographic Coverage, Collection Dates and Data Quality\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eEach dataset has its own geographic scope, record count and collection date. Review the individual product specifications to understand what is included and how current the data is.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eDataLocatr's dataset documentation should identify the collection date, available fields, file formats and any relevant data limitations. Where quality checks are performed, their scope should be described clearly so that users understand what has been validated.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eParcel locker networks and partner locations can change over time. A collection date does not guarantee that every location remains operational or that all opening hours and services are unchanged. For operational or time-sensitive decisions, verify critical details against current operator information.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003eChoose Your DHL Parcel Locker Dataset\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eWhether you are a researcher studying delivery infrastructure, a GIS analyst mapping geographic coverage, a consultant evaluating locations or a developer building a data-driven application, DataLocatr provides structured DHL-related location data for your workflow.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eCompare the available datasets for the Netherlands, Belgium and Germany. Review the record counts, field specifications and download formats to find the right dataset for your project.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eBrowse the available DHL location datasets and download a free sample where offered.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e","products":[{"product_id":"netherlands-parcel-locker-locations-dataset-csv-json","title":"Netherlands Parcel Locker Locations Dataset – CSV \u0026 JSON","description":"\u003cp\u003eDownload structured parcel locker location data for the Netherlands, ready for mapping, geographic analysis and logistics projects.\u003c\/p\u003e\n\u003cp\u003eThis dataset contains locations of DHL Packstations in the Netherlands, with geographic coordinates, address information, opening hours and available service details. Use the data to build maps, study parcel locker coverage, support location-based research or integrate parcel locker locations into your own applications.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailable formats:\u003c\/strong\u003e CSV and JSON\u003cbr\u003e\u003cstrong\u003eGeographic coverage:\u003c\/strong\u003e Netherlands\u003cbr\u003e\u003cstrong\u003eDelivery:\u003c\/strong\u003e Digital download\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGet the full dataset\u003c\/strong\u003e and start working with parcel locker location data in your own tools and workflows.\u003c\/p\u003e\n\u003ch2\u003eWhat's Included in the Dataset?\u003c\/h2\u003e\n\u003cp\u003eThe dataset is structured to make parcel locker locations easier to filter, map and integrate into other systems.\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eData field\u003c\/th\u003e\n\u003cth\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLocation ID\u003c\/td\u003e\n\u003ctd\u003eIdentifier associated with the location\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eName\u003c\/td\u003e\n\u003ctd\u003eParcel locker or location name\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStreet and house number\u003c\/td\u003e\n\u003ctd\u003eStreet address information\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCity and postal code\u003c\/td\u003e\n\u003ctd\u003eLocality and postcode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLatitude and longitude\u003c\/td\u003e\n\u003ctd\u003eGeographic coordinates for mapping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpening hours\u003c\/td\u003e\n\u003ctd\u003eAvailable opening hours for each day of the week\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eService types\u003c\/td\u003e\n\u003ctd\u003eService information supplied for the location\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAllowed parcels\u003c\/td\u003e\n\u003ctd\u003eAvailable parcel-related limit information, where provided\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepot code\u003c\/td\u003e\n\u003ctd\u003eDepot reference, where available\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Maps link\u003c\/td\u003e\n\u003ctd\u003eLink to view the location on a map\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eField availability depends on the source record. Consult the included data and metadata for the actual coverage of each field.\u003c\/p\u003e\n\u003ch2\u003eBuilt for Mapping, GIS and Location-Based Projects\u003c\/h2\u003e\n\u003cp\u003eParcel locker coordinates can be used in a range of geographic and commercial applications.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eGIS mapping:\u003c\/strong\u003e Display parcel locker locations in QGIS, ArcGIS or other mapping tools.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLogistics planning:\u003c\/strong\u003e Explore the geographic distribution of parcel lockers and compare locations with other spatial datasets.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCoverage analysis:\u003c\/strong\u003e Investigate where parcel lockers are concentrated and where potential geographic gaps may exist.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAccessibility research:\u003c\/strong\u003e Combine locker coordinates with population, demographic or transport data to investigate proximity and access.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eData visualisation:\u003c\/strong\u003e Build interactive maps, dashboards and location-based reports.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eApplication development:\u003c\/strong\u003e Use structured location records as an input for custom maps, prototypes and data workflows.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe dataset provides location records for your own analysis. It does not itself contain calculated coverage scores, travel times or demographic insights.\u003c\/p\u003e\n\u003ch2\u003eAvailable Download Formats\u003c\/h2\u003e\n\u003ch3\u003eCSV\u003c\/h3\u003e\n\u003cp\u003eUse the CSV file for spreadsheet workflows, filtering, database imports, Python, R and GIS tools that support tabular geographic data.\u003c\/p\u003e\n\u003ch3\u003eJSON\u003c\/h3\u003e\n\u003cp\u003eUse the JSON file for programmatic workflows, custom applications and data pipelines. The file includes dataset metadata alongside the location records.\u003c\/p\u003e\n\u003cp\u003eBoth formats are designed to make the location data easier to work with in your preferred environment.\u003c\/p\u003e\n\u003ch2\u003eGeographic Coverage: The Netherlands\u003c\/h2\u003e\n\u003cp\u003eThis dataset focuses on DHL Packstations in the Netherlands. The records include address details and geographic coordinates to support mapping and spatial workflows.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetwork coverage:\u003c\/strong\u003e Netherlands\u003cbr\u003e\u003cstrong\u003eLocation category:\u003c\/strong\u003e Automated parcel lockers \/ Packstations\u003cbr\u003e\u003cstrong\u003eData fields:\u003c\/strong\u003e Coordinates, address information, opening hours and available service details\u003c\/p\u003e\n\u003cp\u003eThe dataset represents the locations included in the published export. It should not be interpreted as a guarantee that every location is currently active or that every record is complete.\u003c\/p\u003e\n\u003ch2\u003eWho Is This Dataset For?\u003c\/h2\u003e\n\u003cp\u003eThis dataset is suitable for GIS professionals, logistics analysts, researchers, developers, students and businesses that need structured parcel locker location data.\u003c\/p\u003e\n\u003cp\u003eWhether you are building a map, combining location records with other datasets or exploring the spatial distribution of parcel lockers, the downloadable files provide a practical starting point.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003ch3\u003eWhat is a parcel locker locations dataset?\u003c\/h3\u003e\n\u003cp\u003eIt is a structured collection of parcel locker locations with fields such as addresses and geographic coordinates. Depending on the source, records can also include opening hours and service information.\u003c\/p\u003e\n\u003ch3\u003eCan I use this dataset in QGIS or ArcGIS?\u003c\/h3\u003e\n\u003cp\u003eThe CSV format can be imported into GIS software using the latitude and longitude fields as geographic coordinates. The JSON format can be used in compatible data workflows. The exact import steps depend on your software and configuration.\u003c\/p\u003e\n\u003ch3\u003eDoes the dataset include geographic coordinates?\u003c\/h3\u003e\n\u003cp\u003eYes. Latitude and longitude fields are included to support mapping and spatial analysis.\u003c\/p\u003e\n\u003ch3\u003eWhich country does this dataset cover?\u003c\/h3\u003e\n\u003cp\u003eThis product covers the Netherlands. Other country datasets can be linked here as they become available.\u003c\/p\u003e\n\u003ch3\u003eIs the dataset delivered digitally?\u003c\/h3\u003e\n\u003cp\u003eYes. This is a digital data product supplied in the advertised file formats. No physical product is shipped.\u003c\/p\u003e\n\u003ch3\u003eHow current is the data?\u003c\/h3\u003e\n\u003cp\u003eRefer to the dataset's displayed collection or export date and accompanying metadata. Location information can change, so check the stated date before using it for operational decisions.\u003c\/p\u003e\n\u003ch3\u003eDoes the dataset include every parcel carrier?\u003c\/h3\u003e\n\u003cp\u003eNo. This product focuses on the DHL Packstation locations represented in the dataset. It is not a complete database of all parcel lockers, pickup points or carriers in the Netherlands.\u003c\/p\u003e","brand":"DHL","offers":[{"title":"Full Dataset \/ CSV","offer_id":58772974829899,"sku":null,"price":19.99,"currency_code":"EUR","in_stock":true},{"title":"Full Dataset \/ GeoJSON","offer_id":58772997701963,"sku":null,"price":19.99,"currency_code":"EUR","in_stock":true},{"title":"Sample Dataset \/ CSV","offer_id":58772974862667,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Sample Dataset \/ GeoJSON","offer_id":58772997734731,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/DHLPackstation_089462c1-b662-4fbc-a2bb-a482d991d391.png?v=1791582522"},{"product_id":"germany-parcel-locker-locations-dataset-csv-json","title":"Germany Parcel Locker Locations Dataset – CSV \u0026 JSON","description":"\u003cp\u003eDownload structured parcel locker location data for Germany, ready for mapping, geographic analysis and logistics projects.\u003c\/p\u003e\n\u003cp\u003eThis dataset contains all 18,988 DHL Packstation locations across Germany, with geographic coordinates, address information, opening hours and available service details. The same data used to create the viral \u003ca href=\"https:\/\/www.reddit.com\/r\/MapPorn\/s\/R82ytpQtcB\"\u003ereddit\u003c\/a\u003e post of Germany parcel locker network map. Use the data to build maps, study parcel locker coverage, support location-based research or integrate parcel locker locations into your own applications.\u003c\/p\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cdiv\u003eThis dataset contains all 18,988 DHL Packstation locations across Germany, the same data used to create the viral Germany parcel locker network map.\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003eAvailable formats:\u003c\/strong\u003e CSV and JSON\u003cbr\u003e\u003cstrong\u003eGeographic coverage:\u003c\/strong\u003e Germany\u003cbr\u003e\u003cstrong\u003eDelivery:\u003c\/strong\u003e Digital download\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGet the full dataset\u003c\/strong\u003e and start working with parcel locker location data in your own tools and workflows.\u003c\/p\u003e\n\u003ch2\u003eWhat's Included in the Dataset?\u003c\/h2\u003e\n\u003cp\u003eThe dataset is structured to make parcel locker locations easier to filter, map and integrate into other systems.\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eData field\u003c\/th\u003e\n\u003cth\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLocation ID\u003c\/td\u003e\n\u003ctd\u003eIdentifier associated with the location\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eName\u003c\/td\u003e\n\u003ctd\u003eParcel locker or location name\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStreet and house number\u003c\/td\u003e\n\u003ctd\u003eStreet address information\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCity and postal code\u003c\/td\u003e\n\u003ctd\u003eLocality and postcode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLatitude and longitude\u003c\/td\u003e\n\u003ctd\u003eGeographic coordinates for mapping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpening hours\u003c\/td\u003e\n\u003ctd\u003eAvailable opening hours for each day of the week\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eService types\u003c\/td\u003e\n\u003ctd\u003eService information supplied for the location\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAllowed parcels\u003c\/td\u003e\n\u003ctd\u003eAvailable parcel-related limit information, where provided\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepot code\u003c\/td\u003e\n\u003ctd\u003eDepot reference, where available\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Maps link\u003c\/td\u003e\n\u003ctd\u003eLink to view the location on a map\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003eField availability depends on the source record. Consult the included data and metadata for the actual coverage of each field.\u003c\/p\u003e\n\u003ch2\u003eBuilt for Mapping, GIS and Location-Based Projects\u003c\/h2\u003e\n\u003cp\u003eParcel locker coordinates can be used in a range of geographic and commercial applications.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eGIS mapping:\u003c\/strong\u003e Display parcel locker locations in QGIS, ArcGIS or other mapping tools.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLogistics planning:\u003c\/strong\u003e Explore the geographic distribution of parcel lockers and compare locations with other spatial datasets.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCoverage analysis:\u003c\/strong\u003e Investigate where parcel lockers are concentrated and where potential geographic gaps may exist.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAccessibility research:\u003c\/strong\u003e Combine locker coordinates with population, demographic or transport data to investigate proximity and access.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eData visualisation:\u003c\/strong\u003e Build interactive maps, dashboards and location-based reports.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eApplication development:\u003c\/strong\u003e Use structured location records as an input for custom maps, prototypes and data workflows.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe dataset provides location records for your own analysis. It does not itself contain calculated coverage scores, travel times or demographic insights.\u003c\/p\u003e\n\u003ch2\u003eAvailable Download Formats\u003c\/h2\u003e\n\u003ch3\u003eCSV\u003c\/h3\u003e\n\u003cp\u003eUse the CSV file for spreadsheet workflows, filtering, database imports, Python, R and GIS tools that support tabular geographic data.\u003c\/p\u003e\n\u003ch3\u003eJSON\u003c\/h3\u003e\n\u003cp\u003eUse the JSON file for programmatic workflows, custom applications and data pipelines. The file includes dataset metadata alongside the location records.\u003c\/p\u003e\n\u003cp\u003eBoth formats are designed to make the location data easier to work with in your preferred environment.\u003c\/p\u003e\n\u003ch2\u003eGeographic Coverage: Germany\u003c\/h2\u003e\n\u003cp\u003eThis dataset focuses on DHL Packstations in Germany. The records include address details and geographic coordinates to support mapping and spatial workflows.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetwork coverage:\u003c\/strong\u003e Germany\u003cbr\u003e\u003cstrong\u003eLocation category:\u003c\/strong\u003e Automated parcel lockers \/ Packstations\u003cbr\u003e\u003cstrong\u003eData fields:\u003c\/strong\u003e Coordinates, address information, opening hours and available service details\u003c\/p\u003e\n\u003cp\u003eThe dataset represents the locations included in the published export. It should not be interpreted as a guarantee that every location is currently active or that every record is complete.\u003c\/p\u003e\n\u003ch2\u003eWho Is This Dataset For?\u003c\/h2\u003e\n\u003cp\u003eThis dataset is suitable for GIS professionals, logistics analysts, researchers, developers, students and businesses that need structured parcel locker location data.\u003c\/p\u003e\n\u003cp\u003eWhether you are building a map, combining location records with other datasets or exploring the spatial distribution of parcel lockers, the downloadable files provide a practical starting point. \u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003ch3\u003eWhat is a parcel locker locations dataset?\u003c\/h3\u003e\n\u003cp\u003eIt is a structured collection of parcel locker locations with fields such as addresses and geographic coordinates. Depending on the source, records can also include opening hours and service information.\u003c\/p\u003e\n\u003ch3\u003eCan I use this dataset in QGIS or ArcGIS?\u003c\/h3\u003e\n\u003cp\u003eThe CSV format can be imported into GIS software using the latitude and longitude fields as geographic coordinates. The JSON format can be used in compatible data workflows. The exact import steps depend on your software and configuration.\u003c\/p\u003e\n\u003ch3\u003eDoes the dataset include geographic coordinates?\u003c\/h3\u003e\n\u003cp\u003eYes. Latitude and longitude fields are included to support mapping and spatial analysis.\u003c\/p\u003e\n\u003ch3\u003eWhich country does this dataset cover?\u003c\/h3\u003e\n\u003cp\u003eThis product covers the Germany. Other country datasets can be linked here as they become available.\u003c\/p\u003e\n\u003ch3\u003eIs the dataset delivered digitally?\u003c\/h3\u003e\n\u003cp\u003eYes. This is a digital data product supplied in the advertised file formats. No physical product is shipped.\u003c\/p\u003e\n\u003ch3\u003eHow current is the data?\u003c\/h3\u003e\n\u003cp\u003eRefer to the dataset's displayed collection or export date and accompanying metadata. Location information can change, so check the stated date before using it for operational decisions.\u003c\/p\u003e\n\u003ch3\u003eDoes the dataset include every parcel carrier?\u003c\/h3\u003e\n\u003cp\u003eNo. This product focuses on the DHL Packstation locations represented in the dataset. It is not a complete database of all parcel lockers, pickup points or carriers in Germany.\u003c\/p\u003e","brand":"DHL","offers":[{"title":"Full Dataset \/ CSV","offer_id":58782735401291,"sku":null,"price":19.99,"currency_code":"EUR","in_stock":true},{"title":"Full Dataset \/ GeoJSON","offer_id":58782735434059,"sku":null,"price":19.99,"currency_code":"EUR","in_stock":true},{"title":"Sample Dataset \/ CSV","offer_id":58782735466827,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Sample Dataset \/ GeoJSON","offer_id":58782735499595,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/DHLPackstation_089462c1-b662-4fbc-a2bb-a482d991d391.png?v=1791582522"},{"product_id":"belgium-parcel-locker-locations-dataset-csv-json","title":"Belgium Parcel Locker Locations Dataset – CSV \u0026 JSON","description":"\u003cp\u003eDownload structured parcel locker location data for Belgium, ready for mapping, geographic analysis and logistics projects.\u003c\/p\u003e\n\u003cp\u003eThis dataset contains locations of DHL Packstations in Belgium, with geographic coordinates, address information, opening hours and available service details. Use the data to build maps, study parcel locker coverage, support location-based research or integrate parcel locker locations into your own applications.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailable formats:\u003c\/strong\u003e CSV and JSON\u003cbr\u003e\u003cstrong\u003eGeographic coverage:\u003c\/strong\u003e Belgium\u003cbr\u003e\u003cstrong\u003eDelivery:\u003c\/strong\u003e Digital download\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGet the full dataset\u003c\/strong\u003e and start working with parcel locker location data in your own tools and workflows.\u003c\/p\u003e\n\u003ch2\u003eWhat's Included in the Dataset?\u003c\/h2\u003e\n\u003cp\u003eThe dataset is structured to make parcel locker locations easier to filter, map and integrate into other systems.\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eData field\u003c\/th\u003e\n\u003cth\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLocation ID\u003c\/td\u003e\n\u003ctd\u003eIdentifier associated with the location\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eName\u003c\/td\u003e\n\u003ctd\u003eParcel locker or location name\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStreet and house number\u003c\/td\u003e\n\u003ctd\u003eStreet address information\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCity and postal code\u003c\/td\u003e\n\u003ctd\u003eLocality and postcode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLatitude and longitude\u003c\/td\u003e\n\u003ctd\u003eGeographic coordinates for mapping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpening hours\u003c\/td\u003e\n\u003ctd\u003eAvailable opening hours for each day of the week\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eService types\u003c\/td\u003e\n\u003ctd\u003eService information supplied for the location\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAllowed parcels\u003c\/td\u003e\n\u003ctd\u003eAvailable parcel-related limit information, where provided\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDepot code\u003c\/td\u003e\n\u003ctd\u003eDepot reference, where available\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGoogle Maps link\u003c\/td\u003e\n\u003ctd\u003eLink to view the location on a map\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eField availability depends on the source record. Consult the included data and metadata for the actual coverage of each field.\u003c\/p\u003e\n\u003ch2\u003eBuilt for Mapping, GIS and Location-Based Projects\u003c\/h2\u003e\n\u003cp\u003eParcel locker coordinates can be used in a range of geographic and commercial applications.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eGIS mapping:\u003c\/strong\u003e Display parcel locker locations in QGIS, ArcGIS or other mapping tools.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLogistics planning:\u003c\/strong\u003e Explore the geographic distribution of parcel lockers and compare locations with other spatial datasets.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCoverage analysis:\u003c\/strong\u003e Investigate where parcel lockers are concentrated and where potential geographic gaps may exist.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAccessibility research:\u003c\/strong\u003e Combine locker coordinates with population, demographic or transport data to investigate proximity and access.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eData visualisation:\u003c\/strong\u003e Build interactive maps, dashboards and location-based reports.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eApplication development:\u003c\/strong\u003e Use structured location records as an input for custom maps, prototypes and data workflows.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe dataset provides location records for your own analysis. It does not itself contain calculated coverage scores, travel times or demographic insights.\u003c\/p\u003e\n\u003ch2\u003eAvailable Download Formats\u003c\/h2\u003e\n\u003ch3\u003eCSV\u003c\/h3\u003e\n\u003cp\u003eUse the CSV file for spreadsheet workflows, filtering, database imports, Python, R and GIS tools that support tabular geographic data.\u003c\/p\u003e\n\u003ch3\u003eJSON\u003c\/h3\u003e\n\u003cp\u003eUse the JSON file for programmatic workflows, custom applications and data pipelines. The file includes dataset metadata alongside the location records.\u003c\/p\u003e\n\u003cp\u003eBoth formats are designed to make the location data easier to work with in your preferred environment.\u003c\/p\u003e\n\u003ch2\u003eGeographic Coverage: Belgium\u003c\/h2\u003e\n\u003cp\u003eThis dataset focuses on DHL Packstations in Belgium. The records include address details and geographic coordinates to support mapping and spatial workflows.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNetwork coverage:\u003c\/strong\u003e Belgium\u003cbr\u003e\u003cstrong\u003eLocation category:\u003c\/strong\u003e Automated parcel lockers \/ Packstations\u003cbr\u003e\u003cstrong\u003eData fields:\u003c\/strong\u003e Coordinates, address information, opening hours and available service details\u003c\/p\u003e\n\u003cp\u003eThe dataset represents the locations included in the published export. It should not be interpreted as a guarantee that every location is currently active or that every record is complete.\u003c\/p\u003e\n\u003ch2\u003eWho Is This Dataset For?\u003c\/h2\u003e\n\u003cp\u003eThis dataset is suitable for GIS professionals, logistics analysts, researchers, developers, students and businesses that need structured parcel locker location data.\u003c\/p\u003e\n\u003cp\u003eWhether you are building a map, combining location records with other datasets or exploring the spatial distribution of parcel lockers, the downloadable files provide a practical starting point.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003ch3\u003eWhat is a parcel locker locations dataset?\u003c\/h3\u003e\n\u003cp\u003eIt is a structured collection of parcel locker locations with fields such as addresses and geographic coordinates. Depending on the source, records can also include opening hours and service information.\u003c\/p\u003e\n\u003ch3\u003eCan I use this dataset in QGIS or ArcGIS?\u003c\/h3\u003e\n\u003cp\u003eThe CSV format can be imported into GIS software using the latitude and longitude fields as geographic coordinates. The JSON format can be used in compatible data workflows. The exact import steps depend on your software and configuration.\u003c\/p\u003e\n\u003ch3\u003eDoes the dataset include geographic coordinates?\u003c\/h3\u003e\n\u003cp\u003eYes. Latitude and longitude fields are included to support mapping and spatial analysis.\u003c\/p\u003e\n\u003ch3\u003eWhich country does this dataset cover?\u003c\/h3\u003e\n\u003cp\u003eThis product covers the Belgium. Other country datasets can be linked here as they become available.\u003c\/p\u003e\n\u003ch3\u003eIs the dataset delivered digitally?\u003c\/h3\u003e\n\u003cp\u003eYes. This is a digital data product supplied in the advertised file formats. No physical product is shipped.\u003c\/p\u003e\n\u003ch3\u003eHow current is the data?\u003c\/h3\u003e\n\u003cp\u003eRefer to the dataset's displayed collection or export date and accompanying metadata. Location information can change, so check the stated date before using it for operational decisions.\u003c\/p\u003e\n\u003ch3\u003eDoes the dataset include every parcel carrier?\u003c\/h3\u003e\n\u003cp\u003eNo. This product focuses on the DHL Packstation locations represented in the dataset. It is not a complete database of all parcel lockers, pickup points or carriers in Belgium.\u003c\/p\u003e","brand":"DHL","offers":[{"title":"Full Dataset \/ CSV","offer_id":58784230998347,"sku":null,"price":19.99,"currency_code":"EUR","in_stock":true},{"title":"Full Dataset \/ GeoJSON","offer_id":58784231031115,"sku":null,"price":19.99,"currency_code":"EUR","in_stock":true},{"title":"Sample Dataset \/ CSV","offer_id":58784231063883,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true},{"title":"Sample Dataset \/ GeoJSON","offer_id":58784231096651,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/files\/DHLPackstation_089462c1-b662-4fbc-a2bb-a482d991d391.png?v=1791582522"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0982\/1936\/0587\/collections\/ParcelLocker.png?v=1791924061","url":"https:\/\/www.datalocatr.com\/collections\/dhl-parcel-locker-location-datasets.oembed","provider":"DataLocatr","version":"1.0","type":"link"}