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f
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{
f
1
{
            
2
  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
2
  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
            
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  "author_email": "frantisek.pavlicek@clevermaps.io",
3
  "author_email": "frantisek.pavlicek@clevermaps.io",
            
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  "availability": "Upon request",
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  "availability": "Upon request",
            
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  "category": "Points of Interest",
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  "category": "Points of Interest",
            
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  "coverage": "Czech Republic",
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  "coverage": "Czech Republic",
            
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  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
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  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
            
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  "crs": "4326 (WGS84)",
8
  "crs": "4326 (WGS84)",
            
9
  "data_source": "https://www.sharpgrid.com/",
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  "data_source": "https://www.sharpgrid.com/",
            
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  "dataset_dimension": "Dataset",
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  "dataset_dimension": "Dataset",
            
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  "date_validity": "2023-07-01",
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  "date_validity": "2023-07-01",
            
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  "dimension": "Undimensioned",
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  "dimension": "Undimensioned",
            
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  "for_sale": "For sale",
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  "for_sale": "For sale",
            
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  "geometry": "Point",
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  "geometry": "Point",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "d2fb7aac-edf3-442c-9665-41e3f1662427",
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  "id": "d2fb7aac-edf3-442c-9665-41e3f1662427",
            
17
  "isopen": false,
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  "isopen": false,
            
18
  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
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  "license_title": null,
            
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  "lowest_granularity": "Not relevant",
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  "lowest_granularity": "Not relevant",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-08-19T00:21:48.756316",
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  "metadata_created": "2023-08-19T00:21:48.756316",
            
n
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  "metadata_modified": "2023-11-07T00:28:57.810405",
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  "metadata_modified": "2024-05-25T00:33:31.398435",
            
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  "name": "sharpgrid-points_of_interest_-_czech_republic_sharpgrid",
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  "name": "sharpgrid-points_of_interest_-_czech_republic_sharpgrid",
            
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  "notes": "This dataset contains the points of interest in Czech 
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  "notes": "This dataset contains HoReCa (restaurants, bars, pubs, 
            
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Republic. The provider of the data is Sharpgrid. The dataset contains 
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caf\u00e9s, etc.) outlet data for the Czech Republic. The provider of 
            
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various attributes, e.g. contact information, opening hours, the 
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the data is Sharpgrid. The dataset is quarterly updated and includes 
            
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sortiment of each amenity or the information about consumer engagement 
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attributes for accurate segmentation and prioritization. Get 
            
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rating and consumer score of the place. In Czech Republic even more 
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information about outlet revenues, potential, consumer insights, 
            
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information such as price level or the amenity age is available. It is 
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contacts, offering, and much more.",
            
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offered with quarterly updates or as a one-time purchase.",

            
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  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 5,
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  "num_tags": 5,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
35
    "approval_status": "approved",
            
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    "created": "2023-08-19T00:15:55.784429",
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    "created": "2023-08-19T00:15:55.784429",
            
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    "description": "Sharpgrid is a company which offers sorted and 
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    "description": "Sharpgrid is a company which offers sorted and 
            
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preprocessed data about outlets in the HoReCa segment in most of the 
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preprocessed data about outlets in the HoReCa segment in most of the 
            
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countries in Europe. The data contain valuable information about each 
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countries in Europe. The data contain valuable information about each 
            
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of the outlets, such as opening hours, type of food and beverages 
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of the outlets, such as opening hours, type of food and beverages 
            
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consumed, pricing level etc. It allows for a deep understanding of the 
41
consumed, pricing level etc. It allows for a deep understanding of the 
            
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market in the given location and gives you a great tool to be able to 
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market in the given location and gives you a great tool to be able to 
            
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analyze market gaps and a customer potential. Take advantage of 
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analyze market gaps and a customer potential. Take advantage of 
            
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granular insights to design targeted, data-driven commercial 
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granular insights to design targeted, data-driven commercial 
            
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actions.",
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actions.",
            
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    "id": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
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    "id": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
            
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    "image_url": 
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    "image_url": 
            
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.com/624c242f060bd9591c2539f8/6421c3fbfad3f77f5babfb9a_pin_shape.svg",
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.com/624c242f060bd9591c2539f8/6421c3fbfad3f77f5babfb9a_pin_shape.svg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "sharpgrid",
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    "name": "sharpgrid",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "SharpGrid",
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    "title": "SharpGrid",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
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  "owner_org": "19eba4b1-f021-4edd-a674-c9e31c7a50c8",
            
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  "price_notes": "Includes 20 % margin. Price for a one-time dataset 
56
  "price_notes": "Includes 20 % margin. Price for a one-time dataset 
            
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purchase. Also available with quarterly updates for 502560 CZK and as 
57
purchase. Also available with quarterly updates for 502560 CZK and as 
            
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a selection from the dataset for 90000 CZK. For more information 
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a selection from the dataset for 90000 CZK. For more information 
            
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please see 
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please see 
            
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readsheets/d/1cxruk-sueudevy6s6mx3gsn_zxnxfbafgb1ajxkmxj8/edit#gid=0",
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readsheets/d/1cxruk-sueudevy6s6mx3gsn_zxnxfbafgb1ajxkmxj8/edit#gid=0",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
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      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
70
      "created": "2023-08-18T06:50:20.502848",
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      "created": "2023-08-18T06:50:20.502848",
            
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      "datastore_active": true,
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      "datastore_active": true,
            
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      "datastore_contains_all_records_of_source_file": true,
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      "datastore_contains_all_records_of_source_file": true,
            
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      "description": "Data sample",
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      "description": "Data sample",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "091774b0682ae69a20ef7e8dae1241f1",
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      "hash": "091774b0682ae69a20ef7e8dae1241f1",
            
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      "id": "18a25686-7aba-4a32-9ab9-abeabd0ca90a",
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      "id": "18a25686-7aba-4a32-9ab9-abeabd0ca90a",
            
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      "ignore_hash": true,
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      "ignore_hash": true,
            
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      "last_modified": null,
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      "last_modified": null,
            
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      "map": 
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      "map": 
            
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/poi_offering_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
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/poi_offering_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
n
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      "metadata_modified": "2023-11-07T00:28:57.813925",
n
80
      "metadata_modified": "2024-05-25T00:33:31.402632",
            
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      "mimetype": null,
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Points of Interest",
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      "name": "Points of Interest",
            
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      "original_url": 
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      "original_url": 
            
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localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
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localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
            
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      "package_id": "d2fb7aac-edf3-442c-9665-41e3f1662427",
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      "package_id": "d2fb7aac-edf3-442c-9665-41e3f1662427",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_id": "18a25686-7aba-4a32-9ab9-abeabd0ca90a",
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      "resource_id": "18a25686-7aba-4a32-9ab9-abeabd0ca90a",
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "s3link": 
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      "s3link": 
            
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data-catalog/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
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data-catalog/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
            
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      "set_url_type": false,
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      "set_url_type": false,
            
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      "size": null,
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      "size": null,
            
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      "state": "active",
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      "state": "active",
            
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      "task_created": "2023-08-18 07:05:38.368114",
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      "task_created": "2023-08-18 07:05:38.368114",
            
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      "url": 
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      "url": 
            
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localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
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localhost/s3/data_partners/sharpgrid/poi_sharpgrid_sample_tier_c.csv",
            
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      "url_type": null
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      "url_type": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "state": "active",
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Czech Republic",
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      "display_name": "Czech Republic",
            
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      "id": "90b90e63-130f-478e-a12b-4ce6e0d7b2b4",
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      "id": "90b90e63-130f-478e-a12b-4ce6e0d7b2b4",
            
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      "name": "Czech Republic",
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      "name": "Czech Republic",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "POI",
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      "display_name": "POI",
            
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      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
112
      "id": "11f61381-f0b6-47e5-bf8f-2961374c8c18",
            
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      "name": "POI",
113
      "name": "POI",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
119
      "display_name": "Sharpgrid",
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      "display_name": "Sharpgrid",
            
120
      "id": "690f761d-c1ca-4cdb-804b-94481815f027",
119
      "id": "690f761d-c1ca-4cdb-804b-94481815f027",
            
121
      "name": "Sharpgrid",
120
      "name": "Sharpgrid",
            
122
      "state": "active",
121
      "state": "active",
            
123
      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "data partner",
125
      "display_name": "data partner",
            
127
      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
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      "id": "3b3002bc-553c-40e3-b0ec-4634929b3ede",
            
128
      "name": "data partner",
127
      "name": "data partner",
            
129
      "state": "active",
128
      "state": "active",
            
130
      "vocabulary_id": null
129
      "vocabulary_id": null
            
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    },
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    },
            
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    {
131
    {
            
133
      "display_name": "points of interest",
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      "display_name": "points of interest",
            
134
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
133
      "id": "a95d8198-bc5d-4c73-b16b-d8e83e5b78f7",
            
135
      "name": "points of interest",
134
      "name": "points of interest",
            
136
      "state": "active",
135
      "state": "active",
            
137
      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
137
    }
            
139
  ],
138
  ],
            
t
140
  "title": "Points of Interest \u2013 Czech Republic (Sharpgrid)",
t
139
  "title": "HoReCa outlet data \u2013 Czech Republic",
            
141
  "type": "dataset",
140
  "type": "dataset",
            
142
  "url": null,
141
  "url": null,
            
143
  "use_cases": 
142
  "use_cases": 
            
144
aps.io/service-availability,https://www.clevermaps.io/site-selection",
143
aps.io/service-availability,https://www.clevermaps.io/site-selection",
            
145
  "use_cases_description": "Evaluate your current network and find the 
144
  "use_cases_description": "Evaluate your current network and find the 
            
146
locations with the best visibility, availability and performance based 
145
locations with the best visibility, availability and performance based 
            
147
on data about population, exposure or purchasing power.,Find the 
146
on data about population, exposure or purchasing power.,Find the 
            
148
locations with high and low market penetration. Place your new branch 
147
locations with high and low market penetration. Place your new branch 
            
149
smart with the help of data about population, other points of interest 
148
smart with the help of data about population, other points of interest 
            
150
or human mobility.,Detect\u00a0areas with the most competitive 
149
or human mobility.,Detect\u00a0areas with the most competitive 
            
151
pressure and identify the line between too many competitors and a 
150
pressure and identify the line between too many competitors and a 
            
152
beneficial number of competitors to avoid useless 
151
beneficial number of competitors to avoid useless 
            
153
costs.,Analyze\u00a0the availability of the specific type of service, 
152
costs.,Analyze\u00a0the availability of the specific type of service, 
            
154
e.g., cuisine in particular times and areas and use the spatial 
153
e.g., cuisine in particular times and areas and use the spatial 
            
155
insights to place your new business correctly.,Wondering where to 
154
insights to place your new business correctly.,Wondering where to 
            
156
place your next branch, when you already have all the important places 
155
place your next branch, when you already have all the important places 
            
157
in town covered? Find locations with undiscovered potential with 
156
in town covered? Find locations with undiscovered potential with 
            
158
location data.",
157
location data.",
            
159
  "version": null,
158
  "version": null,
            
160
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
159
  "visualization": "Dotmap,Heatmap,Polygon,Grid"
            
161
}
160
}