@datafire/rapidapi_idealspot_geodata

3.0.0 • Public • Published

@datafire/rapidapi_idealspot_geodata

Client library for IdealSpot GeoData

Installation and Usage

npm install --save @datafire/rapidapi_idealspot_geodata
let rapidapi_idealspot_geodata = require('@datafire/rapidapi_idealspot_geodata').create();

.then(data => {
  console.log(data);
});

Description

Hyperlocal Demographics, Vehicle Traffic, Economic, Market Signals, and More. Use this API to request IdealSpot hyperlocal geospatial market insight and geometry data.

Detailed Description

Use this API as your local economy microscope by querying IdealSpot hyperlocal market insight and geometry data. We offer the most precise, extensive, and frequently-updated local market data in the US. Our data is available across the entire US and can be queried at geographic scales ranging from the micro (Census block) through the macro (nation).

Better data and analysis leads to a better understanding of local market opportunities and risks. Integrate with your commercial real estate and marketing applications, machine learning workflows, and other investment analytics.

Our goal is to offer the most complete snapshot of the geographically distributed consumer and retail economy. We start with the fundamentals of consumers and business establishments. To connect retailers with consumers, we provide mobility data like vehicle traffic and mobile device data. To describe consumer intent, we provide geolocated digital marketing data.

We believe that accurate capital allocation through reliable local market data is foundational to creating robust, healthy, and livable communities for all. We hope you and your clients find tremendous value in this service.

Features

Query data and GeoJSON geometries at these scales for any US latitude and longitude:

  • Rings (0.5 km+)
  • Drive time (1-60 minutes)
  • Bike time (3-60 minutes)
  • Walk time (5-60 minutes)
  • Public transit time (5-60 minutes)
  • Administrative region (US, states, core-based statistical areas, counties, Census-designated places, Census tracts, zipcodes, Census block groups, opportunity zones)
Data Feature Description
Demographics, Housing, Spending Updated Quarterly. Current and historical market data including population, spending, and housing. Vendor (PopStats) is relied upon by Walgreens, Ulta Beauty, Blackstone, etc
Labor, Business Establishments, Economic Conditions Updated Quarterly. Traditional market data including workforce, business establishment counts, and economic conditions like local GDP, unemployment rates. Vendor (PopStats) is relied upon by Walgreens, Ulta Beauty, Blackstone, etc
Consumer segmentation Updated Annually. Demographics grouped into narrative-oriented segments.
Vehicle Traffic Updated semi-annually. Gold standard in vehicle traffic data from INRIX. Counts by day of week, time of day and side of street.
Rings and Travel time polygons Estimate in Real-time. Rings alongside drive time, walk time, bike time, and public transit time polygons. Request as GeoJSON geometries for mapping or use with data queries
Administrative region polygons Updated Annually. GeoJSON administrative regions from US Census Bureau: block groups, tracts, counties, CBSAs, states, opportunity zones, USPS zipcodes
Internet Search Volumes 30 day rolling averages for geolocated advertising potential across 450 business categories from major search engines
Social Media Interest 30 day rolling average for geolocated advertising potential across 450 business categories from major social networks

Coming Soon!

This API powers our local market research platform at IdealSpot.com. The functionality exposed so far is only a portion of our current capabilities. We will be exposing additional API features in time so watch this space!

Data Feature Description
Mobile device visit counts, points of interest, brands Fresh point of interest data across 3000+ brands, millions of POI, and historical foot traffic counts using mobile data for those points of interest
Origin/destination trips from mobile devices Map origins and destinations of devices visiting an arbitrary catchment area
Competition search Search all major point-of-interest aggregators in one query
Environment/climate Expected weather patterns like temperature and precipitation
Filter search API Query data for all counties in state, all tracts in MSA, etc
Road segment tiles Plot road segments on maps in interactive applications

Developer Website

For more detail see https://developer.idealspot.com/

Actions

FetchAvailableInsights

List all insights that the user has access to. This includes population, household income, crime statistics, walking traffic, vehicle traffic counts, employment, and much more,

rapidapi_idealspot_geodata.FetchAvailableInsights({
  "X-RapidAPI-Key": "",
  "X-RapidAPI-Host": ""
}, context)

Input

Output

FetchInsightQueryParameters

Fetch request/response structure metadata for a given Insight. This provides you the periods of data available as well as any other parameters you may want to query the Insight by. Example Insights include population and market data such as: age, daytime population, avg. home value, crime indexes, foot traffic, employment, income, occupation, etc. For the full-list see the developer documentation.

rapidapi_idealspot_geodata.FetchInsightQueryParameters({
  "insight_id:": "",
  "X-RapidAPI-Key": "",
  "X-RapidAPI-Host": ""
}, context)

Input

Output

QueryInsightatLocation

Execute a query for a given insight and location(s). Some Insights may require you to provide required options. ie., when querying occupation for White-Collar Workers, you can filter by opt={"data":{"category":[2469]}}

For examples of locations, please see Location API Documentation

rapidapi_idealspot_geodata.QueryInsightatLocation({
  "version": "",
  "location[]": "",
  "insight_id:": "",
  "X-RapidAPI-Key": "",
  "X-RapidAPI-Host": ""
}, context)

Input

  • input object
    • version required string: (Required) Insight version. Insight versions are incremented when a response format changes in any way, including the addition of new groups. Old versions are retained, unmodified, for backwards compatibility.
    • location[] required string: (Required) Represents a buffer, region, or custom polygon specification. Accepts the Location model (as a Buffer, Region, or Custom Polygon) formatted as a JSON string. Multiple location query parameters are allowed. NOTE: When requesting multiple locations, you must include brackets(i.e. ?location[]=...&location[]=...). If not included, only the last location will be used. For more detail, see https://idealspot.gitlab.io/developer-docs/#location
    • insight_id: required string: Insight ID. See https://developer.idealspot.com/data for full list.
    • X-RapidAPI-Key required string: (Required) Rapid API Key. See https://rapidapi.com/idealspot-inc-idealspot-inc-default/api/idealspot-geodata
    • X-RapidAPI-Host required string

Output

FetchGeometries

Fetch location GeoJSON

rapidapi_idealspot_geodata.FetchGeometries({
  "location[]": "",
  "X-RapidAPI-Key": "",
  "X-RapidAPI-Host": ""
}, context)

Input

  • input object
    • location[] required string: (Required) Represents a buffer, region, or custom polygon specification. Accepts the Location model (as a Buffer, Region, or Custom Polygon) formatted as a JSON string. Multiple location query parameters are allowed. NOTE: When requesting multiple locations, you must include brackets(i.e. ?location[]=...&location[]=...). If not included, only the last location will be used.
    • X-RapidAPI-Key required string: (Required) Rapid API Key. See https://rapidapi.com/idealspot-inc-idealspot-inc-default/api/idealspot-geodata
    • X-RapidAPI-Host required string

Output

geometries.regions.intersecting.latitude.longitude.get

For given latitude and longitude, find intersecting administrative regions. Region polygons are simplified for web mapping.

rapidapi_idealspot_geodata.geometries.regions.intersecting.latitude.longitude.get({
  "latitude": 0,
  "longitude": 0,
  "X-RapidAPI-Key": "",
  "X-RapidAPI-Host": ""
}, context)

Input

Output

VehicleTrafficCountsforRoadSegment

Time of day, day of week, and side of street vehicle traffic counts.

rapidapi_idealspot_geodata.VehicleTrafficCountsforRoadSegment({
  "segment_id": 0,
  "X-RapidAPI-Key": "",
  "X-RapidAPI-Host": ""
}, context)

Input

Output

FetchNearestRoadSegments

For given latitude and longitude, find n nearest road segments

rapidapi_idealspot_geodata.FetchNearestRoadSegments({
  "n": 0,
  "latitude": 0,
  "longitude": 0,
  "X-RapidAPI-Key": "",
  "X-RapidAPI-Host": ""
}, context)

Input

  • input object

Output

Definitions

Autocomplete

  • Autocomplete object
    • input required array
      • items string

Category

  • Category object
    • description required string
    • id required integer
    • label required string
    • parent_id required string

Crs

  • Crs object

Data

  • Data object
    • parameters required Parameters
    • description required string
    • groups required array
      • items string
    • id required string
    • name required string
    • periods required array
      • items string
    • slug required string
    • version required string

Data1

  • Data1 object
    • data required array
      • items array
        • items string
    • location required Location1
    • location_index required integer
    • metadata required Metadata

Data2

  • Data2 object

Data3

  • Data3 object
    • features required array
    • type required string

Data4

  • Data4 object
    • crs required Crs
    • features required array
    • type required string

Data5

  • Data5 object
    • data required array
      • items array
        • items integer
    • metadata required Metadata1
    • roadsegment required Roadsegment
    • stats required Stats

Datum

  • Datum object
    • description required string
    • id required string
    • name required string
    • version required string

Describe_occupation_Insight

  • DescribeoccupationInsight object
    • data required Data

Describetheregionwithin5minutedrive-timeofageographicpoint

  • Describetheregionwithin5minutedrive-timeofageographicpoint object

Feature

  • Feature object

Feature1

  • Feature1 object

FetchAdministrativeRegionsusingLat_Lng

  • FetchAdministrativeRegionsusingLat/Lng object
    • data required array

Geometry

  • Geometry object
    • coordinates required array
      • items array
        • items number
    • type required string

Homevalueswithin1mi.radiusofLocation

  • Homevalueswithin1mi.radiusofLocation object
    • data required array

ListAllLocalInsights

  • ListAllLocalInsights object
    • data required array

Location1

  • Location1 object
    • areatype required string
    • latitude required number
    • longitude required number
    • radius required integer
    • type required string
    • units required string

Location3

  • Location3 object
    • areatype required string
    • latitude required number
    • longitude required number
    • radius required string
    • type required string
    • units required string

Metadata

  • Metadata object
    • datetime required array
      • items array
        • items string
    • display_groups required array
      • items array
        • items string
    • units required Units

Metadata1

  • Metadata1 object
    • bearing required string
    • columns required array
      • items string
    • name required string
    • rows required array
      • items string
    • segment_id required string
    • state required string

Parameters

  • Parameters object
    • category required array

Properties

  • Properties object
    • _properties required Properties1
    • altname required string
    • autocomplete required Autocomplete
    • calculated_area_sq_meters required number
    • name required string
    • region_id required string
    • regiontype required string
    • state_code required string
    • timestamp required string

Properties1

  • Properties1 object
    • AFFGEOID string
    • ALAND required integer
    • AWATER integer
    • BLKGRPCE string
    • CBSAFP string
    • CLASSFP string
    • COUNTYFP string
    • COUNTYNS string
    • CSAFP string
    • DIVISION string
    • FUNCSTAT string
    • GEOID string
    • INTPTLAT string
    • INTPTLON string
    • LSAD string
    • MEMI string
    • METDIVFP string
    • MTFCC string
    • NAME string
    • NAMELSAD string
    • PCICBSA string
    • PCINECTA string
    • PLACEFP string
    • PLACENS string
    • POPULATION integer
    • POP_SQMI number
    • PO_NAME string
    • REGION string
    • SQMI number
    • STATE string
    • STATEFP string
    • STATENS string
    • STUSPS string
    • Shape_Area number
    • Shape_Leng number
    • TRACTCE string
    • ZIP_CODE string

Properties2

  • Properties2 object
    • calculated_area_sq_meters required number
    • location required Location3
    • status required integer

Properties3

  • Properties3 object
    • bearing required string
    • roadname required string
    • segment_id required string
    • state required string

Properties4

  • Properties4 object
    • name required string

Roadsegment

  • Roadsegment object
    • coordinates required array
      • items array
        • items number
    • type required string

SearchRoadSegments

  • SearchRoadSegments object

Stats

  • Stats object
    • aadt required integer

Units

  • Units object
    • $100k-125k required string
    • $10k-15k required string
    • $125k-150k required string
    • $150k-175k required string
    • $15k-20k required string
    • $175k-200k required string
    • $200k-250k required string
    • $20k-25k required string
    • $250k-300k required string
    • $25k-30k required string
    • $300k-400k required string
    • $30k-35k required string
    • $35k-40k required string
    • $400k-500k required string
    • $40k-50k required string
    • $500k-750k required string
    • $50k-60k required string
    • $60k-70k required string
    • $70k-80k required string
    • $750k-1M required string
    • $80k-90k required string
    • $90k-100k required string
    • Median Home Value required string
    • Over $1M required string
    • Owner Occupied Households required string
    • Under $10k required string
    • context.households required string
    • context.landarea required string

VehicleTrafficCountsforRoadSegment

  • VehicleTrafficCountsforRoadSegment object
    • data required array

locationArray

  • location[] object
    • areatype required string
    • latitude required number
    • longitude required number
    • radius required string
    • type required string
    • units required string

locationArray2

  • location[]2 object
    • region_id required string
    • regiontype required string
    • type required string

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npm i @datafire/rapidapi_idealspot_geodata

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Version

3.0.0

License

MIT

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Total Files

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  • datafire