Crawlbee | Geospatial Data | Land Data | Location Data | Property Data | Parcel Data
| # | address |
street |
city |
county |
state |
zip |
year_built |
home_value |
home_value_updated |
home_value_min |
home_value_max |
home_value_change_yoy |
home_value_history |
tax_value |
tax_rate |
tax_change_yoy |
property_tax |
land_value |
improvement_value |
tax_history |
num_bedrooms |
num_bathrooms |
num_units |
num_rooms |
num_stories |
sqft |
sqft_first_floor |
sqft_second_floor |
sqft_basement |
sqft_finished |
sqft_unfinished_basement |
sqft_garage |
sqft_carport |
sqft_shed |
sqft_driveway |
sqft_utility_building |
sqft_canopy |
sqft_grainery |
sqft_loading_platform |
sqft_milk_house |
sqft_porch |
sqft_patio |
sqft_deck |
sqft_balcony |
sqft_pool |
sqft_storage_building |
sqft_pole_structure |
sqft_stable |
sqft_poultry_house |
sqft_attic |
sqft_gazebo |
lot_numbers |
lot_size |
lot_depth |
lot_width |
zoning |
water |
sewage |
parking_spaces |
parking_type |
architecture_type |
roof_material_type |
exterior_wall_type |
interior_wall_type |
foundation_type |
flooring_types |
plumbing_fixtures_count |
construction_type |
has_family_room |
has_game_room |
has_golf_course |
has_tennis_court |
has_mobilehome_hookup |
has_accessibility_elevator |
has_ac |
has_central_ac |
has_window_ac |
has_fireplace |
has_fire_sprinklers |
heating_type |
heating_fuel_type |
land_use_code |
county_use_code |
county_subdivision |
county_subdivision_description |
ownership |
deeds |
permits |
foreclosures |
businesses |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| 5 | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
| 6 | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx |
| 7 | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
| 8 | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx |
| 9 | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx |
| 10 | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx | xxxxx | xxxxxxxx | xxxxx | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxx |
| ... | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
address
|
String | 101 WATER DR WARNER ROBINS GA 31088 | |
|
street
|
String | 101 WATER DR | |
|
city
|
String | WARNER ROBINS | |
|
county
|
String | HOUSTON | |
|
state
|
String | GA | |
|
zip
|
Integer | 31088 | |
|
year_built
|
Integer | 1987 | |
|
home_value
|
Integer | 228774 | |
|
home_value_updated
|
DateTime | 2023-06-27T00:00:00+00:00 | |
|
home_value_min
|
Integer | 224198 | |
|
home_value_max
|
Integer | 233349 | |
|
home_value_change_yoy
|
Float | -4.1 | |
|
home_value_history
|
String | [{"date":"2023-06","value":228774,"change":-0.9},{"date":... | |
|
tax_value
|
Integer | 51320 | |
|
tax_rate
|
Float | 2.51 | |
|
tax_change_yoy
|
Float | 52.5 | |
|
property_tax
|
Integer | 1289 | |
|
land_value
|
Integer | 6600 | |
|
improvement_value
|
Integer | 44720 | |
|
tax_history
|
String | [{"year":2020,"land_value":6600,"improvement_value":44680... | |
|
num_bedrooms
|
Integer | 3 | |
|
num_bathrooms
|
Integer | 2 | |
|
num_units
|
Integer | 1 | |
|
num_rooms
|
Integer | 3 | |
|
num_stories
|
Integer | 1 | |
|
sqft
|
Integer | 1441 | |
|
sqft_first_floor
|
Integer | 1441 | |
|
sqft_second_floor
|
|||
|
sqft_basement
|
|||
|
sqft_finished
|
Integer | 1441 | |
|
sqft_unfinished_basement
|
|||
|
sqft_garage
|
Integer | 460 | |
|
sqft_carport
|
|||
|
sqft_shed
|
|||
|
sqft_driveway
|
|||
|
sqft_utility_building
|
|||
|
sqft_canopy
|
|||
|
sqft_grainery
|
|||
|
sqft_loading_platform
|
|||
|
sqft_milk_house
|
|||
|
sqft_porch
|
Integer | 432 | |
|
sqft_patio
|
Integer | 168 | |
|
sqft_deck
|
|||
|
sqft_balcony
|
|||
|
sqft_pool
|
|||
|
sqft_storage_building
|
|||
|
sqft_pole_structure
|
|||
|
sqft_stable
|
|||
|
sqft_poultry_house
|
|||
|
sqft_attic
|
|||
|
sqft_gazebo
|
|||
|
lot_numbers
|
String | 2, 482 | |
|
lot_size
|
Integer | 20909 | |
|
lot_depth
|
Integer | 16000 | |
|
lot_width
|
Integer | 13100 | |
|
zoning
|
String | R1 | |
|
water
|
|||
|
sewage
|
|||
|
parking_spaces
|
Integer | 2 | |
|
parking_type
|
String | GARAGE, ATTACHED | |
|
architecture_type
|
String | OTHER | |
|
roof_material_type
|
String | ASPHALT | |
|
exterior_wall_type
|
String | ASBESTOS | |
|
interior_wall_type
|
String | WALLBOARD/DRYWALL | |
|
foundation_type
|
String | MAT/RAFT FOUNDATION (SLAB) | |
|
flooring_types
|
String | LAMINATE PLANK | |
|
plumbing_fixtures_count
|
|||
|
construction_type
|
String | GABLE/HIP | |
|
has_family_room
|
|||
|
has_game_room
|
|||
|
has_golf_course
|
|||
|
has_tennis_court
|
|||
|
has_mobilehome_hookup
|
|||
|
has_accessibility_elevator
|
|||
|
has_ac
|
Integer | 1 | |
|
has_central_ac
|
Integer | 1 | |
|
has_window_ac
|
|||
|
has_fireplace
|
Integer | 1 | |
|
has_fire_sprinklers
|
Integer | 0 | |
|
heating_type
|
String | CENTRAL | |
|
heating_fuel_type
|
|||
|
land_use_code
|
Integer | 0 | |
|
county_use_code
|
Integer | 13153 | |
|
county_subdivision
|
String | QUAIL MEA-BEAVER RUN | |
|
county_subdivision_description
|
String | LOT 2 BEAVER RUN ESTATES EXTN | |
|
ownership
|
String | [{"month_purchased":"SEPTEMBER","year_purchased":2019,"ye... | |
|
deeds
|
String | [{"date":"2019-09-06","type":"WARRANTY","is_residential":... | |
|
permits
|
String | [] | |
|
foreclosures
|
String | [{"date":"2018-04-03","type":"NOTICE OF TRUSTEE'S SALE","... | |
|
businesses
|
String | [{"name":"DAVES TOOLS AND STUFF LLC","type":"DOMESTIC LIM... |
Description
Country Coverage
History
Volume
| 150 million | records |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data?
Our geospatial dataset is a compact yet comprehensive resource that merges property metrics with geospatial data. Culled from multiple sources, it offers a nuanced view of property values, regional trends, and location-specific insights.
What is Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data used for?
This product has 4 key use cases. CrawlBee recommends using the data for Consumer Trend Analysis, Business Intelligence (BI), Competitive Intelligence, and Data Visualization. Global businesses and organizations buy Address Data from CrawlBee to fuel their analytics and enrichment.
Who can use Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Address Data. Get in touch with CrawlBee to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data go?
This product has 1 days of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data cover?
This product includes data covering 1 country like USA. CrawlBee is headquartered in United States of America.
How much does Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data cost?
Pricing information for Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data is available by getting in contact with CrawlBee. Connect with CrawlBee to get a quote and arrange custom pricing models based on your data requirements.
How can I get Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data?
Businesses can buy Address Data from CrawlBee and get the data via S3 Bucket, SFTP, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, CrawlBee can deliver this product in .json, .csv, and .txt format.
What is the data quality of Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data?
CrawlBee has reported that this product has the following quality and accuracy assurances: 98% Accuracy. You can compare and assess the data quality of CrawlBee using Datarade’s data marketplace. CrawlBee has received 4 reviews from clients.
What are similar products to Crawlbee Geospatial Data Land Data Location Data Property Data Parcel Data?
This product has 3 related products. These alternatives include CrawlBee Zillow.com Data Property Listings Data Real Estate Transactions Property Valuation Data, Realtor Property Data, Realtor Data, Realtor API, Property Owner Data, Scrape All Publicly Available Property Listings & Data - Easy to Integrate., and Mobile Network Coverage GIS Data EU + US Indoor mobile network signal strength. You can compare the best Address Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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