CrawlBee | Construction Data | Construction Projects Lead Data | USA | Land Use and Company | Contractor Lists
# | house |
street |
city |
state |
zip5 |
formatted |
original |
most_recent_event |
oldest_event |
total_liens |
total_lien_value |
total_companies |
project_type |
property_owner |
events |
companies |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx |
2 | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
3 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
4 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
5 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
6 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
8 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx |
9 | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
10 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
... | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx |
# | company_name |
company_description |
primary_sector |
website |
is_contractor |
is_subcontractor |
total_jobs |
total_slow_pay_jobs |
total_liens |
total_states_worked_in |
num_ratings |
reviews |
followers |
total_liens_2020 |
total_liens_2021 |
total_liens_2022 |
total_liens_2023 |
protected_projects_12m_pct |
protected_projects_state_average_pct |
protected_projects_national_average_pct |
unprotected_projects_12m_pct |
unprotected_projects_state_average_pct |
unprotected_projects_national_average_pct |
slow_payments_12m_pct |
slow_payments_state_average_pct |
slow_payments_national_average_pct |
projects_with_liens_12m_pct |
projects_with_liens_state_average_pct |
projects_with_liens_national_average_pct |
projects |
payment_incidents_2020_pct |
payment_incidents_2021_pct |
payment_incidents_2022_pct |
payment_incidents_2023_pct |
paid_within_15_days_pct |
paid_between_15_30_days_pct |
paid_within_31_60_days_pct |
paid_after_60_days_pct |
lien_value_lt_50k_pct |
lien_value_50k_250k_pct |
lien_value_250k_500k_pct |
lien_value_500k_1m_pct |
lien_value_gt_1m_pct |
popular_general_contractors |
popular_suppliers |
permit_value_lt_50k_pct |
permit_value_50k_250k_pct |
permit_value_250k_500k_pct |
permit_value_500k_1m_pct |
permit_value_gt_1m_pct |
permits |
offices |
licenses |
bonds |
workers_compensation |
news |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
2 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
3 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
4 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
5 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
6 | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
7 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | 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 |
8 | 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 |
9 | xxxxxxxxxx | xxxxxxx | 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 |
10 | 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 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
house
|
Integer | 960108 | |
street
|
String | GTWY BLVD | |
city
|
String | FERNANDINA BEACH | |
state
|
String | FL | |
zip5
|
Integer | 32034 | |
formatted
|
String | 960108 GTWY BLVD, FERNANDINA BEACH, FL 32034 | |
original
|
String | 960108 GATEWAY BLVD, Fernandina Beach, Florida 32034 | |
most_recent_event
|
DateTime | 2022-05-10T00:00:00+00:00 | |
oldest_event
|
DateTime | 2020-04-30T00:00:00+00:00 | |
total_liens
|
Integer | 5 | |
total_lien_value
|
Float | 104476.97 | |
total_companies
|
Integer | 12 | |
project_type
|
String | Residential | |
property_owner
|
String | Unknown | |
events
|
String | [{"date":"2022-05-10","title":"Mechanics Lien Filed","act... | |
companies
|
String | [{"type":"Lender","name":"Ameris Bank"},{"type":"General ... |
Attribute | Type | Example | Mapping |
---|---|---|---|
company_name
|
String | J&D Rack Co. Inc. | |
company_description
|
|||
primary_sector
|
String | Subcontractor | |
website
|
|||
is_contractor
|
Integer | 1 | |
is_subcontractor
|
Integer | 0 | |
total_jobs
|
Integer | 9 | |
total_slow_pay_jobs
|
Integer | 0 | |
total_liens
|
Integer | 0 | |
total_states_worked_in
|
Integer | 1 | |
num_ratings
|
|||
reviews
|
|||
followers
|
Integer | 13 | |
total_liens_2020
|
|||
total_liens_2021
|
|||
total_liens_2022
|
|||
total_liens_2023
|
|||
protected_projects_12m_pct
|
Integer | 0 | |
protected_projects_state_average_pct
|
Integer | 21 | |
protected_projects_national_average_pct
|
Integer | 30 | |
unprotected_projects_12m_pct
|
Integer | 100 | |
unprotected_projects_state_average_pct
|
Integer | 72 | |
unprotected_projects_national_average_pct
|
Integer | 62 | |
slow_payments_12m_pct
|
Integer | 0 | |
slow_payments_state_average_pct
|
Integer | 1 | |
slow_payments_national_average_pct
|
Integer | 2 | |
projects_with_liens_12m_pct
|
Integer | 0 | |
projects_with_liens_state_average_pct
|
Integer | 6 | |
projects_with_liens_national_average_pct
|
Integer | 6 | |
projects
|
String | [{"type":" Construction","contractor":null,"house":4455,"... | |
payment_incidents_2020_pct
|
|||
payment_incidents_2021_pct
|
Integer | 0 | |
payment_incidents_2022_pct
|
Integer | 0 | |
payment_incidents_2023_pct
|
Integer | 0 | |
paid_within_15_days_pct
|
|||
paid_between_15_30_days_pct
|
|||
paid_within_31_60_days_pct
|
|||
paid_after_60_days_pct
|
|||
lien_value_lt_50k_pct
|
|||
lien_value_50k_250k_pct
|
|||
lien_value_250k_500k_pct
|
|||
lien_value_500k_1m_pct
|
|||
lien_value_gt_1m_pct
|
|||
popular_general_contractors
|
|||
popular_suppliers
|
|||
permit_value_lt_50k_pct
|
Integer | 0 | |
permit_value_50k_250k_pct
|
Integer | 100 | |
permit_value_250k_500k_pct
|
Integer | 0 | |
permit_value_500k_1m_pct
|
Integer | 0 | |
permit_value_gt_1m_pct
|
Integer | 0 | |
permits
|
String | [{"state":"Ohio","date":"2020-02-26","type":"Commercial",... | |
offices
|
String | [{"house":5033,"street":"N BND RD","city":"CINCINNATI","s... | |
licenses
|
|||
bonds
|
|||
workers_compensation
|
|||
news
|
Description
Geography
History
Volume
10 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 Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists?
Our dataset covers the majority of contractors in the United States including construction data for current projects and contractors. The attributes included are project history, permits, liens, project value, reviews, statistics on project timelines, and contact information.
What is CrawlBee Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists used for?
This product has 4 key use cases. CrawlBee recommends using the data for Advertising, Market Research, Analytics, and B2B Sales. Global businesses and organizations buy Construction Project Leads Data from CrawlBee to fuel their analytics and enrichment.
Who can use CrawlBee Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Construction Project Leads 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 Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists go?
This Tabular Data 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 Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists cover?
This product includes data covering 1 country like USA. CrawlBee is headquartered in United States of America.
How much does CrawlBee Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists cost?
Pricing information for CrawlBee Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists 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 Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists?
Businesses can buy Construction Project Leads 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 Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists?
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 3 reviews from clients.
What are similar products to CrawlBee Construction Data Construction Projects Lead Data USA Land Use and Company Contractor Lists?
This Tabular Data has 3 related products. These alternatives include List of 20M Construction companies worldwide, Forager.ai - Company Funding Data 61M Company Data Records Refreshed 2x/Mo 60M Updates/Mo Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery, and Biodiversity Footprint Data Nature ESG Data 14000+ Global Companies 7 Years Historical Data GIST Impact. You can compare the best Construction Project Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.