United States (USA) Trade Data | Import-Export Data | B2B Leads Data | Company Data | Supply Chain Data
# | ARRIVAL DATE |
GROSS WEIGHT (LB) |
GROSS WEIGHT (KG) |
FOREIGN PORT |
US PORT |
VESSEL NAME |
MARKS & NUMBERS |
NO. OF CONTAINERS |
CONTAINER NUMBER |
CONTAINER TYPE |
QUANTITY |
QUANTITY UNIT |
MEASUREMENT |
MEASUREMENT UNIT |
BILL OF LADING |
HOUSE VS MASTER |
DISTRIBUTION PORT |
MASTER B/L |
VOYAGE NUMBER |
SEAL |
SHIP REGISTERED IN |
IN-BOND ENTRY TYPE |
CARRIER CODE |
CARRIER NAME |
CARRIER CITY |
CARRIER STATE |
CARRIER ADDRESS |
PLACE OF RECEIPT |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
3 | 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 | Xxxxxxx | xxxxx |
4 | 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 |
5 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
6 | 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 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx |
7 | 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 |
8 | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx |
9 | 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 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx |
10 | 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 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 107 BOXES ON 3 PLT AMSUEUR7151702085 MANIF ESTED107 PIECES | Product Description | |
String | NETAFIM IRRIGATION INC | Company Name | |
String | PLAST PROJECT SRL | Company Name | |
ARRIVAL DATE
|
String | 11/30/2019 | |
GROSS WEIGHT (LB)
|
Integer | 1857 | |
GROSS WEIGHT (KG)
|
Integer | 844 | |
FOREIGN PORT
|
String | Genova | |
US PORT
|
String | Los Angeles, California | |
VESSEL NAME
|
String | CAP JACKSON | |
String | Italy | Country Name | |
MARKS & NUMBERS
|
String | NETAFIM | |
String | 5470 E HOME AVE FRESNO CA 93727 US | Company Address | |
String | C.DA BORGHESIANA, SNC FRANCOFONTE 96015 IT X | Company Address | |
Integer | 93727 | ZIP Code | |
NO. OF CONTAINERS
|
Integer | 1 | |
CONTAINER NUMBER
|
String | SEGU5278293 | |
CONTAINER TYPE
|
String | 45G0 | |
QUANTITY
|
Integer | 107 | |
QUANTITY UNIT
|
String | PCS | |
MEASUREMENT
|
Integer | 0 | |
MEASUREMENT UNIT
|
String | ||
BILL OF LADING
|
String | UEUR7151702085 | |
HOUSE VS MASTER
|
String | H | |
DISTRIBUTION PORT
|
String | ||
MASTER B/L
|
String | ZIMUGOA426410 | |
VOYAGE NUMBER
|
String | V27W | |
SEAL
|
String | WWAIT23499 | |
SHIP REGISTERED IN
|
String | LIBERIA | |
IN-BOND ENTRY TYPE
|
String | ||
CARRIER CODE
|
String | UEUR | |
CARRIER NAME
|
String | UPS EUROPE SA | |
CARRIER CITY
|
String | BRUSSELS | |
CARRIER STATE
|
String | ||
Integer | 1200 | ZIP Code | |
CARRIER ADDRESS
|
String | AVENUE ARIANE 5 | |
String | -NOT AVAILABLE- | Company Name | |
String | -NOT AVAILABLE- | Company Address | |
PLACE OF RECEIPT
|
String | MILANO,IT |
Description
Geography
History
Volume
2.1 billion | records |
Pricing
License | Starts at |
---|---|
One-off purchase |
$5,000 / purchase |
Monthly License |
$5,000 / month |
Yearly License |
$10,000 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data?
ImportGenius provides shipment records, leads, and International Trade Data for imports and exports that pass through every port in the United States, Russia, India, and 15 other countries. Find leads or partners across any industry and identify attributes like demand and average deal volume.
What is United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data used for?
This product has 5 key use cases. ImportGenius recommends using the data for Lead Generation, Lead Scoring, Lead Validation, B2B Lead Retargeting, and B2B Sales. Global businesses and organizations buy B2B Leads Data from ImportGenius to fuel their analytics and enrichment.
Who can use United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads Data. Get in touch with ImportGenius to see what their data can do for your business and find out which integrations they provide.
How far back does the data in United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data go?
This Tabular Data has 5 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data cover?
This product includes data covering 18 countries like USA, India, Russia, Mexico, and Argentina. ImportGenius is headquartered in United States of America.
How much does United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data cost?
Pricing for United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data starts at USD5,000 per purchase. Connect with ImportGenius to get a quote and arrange custom pricing models based on your data requirements.
How can I get United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data?
Businesses can buy B2B Leads Data from ImportGenius and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, ImportGenius can deliver this product in .json, .xml, .csv, .xls, and .txt format.
What is the data quality of United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data?
ImportGenius has reported that this product has the following quality and accuracy assurances: 100% Legal Customs Data. You can compare and assess the data quality of ImportGenius using Datarade’s data marketplace.
What are similar products to United States (USA) Trade Data Import-Export Data B2B Leads Data Company Data Supply Chain Data?
This Tabular Data has 3 related products. These alternatives include Plugindata Customizable Global Trade Data by HS Code: 2.1 Billion Import-Export Records, Bill of Lading, and International Trade Insights, ImportGenius Trade Data Commercial Lead Data 2.1 billion records International Company Import Export Data Customs Data, and List of 20M Construction companies worldwide. You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.