Live Brazil Export Data by HS Code 52 for Brazil Exports via Qingdao liuting international apt . Our Brazil Export Bill of Lading Data and Brazil Export Data by HS Code or country include HS code, date, B/L number, product description, loading and unloading ports, Brazil importer/exporter name, quantity, etc.
Date |
HS Code |
Product Description |
Destination Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
December 13, 2021 |
52010020 |
2 X 40 Containers Containing 208 Bales Of Brazil Raw Cotton |
China | Qingdao Liuting International Apt |
47480 |
kgm |
47480 |
Exporter Name |
|
December 23, 2021 |
52010020 |
12 X 40 Containers Containing 1405 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
294856 |
kgm |
294856 |
Exporter Name |
|
December 23, 2021 |
52010020 |
12 X 40 Containers Containing 1423 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
291312 |
kgm |
291312 |
Exporter Name |
|
December 23, 2021 |
52010020 |
1 X 40 Containers Containing 106 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
23167 |
kgm |
23167 |
Exporter Name |
|
December 23, 2021 |
52010020 |
10 X 40 Containers Containing 1066 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
252014.02 |
kgm |
252014.02 |
Exporter Name |
|
December 23, 2021 |
52010020 |
11 X 40 Containers Containing 1237 Bales Of Brazilian Raw Cotton-B.c.i |
China | Qingdao Liuting International Apt |
270366 |
kgm |
270366 |
Exporter Name |
|
December 23, 2021 |
52010020 |
12 X 40 Containers Containing 1320 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
298429 |
kgm |
298429 |
Exporter Name |
|
December 23, 2021 |
52010000 |
8 X 40 Containers Containing 843 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
194961 |
kgm |
194961 |
Exporter Name |
|
December 19, 2021 |
52010020 |
5 X 40 Containers Containing 505 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
116353 |
kgm |
116353 |
Exporter Name |
|
December 19, 2021 |
52010020 |
12 X 40 Containers Containing 1284 Bales Of Brazilian Raw Cotton |
China | Qingdao Liuting International Apt |
288920 |
kgm |
288920 |
Exporter Name |
2021-12-13 00:00:00
2 X 40 Containers Containing 208 Bales Of Brazil Raw Cotton
47480
kgm
47480
2021-12-23 00:00:00
12 X 40 Containers Containing 1405 Bales Of Brazilian Raw Cotton
294856
kgm
294856
2021-12-23 00:00:00
12 X 40 Containers Containing 1423 Bales Of Brazilian Raw Cotton
291312
kgm
291312
2021-12-23 00:00:00
1 X 40 Containers Containing 106 Bales Of Brazilian Raw Cotton
23167
kgm
23167
2021-12-23 00:00:00
10 X 40 Containers Containing 1066 Bales Of Brazilian Raw Cotton
252014.02
kgm
252014.02
2021-12-23 00:00:00
11 X 40 Containers Containing 1237 Bales Of Brazilian Raw Cotton-B.c.i
270366
kgm
270366
2021-12-23 00:00:00
12 X 40 Containers Containing 1320 Bales Of Brazilian Raw Cotton
298429
kgm
298429
2021-12-23 00:00:00
8 X 40 Containers Containing 843 Bales Of Brazilian Raw Cotton
194961
kgm
194961
2021-12-19 00:00:00
5 X 40 Containers Containing 505 Bales Of Brazilian Raw Cotton
116353
kgm
116353
2021-12-19 00:00:00
12 X 40 Containers Containing 1284 Bales Of Brazilian Raw Cotton
288920
kgm
288920
The data provides shipment details such as export date, quantity, product description, HS code, port information, country of origin, and details of Brazil-based exporters.
It enables companies to monitor trade activities through Port qingdao liuting international apt, analyze market trends, identify active buyers or suppliers, and understand product flow under HS Code 52.
Yes. The database offers recent or frequently updated information, ensuring businesses have current insights into HS Code 52 exports arriving through this port.
Absolutely. The database includes detailed exporter information, allowing businesses to identify potential buyers or suppliers of HS Code 52 products entering Brazil through this port.
Manufacturers, traders, importers, exporters, market researchers, and supply chain planners can use this data to make informed decisions, optimize trade strategies, and better understand port-specific trade movements.
