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Company in México

COMPASS MARITIME SERVICES, LLC

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Summary of contract activity as supplier

4 contract as supplier for a total of 60,214.6 between 2010 and 2011.

Annual evolution of contract

Procedure type

Main entities

Subgerencia de Adquisiciones ( from PEMEX PETROQUÍMICA )

GERENCIA DE RECURSOS MATERIALES. ( from PEMEX REFINACIÓN (Ahora Pemex Transformación Industrial). )

AUDITORÍA DE SEGURIDAD INDUSTRIAL Y PROTECCIÓN AMBIENTAL. ( from PEMEX REFINACIÓN (Ahora Pemex Transformación Industrial). )

Largest contract

PAGO DE HONORARIOS POR EL SERVICIO COTIZACION DE FLETAMENTO POR TIEMPO PARA EL TRANSPORTE MARITIMO DE AMONIACO ANHIDRO

HONORARIOS POR SERVICIOS TECNICOS

HONORARIOS POR SERVICIOS TECNICOS

See all contract of this supplier

Location

Country

GENERAL INFORMATION

Alternative names

COMPASS MARITIME SERVICES LLC

Date updated in QQW

9 de mayo de 2021

Source(s)

CompraNet 3.0 , Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=compass-maritime-services-llc")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=compass-maritime-services-llc')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=compass-maritime-services-llc')