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PRODUCTOS ALIMENTICIOS PARA PERSONAL

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RECORD SUMMARY ocds-0ud2q6-1008

Total amount

36,415

Number of contracts

1

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES Y SERVICIOS GENERALES. belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES Y SERVICIOS GENERALES.

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 1008

Title

PRODUCTOS ALIMENTICIOS PARA PERSONAL

View contract

Supplier(s)

SEGURISK AGENTE DE SEGUROS Y FIANZAS S.A DE C.V. ,

OLIVARES MARTINEZ MARIA ELENA ,

CONTROLADORA MARISCAL MOTORS S.A. DE C.V. ,

TRANSPORTE ESCOLAR Y DE PERSONAL OLIVER S.A. DE C.V. ,

FCD LABS S.A. DE C.V. ,

Ingeniería al Servicio de la Salud S.A. De C.V. ,

QUIMIBELL S.A. DE C.V. ,

LEONARDO LÓPEZ GONZÁLEZ ,

Mercaderia Moderna S.A. de C.V. ,

José Gómez Camacho S.A. ,

ALIMENTOS LA PALOMA S A DE C V

Amount

36,415 pesos mexicanos

Award status

active

Signature date

25 de mayo de 2016

Execution period

25 de mayo de 2016 to 27 de junio de 2016

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.insp.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-1008")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-1008')   

                        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/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-1008')