Let me know when the data is updated again

Expediente

SUMINISTRO DE ALIMENTOS Y ABARROTES COMO MATERIA PRIMA Y ARTÍCULOS DE LIMPIEZA

SHARE

The copied or shared URL is the exact current page, including any filters applied if you are in the search.
REPORT

What do you want to report?

RECORD SUMMARY ocds-0ud2q6-FOP/HDIL/AD/003/15

Total amount

250,900.3

Number of contracts

Buying unit

SUBDIRECCIÓN DE ESCALAS NAUTICAS belonging to FONATUR OPERADORA PORTUARIA S.A. DE C.V.

PLANNING

No data

CALL FOR TENDERS

Government agency

FONATUR OPERADORA PORTUARIA S.A. DE C.V.

Buying unit

SUBDIRECCIÓN DE ESCALAS NAUTICAS

Call type

OTROS

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code FOP/HDIL/AD/003/15

Title

SUMINISTRO DE ALIMENTOS Y ABARROTES COMO MATERIA PRIMA Y ARTÍCULOS DE LIMPIEZA

View contract

Supplier(s)

MARCIAL FLORES CASTRO

Amount

250,900.3 pesos mexicanos

Award status

active

Signature date

11 de diciembre de 2015

Execution period

24 de febrero de 2015 to 29 de febrero de 2016

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.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

PODER

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.

R (json)

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-FOP%2FHDIL%2FAD%2F003%2F15")

Python (json)

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-FOP%2FHDIL%2FAD%2F003%2F15')   

                        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-FOP%2FHDIL%2FAD%2F003%2F15')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

SUMINISTRO DE ALIMENTOS Y ABARROTES COMO MATERIA PRIMA Y ARTÍCULOS DE LIMPIEZA

RECORD SUMMARY ocds-0ud2q6-FOP/HDIL/AD/003/15

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences