Let me know when the data is updated again

Expediente

SUMINISTRO DE COMBUSTIBLE Y LUBRICANTES

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-MICH-PSG/1337/2008

Total amount

187,007.9

Number of contracts

Buying unit

GERENCIA DE SUCURSAL TAMAULIPAS belonging to DICONSA S.A. DE C.V.

PLANNING

No data

CALL FOR TENDERS

Government agency

DICONSA S.A. DE C.V.

Buying unit

GERENCIA DE SUCURSAL TAMAULIPAS

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code MICH-PSG/1337/2008

Title

SUMINISTRO DE COMBUSTIBLE Y LUBRICANTES

View contract

Supplier(s)

SUPER SERVICIO TORRES S.A. DE C.V.

Amount

187,007.9 pesos mexicanos

Award status

active

Signature date

14 de mayo de 2008

Execution period

14 de abril de 2008 to 31 de diciembre de 2008

Official documents

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

This contract is (terminated)
This contract is an extension, or has corrections or amendments

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-MICH-PSG%2F1337%2F2008")

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-MICH-PSG%2F1337%2F2008')   

                        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-MICH-PSG%2F1337%2F2008')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

SUMINISTRO DE COMBUSTIBLE Y LUBRICANTES

RECORD SUMMARY ocds-0ud2q6-MICH-PSG/1337/2008

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences