Let me know when the data is updated again

Expediente

REPARACION CONSERVACION Y MANTTO DE PLANTAS E INSTALACIONES DE PRODUCCION COMPRESION Y ALMACENAMIENTO

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-0ud2q6-4500448772

Total amount

3.2 millones (3,213,255.24 )

Number of contracts

Buying unit

GERENCIA DE REFINERÍA TULA. belonging to PEMEX REFINACIÓN (Ahora Pemex Transformación Industrial).

PLANNING

No data

CALL FOR TENDERS

Government agency

PEMEX REFINACIÓN (Ahora Pemex Transformación Industrial).

Buying unit

GERENCIA DE REFINERÍA TULA.

Call type

LICITACION PUBLICA NACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 4500448772

Title

REPARACION CONSERVACION Y MANTTO DE PLANTAS E INSTALACIONES DE PRODUCCION COMPRESION Y ALMACENAMIENTO

View contract

Supplier(s)

SERCOPSA S A DE C V

Amount

3.2 millones pesos mexicanos (3,213,255.24 MXN)

Award status

active

Signature date

15 de noviembre de 2012

Execution period

27 de octubre de 2015 to 5 de diciembre de 2012

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-0ud2q6-4500448772")

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-0ud2q6-4500448772')   

                        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-0ud2q6-4500448772')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

REPARACION CONSERVACION Y MANTTO DE PLANTAS E INSTALACIONES DE PRODUCCION COMPRESION Y ALMACENAMIENTO

RECORD SUMMARY ocds-0ud2q6-4500448772

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences