Let me know when the data is updated again

Expediente

Plantas de proceso

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-0ud2q6-4500490736

Total amount

2.7 millones (2,693,000 )

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 INTERNACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 4500490736

Title

Plantas de proceso

View contract

Supplier(s)

SIVALCO S A DE C V

Amount

2.7 millones pesos mexicanos (2,693,000 MXN)

Award status

active

Signature date

18 de octubre de 2013

Execution period

18 de octubre de 2013 to 12 de febrero de 2013

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-0ud2q6-4500490736")

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-0ud2q6-4500490736')   

                        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-0ud2q6-4500490736')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

Plantas de proceso

RECORD SUMMARY ocds-0ud2q6-4500490736

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences