Let me know when the data is updated again

Expediente

Homogenizador

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-0ud2q6-20143050-030-09

Total amount

3.9 millones (3,850,000 )

Number of contracts

Buying unit

Gerencia Metropolitana Sur en Valle de Chalco, Estado de México belonging to LICONSA, S.A. DE C.V.

PLANNING

No data

CALL FOR TENDERS

Government agency

LICONSA, S.A. DE C.V.

Buying unit

Gerencia Metropolitana Sur en Valle de Chalco, Estado de México (Code: 20143050 )

Call type

Invitacion a 3 (limited)

Scope

Internacional

Purchase type

Adquisiciones (goods)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 9GMS-414-PI

Title

Homogenizador

View contract

Supplier(s)

PITS, PROCESS AND INDUSTRIAL TECHNICAL SUPPORT, S.A. DE C.V.

Amount

3.9 millones pesos mexicanos (3,850,000 MXN)

Award status

active

Signature date

27 de agosto de 2009

Execution period

27 de agosto de 2009 to Fecha desconocida

Official documents

See awardNotice 1 on official site web.compranet.gob.mx:8000

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

CompraNet 3.0

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-0ud2q6-20143050-030-09")

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-0ud2q6-20143050-030-09')   

                        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-0ud2q6-20143050-030-09')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

Homogenizador

RECORD SUMMARY ocds-0ud2q6-20143050-030-09

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences