Let me know when the data is updated again

Expediente

Sustituciýn de 1,500 Tomas Domiciliarias

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-0ud2q6-61101002-059-08

Total amount

5.1 millones (5,076,462.89 )

Number of contracts

Buying unit

Gerencia de Planeación belonging to COMISIÓN ESTATAL DE AGUA POTABLE Y ALCANTARILLADO DE ZACATECAS

PLANNING

No data

CALL FOR TENDERS

Government agency

COMISIÓN ESTATAL DE AGUA POTABLE Y ALCANTARILLADO DE ZACATECAS

Buying unit

Gerencia de Planeación (Code: 61101002 )

Call type

Licitación Pública (open)

Scope

Nacional

Purchase type

Obra Publica (works)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code APAZU2008ZAC045LP

Title

Sustituciýn de 1,500 Tomas Domiciliarias

View contract

Supplier(s)

ING. HECTOR RAMIREZ IBARRA

Amount

5.1 millones pesos mexicanos (5,076,462.89 MXN)

Award status

active

Signature date

10 de abril de 2009

Execution period

10 de abril 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-0ud2q6-61101002-059-08")

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-0ud2q6-61101002-059-08')   

                        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-0ud2q6-61101002-059-08')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

Sustituciýn de 1,500 Tomas Domiciliarias

RECORD SUMMARY ocds-0ud2q6-61101002-059-08

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences