Let me know when the data is updated again

Expediente

1.- Servicio de envasado de frijol y azúcar_x000D_ 2.- Servicio de elaboración de despensas

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-0ud2q6-20152001-002-03

Total amount

1 millones (1,026,720 )

Number of contracts

Buying unit

Gerencia de Sucursal belonging to DICONSA S.A. DE C.V. SUCURSAL ESTATAL HIDALGO

PLANNING

No data

CALL FOR TENDERS

Government agency

DICONSA S.A. DE C.V. SUCURSAL ESTATAL HIDALGO

Buying unit

Gerencia de Sucursal (Code: 20152001 )

Call type

Licitación Pública (open)

Scope

Nacional

Purchase type

Servicios (services)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code DRM/CON/03/2004

Title

1.- Servicio de envasado de frijol y azúcar_x000D_ 2.- Servicio de elaboración de despensas

View contract

Supplier(s)

HERMINIO VERDEJO REBOLLO

Amount

1 millones pesos mexicanos (1,026,720 MXN)

Award status

active

Signature date

1 de enero de 2004

Execution period

1 de enero de 2004 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-0ud2q6-20152001-002-03")

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-0ud2q6-20152001-002-03')   

                        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-0ud2q6-20152001-002-03')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

1.- Servicio de envasado de frijol y azúcar_x000D_ 2.- Servicio de elaboración de despensas

RECORD SUMMARY ocds-0ud2q6-20152001-002-03

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences