Let me know when the data is updated again

Expediente

SERVICIO DE ASESORIA

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-0ud2q6-20120001-012-06

Total amount

150,000

Number of contracts

Buying unit

Dirección General Adjunta de Administración belonging to COMISIÓN NACIONAL DE FOMENTO A LA VIVIENDA

PLANNING

No data

CALL FOR TENDERS

Government agency

COMISIÓN NACIONAL DE FOMENTO A LA VIVIENDA

Buying unit

Dirección General Adjunta de Administración (Code: 20120001 )

Call type

Adjudicacion Directa (direct)

Scope

Nacional

Purchase type

Servicios (services)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code AD42/SP/A00/076/2005

Title

SERVICIO DE ASESORIA

View contract

Supplier(s)

MARIA ISABEL SPECIA CABRERA

Amount

150,000 pesos mexicanos

Award status

active

Signature date

1 de agosto de 2005

Execution period

1 de agosto de 2005 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-0ud2q6-20120001-012-06")

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-0ud2q6-20120001-012-06')   

                        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-0ud2q6-20120001-012-06')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

SERVICIO DE ASESORIA

RECORD SUMMARY ocds-0ud2q6-20120001-012-06

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences