Let me know when the data is updated again

Expediente

Concreto asfáltico

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-0ud2q6-21353014-082-08

Total amount

5.4 millones (5,448,630 )

Number of contracts

Buying unit

Gerencia General de la Sucursal Cancún belonging to FONATUR BMO S.A. DE C.V.

PLANNING

No data

CALL FOR TENDERS

Government agency

FONATUR BMO S.A. DE C.V.

Buying unit

Gerencia General de la Sucursal Cancún (Code: 21353014 )

Call type

Adjudicacion Directa (direct)

Scope

Nacional

Purchase type

Adquisiciones (goods)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code CAP081483

Title

Concreto asfáltico

View contract

Supplier(s)

AEIYUC, S.A. DE C.V.

Amount

5.4 millones pesos mexicanos (5,448,630 MXN)

Award status

active

Signature date

1 de octubre de 2008

Execution period

1 de octubre de 2008 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-0ud2q6-21353014-082-08")

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-0ud2q6-21353014-082-08')   

                        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-0ud2q6-21353014-082-08')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

Concreto asfáltico

RECORD SUMMARY ocds-0ud2q6-21353014-082-08

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences