Let me know when the data is updated again

PERFORACIONES DE HASTA 65 CM DE LARGO

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-MXP150132

Total amount

326,656

Number of contracts

Buying unit

GERENCIA DE ADQUISICIONES Y CONTRATACIONES DE OBRA. belonging to FONATUR CONSTRUCTORA S.A. DE C.V. antes FONATUR BMO S.A. DE C.V.

PLANNING

No data

CALL FOR TENDERS

Government agency

FONATUR CONSTRUCTORA S.A. DE C.V. antes FONATUR BMO S.A. DE C.V.

Buying unit

GERENCIA DE ADQUISICIONES Y CONTRATACIONES DE OBRA.

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code MXP150132

Title

PERFORACIONES DE HASTA 65 CM DE LARGO

View contract

Supplier(s)

JORGE RAMÍREZ YAHUACA

Amount

326,656 pesos mexicanos

Award status

active

Signature date

1 de abril de 2015

Execution period

1 de abril de 2015 to 1 de abril de 2015

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

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-MXP150132")

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-MXP150132')   

                        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-MXP150132')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

PERFORACIONES DE HASTA 65 CM DE LARGO

RECORD SUMMARY ocds-0ud2q6-MXP150132

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences