Let me know when the data is updated again

BUDORA SA DE CV

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?

Summary of contract activity as supplier

15 contract as supplier for a total of 6.8 millones (6,751,661 ) between 2019 and 2020.

Annual evolution of contract

Procedure type

Main entities

Subdirección de Recursos Materiales ( from Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional )

Dirección de Recursos Materiales ( from Banco del Bienestar, S.N.C., I.B.D. )

Largest contract

FUMIGACION DEL ARBOLADO DEL CENTRO

SERVICIO DE MANTENIMIENTO A INMUEBLE

SERVICIO DE IMPERMEABILIZACION Y CAMBIO DE MODULOS

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Entity type

profit

Identifiers

RFC: BUD1608012L2

Date updated in QQW

18 de septiembre de 2019

Source(s)

CompraNet (Plus)

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/companies?limit=1&sort=&embed=true&db_prefix=&id=budora-sa-de-cv")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=budora-sa-de-cv')   

                        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/companies?limit=1&sort=&embed=true&db_prefix=&id=budora-sa-de-cv')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

BUDORA SA DE CV

Summary of contract activity as supplier

Annual evolution of contract

Procedure type

Main entities

Largest contract

Location

GENERAL INFORMATION

Import and use data

Customize cookie preferences