Let me know when the data is updated again

Company in México

AS, S,A, DE C,V,

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

13 contract as supplier for a total of 3 millones (3,033,963.457 ) between 2003 and 2006.

Annual evolution of contract

Procedure type

Main entities

Subadministración de Innovación y Calidad en Guadalajara Sur, Jalisco ( from SERVICIO DE ADMINISTRACIÓN TRIBUTARIA )

Gerencia de Recursos Financieros y Materiales ( from COMISIÓN NACIONAL FORESTAL )

Subdirección Administrativa de la Dirección Regional de Occidente ( from FONDO DE GARANTÍA Y FOMENTO PARA LA AGRICULTURA, GANADERÍA Y AVICULTURA )

Largest contract

Materiales y utiles de oficina, de impresión y reproducción

ADQUISICION DE PAPELERIA Y TONNER´S

Materiales y Útiles para el Procesamiento en Equipo y Bienes Informáticos.

See all contract of this supplier

Location

Country

GENERAL INFORMATION

Alternative names

AS, S.A. DE C.V.

Date updated in QQW

9 de mayo de 2021

Source(s)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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.

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=as-sa-de-cv")

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=as-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=as-sa-de-cv')