Let me know when the data is updated again

Company in México

INGENIERIA EXPERIMENTAL

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

14 contract as supplier for a total of 30.1 millones (30,075,661.281 ) between 2011 and 2020.

Annual evolution of contract

Procedure type

Main entities

AGRS ACRM Administración de Recursos Materiales ( from Servicio de Administración Tributaria )

Dirección General de Obras Públicas ( from Secretaría de Obras y Servicios )

ACRM Administración de Recursos Materiales 2 ( from Servicio de Administración Tributaria )

Largest contract

Mantenimiento y reparación urgente a puente vehicular

CO-300-PEF-LP-A-001/20

Operación de 118 pozos de inyección y extrac de agua y mixtos, Conjunto Hidalgo

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Identifiers

RUPC: 142334

RFC: IEX660815RH1

Date updated in QQW

24 de enero 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=ingenieria-experimental")

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=ingenieria-experimental')   

                        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=ingenieria-experimental')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

INGENIERIA EXPERIMENTAL

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