Let me know when the data is updated again

Company in México

GRUPO CONSTRUCTOR ROCAS 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

4 contract as supplier for a total of 3.6 millones (3,618,776.188 ) between 2014 and 2018.

Annual evolution of contract

Procedure type

Main entities

Municipio de Jocotitlán ( from Presidencia Municipal de Jocotitlán )

DIRECCION DE DESARROLLO URBANO, ECOLOGIA Y OBRAS PUBLICAS ( from Presidencia Municipal de Ixtlahuaca )

Largest contract

AMPLIACION DEL CENTRO DE SALUD, SAN MIGUEL TENOCHTITLAN

REHABILITACION CON CONCRETO HIDRAULICO, GUARNICIONES, BANQUETAS, AGUA POTABLE Y DRENAJE DE LA CALLE MORELOS EN LA CABECERA MUNICIPAL

REHABILITACION CON CONCRETO HIDRAULICO, AGUA POTABLE Y DRENAJE DE LA CALLE JESUS CARDOSO EN LA CABECERA MUNICIPAL

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Entity type

profit

Identifiers

RFC: GCR090406S30

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=grupo-constructor-rocas-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=grupo-constructor-rocas-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=grupo-constructor-rocas-sa-de-cv')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

GRUPO CONSTRUCTOR ROCAS 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