Let me know when the data is updated again

Company in México

CONSTRUCCIONES MJCA 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 3.5 millones (3,471,705.5 ) between 2017 and 2018.

Annual evolution of contract

Procedure type

Main entities

Dirección de Obras Públicas ( from Presidencia Municipal de San Salvador el Seco )

DIRECCIÓN DE OBRAS PUBLICAS ( from Presidencia Municipal de Acatzingo )

Largest contract

ADOQUINAMIENTO DE LA CALLE 14 PONIENTE ENTRE 9 NORTE Y AV. FERROCARRIL (PRIMERA ETAPA)

ADOQUINAMIENTO DE LA CALLE 15 SUR Y 3 PONIENTE Y CALLE 7 PONIENTE

ADOQUINAMIENTO DE LA CALLE 13 SUR ENTRE 11 Y 13 PONIENTE EN LA LOCALIDAD DE SAN

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Entity type

profit

Identifiers

RFC: CMJ1501237P3

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=construcciones-mjca-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=construcciones-mjca-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=construcciones-mjca-sa-de-cv')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

CONSTRUCCIONES MJCA 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