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MATERIALESPUE S DE RL DE CV

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Summary of contract activity as supplier

1 contract as supplier for a total of 1.1 millones (1,142,204.375 ) between 2020 and 2020.

Annual evolution of contract

Procedure type

Main entities

Residencia General de Carreteras Alimentadoras, Subdirección de Obras ( from Secretaría de Infraestructura, Comunicaciones y Transportes )

Largest contract

RECONSTRUCCION DEL CAMINO: RIO RAMAL - RANCHO HORMIGA, DEL KM 0+000 AL KM 8+600, EN EL ESTADO DE OAXACA.

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Entity type

profit

Identifiers

RFC: MAT1807168E2

Date updated in QQW

14 de noviembre de 2021

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.

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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=materialespue-s-de-rl-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=materialespue-s-de-rl-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=materialespue-s-de-rl-de-cv')

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MATERIALESPUE S DE RL 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

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