Let me know when the data is updated again

Company in México

CONSTRUCTORA FIDMAN 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

1 contract as supplier for a total of 1.7 millones (1,653,288.75 ) between 2022 and 2022.

Annual evolution of contract

Procedure type

Main entities

Dirección General de Carreteras ( from Secretaría de Infraestructura, Comunicaciones y Transportes )

Largest contract

ELABORACIÓN DE LOS ESTUDIOS Y PROYECTOS DE INGENIERÍA DE: 1.- PUENTE VEHICULAR "PIEDRA DE VELIANO", UBICADO EN EL KM. 6+600, SOBRE EL CAMINO PETATLÁN - PIEDRA DE VELIANO - EL CAMALOTE - LLANOS DE LA PUERTA - LA HORQUETA - OCOTE PEREGRINO - LA CIÉNEGA, CON

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Entity type

profit

Identifiers

RFC: CFI151107F73

Date updated in QQW

30 de septiembre de 2022

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=constructora-fidman-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=constructora-fidman-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=constructora-fidman-sa-de-cv')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

CONSTRUCTORA FIDMAN 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