Let me know when the data is updated again

Company in México

FLOWSERVE, S, DE RL. DE C.V.

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

187 contract as supplier for a total of 1.5 mil millones (1,502,141,043.729 ) between 1999 and 2017.

Annual evolution of contract

Procedure type

Main entities

GERENCIA DE RECURSOS MATERIALES. ( from PEMEX REFINACIÓN (Ahora Pemex Transformación Industrial). )

GERENCIA DE REFINERÍA TULA. ( from PEMEX REFINACIÓN (Ahora Pemex Transformación Industrial). )

GERENCIA DE REFINERÍA CADEREYTA. ( from PEMEX REFINACIÓN (Ahora Pemex Transformación Industrial). )

Largest contract

Sellos juntas empaq.

ESTUDIOS TECNICOS PAGADOS A TERCEROS

MODIF. Y REACOND. DE EQUIPOS INDUSTRIALES Y MAQUINARIA

See all contract of this supplier

Location

Country

GENERAL INFORMATION

Alternative names

FLOWSERVE S. DE R.L. DE C.V.
FLOWSERVE S. de R.L. de C.V.
FLOWSERVE S DE R.L. DE C.V.
FLOWSERVE. S. DE R.L DE C.V.

Date updated in QQW

9 de mayo de 2021

Source(s)

CompraNet 3.0 , Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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.

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=flowserve-s-de-rl-de-cv")

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