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Todas

List of 2.1 millones from purchase, empresas, proveedores, material médico, artículos de consumo, ropa y telas, medicinas y vacunas, mobiliario, instituciones públicas, funcionarios in 40 geographic areas.

GRUPO INMOBILIARIO REAL DEL BOSQUE SA DE CV

Supplier in 11 purchase(s) for a total of 45.9 millones (45,931,192.68 )

Supplier in 51 contract(s) for a total of 786.6 millones (786,610,654.47 )

DICLOFENACO

148 purchases (175.2 millones units) for a total of 829 millones pesos mexicanos (828,995,166.05 MXN) between 2013 and 2018

Average price : 4.73 pesos mexicanos

Cápsula o gragea de liberación prolongada. Cada gragea contiene: Diclofenaco sódico 100 mg

APPLIED BIOSYSTEMS DE MEXICO S DE RL DE CV

Supplier in 6 purchase(s) for a total of 1.1 millones (1,083,923.42 )

Supplier in 1,845 contract(s) for a total of 774.8 millones (774,809,797.957 )

SIROLIMUS

1,028 purchases (338,228 units) for a total of 826.3 millones pesos mexicanos (826,251,285.99 MXN) between 2009 and 2019

Average price : 2,442.9 pesos mexicanos

Gragea o tableta. Cada gragea o tableta contiene: Sirolimus 1 mg

GALAZ, YAMAZAKI, RUIZ URQUIZA, S. C.

Supplier in 2 purchase(s) for a total of 1.6 millones (1,621,332 )

Supplier in 364 contract(s) for a total of 773.1 millones (773,141,907.933 )

CORPORATIVO GIORMAR DE MEXICO SA DE CV

Supplier in 30 purchase(s) for a total of 6.5 millones (6,535,504.31 )

Supplier in 54 contract(s) for a total of 771.7 millones (771,687,290.462 )

GRUPO EOLICA SA DE CV

Supplier in 26 purchase(s) for a total of 6.8 millones (6,781,323.97 )

Supplier in 1,087 contract(s) for a total of 771.5 millones (771,492,959.356 )

HOSPITAL Y CLINICA OCA SA DE CV

Supplier in 56 purchase(s) for a total of 37.1 millones (37,108,120.98 )

Supplier in 491 contract(s) for a total of 770.5 millones (770,475,411.614 )

PAÑALES

3,680 purchases (227.6 millones units) for a total of 821.2 millones pesos mexicanos (821,207,249.06 MXN) between 2008 and 2018

Average price : 3.11 pesos mexicanos

PAYALES PREDOBLADOS, DESECHABLES, PARA ADULTOS.

CODEQUIM SA DE CV

Supplier in 23 purchase(s) for a total of 24.8 millones (24,829,721.01 )

Supplier in 58 contract(s) for a total of 765.9 millones (765,855,575.46 )

Compras Oficinas Centrales

México IMSS: Oficinas Centrales Almacen De Programas Especiales Y Red Fria

SEGUROS BANORTE GENERALI, S.A. DE C.V.

1 mil millones de pesos mexicanos (1,020,800,464 MXN)

01/01/2017 to 31/12/2018

Licitación pública

PAN ROL, SA DE CV

Supplier in 327 purchase(s) for a total of 400.8 millones (400,774,732.94 )

Supplier in 462 contract(s) for a total of 765.3 millones (765,265,363.769 )

LINOS CONSTRUCCIONES SA DE CV

Supplier in 38 purchase(s) for a total of 173.2 millones (173,219,958.17 )

Supplier in 68 contract(s) for a total of 764.6 millones (764,647,802.38 )

ENSAYOS Y TAMIZAJES DE MEXICO SA DE CV

Supplier in 552 purchase(s) for a total of 246.9 millones (246,926,759.24 )

Supplier in 518 contract(s) for a total of 761.4 millones (761,406,285.21 )

LABORATORIOS DIAGNOMOL SA DE CV

Supplier in 25 purchase(s) for a total of 203.5 millones (203,458,372.74 )

Supplier in 176 contract(s) for a total of 760 millones (759,992,945.096 )

Instrumentación Médica, S.A. de C.V.

Supplier in 247 purchase(s) for a total of 25.9 millones (25,878,958.14 )

Supplier in 798 contract(s) for a total of 759.8 millones (759,791,583.304 )

PROFESIONALES DE EQUIPO MEDICO SA DE CV

Supplier in 84 purchase(s) for a total of 263.6 millones (263,577,713.21 )

Supplier in 243 contract(s) for a total of 758.8 millones (758,834,456.477 )

CAROLINA CORDOVA RASCON

Buyer in 652 contract(s) for a total of 1.1 mil millones (1,098,185,249.142 )

CONFECCIONES ISAAC,S.A. DE C.V.

Supplier in 24 purchase(s) for a total of 18.4 millones (18,367,334.41 )

Supplier in 120 contract(s) for a total of 753.9 millones (753,937,538.52 )

Lava Tap de Chiapas S.A de C.V.

Supplier in 29 purchase(s) for a total of 16.3 millones (16,300,562.65 )

Supplier in 535 contract(s) for a total of 751.7 millones (751,747,055.869 )

AGALSIDASA BETA

23 purchases (16,975 units) for a total of 801.1 millones pesos mexicanos (801,111,663.52 MXN) between 2010 and 2018

Average price : 47,193.6 pesos mexicanos

Solución Inyectable. Cada frasco ámpula con polvo o liofilizado contiene: Agalsidasa beta 35 mg

TOALLAS DE PAPEL PARA SECADO DE MANOS

2,404 purchases (3 millones units) for a total of 800.4 millones pesos mexicanos (800,372,112.86 MXN) between 2012 and 2019

Average price : 228.4 pesos mexicanos

DE TRES PANELES, INTERDOBLADAS, COLOR BLANCO, ACABADO GROFADO, HOJA SENCILLA CARACTERISTICAS DE CADA HOJA: DIMENSION CORTA EXTENDIDA 217 MM A 240 MM, DIMENSION LARGA EXTENDIDA 225 MM A

DISTRIBUIDORA MEDICA LUNA SA DE CV

Supplier in 127 purchase(s) for a total of 24.7 millones (24,731,121.11 )

Supplier in 113 contract(s) for a total of 747.6 millones (747,559,538.886 )

Instituto Nacional de Ciencias Penales

Supplier in 9 purchase(s) for a total of 2.7 millones (2,652,893.6 )

Supplier in 36 contract(s) for a total of 10.9 millones (10,922,416.56 )

Buyer in 13,784 contract(s) for a total of 1.1 mil millones (1,084,245,549.825 )

ERGONOMIA PRODUCTIVIDAD SA DE CV

Supplier in 554 purchase(s) for a total of 53.5 millones (53,532,190.64 )

Supplier in 944 contract(s) for a total of 743.2 millones (743,169,219.346 )

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RESULTS PER PAGE

Sources of the results:

comprasimss : 2.1 millones
cbmei : 20,033
CompraNet (Plus) : 9,400
CompraNet 3.0 : 6,310
Portal de Obligaciones de Transparencia (POT) : 6,085
Torre de Control : 28
SICOP (Costa Rica) : 3
Mujeres en la Bolsa 2020 : 2
Mujeres en la Bolsa 2019 : 1

At QuiénEsQuién.Wiki we use data provided by government and stock market entities, or data that has been thoroughly investigated by Civil Society Organizations. You can find more information about our sources here.

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 Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        data <- fromJSON(file="http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=525&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        response = urllib2.urlopen('http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=525&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-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 Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        df = pd.read_json('http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=525&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv')