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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.

BIOMEDIKAL INSTRUMENTS, S.A. DE C.V.

Supplier in 46 purchase(s) for a total of 48.3 millones (48,297,299.76 )

Supplier in 164 contract(s) for a total of 210.6 millones (210,594,129.185 )

ESPEJO

1,294 purchases (54.6 millones units) for a total of 224.5 millones pesos mexicanos (224,487,399.26 MXN) between 2009 and 2019

Average price : 3.55 pesos mexicanos

ESPEJOS VAGINAL DESECHABLE, MEDIANO, VALVA SUPERIOR DE 10.7 CM VALVA INFERIOR DE 12.0 CM ORIFICIO CENTRAL DE 3.4 CM.

ROOST CONTROL DE PLAGAS Y SERVICIOS SA DE CV

Supplier in 3 purchase(s) for a total of 3.6 millones (3,571,250.62 )

Supplier in 156 contract(s) for a total of 210.3 millones (210,285,891.623 )

NUTRICION Y FARMACIAS, S.A. DE C.V.

Supplier in 581 purchase(s) for a total of 142.6 millones (142,638,137.58 )

Supplier in 235 contract(s) for a total of 210.2 millones (210,176,551.86 )

FACTOR VIII RECOMBINANTE

75 purchases (96,580 units) for a total of 224.1 millones pesos mexicanos (224,104,078.42 MXN) between 2010 and 2018

Average price : 2,320.4 pesos mexicanos

Solución Inyectable. Cada frasco ámpula con liofilizado contiene: Factor VIII recombinante 250 UI

TRANSPAIS UNICO, S.A. DE C.V.

Supplier in 81 purchase(s) for a total of 180 millones (180,030,579.29 )

Supplier in 242 contract(s) for a total of 209.7 millones (209,681,300.512 )

HUFRA DISTRIBUIDORA DE PRODUCTOS SA DE CV

Supplier in 59 purchase(s) for a total of 215.9 millones (215,947,037.36 )

Supplier in 31 contract(s) for a total of 209.5 millones (209,520,226.9 )

FUJIFILM DE MEXICO SA DE CV

Supplier in 325 purchase(s) for a total of 28.2 millones (28,237,719.71 )

Supplier in 169 contract(s) for a total of 209.5 millones (209,508,658.3 )

PARACETAMOL

656 purchases (65.1 millones units) for a total of 223.4 millones pesos mexicanos (223,400,333.41 MXN) between 2009 and 2018

Average price : 3.43 pesos mexicanos

Solucion oral. cada ml contiene: paracetamol 100 mg

PROYECTO CIVIL INTEGRAL, S. A. DE C. V.

Supplier in 1 purchase(s) for a total of 1.6 millones (1,614,894.11 )

Supplier in 197 contract(s) for a total of 209.4 millones (209,376,283.82 )

PROMECA SA DE CV

Supplier in 871 purchase(s) for a total of 103.3 millones (103,331,165.82 )

Supplier in 170 contract(s) for a total of 209.3 millones (209,270,519.751 )

BIPERIDENO

210 purchases (7.6 millones units) for a total of 222.8 millones pesos mexicanos (222,808,469.01 MXN) between 2009 and 2018

Average price : 29.5 pesos mexicanos

Tableta. Cada Tableta contiene: Clorhidrato de biperideno 2 mg

96,267 purchases (1.9 millones units) for a total of 222.6 millones pesos mexicanos (222,598,977.25 MXN) between 2009 and 2017

Average price : 104.1 pesos mexicanos

Compra Emergente

DESECHABLES E HIGIENICOS DE MEXICO SA DE CV

Supplier in 10 purchase(s) for a total of 1.7 millones (1,671,182.62 )

Supplier in 39 contract(s) for a total of 208.3 millones (208,270,878.076 )

Compras Oficinas Centrales

México IMSS: Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento

GRUPO FARMACOS ESPECIALIZADOS, S. A. DE C. V.

277.7 millones de pesos mexicanos (277,664,479.56 MXN)

21/12/2012 to 31/12/2013

Adjudicación Directa

NUEVA WAL MART DE MEXICO S. DE R.L. DE C.V.

Supplier in 775 purchase(s) for a total of 474,675.9

Supplier in 1,473 contract(s) for a total of 208.2 millones (208,235,579.452 )

GOSERELINA

127 purchases (100,602 units) for a total of 222.1 millones pesos mexicanos (222,070,476.97 MXN) between 2009 and 2012

Average price : 2,207.4 pesos mexicanos

Implante de Liberación Prolongada. Cada Implante contiene: Acetato de goserelina equivalente a 3.6 mg de goserelina base

Proveedora Medica del Noroeste S.A. de C.V.

Supplier in 3 purchase(s) for a total of 49,524.1

Supplier in 61 contract(s) for a total of 208.2 millones (208,186,621.26 )

TIBOLONA

236 purchases (2.8 millones units) for a total of 221.9 millones pesos mexicanos (221,925,545.52 MXN) between 2009 and 2018

Average price : 80.7 pesos mexicanos

Tableta. Cada Tableta contiene: Tibolona 2.5 mg

AUTOMOTRIZ SAN COSME SA DE CV

Supplier in 23 purchase(s) for a total of 1 millones (1,033,357.06 )

Supplier in 75 contract(s) for a total of 207.7 millones (207,748,019.28 )

GRUPO ROVILO SA DE CV

Supplier in 19 purchase(s) for a total of 17 millones (16,980,212.32 )

Supplier in 104 contract(s) for a total of 207.6 millones (207,577,035.815 )

Compras Oficinas Centrales

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

ASEGURADORA INTERACCIONES, S. A.

276.6 millones de pesos mexicanos (276,588,626.36 MXN)

01/01/2011 to 31/12/2011

Licitación pública

AGUJAS HIPODÉRMICAS

2,368 purchases (8.3 millones units) for a total of 220.5 millones pesos mexicanos (220,460,302.58 MXN) between 2008 and 2018

Average price : 23 pesos mexicanos

AGUJAS HIPODERMICA CON PABELLON LUER-LOCK HEMBRA, DE PLASTICO, DESECHABLE, LONGITUD 38 MM CALIBRE 20 G.

Christus Muguerza del Parque S.A. de C.V.

Supplier in 78 purchase(s) for a total of 69.9 millones (69,939,920.16 )

Supplier in 130 contract(s) for a total of 206.5 millones (206,490,190.337 )

CORPORATIVO PROMEDICA DE MEXICO, S.A. DE C.V.

Supplier in 152 purchase(s) for a total of 1.8 millones (1,844,358.51 )

Supplier in 266 contract(s) for a total of 206.5 millones (206,475,080.458 )

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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=1600&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=1600&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=1600&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')