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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.

DISPOSITIVOS IMPLANTABLES DE MEXICO SA DE CV

Supplier in 352 purchase(s) for a total of 109.3 millones (109,283,436.54 )

Supplier in 1,086 contract(s) for a total of 256.5 millones (256,482,274.649 )

Compras Oficinas Centrales

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

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

341.8 millones de pesos mexicanos (341,766,420.48 MXN)

12/12/2016 to 31/12/2017

Licitación pública

ALTEC SISTEMA, S.A. DE C.V.

Supplier in 1 purchase(s) for a total of 818,265.5

Supplier in 13 contract(s) for a total of 255.8 millones (255,774,748.87 )

Compras Oficinas Centrales

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

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

340.8 millones de pesos mexicanos (340,834,058.24 MXN)

29/12/2011 to 31/12/2012

Licitación pública

MIGUEL GUTIERREZ VAZQUEZ

Supplier in 2 purchase(s) for a total of 103,381.8

Supplier in 53 contract(s) for a total of 255.5 millones (255,463,521.12 )

EPTACOG ALFA (FACTOR DE COAGULACIÓN VII ALFA RECOMBINANTE)

53 purchases (23,087 units) for a total of 271.8 millones pesos mexicanos (271,781,917.49 MXN) between 2009 and 2018

Average price : 11,772.1 pesos mexicanos

Solución inyectable. Cada frasco ámpula con liofilizado contiene: Factor de coagulación VII alfa recombinante 60 000 UI (1.2 mg) ó 1 mg (50 KUI)

INFRAESTRUCTURA GEVELUSE, S.A. DE C.V.

Supplier in 22 purchase(s) for a total of 858,360.2

Supplier in 29 contract(s) for a total of 254.6 millones (254,634,281.539 )

PROYECTOS E INFRAESTRUCTURA DEL NORTE SA DE CV

Supplier in 6 purchase(s) for a total of 203.8 millones (203,812,504.53 )

Supplier in 28 contract(s) for a total of 252.9 millones (252,897,367.17 )

SONOMEDICS SA DE CV

Supplier in 710 purchase(s) for a total of 175.5 millones (175,451,409.87 )

Supplier in 408 contract(s) for a total of 252.7 millones (252,709,411.756 )

DUO ALTO NIVEL EN SERVICIOS SA DE CV

Supplier in 31 purchase(s) for a total of 45.7 millones (45,721,933.72 )

Supplier in 121 contract(s) for a total of 252.6 millones (252,630,067.393 )

RODAMIENTOS Y ACCESORIOS SA DE CV

Supplier in 10 purchase(s) for a total of 709.8

Supplier in 329 contract(s) for a total of 252.5 millones (252,528,602.63 )

CLIMAS Y REFACCIONES, S.A. DE C.V.

Supplier in 21 purchase(s) for a total of 12.3 millones (12,267,214.98 )

Supplier in 276 contract(s) for a total of 252.2 millones (252,214,677.671 )

GOSERELINA

169 purchases (151,515 units) for a total of 268.6 millones pesos mexicanos (268,593,633.64 MXN) between 2012 and 2018

Average price : 1,772.7 pesos mexicanos

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

EDIFICADORA GOLFO NORTE SA DE CV

Supplier in 2 purchase(s) for a total of 14.1 millones (14,123,093.14 )

Supplier in 22 contract(s) for a total of 251.7 millones (251,662,929.81 )

Compras Oficinas Centrales

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

FARMACEUTICOS MAYPO, S. A. DE C. V.

335.1 millones de pesos mexicanos (335,080,928 MXN)

27/02/2017 to 31/12/2017

Licitación pública

CARBOPAPEL SA DE CV

Supplier in 8 purchase(s) for a total of 1 millones (1,017,853.41 )

Supplier in 293 contract(s) for a total of 251 millones (250,958,401.622 )

GEMA CONSTRUCTORA SA DE CV

Supplier in 5 purchase(s) for a total of 808,967.8

Supplier in 15 contract(s) for a total of 250.7 millones (250,699,988.09 )

JTC PROVEEDOR MEDICO, S.A. DE C.V.

Supplier in 4,215 purchase(s) for a total of 80.1 millones (80,133,263.25 )

Supplier in 2,053 contract(s) for a total of 250.6 millones (250,604,845.643 )

ARTURO MALDONADO ROMERO

Buyer in 280 contract(s) for a total of 364.5 millones (364,504,940.69 )

LABORATORIOS AULIS SA DE CV

Supplier in 123 purchase(s) for a total of 58 millones (57,969,323.01 )

Supplier in 252 contract(s) for a total of 250.6 millones (250,595,958.918 )

E.S.G.E.S SA DE CV

Supplier in 47 purchase(s) for a total of 53.8 millones (53,814,918.53 )

Supplier in 275 contract(s) for a total of 250.4 millones (250,363,231.711 )

IMIPRAMINA

92 purchases (28.6 millones units) for a total of 266.7 millones pesos mexicanos (266,742,487.36 MXN) between 2010 and 2018

Average price : 9.33 pesos mexicanos

Gragea o tableta. Cada gragea o tableta contiene: Clorhidrato de Imipramina 25 mg

RIO DE AGUA VIVA S DE RL MI Y CV

Supplier in 74 purchase(s) for a total of 3.6 millones (3,574,371.04 )

Supplier in 5 contract(s) for a total of 249.9 millones (249,895,836 )

Compras Oficinas Centrales

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

SANOFI PASTEUR, S.A.

333 millones de pesos mexicanos (333,001,081.8 MXN)

10/12/2012 to 31/12/2013

Licitación pública

Equipos Interferenciales de México S.A. de C.V.

Supplier in 307 purchase(s) for a total of 4.4 millones (4,420,409.39 )

Supplier in 727 contract(s) for a total of 249.5 millones (249,505,797.909 )

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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=1375&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=1375&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=1375&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')