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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.

PAPEL BOND

987 purchases (13.2 millones units) for a total of 658.1 millones pesos mexicanos (658,074,442.47 MXN) between 2008 and 2015

Average price : 43 pesos mexicanos

PARA MAQUINA FOTOCOPIADORA TAMAÑO CARTA 27.9 X 21.6 CM, COLOR BLANCO, DE 36 KG.

DARFARMA SA DE CV

Supplier in 927 purchase(s) for a total of 185.9 millones (185,861,521.36 )

Supplier in 1,094 contract(s) for a total of 616.3 millones (616,279,381.49 )

ENOXAPARINA

654 purchases (3.2 millones units) for a total of 655.7 millones pesos mexicanos (655,694,570.66 MXN) between 2009 and 2012

Average price : 208 pesos mexicanos

ENOXAPARINA, SOLUCION INYECTABLE, CADA JERINGA CONTIENE: ENOXAPARINA SODICA 40 MILIGRAMOS ENVASE CON DOS JERINGAS CON 0.4 MILILITROS

Secretaría de Administración y Finanzas

Supplier in 2 purchase(s) for a total of 17,157

Supplier in 21 contract(s) for a total of 19.4 millones (19,354,420.37 )

Buyer in 241 contract(s) for a total of 892.2 millones (892,155,179.19 )

Sinaloa México

ASOKAM SA DE CV

Supplier in 801 purchase(s) for a total of 318.6 millones (318,552,682.14 )

Supplier in 975 contract(s) for a total of 613 millones (613,037,390.447 )

DIRECCIÓN DE BIENES Y SUMINISTROS

Buyer in 240 contract(s) for a total of 888.5 millones (888,542,808.96 )

Sinaloa México

CELL MEDICINE LABORATORIES, S.A. DE C.V.

Supplier in 21 purchase(s) for a total of 2.4 millones (2,396,237.51 )

Supplier in 90 contract(s) for a total of 608.4 millones (608,448,237.67 )

Compras Oficinas Centrales

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

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

810.5 millones de pesos mexicanos (810,484,338.48 MXN)

13/02/2017 to 31/12/2017

Licitación pública

MEGRACUMU SA DE CV

Supplier in 3,086 purchase(s) for a total of 65 millones (65,034,838.72 )

Supplier in 197 contract(s) for a total of 607.5 millones (607,525,394.09 )

ASECA SA DE CV

Supplier in 4 purchase(s) for a total of 453,821.8

Supplier in 408 contract(s) for a total of 606.2 millones (606,236,562.687 )

SERVICIOS HOSPITALARIOS DE MEXICO SA DE CV

Supplier in 303 purchase(s) for a total of 278.5 millones (278,472,069.75 )

Supplier in 263 contract(s) for a total of 605.7 millones (605,727,979.493 )

EFAVIRENZ

674 purchases (1.9 millones units) for a total of 646 millones pesos mexicanos (646,042,535.68 MXN) between 2009 and 2018

Average price : 331.7 pesos mexicanos

Comprimido recubierto. Cada comprimido contiene: Efavirenz 600 mg

LABORATORIOS SILANES, S.A. DE C.V.

Supplier in 94 purchase(s) for a total of 716.9 millones (716,873,352.54 )

Supplier in 330 contract(s) for a total of 605.2 millones (605,181,385.39 )

PROVEEDORA CLINICA MEDICA, S.A. DE C.V.

Supplier in 28 purchase(s) for a total of 620,662.1

Supplier in 828 contract(s) for a total of 604.4 millones (604,415,783.02 )

TIOTROPIO BROMURO DE

521 purchases (2.1 millones units) for a total of 644 millones pesos mexicanos (643,957,285.6 MXN) between 2009 and 2018

Average price : 305.4 pesos mexicanos

Cápsula. Cada Cápsula contiene: Bromuro de tiotropio monohidratado equivalente a 18 µg de tiotropio

TECNOLOGIAS EOS SA DE CV

Supplier in 3 purchase(s) for a total of 978,082.3

Supplier in 148 contract(s) for a total of 602.9 millones (602,941,945.94 )

GRUPO FYRME SA DE CV

Supplier in 67 purchase(s) for a total of 376 millones (375,983,548.35 )

Supplier in 90 contract(s) for a total of 601.5 millones (601,512,024 )

NO TEJIDOS GABA SA DE CV

Supplier in 103 purchase(s) for a total of 10.3 millones (10,297,335.5 )

Supplier in 213 contract(s) for a total of 600.8 millones (600,791,501.317 )

MUNICIPIO DE QUERÉTARO

Supplier in 4 purchase(s) for a total of 1.9 millones (1,910,400 )

Buyer in 326 contract(s) for a total of 871 millones (871,040,085.5 )

ELEKTA MEDICAL SA DE CV

Supplier in 1 purchase(s) for a total of 33.7 millones (33,683,903.1 )

Supplier in 40 contract(s) for a total of 598.5 millones (598,546,062.572 )

DESPACHO DE ASESORIA EMPRESARIAL SC

Supplier in 2 purchase(s) for a total of 132,646

Supplier in 30 contract(s) for a total of 598.4 millones (598,379,603.67 )

METILPREDNISOLONA

74 purchases (174,267 units) for a total of 638.2 millones pesos mexicanos (638,184,038.41 MXN) between 2012 and 2018

Average price : 3,662.1 pesos mexicanos

Solución Inyectable. Cada frasco ámpula con liofilizado contiene Succinato sódico de metilprednisolona equivalente a 500 mg de metilprednisolona

Dirección Administrativa

Buyer in 1,144 contract(s) for a total of 866.4 millones (866,369,566.48 )

GRUPO JACARIC, S.A. DE C.V.

Supplier in 18 purchase(s) for a total of 286,431.3

Supplier in 581 contract(s) for a total of 595.6 millones (595,556,232.11 )

MONTELUKAST

491 purchases (2.1 millones units) for a total of 633.4 millones pesos mexicanos (633,422,843.58 MXN) between 2009 and 2012

Average price : 308.5 pesos mexicanos

MONTELUKAST. COMPRIMIDOS RECUBIERTOS. CADA COMPRIMIDO CONTIENE: MONTELUKAST SODICO EQUIVALENTE A 10.0 MG DE MONTELUKAST.

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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=650&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=650&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=650&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')