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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.

COMPLEJO COAGULANTE ANTI-INHIBIDOR DEL FACTOR VIII

64 purchases (55,856 units) for a total of 1 mil millones pesos mexicanos (1,002,814,372.13 MXN) between 2009 and 2018

Average price : 17,953.6 pesos mexicanos

Solución Inyectable. Complejo coagulante anti-inhibidor del factor VIII 1000 U FEIBA Proteína plasmática humana 400-1200 mg

MEROPENEM

90 purchases (4.5 millones units) for a total of 1 mil millones pesos mexicanos (1,001,285,375.57 MXN) between 2010 and 2019

Average price : 223.8 pesos mexicanos

Solución Inyectable. Cada frasco ámpula con polvo contiene: Meropenem trihidratado equivalente a 1 g de meropenem

ESTAFETA MEXICANA SA DE CV

Supplier in 304 purchase(s) for a total of 4.1 millones (4,130,103.12 )

Supplier in 2,493 contract(s) for a total of 934.7 millones (934,662,165.457 )

INTERBIOL, S.A. DE C.V.

Supplier in 911 purchase(s) for a total of 118.9 millones (118,892,651.6 )

Supplier in 599 contract(s) for a total of 929.4 millones (929,402,986.99 )

ANALISIS CLINICOS DE LEON SA DE CV

Supplier in 95 purchase(s) for a total of 10.3 millones (10,289,183.25 )

Supplier in 9 contract(s) for a total of 929.2 millones (929,168,819.59 )

EPINASTINA

501 purchases (17 millones units) for a total of 985.7 millones pesos mexicanos (985,681,388.14 MXN) between 2009 and 2019

Average price : 57.8 pesos mexicanos

Tableta. Cada Tableta contiene: Clorhidrato de epinastina 20 mg

DISTRIBUIDORA MEDICA ORION SA DE CV

Supplier in 510 purchase(s) for a total of 19.9 millones (19,937,336.11 )

Supplier in 309 contract(s) for a total of 923.9 millones (923,855,832.05 )

FARMACIA DE GENERICOS SA DE CV

Supplier in 33 purchase(s) for a total of 5,482.7

Supplier in 181 contract(s) for a total of 922.1 millones (922,138,917.9 )

TECNICOS EN ALIMENTACION, S.A. DE C.V.

Supplier in 57 purchase(s) for a total of 131.5 millones (131,547,597.54 )

Supplier in 265 contract(s) for a total of 920.8 millones (920,840,165.58 )

COMERLAT SA DE CV

Supplier in 821 purchase(s) for a total of 133.3 millones (133,268,110.17 )

Supplier in 447 contract(s) for a total of 916.2 millones (916,211,177.738 )

MEDIDORES INDUSTRIALES Y MEDICOS, S.A. DE C.V.

Supplier in 1,066 purchase(s) for a total of 400.1 millones (400,119,613.94 )

Supplier in 853 contract(s) for a total of 915.7 millones (915,725,014.987 )

INDUSTRIAS SANDOVAL SA CV

Supplier in 1 purchase(s) for a total of 9.8 millones (9,752,000 )

Supplier in 499 contract(s) for a total of 910.3 millones (910,339,865.611 )

JOSE GOMEZ CAMACHO SA

Supplier in 24 purchase(s) for a total of 75.5 millones (75,467,920.93 )

Supplier in 239 contract(s) for a total of 902.2 millones (902,156,835.243 )

BICALUTAMIDA

170 purchases (1.5 millones units) for a total of 962.3 millones pesos mexicanos (962,266,943.99 MXN) between 2009 and 2019

Average price : 650.4 pesos mexicanos

Tableta. Cada Tableta contiene: Bicalutamida 50 mg

SERVICIOS Y ASESORIA DE PRODUCCION SA DE CV

Supplier in 4,453 purchase(s) for a total of 794.3 millones (794,334,984.52 )

Supplier in 538 contract(s) for a total of 901.2 millones (901,247,724.908 )

PRAVASTATINA

114 purchases (109.9 millones units) for a total of 961.3 millones pesos mexicanos (961,276,412.48 MXN) between 2009 and 2018

Average price : 8.75 pesos mexicanos

Tableta. Cada Tableta contiene: Pravastatina sódica 10 mg

PRODUCTOS METALICOS STEELE S.A. DE C.V.

Supplier in 42 purchase(s) for a total of 4.6 millones (4,631,659.25 )

Supplier in 870 contract(s) for a total of 899.4 millones (899,447,804.276 )

MAURICIO SOTELO SANTILLAN

Supplier in 40 purchase(s) for a total of 31.5 millones (31,458,473.81 )

Supplier in 36 contract(s) for a total of 899.3 millones (899,286,807.98 )

CARTUCHO DE TONER

286 purchases (202,133 units) for a total of 956.3 millones pesos mexicanos (956,311,530.47 MXN) between 2013 and 2019

Average price : 4,078.5 pesos mexicanos

PARA IMPRESORA MARCA LEXMARK MODELOS MS610DEN MS610DNN Y MS410DN, DE EXTRA ALTO RENDIMIENTO, NUMERO DE PARTE 50F4X00

MEDICA SANTA CARMEN S DE RL DE CV

Supplier in 7 purchase(s) for a total of 258.4 millones (258,366,341.8 )

Supplier in 34 contract(s) for a total of 895.7 millones (895,677,256.1 )

OPERADORA DE ECOSISTEMAS SA DE CV

Supplier in 5 purchase(s) for a total of 231,454

Supplier in 113 contract(s) for a total of 889.2 millones (889,249,633.283 )

ALFA CETOANÁLOGOS DE AMINOÁCIDOS

717 purchases (2.9 millones units) for a total of 946.3 millones pesos mexicanos (946,335,668.73 MXN) between 2009 and 2019

Average price : 328.8 pesos mexicanos

Gragea Tableta Recubierta o Tableta. Cada Gragea tableta recubierta o tableta contiene: Alfa cetoanálogos de Aminoácidos 630 mg

ALCOHOLERA DE ZAPOPAN SA DE CV

Supplier in 4 purchase(s) for a total of 4.6 millones (4,602,178.3 )

Supplier in 15 contract(s) for a total of 885.4 millones (885,434,962.7 )

LOPINAVIR-RITONAVIR

205 purchases (307,612 units) for a total of 941 millones pesos mexicanos (940,963,311.61 MXN) between 2009 and 2012

Average price : 3,058.9 pesos mexicanos

LOPINAVIR-RITONAVIR. TABLETA CADA TABLETA CONTIENE: LOPINAVIR 200 MG. RITONAVIR 50 MG.

SERVICIOS MEDICOS SUPER, S.A. DE C.V.

Supplier in 210 purchase(s) for a total of 14.8 millones (14,766,555.98 )

Supplier in 1,055 contract(s) for a total of 880.1 millones (880,054,494.11 )

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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=450&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=450&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=450&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')