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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.

JUAMA SA DE CV

Supplier in 2,244 purchase(s) for a total of 1.1 mil millones (1,117,387,650.04 )

Supplier in 2,167 contract(s) for a total of 1.4 mil millones (1,430,696,514.565 )

BECKMAN COULTER DE MEXICO SA DE CV

Supplier in 3 purchase(s) for a total of 2.4 millones (2,390,367.4 )

Supplier in 846 contract(s) for a total of 1.4 mil millones (1,429,747,089.948 )

JUSTESA IMAGEN MEXICANA SA DE CV

Supplier in 465 purchase(s) for a total of 168.8 millones (168,773,933.59 )

Supplier in 1,054 contract(s) for a total of 1.4 mil millones (1,427,653,746.058 )

ETANERCEPT

265 purchases (292,565 units) for a total of 1.5 mil millones pesos mexicanos (1,520,774,743.93 MXN) between 2010 and 2012

Average price : 5,198.1 pesos mexicanos

ETANERCEPT. SOLUCION INYECTABLE. CADA FRASCO AMPULA CON LIOFILIZADO CONTIENE: ETANERCEPT 25 MG. ENVASE CON 4 FRASCOS AMPULA, 4 JERINGAS CON 1 ML DE DILUYENTE Y 8 ALMOHADILLAS O 4 JERINGAS PRELLENADAS CON 0.5 ML.

OLANZAPINA

1,287 purchases (7.8 millones units) for a total of 1.5 mil millones pesos mexicanos (1,508,992,589.61 MXN) between 2009 and 2018

Average price : 193 pesos mexicanos

Tableta. Cada Tableta contiene: olanzapina 10 mg

PAPELERIA LOZANO HERMANOS SA DE CV

Supplier in 41 purchase(s) for a total of 45.2 millones (45,159,991.13 )

Supplier in 1,444 contract(s) for a total of 1.4 mil millones (1,412,627,311.601 )

CONSORCIO GASOLINERO PLUS SA DE CV

Supplier in 118 purchase(s) for a total of 278.6 millones (278,552,237.8 )

Supplier in 498 contract(s) for a total of 1.4 mil millones (1,408,092,558.808 )

EXPERTOS EN COMPUTO Y COMUNICACIONES SA DE CV

Supplier in 5 purchase(s) for a total of 13.2 millones (13,171,358.91 )

Supplier in 150 contract(s) for a total of 1.4 mil millones (1,406,867,037.106 )

SOPORTE MEDICO INTEGRAL SA DE CV

Supplier in 12,834 purchase(s) for a total of 1.2 mil millones (1,178,857,068.83 )

Supplier in 1,338 contract(s) for a total of 1.4 mil millones (1,388,946,328.671 )

SERVISAN SA DE CV

Supplier in 8 purchase(s) for a total of 6.3 millones (6,278,997.47 )

Supplier in 167 contract(s) for a total of 1.4 mil millones (1,376,112,594.832 )

COYATOC CONSTRUCCIONES SA DE CV

Supplier in 3 purchase(s) for a total of 136.3 millones (136,302,425.72 )

Supplier in 59 contract(s) for a total of 1.4 mil millones (1,373,434,646.899 )

Bodega de Llantas la Viga, S.A. de C.V.

Supplier in 25 purchase(s) for a total of 8.1 millones (8,147,194.95 )

Supplier in 1,752 contract(s) for a total of 1.4 mil millones (1,367,029,474.478 )

SISTEMAS ESPECIALIZADOS BRAIN SA DE CV

Supplier in 1 purchase(s) for a total of 6.7 millones (6,690,300 )

Supplier in 226 contract(s) for a total of 1.4 mil millones (1,366,796,492.218 )

NILOTINIB

90 purchases (42,919 units) for a total of 1.4 mil millones pesos mexicanos (1,437,249,241.48 MXN) between 2014 and 2018

Average price : 33,487.5 pesos mexicanos

Cápsula. Cada Cápsula contiene: Clorhidrato de nilotinib equivalente a 200 mg de nilotinib

TAYIRA TRAVEL S.A. DE C.V.

Supplier in 17 purchase(s) for a total of 4.3 millones (4,266,683.3 )

Supplier in 365 contract(s) for a total of 1.3 mil millones (1,321,535,388.919 )

R&R EMPRESARIAL, S.A. DE C.V.

Supplier in 4 purchase(s) for a total of 44.1 millones (44,068,159.88 )

Supplier in 44 contract(s) for a total of 1.3 mil millones (1,319,757,382.46 )

NOVUTEK SC

Supplier in 6 purchase(s) for a total of 610.7 millones (610,711,593.56 )

Supplier in 32 contract(s) for a total of 1.3 mil millones (1,316,639,290.136 )

BECESA SA DE CV

Supplier in 1,002 purchase(s) for a total of 187.5 millones (187,450,928.83 )

Supplier in 56 contract(s) for a total of 1.3 mil millones (1,313,778,805.3 )

LABORATORIOS LE ROY, S.A. DE C.V.

Supplier in 2,386 purchase(s) for a total of 814.7 millones (814,669,049.82 )

Supplier in 712 contract(s) for a total of 1.3 mil millones (1,311,659,635.012 )

GRUPO C.E.N. SA DE CV

Supplier in 108 purchase(s) for a total of 46.3 millones (46,301,842.64 )

Supplier in 41 contract(s) for a total of 1.3 mil millones (1,311,134,028.93 )

COMERCIALIZADORA LINI SA DE CV

Supplier in 3,113 purchase(s) for a total of 98 millones (97,996,732.44 )

Supplier in 2,407 contract(s) for a total of 1.3 mil millones (1,303,617,364.02 )

ABASTECEDORA ARAGONESA SA DE CV

Supplier in 205 purchase(s) for a total of 7.5 millones (7,462,644.05 )

Supplier in 190 contract(s) for a total of 1.3 mil millones (1,301,203,811.273 )

DISTRIBUIDORA QUIMICA Y HOSPITALARIA GAP SA DE CV

Supplier in 75 purchase(s) for a total of 4.7 millones (4,712,114.22 )

Supplier in 249 contract(s) for a total of 1.3 mil millones (1,297,905,632.4 )

F RUIZ E HIJOS SA DE CV

Supplier in 335 purchase(s) for a total of 1 mil millones (1,014,211,871.46 )

Supplier in 308 contract(s) for a total of 1.3 mil millones (1,296,425,620.866 )

COMERCIALIZADORA EL SARDINERO SA DE CV

Supplier in 14 purchase(s) for a total of 124.9 millones (124,918,440.11 )

Supplier in 74 contract(s) for a total of 1.3 mil millones (1,295,559,494.73 )

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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=325&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=325&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=325&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')