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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.

UNIFORMES INDUSTRIALES COMANDO, S.A DE C.V.

Supplier in 4,114 purchase(s) for a total of 160 millones (159,985,594.35 )

Supplier in 360 contract(s) for a total of 1.1 mil millones (1,105,462,488.475 )

PRODIFAM S.A. DE C.V.

Supplier in 281 purchase(s) for a total of 713.4 millones (713,374,811.42 )

Supplier in 307 contract(s) for a total of 1.1 mil millones (1,104,542,745.6 )

INNOVACIONES HOSPITALARIAS DE MEXICO SA DE CV

Supplier in 1 purchase(s) for a total of 233,546.3

Supplier in 83 contract(s) for a total of 1.1 mil millones (1,102,269,181.95 )

SYNNEX DE MEXICO SA DE CV

Supplier in 1 purchase(s) for a total of 122,496

Supplier in 40 contract(s) for a total of 1.1 mil millones (1,093,737,688.38 )

ACCESOFARM, S.A. DE C.V.

Supplier in 2,760 purchase(s) for a total of 490.5 millones (490,469,183.12 )

Supplier in 1,269 contract(s) for a total of 1.1 mil millones (1,091,715,269.668 )

ILS INTEGRADORA LOGISTICA EN SALUD SA DE CV

Supplier in 35 purchase(s) for a total of 76.2 millones (76,234,115.57 )

Supplier in 140 contract(s) for a total of 1.1 mil millones (1,091,489,080.93 )

MAPE+TZIN SA DE CV

Supplier in 61 purchase(s) for a total of 15.1 millones (15,068,121.63 )

Supplier in 658 contract(s) for a total of 1.1 mil millones (1,090,721,743.49 )

GABAPENTINA

4,252 purchases (45 millones units) for a total of 1.2 mil millones pesos mexicanos (1,151,747,547.91 MXN) between 2009 and 2018

Average price : 25.6 pesos mexicanos

Cápsula. Cada cápsula contiene: Gabapentina 300 mg

CONSTRUCCIONES SKY UNIVERSAL SA DE CV

Supplier in 1 purchase(s) for a total of 2.5 millones (2,542,949.83 )

Supplier in 28 contract(s) for a total of 1.1 mil millones (1,078,762,260 )

PANTOPRAZOL O RABEPRAZOL U OMEPRAZOL

1,654 purchases (242.8 millones units) for a total of 1.1 mil millones pesos mexicanos (1,148,389,115.66 MXN) between 2009 and 2018

Average price : 4.73 pesos mexicanos

Tableta o Gragea o Cápsula. Cada Tableta o Gragea o Cápsula contiene: Pantoprazol 40 mg o Rabeprazol sódico 20 mg u omeprazol 20 mg

TRAVOPROST

812 purchases (5.9 millones units) for a total of 1.1 mil millones pesos mexicanos (1,137,051,338.04 MXN) between 2009 and 2018

Average price : 193.4 pesos mexicanos

Solución Oftálmica. Cada ml contiene: Travoprost 40 µg

MANUFACTURAS KALTEX SA DE CV

Supplier in 13 purchase(s) for a total of 476.7 millones (476,669,798.81 )

Supplier in 49 contract(s) for a total of 1.1 mil millones (1,063,820,017.56 )

EVOLUTION PROCES SA DE CV

Supplier in 3 purchase(s) for a total of 599.6 millones (599,597,754.8 )

Supplier in 141 contract(s) for a total of 1.1 mil millones (1,057,847,916.6 )

Tecnofarma, S.A. de C.V.

Supplier in 81 purchase(s) for a total of 60.6 millones (60,586,154.95 )

Supplier in 483 contract(s) for a total of 1.1 mil millones (1,052,805,850.2 )

HOLIDAY DE MEXICO SA DE CV

Supplier in 9,075 purchase(s) for a total of 864.5 millones (864,494,271.67 )

Supplier in 2,211 contract(s) for a total of 1 mil millones (1,043,060,701.572 )

LARONIDASA

37 purchases (128,371 units) for a total of 1.1 mil millones pesos mexicanos (1,112,395,705.3 MXN) between 2010 and 2018

Average price : 8,665.5 pesos mexicanos

Solución Inyectable. Cada frasco ámpula contiene: Laronidasa 2.9 mg (500 U)

EQUIPOS PARA BOMBA DE INFUSION MACROGOTERO

3,019 purchases (14 millones units) for a total of 1.1 mil millones pesos mexicanos (1,108,558,036.45 MXN) between 2001 and 2018

Average price : 68.2 pesos mexicanos

STAR MEDICA SA DE CV

Supplier in 82 purchase(s) for a total of 36.6 millones (36,570,142.08 )

Supplier in 323 contract(s) for a total of 1 mil millones (1,033,580,830.073 )

TIRA REACTIVA

177 purchases (1 millones units) for a total of 1.1 mil millones pesos mexicanos (1,099,553,206.04 MXN) between 2009 and 2017

Average price : 946.9 pesos mexicanos

CON CODIGO DE BARRAS MAGNETICO PARA LA DETERMINACION DE COLESTEROL EN SANGRE NÚMERO DE CATÁLOGO: 11418262166 . PARA SU USO EN EL EQUIPO CON, CLAVE: 531 345 0263

3GH MULTISERVICIOS S.A. DE C.V.

Supplier in 26 purchase(s) for a total of 25.8 millones (25,766,164.35 )

Supplier in 15 contract(s) for a total of 1 mil millones (1,026,853,605.35 )

SISTEMAS CONTINO, S.A. DE C.V.

Supplier in 82 purchase(s) for a total of 6.2 millones (6,241,135.63 )

Supplier in 1,384 contract(s) for a total of 1 mil millones (1,026,268,682.621 )

RADIOLOGIA Y ELECTRONICA DE MEXICO, S.A. DE C.V.

Supplier in 53 purchase(s) for a total of 30.1 millones (30,070,205.3 )

Supplier in 279 contract(s) for a total of 1 mil millones (1,024,025,737.92 )

FARMACOS DINSA S.A. DE C.V.

Supplier in 514 purchase(s) for a total of 158 millones (157,953,052.98 )

Supplier in 239 contract(s) for a total of 1 mil millones (1,015,662,574.48 )

TECROM SA DE CV

Supplier in 2 purchase(s) for a total of 400,371.2

Supplier in 258 contract(s) for a total of 1 mil millones (1,015,654,677.45 )

SERVICIOS DE SALUD DE SAN LUIS POTOSÍ

Buyer in 1,717 contract(s) for a total of 1.5 mil millones (1,473,441,774.43 )

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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=400&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=400&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=400&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')