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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.

Miguel Ángel Bustos Guerrero

Buyer in 3,229 contract(s) for a total of 6 mil millones (6,000,107,726.445 )

EMTRICITABINA-TENOFOVIR DISOPROXIL O EMTRICITABINA-TENOFOVIR DISOPROXIL FUMARATO

138 purchases (2.2 millones units) for a total of 4.3 mil millones pesos mexicanos (4,321,663,987.02 MXN) between 2012 and 2018

Average price : 1,937.3 pesos mexicanos

TABLETA RECUBIERTA. Cada tableta recubierta contiene:Tenofovir disoproxil 245 mg o Tenofovir disoproxil fumarato 300 mg equivalente a 245 mg de Tenofovir disoproxil Emtricitabina 200 mg

AXA SEGUROS, S.A. DE C.V.

Supplier in 31 purchase(s) for a total of 478.7 millones (478,717,615.17 )

Supplier in 536 contract(s) for a total of 4 mil millones (4,006,602,166.216 )

Lydia Loza Lugo

Buyer in 1,570 contract(s) for a total of 5.8 mil millones (5,808,444,288.069 )

Dirección de Recursos Materiales y Servicios

Buyer in 1,557 contract(s) for a total of 5.8 mil millones (5,800,522,683.279 )

DALTEM PROVEE NACIONAL S.A. DE C.V.

Supplier in 1,089 purchase(s) for a total of 1.1 mil millones (1,138,089,349.66 )

Supplier in 424 contract(s) for a total of 3.9 mil millones (3,940,103,127.572 )

Marco Antonio Rodríguez Ramírez

Supplier in 13 contract(s) for a total of 1.4 millones (1,416,136.27 )

Buyer in 1,353 contract(s) for a total of 5.7 mil millones (5,673,257,316.689 )

Servicio Pan Americano de Protección, S.A. de C.V.

Supplier in 158 purchase(s) for a total of 14.3 millones (14,295,223.54 )

Supplier in 1,142 contract(s) for a total of 3.9 mil millones (3,852,408,026.97 )

Casa Saba, S.A. de C.V.

Supplier in 210 purchase(s) for a total of 328.2 millones (328,159,963.59 )

Supplier in 1,649 contract(s) for a total of 3.8 mil millones (3,830,691,339.68 )

POLIETILENOS DEL SUR SA DE CV

Supplier in 553 purchase(s) for a total of 18.3 millones (18,332,319.03 )

Supplier in 407 contract(s) for a total of 3.8 mil millones (3,810,843,118.3 )

BAYER DE MEXICO SA DE CV

Supplier in 147 purchase(s) for a total of 463.3 millones (463,348,944.5 )

Supplier in 564 contract(s) for a total of 3.8 mil millones (3,808,553,374.059 )

CASA MARZAM SA DE CV

Supplier in 250 purchase(s) for a total of 760.3 millones (760,310,486.3 )

Supplier in 1,306 contract(s) for a total of 3.8 mil millones (3,761,308,169.098 )

ALESTRA S DE RL DE CV

Supplier in 1 purchase(s) for a total of 622,828.4

Supplier in 1,217 contract(s) for a total of 3.7 mil millones (3,738,016,822.439 )

SUN MICROSYSTEMS DE MEXICO S.A. DE C.V.

Supplier in 3 purchase(s) for a total of 148.2 millones (148,237,233.3 )

Supplier in 291 contract(s) for a total of 3.7 mil millones (3,692,062,512.427 )

SUBDIRECCION DE RECURSOS MATERIALES

Buyer in 1,367 contract(s) for a total of 5.2 mil millones (5,248,107,745.86 )

Estado de México México

DEGASA SA DE CV

Supplier in 7,847 purchase(s) for a total of 1.5 mil millones (1,546,457,279.99 )

Supplier in 4,434 contract(s) for a total of 3.5 mil millones (3,545,062,358.293 )

SERVISEG SA DE CV

Supplier in 22 purchase(s) for a total of 27.2 millones (27,217,171.78 )

Supplier in 289 contract(s) for a total of 3.5 mil millones (3,526,692,272.165 )

ABBVIE FARMACEUTICOS SA DE CV

Supplier in 5 purchase(s) for a total of 133.5 millones (133,507,110 )

Supplier in 148 contract(s) for a total of 3.5 mil millones (3,524,714,717.55 )

MICROSOFT LICENSING, GP

Supplier in 7 purchase(s) for a total of 867.1 millones (867,106,396.21 )

Supplier in 463 contract(s) for a total of 3.4 mil millones (3,445,397,082.013 )

JOHNSON & JOHNSON MEDICAL MEXICO, S.A. DE C.V.

Supplier in 1,360 purchase(s) for a total of 552.5 millones (552,473,159.74 )

Supplier in 1,955 contract(s) for a total of 3.4 mil millones (3,436,056,025.321 )

Coordinación de Control de Obras

Buyer in 441 contract(s) for a total of 5 mil millones (4,961,459,131.51 )

WYETH S.A. DE C.V.

Supplier in 6 purchase(s) for a total of 832.7 millones (832,693,755.59 )

Supplier in 32 contract(s) for a total of 3.4 mil millones (3,407,873,565.424 )

Hospital Regional de Alta Especialidad del Bajío

Supplier in 11 purchase(s) for a total of 6.1 millones (6,117,151.2 )

Buyer in 4,246 contract(s) for a total of 4.9 mil millones (4,920,683,457.446 )

Dirección de Administración y Finanzas

Buyer in 4,238 contract(s) for a total of 4.9 mil millones (4,910,316,758.656 )

PRO INMUNE, S.A. DE C.V

Supplier in 9 purchase(s) for a total of 2.4 millones (2,382,325.77 )

Supplier in 674 contract(s) for a total of 3.4 mil millones (3,375,492,761.793 )

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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=150&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=150&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=150&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')