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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.

Instituto Mexicano del Seguro Social

Buyer in 2.1 millones purchase(s) for a total of 642.1 mil millones (642,105,412,327.518 )

Supplier in 25 contract(s) for a total of 9.3 millones (9,278,934.81 )

Buyer in 613,802 contract(s) for a total of 1.9 millones de millones (1,896,951,780,770.263 )

Comisión Federal de Electricidad

Supplier in 2,061 purchase(s) for a total of 193.6 millones (193,639,420.04 )

Supplier in 3,659 contract(s) for a total of 9.6 mil millones (9,581,799,470.908 )

Buyer in 262,821 contract(s) for a total of 734.2 mil millones (734,175,034,758.179 )

GRUPO FARMACOS ESPECIALIZADOS SA DE CV

Supplier in 21,623 purchase(s) for a total of 86.6 mil millones (86,600,517,176.26 )

Supplier in 7,879 contract(s) for a total of 169.3 mil millones (169,294,789,058.149 )

Comisión Nacional del Agua

Supplier in 8 purchase(s) for a total of 6,221

Supplier in 44 contract(s) for a total of 8.2 millones (8,176,181.1 )

Buyer in 41,737 contract(s) for a total of 206.9 mil millones (206,890,617,606 )

CENTRUM PROMOTORA INTERNACIONAL SA DE CV

Supplier in 449 purchase(s) for a total of 2.7 mil millones (2,712,965,952.27 )

Supplier in 706 contract(s) for a total of 15.5 mil millones (15,509,778,495.538 )

PFIZER SA DE CV

Supplier in 6 purchase(s) for a total of 356.4 millones (356,382,361.68 )

Supplier in 226 contract(s) for a total of 14 mil millones (13,956,177,932.2 )

RADIOMOVIL DIPSA SA DE CV

Supplier in 186 purchase(s) for a total of 12.4 millones (12,385,351.95 )

Supplier in 2,566 contract(s) for a total of 2.5 mil millones (2,506,866,263.147 )

MEDICAL DIMEGAR S.A. DE C.V.

Supplier in 1,313 purchase(s) for a total of 246.3 millones (246,326,933.25 )

Supplier in 1,456 contract(s) for a total of 1.7 mil millones (1,677,958,205.531 )

SODEIME INGENIERIA MEDICA SA DE CV

Supplier in 2,975 purchase(s) for a total of 25.9 millones (25,941,569.71 )

Supplier in 640 contract(s) for a total of 124.2 millones (124,165,422.11 )

COPPEL, S.A. DE C.V.

Supplier in 3 purchase(s) for a total of 2,637

Supplier in 10 contract(s) for a total of 49.3 millones (49,337,965.47 )

GRUPO PARISINA, S.A DE C.V

Supplier in 47 purchase(s) for a total of 229,956.1

Supplier in 49 contract(s) for a total of 55,312.9

Diconsa, S.A. de C.V.

Supplier in 671 purchase(s) for a total of 210.6 millones (210,622,026.55 )

Supplier in 117 contract(s) for a total of 1.5 mil millones (1,522,244,129.88 )

Buyer in 634,517 contract(s) for a total of 223.3 mil millones (223,296,459,066.373 )

INGENIEROS CIVILES ASOCIADOS SA DE CV

Supplier in 3 purchase(s) for a total of 1.3 mil millones (1,290,267,031.17 )

Supplier in 156 contract(s) for a total of 146.7 mil millones (146,734,128,351.28 )

IMPRESORA SILVAFORM SA DE CV

Supplier in 15 purchase(s) for a total of 5.2 millones (5,230,521.25 )

Supplier in 374 contract(s) for a total of 139.6 mil millones (139,599,222,648.681 )

PEGO, S.A. DE C.V.

Supplier in 647 purchase(s) for a total of 2.8 mil millones (2,817,502,765.65 )

Supplier in 585 contract(s) for a total of 121.5 mil millones (121,520,659,262.81 )

METLIFE MEXICO, S.A.

Supplier in 2 purchase(s) for a total of 33 millones (33,000,000 )

Supplier in 1,182 contract(s) for a total of 117.7 mil millones (117,720,471,105.003 )

Secretaría de Salud

Supplier in 8 purchase(s) for a total of 7.5 millones (7,458,331.18 )

Supplier in 13 contract(s) for a total of 15.8 millones (15,753,935.21 )

Buyer in 34,112 contract(s) for a total of 161.4 mil millones (161,421,503,833.954 )

Quintana Roo México

PROMOTORA Y DESARROLLADORA MEXICANA SA DE CV

Supplier in 7 purchase(s) for a total of 3.4 mil millones (3,395,823,673.65 )

Supplier in 80 contract(s) for a total of 109.3 mil millones (109,255,514,615.669 )

Dirección de Comercialización

Buyer in 520,656 contract(s) for a total of 158 mil millones (158,017,878,832.901 )

FORMAS PARA CONTROL SA DE CV

Supplier in 547 purchase(s) for a total of 28.1 millones (28,146,760.61 )

Supplier in 348 contract(s) for a total of 107.3 mil millones (107,320,646,514.12 )

Fondo Nacional de Fomento al Turismo

Supplier in 1 purchase(s) for a total of 5,412

Supplier in 87 contract(s) for a total of 179.1 millones (179,090,319.895 )

Buyer in 8,182 contract(s) for a total of 146.8 mil millones (146,829,106,406.022 )

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

Supplier in 11,067 purchase(s) for a total of 35.2 mil millones (35,242,319,369.18 )

Supplier in 18,209 contract(s) for a total of 97.4 mil millones (97,372,973,518.448 )

Subdirección de Adquisiciones y Servicios Generales

Buyer in 3,146 contract(s) for a total of 132.5 mil millones (132,476,229,117.659 )

ACCIONA INFRAESTRUCTURAS MÉXICO, S.A. DE C.V.

Supplier in 3 purchase(s) for a total of 789.7 millones (789,729,519.57 )

Supplier in 12 contract(s) for a total of 88 mil millones (87,950,969,044.081 )

Vitalmex Internacional S.A. de C.V.

Supplier in 407 purchase(s) for a total of 5.7 mil millones (5,681,967,209.7 )

Supplier in 714 contract(s) for a total of 74.5 mil millones (74,511,873,732.043 )

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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&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&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&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')