De la API de Strava me interesa sobretodo la parte de segmentos, que son trozos de rutas donde la gent se cronometra y se publican los rankings. Sin una subscripción Premium no se puede acceder a toda la información. Jugando un rato con la API de Strava he llegado a poder ver los segmentos que hay en una zona geográfica, y poder ver los puntos de este segmento, que se pueden representar en cualquier mapa.
Para acceder a la información de un segmento:
$ curl -X GET https://www.strava.com/api/v3/segments/229781 -H 'Authorization: Bearer *******************'
Y el resultado:
{"id":229781,"resource_state":3,"name":"Hawk Hill","activity_type":"Ride","distance":2684.82,"average_grade":5.8,"maximum_grade":10.9,"elevation_high":247.2,"elevation_low":92.0,"start_latlng":[37.833112,-122.483436],"end_latlng":[37.828072,-122.498139],"elevation_profile":"https://d3o5xota0a1fcr.cloudfront.net/v6/charts/KO5P7GCFLK5P5NF5GNUX3D6IVFLIEYRYD6JRBEGMXHOCPENJUQZXD5IIEJOYINQE2HX3XLZMYRTF5GHG5JLQ====","start_latitude":37.833112,"start_longitude":-122.483436,"end_latitude":37.828072,"end_longitude":-122.498139,"climb_category":1,"city":"San Francisco","state":"CA","country":"United States","private":false,"hazardous":false,"starred":false,"created_at":"2009-09-21T20:29:41Z","updated_at":"2021-03-13T09:01:33Z","total_elevation_gain":155.2,
"map":{"id":"s229781","polyline":"}g|eFnpqjVl@En@Md@HbAd@d@^h@Xx@VbARjBDh@OPQf@w@d@k@XKXDFPF\\CbGT`AV`@v@|@NTNb@?XOb@cAxAWLuE@eAFMBoAv@eBt@q@b@}@tAeAt@i@dAC`AFZj@dBA~@Yh@MbAVn@b@b@\\d@Ef@Qd@_@d@eB|@c@h@YfBI|AMpA?VF\\\\t@f@t@h@j@|@b@hCb@b@XTd@Bl@GtA?jAL`ALp@Tr@RXd@Rx@Pn@^Zh@Tx@Zf@`@FTCzDy@f@Yx@m@n@Op@VJr@","resource_state":3},
"effort_count":556805,"athlete_count":49100,"star_count":5022,"athlete_segment_stats":{"pr_elapsed_time":null,"pr_date":null,"pr_activity_id":null,"effort_count":0},"xoms":{"kom":"5:37","qom":"6:42","destination":{"href":"strava://segments/229781/leaderboard","type":"overall","name":"All-Time"}},"local_legend":{"athlete_id":54312907,"title":"Dalton Nonweiler","profile":"https://dgalywyr863hv.cloudfront.net/pictures/athletes/54312907/14907176/5/large.jpg","effort_description":"86 efforts in the last 90 days","effort_count":"86","effort_counts":{"overall":"86 efforts","female":"41 efforts"},"destination":"strava://segments/229781/local_legend?categories%5B%5D=overall"}}
Vemos que la polilinea está codificada en una cadena de texto. La podemos decodificar y obtener las coordenadas:
$ pip3 install polyline
$ python3
>> import polyline
>> #polyline.decode(summary_polyline)
>> polyline.decode("gxu{Fem|Kc@fAq@fAoApAMR[ZMXw@v@a@VQZi@j@sAhAk@hA_@f@oDxCiAhA_@j@a@~@{@pCC`@EFD^H`B?`@BNNZV@JGDMEqA@q@H]NOFSLo@t@eB^i@d@i@t@m@n@Yz@EHBR\\`AdDFdEJ`@RNHIVGf@ATH`At@VXDl@GJU@WY[e@YSKC_@GgA@YMKMc@eBYeBSWg@AUTSVa@|@[tAAPDb@Nr@@TCb@[bACd@BNJ^Xh@N^BNB`@Nn@DJTNZ\\Rn@?\\c@zAA^B\\JZHHh@NZDVHTRHJBNAb@I|@B\\Th@PTVf@F`@Cl@Sj@WJ{Ae@{@OKBSPOr@IvA[z@UTw@JWE_@]QUUKKCu@Hs@NMEIIi@kAOUGE]OUMGIGY?y@XiB@]E]U[SGU?c@XcA`Aw@|@i@~@WbASPK?IC_Au@q@_@SAI@g@Lo@XK?YB[MYOQSQYi@Y_@AK@CDg@X]Bg@KUMi@e@[k@GU@MHQb@a@DIFU@WIYg@u@]y@IqAP{ABq@Is@e@iB}@wAw@oBk@aAa@g@g@w@Km@Q{AYkB_AmCc@eB?]H]NWxAiBZq@JYFm@@m@C[G]OWa@k@eAu@o@k@iBkCm@k@SKc@CK@]LS@e@]]]E@GDEH@`@PZJd@CHEFI?OSMe@Uk@")
[(41.40436, 2.11683), (41.40454, 2.11647), (41.40479, 2.11611), (41.40519, 2.1157), (41.40526, 2.1156), (41.4054, 2.11546), (41.40547, 2.11533),
...
(41.41868, 2.11667), (41.41859, 2.11653), (41.41853, 2.11634), (41.41855, 2.11629), (41.41858, 2.11625), (41.41863, 2.11625), (41.41871, 2.11635), (41.41878, 2.11654), (41.41889, 2.11676)]
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