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Offline ndiyo nzira inowanzoitika yekuti vanhu vaende pano: ndege, kutakura, kubatanidza kwechiratidzo, foni iyo haizove ne Microsoftlearnsession zvakachengeteka. A local profile file solves all four and does not need us again afterwards. Microsoftlearnsession inogadziriswa nenzira yemidhiya, iyo inoverenga webhusaiti yepakutanga yemufananidzo wewebhusaiti usati wasarudza chero chinhu. Kudzokororwa kwatinoona kubva ku Microsoftlearnsession kunosvika se ISMV. Hapana ruzivo rwakabatanidzwa chero kupi munzira iyi — hachizove hwako kana hwedu.
Iyo address bar inoitawo basa. Prefix any Microsoftlearnsession URL ine tikt.com/_Zvinyorwa:
tikt.com/https://www.example.com/path/to/media
Usashandisa iyo address bar kana iyo platform's own share button - zvese zvinopa URL iyo extractor inozivikanwa. Ita izvi pachinhu chimwe chete chaunoda, kwete peji rinotenderera.
Peta URL pamusoro. The extractor asks Microsoftlearnsession which renditions exist for that item and picks the best progressive one rather than assuming a quality.
Faira rinosvika mubhokisi re Microsoftlearnsession rakapihwa, uye mutsvakurudzi haagadzirisezve - saka izvo zvaunosvika nazvo ndezve izvo zvemugadziri weuploader, zviri nani kana zvakaipa.
Kushandura URLs kuita downloadable zvinhu kuburikidza nechokwadi REST interface. Extract video, audio, uye vhidhiyo mapurojekiti ne deterministic mazano uye kuongorora padiki.
import requests
response = requests.post(
"https://api.tikt.com/api/download",
headers={"Authorization": "API_KEY"},
json={"url": "URL"},
)
for item in response.json()["items"]:
print(item["type"], item["url"])Tikt.com haisi kuchengeta mafaera akaiswa kana kurodha pasi zviitiko zvemushandisi. Zvese zvemagariro zvinogadziriswa munzira isina hunhu uye zvinoendeswa zvakananga kune chigadzirwa chinoda.
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