STATUS- WORKING - (UPDATED MAR/31/24)
- Added stable fixes for most of the sources so it wont break too often.
- Everything Works currently and the speed has also increased in the latest commit dut o use of non-blocking async functions.
- Still the code may have some bugs,so feel free to post bugs in the issue section :)
A simple web scrapper based on this resolver.
-
-
Project specifically made to run on vercel,but easy to deploy on other platforms.Just check the running fastapi on the specific platform.
-
Project is easy to deploy on vercel.
-
Forkthisrepo. -
Open vercel and create
new projectand choose yourforked repo. -
Use the default settings and click
deploy. -
Your build will
surely failbecause of this
*vercel's latest update.Node.js version 20.x dosent fully support python.
-
Now open the project's settings and scroll down.Now you can see a row caled
Node Version.CHANGE it to 18.x
*there's an detailed explanation in this issue link
-
-
Or if vercel fixes this bug,you can use this button.But vercel didnt fix this yet.
IMPORTANT: Vercel is facing a bug recently so setting node version to18.xis a fix for it.*there's an detailed explanation in this issue link
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1.Fork and Clone the repo.
2.Create a virtial env if you want.
3.install the deps.[
pip install -r requirements.txt]4.open
models/utils.pyand change the value ofBASEto yourapi-base-url/deployment-base-url.( for subtitle )5.install
uvicornviapip install uvicorn& run it using uvicorn.[uvicorn main:app --reload --port=8000] -
If you liked the project and updates
buy me a coffee:) -
If any issues,drop an issue on
github issues.
- async support - Most process are async but still some fixes are needed.
- very fast results
- subtitle support for every sources.
- Dont overload the deployment.
- This api is made for educational purpouse only. This is just a simple scrapper built arround `https://github.com/Ciarands` vidsrc downloader.This project was only made to prevent ads and redirects caused by the `iframe`s
- This api isnt a copy of the inspired project,but its a complete reqrite of code to make it work as an api and use async style to give vary fast results.
- Dont perform bulk request to the api and store the m3u8's returned,cuz they may not work after 24 hours or so.This api scrape websites that have `video on demand` feature so storing it is useless.
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example base url: https://api.vercel.app
-
endpoints:
/vidsrc/{db_id}- vidsrc.to/vsrcme/{db_id}- vidsrc.me/streams/{db_id}- get streams from all 4 sources in one request./subs/?url={[email protected]}
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parameters:
s- season (series only)e- episodes (series only)l- language(subtitle)
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example url (movie) :
https://api.vercel.app/vidsrc/ttXXXXXX -
example url (series) :
https://api.vercel.app/vidsrc/ttXXXXXX?s=1&e=2
[UPDATE] Added a common response scheam for the endpoints,so every source is an element of an array.And the api retruns an array.
Working
{
"status":200,
"info":"success",
"sources":[
{
"name": "SOURCE_NAME",
"data": {
"stream": "FILE.m3u8",
"subtitle": [
{
"lang":"LANGUAGE",
"file":"FILE.srt"
}
{
"lang":"LANGUAGE2",
"file":"FILE2.srt"
}
]
}
},
{
"name": "SOURCE_NAME2",
"data": {
"stream": "FILE2.m3u8",
"subtitle": [
{
"lang":"LANGUAGE",
"file":"FILE.srt"
}
{
"lang":"LANGUAGE2",
"file":"FILE2.srt"
}
]
}
}
]
}
Error/Stream Unavailable
{
"status":200,
"info":"success",
"sources":[]
}
### ERROR CODESTODO
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