A package for fetching and parsing episodes from SubsPlease API.
Project description
SubsPlease API Client This package provides a simple interface to fetch and parse episodes from the SubsPlease.
Installation You can install the package using pip:
pip install subsplease
Usage
Here’s how you can use the package:
from subsplease import SubsPlease
search_query = "kami"
subs_please = SubsPlease()
episodes = subs_please.search(search_query)
for episode in episodes:
print(episode)
Features
- Search for episodes based on show names.
- Retrieve download links for various quality formats (480p, 720p, 1080p).
- Easy integration with your Python applications.
Contributing
Contributions are welcome! If you have suggestions for improvements or new features, please feel free to submit a pull request or create an issue in the repository.
License
This project is licensed under the MIT License. See the LICENSE file for more details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file subsplease-1.0.4.tar.gz.
File metadata
- Download URL: subsplease-1.0.4.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9f766a08153c44bb66fb2dc14b6e72dd3c046cf3ab8b86b77d5c54a5f87bba92
|
|
| MD5 |
45de50c0221585016a553bc511f90aa8
|
|
| BLAKE2b-256 |
849c7b77768a0a670dbc7de30505eb80e19438fefdb5d129188c707ba18f24ed
|
File details
Details for the file subsplease-1.0.4-py3-none-any.whl.
File metadata
- Download URL: subsplease-1.0.4-py3-none-any.whl
- Upload date:
- Size: 4.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fc3c6f4c93ef0797c2345855abe25b9fa21b10b9460d20920fe5efba382ea591
|
|
| MD5 |
f6741b107c3fdcafd81a74cc38515919
|
|
| BLAKE2b-256 |
76faa73e9a0e29cffcf8bed9b2bec7952889770ab752228f2b40f6f089b2a06a
|