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nndownload allows you to process videos and other links from Niconico.

Project description

nndownload

PyPI

nndownload allows you to download videos, images, manga, and process other links from Niconico, formerly known as Nico Nico Douga. Unlike other existing downloaders, this program communicates wth DMC (Dwango Media Cluster) servers to ensure access to high quality videos.

Disclaimers

  • If you do not have a premium account, you may download low quality videos during economy mode hours (typically 12 PM - 2 AM JST) or during other periods of high traffic.
  • When downloading without a login (using -g/--no-login), Flash videos (some video IDs starting with "nm") may not be available for download or will only be available in a lower quality.
  • Running multiple download sessions on the same connection may lead to temporary blocks or throttling.

Features

  • Download videos with comments, thumbnails, and metadata
  • Download Seiga images and manga
  • Download a user's or channel's videos
  • Download mylists
  • Download videos faster using multiple threads
  • Generate stream URLs for Niconama broadcasts
  • Process lists of URLs from text files

Requirements

Python version

  • Python >=3.5.3

Dependencies

  • aiohttp
  • aiohttp-socks
  • beautifulsoup4
  • requests

Installation

pip install nndownload

Binaries for Windows are available on the releases page.

Usage

CLI

usage: nndownload.py [options] input

positional arguments:
  input                 URLs or files

optional arguments:
  -h, --help            show this help message and exit
  -u USERNAME, --username USERNAME
                        account username
  -p PASSWORD, --password PASSWORD
                        account password
  -n, --netrc           use .netrc authentication
  -q, --quiet           suppress output to console
  -l, --log             log output to file
  -v, --version         show program's version number and exit

download options:
  -y PROXY, --proxy PROXY
                        http or socks proxy
  -o TEMPLATE, --output-path TEMPLATE
                        custom output path (see template options)
  -r N, --threads N     download using a specified number of threads
  -g, --no-login        create a download session without logging in
  -f, --force-high-quality
                        only download if the high quality source is available
  -m, --dump-metadata   dump video metadata to file
  -t, --download-thumbnail
                        download video thumbnail
  -c, --download-comments
                        download video comments
  -e, --english         request video on english site
  -aq AUDIO_QUALITY, --audio-quality AUDIO_QUALITY
                        specify audio quality (DMC videos only)
  -vq VIDEO_QUALITY, --video-quality VIDEO_QUALITY
                        specify video quality (DMC videos only)
  -s, --skip-media      skip downloading media

Module

import nndownload

url = "https://www.nicovideo.jp/watch/sm35249846"
output_path = "/tmp/{id}.{ext}"
nndownload.execute("-g", "-o", output_path, url)

Custom Output Paths

Custom filepaths are constructed like standard Python template strings, e.g. {uploader} - {title}.{ext}. For Seiga manga, the output path should be the template for a chapter directory, e.g. {manga_id}\{id} - {title}. The available options are:

  • comment_count
  • description
  • duration
  • ext
  • id
  • mylist_count
  • published
  • quality
  • size_high
  • size_low
  • thread_id
  • thumbnail_url
  • title
  • uploader
  • uploader_id
  • url
  • view_count
  • audio_quality (DMC)
  • video_quality (DMC)
  • manga_id (Seiga, manga)
  • manga_title (Seiga, manga)
  • page_count (Seiga, manga)
  • clip_count (Seiga, images)

Using Stream Links

After generating a stream URL, the program must be kept running to keep the stream active. mpv and streamlink are the best options for playing generated stream URLs. Other programs that use aggressive HLS caching and threading may also work.

mpv https://... streamlink https://... best

Known Bugs

  • Check open issues.

License

This project is licensed under the MIT License.

Project details


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Source Distribution

nndownload-1.5.tar.gz (19.3 kB view hashes)

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