twspace-dl

Updated 08242022-003904

pip install twspace-dl
pip install twspace-dl

Source

twspace_dl -i https://twitter.com/i/spaces/1lPJqmvyllWJb -o 1lPJqmvyllWJb

README

Twspace-dl

PyPI PyPI DLs Github Releases DLs

A python module to download twitter spaces.

Screensots

GUI

general tab input tab running tab success pop up

CLI

help running

Requirements

ffmpeg if not using portable binaries

Install

GUI

Use this if you're not sure.

From portable binaries

Windows

From source

pip install git+https://github.com/HoloArchivists/twspace-dl@gooey

CLI

From portable binaries

Windows

From PyPI

pip install twspace-dl

From source

pip install git+https://github.com/HoloArchivists/twspace-dl

Usage

twspace_dl -i space_url
With binaries

Windows

.\twspace_dl.exe -i space_url

Features

Here's the output of the help option

usage: twspace_dl [-h] [-v] [-s] [-k] [-l] [--input-cookie-file COOKIE_FILE]
                  [--username USERNAME] [--password PASSWORD]
                  [--output-cookie-file OUTPUT_COOKIE_FILE]
                  [-i SPACE_URL | -U USER_URL] [-d DYN_URL] [-f URL] [-M PATH]
                  [-o FORMAT_STR] [-m] [-p] [-u] [--write-url URL_OUTPUT]

Script designed to help download twitter spaces

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose
  -s, --skip-download
  -k, --keep-files
  -l, --log             create logfile
  --input-cookie-file COOKIE_FILE

input:
  -i SPACE_URL, --input-url SPACE_URL
  -U USER_URL, --user-url USER_URL
  -d DYN_URL, --from-dynamic-url DYN_URL
                        use the dynamic url for the processes(useful for ended
                        spaces) example: https://prod-fastly-ap-northeast-1.vi
                        deo.pscp.tv/Transcoding/v1/hls/zUUpEgiM0M18jCGxo2eSZs9
                        9p49hfyFQr1l4cdze-Sp4T-DQOMMoZpkbdyetgfwscfvvUkAdeF-I5
                        hPI4bGoYg/non_transcode/ap-northeast-1/periscope-
                        replay-direct-prod-ap-northeast-1-public/audio-
                        space/dynamic_playlist.m3u8?type=live
  -f URL, --from-master-url URL
                        use the master url for the processes(useful for ended
                        spaces) example: https://prod-fastly-ap-northeast-1.vi
                        deo.pscp.tv/Transcoding/v1/hls/YRSsw6_P5xUZHMualK5-ihv
                        ePR6o4QmoZVOBGicKvmkL_KB9IQYtxVqm3P_vpZ2HnFkoRfar4_uJO
                        jqC8OCo5A/non_transcode/ap-northeast-1/periscope-
                        replay-direct-prod-ap-northeast-1-public/audio-
                        space/master_playlist.m3u8
  -M PATH, --input-metadata PATH
                        use a metadata json file instead of input url (useful
                        for very old ended spaces)

output:
  -o FORMAT_STR, --output FORMAT_STR
  -m, --write-metadata  write the full metadata json to a file
  -p, --write-playlist  write the m3u8 used to download the stream(e.g. if you
                        want to use another downloader)
  -u, --url             display the master url
  --write-url URL_OUTPUT
                        write master url to file

login:
  --username USERNAME
  --password PASSWORD
  --output-cookie-file OUTPUT_COOKIE_FILE

Format

You can use the following identifiers for the formatting

%(title)s
%(id)s
%(start_date)s
%(creator_name)s
%(creator_screen_name)s
%(url)s
%(creator_id)s

Example: [%(creator_screen_name)s]-%(title)s|%(start_date)s

Known Errors

Changing ID3 metadata in HLS audio elementary stream is not implemented....

This is an error in ffmpeg that does not affect twspace_dl at all as far as I know.

Service

To run as a systemd service please refer to https://github.com/HoloArchivists/twspace-dl/blob/main/SERVICE.md

Docker

Run once

Use ${pwd} in powershell, or $(pwd) in bash

docker run --rm -v ${pwd}:/output ryu1845/twspace-dl -i space_url

Run as monitoring service

Using a cookie can help solve some problem with the twitter api. However, using one is not necessary.

Without cookie

  1. Download the docker-compose.yml, .env, monitor.sh files and put them in a folder named twspace-dl.
  2. Edit .env and fill in the Twitter username you want to monitor.
  3. [Optional] If you want to used a cookies file, put it into the folder and named it cookies.txt.
  4. docker-compose up -d