A practical Douyin downloader supporting videos, image-notes, collections, music, favorites collections, and profile batch downloads, with progress display, retries, SQLite deduplication, download integrity checks, and browser fallback support.

A desktop GUI built on the same backend, with dedicated workspaces for Douyin, TikTok, and YouTube. Paste a link to start, sync account content, follow every task, and manage downloaded works in a local archive.

• Three platforms: Douyin videos, galleries, profiles, and collections; TikTok videos, photos, and profiles; YouTube videos, Shorts, channels, and playlists
• Account content: sync Douyin following, favorites collections, collected series, and likes
• Visual workflow: multi-link queue, task status and retry controls, local download archive, filters, and quick re-download

Beta: The desktop app is currently in closed beta. To try it, download the build from the Releases page.

Douyin link download	TikTok download workspace	YouTube workbench
Paste a video, gallery, profile, or collection link and start in one click.	Download public videos, photo posts, and profiles without signing in.	Scan videos, Shorts, channels, and playlists, then configure video, MP3, or subtitle downloads.
Following management	Favorites and likes	Task Center
Sync creators, filter new works, add notes, and download directly from the list.	Browse collected videos, series, and liked works from the current Douyin account.	Track job results, retry failures, and open output folders.

Screenshots were captured from the current desktop main build. Demonstration data is used for privacy.

• Browser fallback is fully validated for post; like/mix/music currently relies on API pagination
• number.allmix / increase.allmix are retained as compatibility aliases and normalized to mix
• collect / collectmix currently work for the account represented by the logged-in cookies only
• collect / collectmix must be used alone and cannot be combined with post / like / mix / music
• increase currently applies to post / like / mix / music; favorites collection modes do not support incremental stop
• Live stream recording saves FLV natively; HLS sources only save the playlist (use ffmpeg for playable output)
• The webcast room endpoint is not verified against every live scenario — treat as experimental

• Python 3.8+
• macOS / Linux / Windows

pip install -r requirements.txt

For browser fallback and automatic cookie capture:

pip install playwright
python -m playwright install chromium

cp config.example.yml config.yml

python -m tools.cookie_fetcher --config config.yml

After logging into Douyin, return to the terminal and press Enter. Cookies will be written to your config automatically.

docker build -t douyin-downloader .
docker run -v $(pwd)/config.yml:/app/config.yml -v $(pwd)/Downloaded:/app/Downloaded douyin-downloader

link:
  - https://www.douyin.com/user/MS4wLjABAAAAxxxx

path: ./Downloaded/
mode:
  - post

number:
  post: 0
  collect: 0
  collectmix: 0

thread: 5
retry_times: 3
proxy: ""
database: true
database_path: dy_downloader.db

progress:
  quiet_logs: true

cookies:
  msToken: ""
  ttwid: YOUR_TTWID
  odin_tt: YOUR_ODIN_TT
  passport_csrf_token: YOUR_CSRF_TOKEN
  sid_guard: ""

browser_fallback:
  enabled: true
  headless: false
  max_scrolls: 240
  idle_rounds: 8
  wait_timeout_seconds: 600

transcript:
  enabled: false
  model: gpt-4o-mini-transcribe
  output_dir: ""
  response_formats: ["txt", "json"]
  api_url: https://api.openai.com/v1/audio/transcriptions
  api_key_env: OPENAI_API_KEY
  api_key: ""

python run.py -c config.yml

python run.py -c config.yml \
  -u "https://www.douyin.com/video/7604129988555574538" \
  -t 8 \
  -p ./Downloaded

link:
  - https://www.douyin.com/video/7604129988555574538

link:
  - https://www.douyin.com/note/7341234567890123456

link:
  - https://www.douyin.com/collection/7341234567890123456

link:
  - https://www.douyin.com/music/7341234567890123456

link:
  - https://www.douyin.com/user/MS4wLjABAAAAxxxx
mode:
  - post
number:
  post: 50

link:
  - https://www.douyin.com/user/MS4wLjABAAAAxxxx
mode:
  - like
number:
  like: 0    # 0 means download all

link:
  - https://www.douyin.com/user/MS4wLjABAAAAxxxx
mode:
  - post
  - like
  - mix
  - music

Cross-mode deduplication: the same aweme_id won't be downloaded twice across different modes.

link:
  - https://www.douyin.com/user/self?showTab=favorite_collection
mode:
  - collect
number:
  collect: 0

link:
  - https://www.douyin.com/user/self?showTab=favorite_collection
mode:
  - collectmix
number:
  collectmix: 0

link:
  - https://live.douyin.com/123456789   # or /follow/live/{room_id}
live:
  max_duration_seconds: 3600   # 0 = record until broadcaster ends
  chunk_size: 65536
  idle_timeout_seconds: 30

The recorder saves an FLV file under Downloaded/{author}/live/ plus a *_room.json metadata snapshot. If the broadcaster ends the stream, network goes idle, or you Ctrl+C, any already-recorded bytes are preserved (the .tmp file is promoted to the final file).

comments:
  enabled: true
  include_replies: false   # true will fetch each comment's second-level replies (extra API calls)
  max_comments: 500        # 0 = no cap
  page_size: 20

Generates a {date}_{title}_{aweme_id}_comments.json next to the media file.

python run.py --hot-board 30 -p ./Downloaded
# Output: ./Downloaded/hot_board/20260424_221530.jsonl

python run.py --search "猫咪" --search-max 100 -p ./Downloaded
# Output: ./Downloaded/search/猫咪_20260424_221530.jsonl

pip install fastapi uvicorn       # one-time optional dep
python run.py --serve --serve-port 8000

Endpoints:

Finished jobs are pruned by TTL (default 24h) and max-jobs (default 500) — in-flight jobs are never pruned. Configure via server.max_jobs / server.job_ttl_seconds.

notifications:
  enabled: true
  on_success: true
  on_failure: true
  providers:
    - type: bark
      url: https://api.day.app/YOUR_DEVICE_KEY
      sound: bell
    - type: telegram
      bot_token: "123456:ABC..."
      chat_id: "987654321"
    - type: webhook                 # works with 企业微信/飞书/钉钉 bot URLs too
      url: https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=xxx
      extra_body:
        msgtype: text

All enabled providers are notified in parallel; a failing provider never blocks the download flow.

increase:
  post: true

With true, the downloader skips an item only when its non-empty primary media already exists under the current download directory. Deleting the media file makes the next run download it again; SQLite history does not affect this decision.

Set a mode to false to redownload and atomically replace existing files within the current number/date/media filters.

number:
  post: 0

Current behavior applies to video items only (image-note items do not generate transcripts).

transcript:
  enabled: true
  model: gpt-4o-mini-transcribe
  output_dir: ""        # empty: same folder as video; non-empty: mirrored to target dir
  response_formats:
    - txt
    - json
  api_key_env: OPENAI_API_KEY
  api_key: ""           # can be set directly, or via environment variable

Recommended to provide key through environment variable:

export OPENAI_API_KEY="sk-xxxx"

When enabled, it generates:

• xxx.transcript.txt
• xxx.transcript.json

If database: true, job status is also recorded in SQLite table transcript_job (success/failed/skipped).

Recommended:

python3 -m pytest -q

Plain pytest is also supported now:

pytest -q

Default with folderstyle: true and database_path: dy_downloader.db:

workspace/
├── config.yml
├── dy_downloader.db          # default location when database: true
└── Downloaded/
    ├── download_manifest.jsonl
    ├── hot_board/                # when --hot-board is used
    │   └── 20260424_221530.jsonl
    ├── search/                   # when --search is used
    │   └── 猫咪_20260424_221530.jsonl
    └── AuthorName/
        ├── post/
        │   └── 2024-02-07_Title_aweme_id/
        │       ├── ...mp4
        │       ├── ..._cover.jpg
        │       ├── ..._music.mp3
        │       ├── ..._data.json
        │       ├── ..._avatar.jpg
        │       ├── ..._comments.json    # when comments.enabled
        │       ├── ...transcript.txt
        │       └── ...transcript.json
        ├── like/
        │   └── ...
        ├── mix/
        │   └── ...
        ├── music/
        │   └── ...
        ├── collect/
        │   └── ...
        ├── collectmix/
        │   └── ...
        └── live/                 # when recording live streams
            └── 2026-04-24_2215_LiveTitle_RoomId/
                ├── ...flv
                └── ..._room.json

The program uses a database record + local file dual check to decide whether to skip already-downloaded content. To force re-download, you need to clean up accordingly:

# Delete local files (folder name contains the aweme_id)
rm -rf Downloaded/AuthorName/post/*_<aweme_id>/

# Delete database record
sqlite3 dy_downloader.db "DELETE FROM aweme WHERE aweme_id = '<aweme_id>';"

rm -rf Downloaded/AuthorName/
sqlite3 dy_downloader.db "DELETE FROM aweme WHERE author_name = 'AuthorName';"

rm -rf Downloaded/
rm dy_downloader.db

Note: Deleting only the database but keeping files will NOT trigger re-download — the program scans local filenames for aweme_id to detect existing downloads. Deleting only files but keeping the database WILL trigger re-download (the program treats "in DB but missing locally" as needing retry).

This is a common pagination risk-control behavior. Make sure:

• browser_fallback.enabled: true
• browser_fallback.headless: false
• complete verification manually in the browser popup, and do not close it too early

By default, progress.quiet_logs: true suppresses logs during progress stage.
Use --show-warnings or -v temporarily when debugging.

Run:

python -m tools.cookie_fetcher --config config.yml

Check in order:

• whether transcript.enabled is true
• whether downloaded items are videos (image-notes are not transcribed)
• whether OPENAI_API_KEY (or transcript.api_key) is valid
• whether response_formats includes txt or json

sqlite3 dy_downloader.db "SELECT aweme_id, title, author_name, datetime(download_time, 'unixepoch', 'localtime') FROM aweme ORDER BY download_time DESC LIMIT 20;"

点击链接加入群聊【QQ群】：https://qm.qq.com/q/9xoNt8Wzv4

This project is for technical research, learning, and personal data management only. Please use it legally and responsibly:

• Do not use it to infringe others' privacy, copyright, or other legal rights
• Do not use it for any illegal purpose
• Users are solely responsible for all risks and liabilities arising from usage
• If platform policies or interfaces change and features break, this is a normal technical risk

By continuing to use this project, you acknowledge and accept the statements above.

This project is licensed under the MIT License. See LICENSE for details.

• LINUX DO