{"id":24605891,"url":"https://github.com/flofriday/youtube-data","last_synced_at":"2026-03-17T11:31:44.465Z","repository":{"id":109530800,"uuid":"275250061","full_name":"flofriday/youtube-data","owner":"flofriday","description":"Jupyter Notebook to analyze your YouTube data.","archived":false,"fork":false,"pushed_at":"2020-07-07T20:19:04.000Z","size":680,"stargazers_count":16,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-05T19:03:40.191Z","etag":null,"topics":["data-science","jupyter","jupyter-lab","personal-data","python3","youtube"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/flofriday.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-06-26T21:22:13.000Z","updated_at":"2024-04-16T22:16:57.000Z","dependencies_parsed_at":"2023-04-20T15:19:01.856Z","dependency_job_id":null,"html_url":"https://github.com/flofriday/youtube-data","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/flofriday/youtube-data","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flofriday%2Fyoutube-data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flofriday%2Fyoutube-data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flofriday%2Fyoutube-data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flofriday%2Fyoutube-data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/flofriday","download_url":"https://codeload.github.com/flofriday/youtube-data/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/flofriday%2Fyoutube-data/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30622706,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-17T11:26:08.186Z","status":"ssl_error","status_checked_at":"2026-03-17T11:24:37.311Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","jupyter","jupyter-lab","personal-data","python3","youtube"],"created_at":"2025-01-24T16:33:16.868Z","updated_at":"2026-03-17T11:31:44.450Z","avatar_url":"https://github.com/flofriday.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# youtube-data\nTelegram bot and Jupyter Notebook to analyze your YouTube data.\n\n*[Try the bot](https://t.me/youtube_data_bot)*\n\n## Screenshot\n![Screenshot](screenshot.png)\n\nThe notebook can do more than just tell you what creators you watch the most, so just try it out.\n\n## Run the bot\n### Requirements\n1) install docker\n\n### Run it \n```\ndocker build -t youtubebot-template .\ndocker run -e TELEGRAM_TOKEN='XXXX' --rm --name youtubebot-container youtubebot-template\n```\nReplace `XXXX` with your telegram token.\n\nNote: This way all data will be lost once you shut down the bot. To prevent \nthis you can start the bot with a mounted docker volume.\n```\ndocker build -t youtubebot-template .\ndocker volume create youtubebot-volume\ndocker run -d --restart unless-stopped \\\n      -e TELEGRAM_TOKEN='XXXX' \\\n      --mount type=volume,source=youtubebot-volume,target=/app/data \\\n      --name youtubebot-container youtubebot-template\n```\n\n## Run the jupyter notebook\n### Requirements\n1) Install jupyter lab [Website](https://jupyter.org/install.html)\n2) Add the ipywidgets extension to jupyter lab [Website](https://github.com/jupyter-widgets/ipywidgets#install)\n3) Install python libaries used for this notebook `pip install pandas numpy matplotlib ipywidgets`\n\n### Run it \n1) Download your youtube data (and select Format=JSON) [Website](https://takeout.google.com/)\n2) Copy the folder \"Takeout\" into the folder with the Notebook. (Note: I just got a notice that this only works if your language is set to english. If that is not the case you need to modify the path in the first code-cell. This bug will be fixed in the next commits.)\n3) Run the notebook with `jupyter lab PATH-TO-NOTEBOOK`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflofriday%2Fyoutube-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fflofriday%2Fyoutube-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflofriday%2Fyoutube-data/lists"}