{"id":21000978,"url":"https://github.com/rickyarians/scrappy-do","last_synced_at":"2026-04-15T22:35:20.385Z","repository":{"id":165298286,"uuid":"640535109","full_name":"Rickyarians/Scrappy-do","owner":"Rickyarians","description":"Projek ini dikembangkan sebagai salah satu capstone project dari Algoritma Academy Data Analytics Specialization. Deliverables yang diharapkan dari projek ini adalah melakukan simple webscrapping untuk mendapatkan informasi.","archived":false,"fork":false,"pushed_at":"2023-05-14T19:15:09.000Z","size":63,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-20T09:46:17.126Z","etag":null,"topics":["beautifulsoup4","data-science","data-visualization","flask","flask-application","pandas","webscraping"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Rickyarians.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2023-05-14T12:21:05.000Z","updated_at":"2023-05-14T18:58:31.000Z","dependencies_parsed_at":null,"dependency_job_id":"611dda5c-d1d9-4594-80d1-dc9c0f06afa7","html_url":"https://github.com/Rickyarians/Scrappy-do","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rickyarians%2FScrappy-do","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rickyarians%2FScrappy-do/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rickyarians%2FScrappy-do/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rickyarians%2FScrappy-do/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Rickyarians","download_url":"https://codeload.github.com/Rickyarians/Scrappy-do/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243418637,"owners_count":20287798,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["beautifulsoup4","data-science","data-visualization","flask","flask-application","pandas","webscraping"],"created_at":"2024-11-19T08:13:11.940Z","updated_at":"2025-12-29T22:43:57.428Z","avatar_url":"https://github.com/Rickyarians.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Web-Scrapping using Beautifulsoup\n\nProjek ini dikembangkan sebagai salah satu capstone project dari Algoritma Academy Data Analytics Specialization. Deliverables yang diharapkan dari projek ini adalah melakukan simple webscrapping untuk mendapatkan informasi.\n\n## Dependencies\n\n- beautifulSoup4\n- pandas\n- flask\n- matplotlib\n\ninstall requirements.txt dengan cara berikut\n\n```python\npip install -r requirements.txt\n```\n\n## Rubics\n\n- Environment preparation (2 points)\n- Finding the right key to scrap the data  \u0026 Extracting the right information (5 points)\n- Creating data frame \u0026 Data wrangling (5 points)\n- Creating a tidy python notebook as a report. (2 points)\n- Implement it on flask dashboard (2 points)\n\n\n### The Final Mission\n\n(Hard) Data pekerjaan data di indonesia pada  `https://www.kalibrr.id/job-board/te/data/1`\n\n    * Dari Halaman tersebut carilah `title pekerjaan` , `lokasi pekerjaan` , `tanggal pekerjaan di post dan dealine submit permohonan`, dan `perusahaan`\n    * tariklah 15 halaman\n    * Buatlah plot dari jumlah pekerjaan berdasarkan lokasi.\n\n\nHappy learning! \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickyarians%2Fscrappy-do","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frickyarians%2Fscrappy-do","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickyarians%2Fscrappy-do/lists"}