{"id":20074050,"url":"https://github.com/matheussc017/passmarkwebscraping","last_synced_at":"2026-04-12T18:02:51.759Z","repository":{"id":52215503,"uuid":"518775415","full_name":"MatheusSC017/PassMarkWebScraping","owner":"MatheusSC017","description":"Script for extracting data from hardware such as video card, hard disk and CPU","archived":false,"fork":false,"pushed_at":"2023-01-11T10:45:13.000Z","size":6550,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-13T00:33:25.767Z","etag":null,"topics":["pandas","python","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MatheusSC017.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}},"created_at":"2022-07-28T09:06:49.000Z","updated_at":"2023-01-11T10:45:40.000Z","dependencies_parsed_at":"2023-02-09T02:45:39.735Z","dependency_job_id":null,"html_url":"https://github.com/MatheusSC017/PassMarkWebScraping","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/MatheusSC017%2FPassMarkWebScraping","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MatheusSC017%2FPassMarkWebScraping/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MatheusSC017%2FPassMarkWebScraping/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MatheusSC017%2FPassMarkWebScraping/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MatheusSC017","download_url":"https://codeload.github.com/MatheusSC017/PassMarkWebScraping/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241504321,"owners_count":19973219,"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":["pandas","python","webscraping"],"created_at":"2024-11-13T14:49:14.484Z","updated_at":"2026-04-12T18:02:51.653Z","avatar_url":"https://github.com/MatheusSC017.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Web Scraping - PassMark\n\nScript for extracting data from hardware such as video card, hard disk and CPU, allowing raw/clean data to be obtained in two formats:\n\n- Python list;\n- Pandas dataframe;\n\nAnother functionality present in the class responsible for extracting the data is the save() function that exports the data to an excel file.\n\nIn this project, the BeautifullSoup4 library was used to extract data from the PassMark site, respecting the robot.txt file guidelines. For more details, consult the documentation present in the script itself.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatheussc017%2Fpassmarkwebscraping","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatheussc017%2Fpassmarkwebscraping","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatheussc017%2Fpassmarkwebscraping/lists"}