{"id":22982712,"url":"https://github.com/nisch-mhrzn/scraping","last_synced_at":"2026-04-30T10:35:03.994Z","repository":{"id":266495482,"uuid":"898458773","full_name":"nisch-mhrzn/Scraping","owner":"nisch-mhrzn","description":"This project scrapes data from Wikipedia about the largest U.S. companies by revenue using Python's  requests  and  BeautifulSoup libraries.","archived":false,"fork":false,"pushed_at":"2024-12-04T14:37:57.000Z","size":46,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T01:17:14.417Z","etag":null,"topics":["beautifulsoup","python","requests","webscrapping"],"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/nisch-mhrzn.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":"2024-12-04T12:37:57.000Z","updated_at":"2024-12-04T14:40:25.000Z","dependencies_parsed_at":"2024-12-04T15:44:57.850Z","dependency_job_id":null,"html_url":"https://github.com/nisch-mhrzn/Scraping","commit_stats":null,"previous_names":["nisch-mhrzn/scraping"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nisch-mhrzn%2FScraping","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nisch-mhrzn%2FScraping/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nisch-mhrzn%2FScraping/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nisch-mhrzn%2FScraping/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nisch-mhrzn","download_url":"https://codeload.github.com/nisch-mhrzn/Scraping/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246794180,"owners_count":20834937,"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":["beautifulsoup","python","requests","webscrapping"],"created_at":"2024-12-15T02:22:19.131Z","updated_at":"2026-04-30T10:34:58.945Z","avatar_url":"https://github.com/nisch-mhrzn.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Web Scraping Project: \nLargest Companies in the United States by Revenue\n\n## Overview\nThis project involves scraping data from the Wikipedia page listing the largest companies in the United States by revenue. The data can be used for analysis, visualization, or other purposes.\n\n## Requirements\nTo run this project, you'll need the following Python libraries:\n- `requests`\n- `beautifulsoup4`\n\nYou can install these libraries using pip:\n\n```bash\npip install requests beautifulsoup4\n```\n\n## Usage\n1. **Clone the repository** (if applicable):\n   ```bash\n   git clone https://github.com/nisch-mhrzn/Scraping.git\n   cd Scraping\n   ```\n2. **Data Extraction**:\n   The script fetches the HTML content from the specified Wikipedia URL and parses it to extract relevant information about the largest companies.\n\n## Code Explanation\nThe main components of the script include:\n\n- **Fetching the page**:\n  ```python\n  url = 'https://en.wikipedia.org/wiki/List_of_largest_companies_in_the_United_States_by_revenue'\n  page = requests.get(url)\n  ```\n\n- **Parsing the HTML**:\n  ```python\n  soup = BeautifulSoup(page.text, 'html')\n  ```\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnisch-mhrzn%2Fscraping","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnisch-mhrzn%2Fscraping","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnisch-mhrzn%2Fscraping/lists"}