{"id":18621998,"url":"https://github.com/pratyush1712/data-engineering","last_synced_at":"2026-04-20T10:06:09.706Z","repository":{"id":188767246,"uuid":"679397604","full_name":"pratyush1712/data-engineering","owner":"pratyush1712","description":"Cornell Financial Data Collection leverages Python, Selenium, and NLP to aggregate and analyze financial data from Cornell's corporate donors, offering a unique exploration of data collection and analysis techniques.","archived":false,"fork":false,"pushed_at":"2023-08-16T18:41:21.000Z","size":447,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-17T05:11:40.134Z","etag":null,"topics":["flask","nextjs","nlp","parallel-computing","selenium-webdriver","server-side-events"],"latest_commit_sha":null,"homepage":"","language":"Python","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/pratyush1712.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}},"created_at":"2023-08-16T18:40:27.000Z","updated_at":"2023-08-16T18:44:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"f003ac1c-9532-443a-b781-e6495df78ed7","html_url":"https://github.com/pratyush1712/data-engineering","commit_stats":null,"previous_names":["pratyush1712/data-engineering"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/pratyush1712/data-engineering","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pratyush1712%2Fdata-engineering","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pratyush1712%2Fdata-engineering/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pratyush1712%2Fdata-engineering/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pratyush1712%2Fdata-engineering/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pratyush1712","download_url":"https://codeload.github.com/pratyush1712/data-engineering/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pratyush1712%2Fdata-engineering/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32042323,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-20T00:18:06.643Z","status":"online","status_checked_at":"2026-04-20T02:00:06.527Z","response_time":94,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["flask","nextjs","nlp","parallel-computing","selenium-webdriver","server-side-events"],"created_at":"2024-11-07T04:14:30.078Z","updated_at":"2026-04-20T10:06:09.685Z","avatar_url":"https://github.com/pratyush1712.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Cornell Innovation and Entrepreneurship - Data Analysis Platform\r\n\r\nCentralized data analysis platform for the Cornell Innovation and Entrepreneurship Lab. This repository contains scripts for data collection, data cleaning, and data analysis.\r\n\r\n## Getting Started\r\n\r\n### Prerequisites\r\n\r\n- Python 3.9\r\n- pip\r\n- virtualenv\r\n- Cornell Email\r\n\r\n### Installation\r\n\r\n1. Clone the repository\r\n\r\n```bash\r\ngit clone\r\n```\r\n\r\n2. Create a virtual environment\r\n\r\n```bash\r\nvirtualenv venv\r\n```\r\n\r\n3. Activate the virtual environment\r\n\r\n```bash\r\nsource venv/bin/activate\r\n```\r\n\r\n4. CD into the server repository\r\n\r\n```bash\r\ncd server\r\n```\r\n\r\n5. Install the dependencies\r\n\r\n```bash\r\npip install -r requirements.txt\r\n```\r\n\r\n6. Create a .env file in the server directory\r\n\r\n```bash\r\ntouch .env\r\n```\r\n\r\n7. Add the following environment variables to the .env file\r\n\r\n```bash\r\nexport CORNELL_NETID = \"your_cornell_netid\"\r\nexport CORNELL_PASSWORD = \"your_cornell_password\"\r\nexport CAPITAL_IQ_USERNAME = \"your_capital_iq_username\"\r\nexport CAPITAL_IQ_PASSWORD = \"your_capital_iq_password\"\r\n```\r\n\r\n8. Source the .env file\r\n\r\n```bash\r\nsource .env\r\n```\r\n\r\n9. Run the server\r\n\r\n```bash\r\npython app.py\r\n```\r\n\r\n10. Open a new terminal window and CD into the client repository\r\n\r\n```bash\r\ncd cornell-data\r\n```\r\n\r\n11. Install the dependencies\r\n\r\n```bash\r\nnpm install\r\n```\r\n\r\n12. Run the client\r\n\r\n```bash\r\nnpm start\r\n```\r\n\r\n## Usage\r\n\r\nThe platform could be used to collect companies data in the following ways:\r\n\r\n1. Collecting data of list of companies from Capital IQ, Mergent Intellect, or Guidestar websites, individually.\r\n\r\n```bash\r\ncd scraping\r\n```\r\n\r\n```bash\r\npython index.py --source\r\n```\r\n\r\n2. Collecting data of list of companies from Capital IQ, Mergent Intellect, or Guidestar websites, in bulk.\r\n\r\n```bash\r\npython index.py\r\n```\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpratyush1712%2Fdata-engineering","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpratyush1712%2Fdata-engineering","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpratyush1712%2Fdata-engineering/lists"}