{"id":19637650,"url":"https://github.com/iv4n-ga6l/ExcelExtractorJsonPDF","last_synced_at":"2025-04-28T09:31:49.445Z","repository":{"id":239331319,"uuid":"799232839","full_name":"iv4n-ga6l/ExcelExtractorJsonPDF","owner":"iv4n-ga6l","description":"Python package for converting data from Excel to JSON and PDF","archived":false,"fork":false,"pushed_at":"2024-05-11T17:40:11.000Z","size":29,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-15T19:51:01.560Z","etag":null,"topics":["excelparser","package","pandas","python","reportlab"],"latest_commit_sha":null,"homepage":"https://pypi.org/project/ExcelExtractorJsonPDF/0.2/","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/iv4n-ga6l.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2024-05-11T14:26:01.000Z","updated_at":"2024-06-19T20:49:30.000Z","dependencies_parsed_at":"2024-05-12T17:00:20.494Z","dependency_job_id":null,"html_url":"https://github.com/iv4n-ga6l/ExcelExtractorJsonPDF","commit_stats":null,"previous_names":["ivangael/excelextractor","ivangael/excelextractorjsonpdf","iv4n-ga6l/excelextractorjsonpdf"],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iv4n-ga6l%2FExcelExtractorJsonPDF","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iv4n-ga6l%2FExcelExtractorJsonPDF/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iv4n-ga6l%2FExcelExtractorJsonPDF/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iv4n-ga6l%2FExcelExtractorJsonPDF/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/iv4n-ga6l","download_url":"https://codeload.github.com/iv4n-ga6l/ExcelExtractorJsonPDF/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251284898,"owners_count":21564691,"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":["excelparser","package","pandas","python","reportlab"],"created_at":"2024-11-11T12:35:39.113Z","updated_at":"2025-04-28T09:31:48.060Z","avatar_url":"https://github.com/iv4n-ga6l.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ExcelExtractorJsonPDF\r\n\r\nExcelExtractorJsonPDF is a Python package designed to simplify the process of converting data from Excel files to JSON and PDF formats. It provides easy-to-use functions that can adapt to any type of Excel file, allowing users to customize column headers and attributes dynamically.\r\n\r\n## Features\r\n\r\n- Convert Excel files to JSON format.\r\n- Generate PDF reports from JSON data.\r\n- Customize column headers and attributes for flexible data processing.\r\n\r\n## Installation\r\n\r\nYou can install ExcelExtractorJsonPDF via pip:\r\n\r\n```\r\npip install ExcelExtractorJsonPDF\r\n```\r\n\r\n\r\n## Usage\r\n\r\n```\r\nfrom ExcelExtractorJsonPDF.converter import excel_to_json, json_to_pdf\r\n\r\n# Example usage:\r\nexcel_file_path = 'path/to/your/excel/file.xlsx'\r\ntable_header = [\"Recruiters\", \"Cabinets\", \"LinkedIn\", \"Mail\"]\r\nattrs = [\"Recruteurs\", \"Cabinets\", \"LinkedIn\", \"Mail Pylote\"]\r\n\r\njson_data = excel_to_json(excel_file_path, attrs)\r\npdf_output_path = 'output.pdf'\r\n\r\nresult = json_to_pdf(json_data, pdf_output_path, table_header, attrs)\r\nif 'error' in result:\r\n    print(f'Error: {result[\"error\"]}')\r\nelse:\r\n    print(f'Success! PDF report generated at {pdf_output_path}')\r\n```\r\n\r\nReplace 'path/to/your/excel/file.xlsx' with the path to your Excel file. Customize table_header and attrs according to your Excel file's column headers and attributes.\r\n\r\n\r\n## Requirements\r\n- pandas\r\n- reportlab\r\n\r\n## License\r\nThis project is licensed under the MIT [License](LICENSE.md)\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiv4n-ga6l%2FExcelExtractorJsonPDF","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiv4n-ga6l%2FExcelExtractorJsonPDF","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiv4n-ga6l%2FExcelExtractorJsonPDF/lists"}