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async XLSX reader with low memory footprint","contributors":[{"name":"Michael Pelikan","url":"https://github.com/mpelikan"},{"name":"Mikuso","url":"https://github.com/mikuso"},{"name":"Vasil Velichkov","url":"https://github.com/velichkov"},{"name":"Laurence Hudson","url":"https://github.com/laurence-hudson-tessella"},{"name":"Chrisdf","url":"https://github.com/Chrisdf"}],"maintainers":[{"name":"ffalt","email":"ffalty@gmail.com"}],"readme":"# xlsx-extract\n\nStreaming XLSX reader with low memory footprint for Node.js.\n\nXLSX files can be pretty big. Full-featured xlsx modules can hit memory limits or use far more than necessary. `xlsx-extract` parses only what you need — sheet by sheet, row by row — without loading the entire file into memory.\n\n[![NPM](https://nodei.co/npm/xlsx-extract.png?downloads=true&downloadRank=true&stars=true)](https://www.npmjs.com/package/xlsx-extract)\n\n![test](https://github.com/ffalt/xlsx-extract/workflows/test/badge.svg)\n[![license](https://img.shields.io/npm/l/xlsx-extract.svg)](http://opensource.org/licenses/MIT)\n[![known vulnerabilities](https://snyk.io/test/github/ffalt/xlsx-extract/badge.svg)](https://snyk.io/test/github/ffalt/xlsx-extract)\n[![certification](https://api.codacy.com/project/badge/Grade/7bd868b2fb1c4f38ad9ef2ffb698c314)](https://app.codacy.com/gh/ffalt/xlsx-extract)\n[![total downloads](https://badgen.net/npm/dt/xlsx-extract)](https://badgen.net/npm/dt/xlsx-extract)\n\n\n## Install\n\n```\nnpm install xlsx-extract\n```\n\nRequires Node.js >= 20. XML parsing is done with [sax-js](https://github.com/isaacs/sax-js); ZIP extraction with [yauzl](https://github.com/thejoshwolfe/yauzl).\n\n## API\n\n```javascript\n// ES Modules\nimport { XLSX } from 'xlsx-extract';\n```\n\n```javascript\n// CommonJS\nconst { XLSX } = require('xlsx-extract');\n```\n\n### `extract(filename, options?)`\n\nStreams sheet/row/cell events from an XLSX file. Returns an `EventEmitter`.\n\n```javascript\nnew XLSX().extract('path/to/file.xlsx', { sheet_nr: '1' })\n  .on('sheet', (sheet) => {\n    // sheet: [sheetname, sheetid, sheetnr]\n    console.log('sheet', sheet);\n  })\n  .on('row', (row) => {\n    // row: array of values (format:'array') or formatted string (format:'tsv'/'json')\n    console.log('row', row);\n  })\n  .on('cell', (cell) => {\n    // cell: a single value or null\n    console.log('cell', cell);\n  })\n  .on('error', (err) => console.error(err))\n  .on('end', () => console.log('done'));\n```\n\n### `convert(filename, destfile, options?)`\n\nConverts an XLSX file to TSV or JSON and writes the result to `destfile`.\n\n```javascript\nnew XLSX().convert('path/to/file.xlsx', 'output.tsv')\n  .on('error', (err) => console.error(err))\n  .on('end', () => console.log('written'));\n\nnew XLSX().convert('path/to/file.xlsx', 'output.json')\n  .on('error', (err) => console.error(err))\n  .on('end', () => console.log('written'));\n```\n\n## Options\n\n```typescript\ninterface IXLSXExtractOptions {\n  // Sheet selection — provide one of:\n  sheet_name?: string;   // select by sheet name\n  sheet_nr?: string;     // default \"1\" — select by 1-based sheet number\n  sheet_id?: string;     // select by sheet id, e.g. \"1\"\n  sheet_rid?: string;    // select by internal sheet rid, e.g. \"rId1\"\n  sheet_all?: boolean;   // default false — iterate all sheets\n\n  // Row selection\n  ignore_header?: number;       // default 0 — skip this many header rows\n  include_empty_rows?: boolean; // default false — include empty rows\n\n  // Output format\n  format?: string; // 'array' (default) | 'json' | 'tsv' | 'obj'\n\n  // TSV options\n  tsv_float_comma?: boolean; // default false — use ',' as decimal separator\n  tsv_delimiter?: string;    // default '\\t'\n  tsv_endofline?: string;    // default os.EOL\n\n  // Value conversion\n  raw_values?: boolean;      // default false — skip all format conversion\n  round_floats?: boolean;    // default true — round floats per cell format\n  date1904?: boolean;        // default false — use 1904 date system\n  ignore_timezone?: boolean; // default false — ignore timezone in date parsing\n  convert_values?: {\n    ints?: boolean;    // round to int when number format is integer\n    floats?: boolean;  // round floats per number format\n    dates?: boolean;   // convert xlsx date serial to JS Date\n    bools?: boolean;   // convert xlsx bool to JS boolean\n  };\n\n  // XLSX structure\n  workfolder?: string; // default 'xl' — workbook subfolder in the ZIP\n}\n```\n\n\n\n## CLI Usage\n\nThe package includes the `xlsxe` command-line tool.\n\n```\nxlsxe [file] [destfile] [options]\n\nArguments:\n  file          source .xlsx file\n  destfile      destination file (tsv or json)\n\nOptions:\n  -f, --file <file>    source .xlsx\n  -d, --dest <file>    destination file\n  -m, --mode <mode>    output format: json or tsv (default: tsv)\n  -s, --sheet <nr>     sheet number (default: 1)\n  -n, --header <nr>    number of header rows to skip\n  -e, --empty          include empty rows\n  -r, --raw            do not convert values\n  --d1904              use 1904 date base\n```\n\n**Examples:**\n\n```bash\n# Print sheet 1 as TSV to stdout\nxlsxe data.xlsx\n\n# Convert to TSV file\nxlsxe data.xlsx output.tsv\n\n# Convert sheet 2 to JSON, skipping 1 header row\nxlsxe data.xlsx output.json --sheet 2 --header 1 --mode json\n```\n\n\n## Output Formats\n\n| `format`          | `row` event value                            | `cell` event value         |\n|-------------------|----------------------------------------------|----------------------------|\n| `array` (default) | `any[]` — array of cell values               | single value or `null`     |\n| `tsv`             | tab-separated string                         | tab-separated value string |\n| `json`            | JSON array string (one row)                  | JSON value string          |\n| `obj`             | `Record<string, any>` keyed by column header | single value or `null`     |\n","readmeFilename":"README.md","users":{"frankl83":true}}