Extensions & Plugins

📗 XActions Excel Plugin

Export scraped X/Twitter data to styled Excel (.xlsx) files with auto-filters, frozen headers, and multi-sheet workbooks.

Plugin: xactions-plugin-excel
Author: nich (@nichxbt)

🖥️ CLI Usage

All scrape commands now support .xlsx output:

# Scrape followers to Excel
xactions followers @nichxbt -o followers.xlsx

# Scrape tweets to Excel with custom sheet name
xactions tweets @nichxbt -l 200 -o tweets.xlsx --sheet-name "Tweets 2026"

# Scrape following to Excel
xactions following @nichxbt -o following.xlsx

📚 Multi-Sheet Workbooks

Combine multiple datasets into a single Excel file:

import { exportMultiSheet } from 'xactions/plugins/excel';

const result = await exportMultiSheet({
  'Followers': followersData,
  'Following': followingData,
  'Tweets': tweetsData,
  'Non-Followers': nonFollowersData,
}, {
  filepath: './twitter-audit.xlsx',
});

console.log(`✅ Created ${result.sheets.length}-sheet workbook with ${result.totalRows} total rows`);

🤖 MCP Tools (AI Agents)

Tool	Description
`x_export_to_excel`	Export data to a styled .xlsx file
`x_export_multi_sheet_excel`	Export multiple datasets to separate sheets
`x_read_from_excel`	Read an .xlsx file into JSON objects

Example AI agent prompt:

"Scrape @nichxbt's followers and tweets, then save them as separate sheets in an Excel file."

🔌 REST API

Method	Path	Description
`POST`	`/api/plugins/xactions-plugin-excel/export`	Export data to .xlsx
`POST`	`/api/plugins/xactions-plugin-excel/export-multi`	Multi-sheet export
`POST`	`/api/plugins/xactions-plugin-excel/read`	Read .xlsx into JSON

📖 API Reference

`exportToExcel(data, options)`

Option	Type	Default	Description
`filepath`	`string`	required	Output .xlsx path
`sheetName`	`string`	`'Data'`	Sheet/tab name
`columns`	`string[]`	all keys	Explicit column order
`autoFilter`	`boolean`	`true`	Add auto-filter to headers
`autoWidth`	`boolean`	`true`	Auto-fit column widths
`styled`	`boolean`	`true`	Apply header + alternating row styling
`freezeHeader`	`boolean`	`true`	Freeze the header row

Returns: { success, filepath, rowsWritten, columnsWritten, headers, fileSize }

`exportMultiSheet(sheets, options)`

Option	Type	Default	Description
`sheets`	`Object`	required	`{ "SheetName": data[], ... }`
`filepath`	`string`	required	Output .xlsx path
`styled`	`boolean`	`true`	Apply styling

Returns: { success, filepath, sheets: [{ sheetName, rows, columns }], totalRows, fileSize }

`readFromExcel(options)`

Option	Type	Default	Description
`filepath`	`string`	required	Path to .xlsx file
`sheetName`	`string`	first sheet	Sheet name to read

Returns: Object[] — array of objects keyed by header row

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