# XLSX Range Extractor

Extract a specific sheet/range/named-range from Excel into JSON with coordinates or record objects

> Canonical page: https://elysiatools.com/en/tools/xlsx-range-extractor

- **Category:** Format Conversion

- **Keywords:** xlsx, excel, range, named range, extract, json, sheet

## Overview

Extract partial spreadsheet data as JSON.

- Pick a worksheet by name
- Extract by explicit A1 range or by named range
- Output as cell objects (with row/column/address) or records (header-based objects)

## Inputs

- **Excel File** (file)
- **Extract Mode** (select)
- **Sheet Name** (text): Sheet1
- **A1 Range** (text): A1:D100
- **Named Range** (text): SalesRegion
- **Header Row (for records)** (number)
- **Include Row/Col Coordinates** (checkbox)
- **Drop Blank Cells/Rows** (checkbox)

## When to use

- When you need to isolate specific data segments from large, complex Excel workbooks for API integration.
- When you want to convert spreadsheet tables into JSON records using a specific row as the header.
- When you need to preserve cell-level metadata, such as row and column indices, for programmatic analysis.

## How it works

- Upload your Excel file and select your preferred extraction mode: 'Cell Objects' for coordinate-based data or 'Record Objects' for structured JSON arrays.
- Define the target data by specifying a sheet name, an explicit A1 range, or a pre-defined named range.
- Configure optional settings like the header row index or toggle coordinate inclusion to tailor the output to your schema requirements.
- Process the file to generate and download your structured JSON output.

## Use cases

- Converting Excel-based configuration tables into JSON files for web application settings.
- Extracting specific data regions from financial reports to feed into automated data visualization dashboards.
- Parsing legacy Excel data into structured JSON records for database migration or API testing.

## Frequently asked questions

### Can I extract data from a specific sheet?

Yes, you can specify the sheet name in the settings to target data exclusively from that worksheet.

### What is the difference between Cell Objects and Record Objects?

Cell Objects return individual cells with their row/column coordinates, while Record Objects treat the first row as headers to create an array of key-value objects.

### Does the tool support named ranges?

Yes, you can input the name of a defined range directly to extract that specific area without needing to know the exact A1 coordinates.

### Can I remove empty cells from the output?

Yes, the 'Drop Blank Cells/Rows' option is enabled by default to ensure your JSON output remains clean and concise.

### What file formats are supported?

The tool supports standard Excel formats, including .xlsx and .xls files.

## Related tools

- [Excel to JSON Converter](https://elysiatools.com/en/tools/excel-to-json): Convert Excel file to JSON format, extracting data from the first worksheet
- [JSON-LD Generator from CSV](https://elysiatools.com/en/tools/json-ld-generator-from-csv): Turn CSV or Excel rows into Schema.org JSON-LD for articles, products, or events, with validation-ready output for SEO workflows
- [XLSX Chart Embedder](https://elysiatools.com/en/tools/xlsx-chart-embedder): Embed generated chart images into Excel workbooks using workbook data ranges for bar or pie chart reports
- [XLSX JSON Transformer](https://elysiatools.com/en/tools/xlsx-json-transformer): Bidirectional conversion between JSON arrays and Excel sheets, with nested object flattening and restoration
- [XLSX Multi Sheet Splitter](https://elysiatools.com/en/tools/xlsx-multi-sheet-splitter): Split a multi-sheet workbook into independent files by sheet name, with ZIP output
- [XLSX Sheet To JSON Schema](https://elysiatools.com/en/tools/xlsx-sheet-to-json-schema): Infer JSON Schema from worksheet headers and sample rows with types, enum candidates, and basic constraints
- [XLSX Sparkline Injector](https://elysiatools.com/en/tools/xlsx-sparkline-injector): Inject Excel sparklines into worksheet cells by patching XLSX sheet XML with sparkline definitions
- [XLSX Conditional Formatting Rule](https://elysiatools.com/en/tools/xlsx-conditional-formatting-rule): Batch-apply conditional formatting rules such as threshold highlights, data bars, and color scales to Excel worksheets

## Samples

- [XLSX Samples](https://elysiatools.com/en/samples/xlsx-samples): Sample XLSX spreadsheets for worksheet parsing and data extraction testing
- [XLS Samples](https://elysiatools.com/en/samples/xls-samples): Sample legacy Excel (XLS) files for binary spreadsheet parsing and import tests
- [Android Serialization Java Samples](https://elysiatools.com/en/samples/android-serialization-java): Android Java serialization examples including JSON serialization, deserialization, and XML parsing
- [Android Serialization Kotlin Samples](https://elysiatools.com/en/samples/android-serialization-kotlin): Android Kotlin serialization examples including JSON serialization, deserialization, and XML parsing

## Related content

- [Single-Workbook XLSX Cleaning and Field Mapping](https://elysiatools.com/en/hubs/xlsx-single-workbook-cleaning-and-mapping): A focused workflow for one workbook or one worksheet: select a range, map headers, convert the cleaned table to JSON, and review source, type, null, and duplicate behavior without expanding into batch ingestion or warehouse delivery.
- [XLSX ETL Ingestion and Warehouse Handoff](https://elysiatools.com/en/hubs/xlsx-etl-ingestion-workflows): Turn mixed workbook and CSV sources into traceable, schema-aware outputs for SQL loading, Parquet pipelines, and object-storage batch handoff.