JSON to Excel Converter
Convert JSON into a clean Excel file for easier analysis and sharing. Turn API responses and data exports into organized spreadsheets in seconds.
Convert JSON Data Into ExcelTurn JSON strings or uploaded files into structured spreadsheets with Thunderbit. Use the Chrome extension to extract and organize data fast, with no coding or manual copy work.
Install fromChrome Web Store
Convert JSON Data Into Excel
Need to turn web data, API responses, or file exports into a spreadsheet-ready format? Thunderbit helps you scrape data from websites, subpages, PDFs, docs, and images, then structure and format it for cleaner analysis.
You can summarize, categorize, and organize fields before exporting to Google Sheets, Airtable, or Notion. It also supports free data export and easy conversion into Excel-friendly tables for reporting and workflow use.
How to Convert JSON to Excel Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen the Thunderbit Chrome Extension, then go to the JSON to Excel Converter tool. Choose either the Paste JSON Data tab to enter your JSON as a plain text array of objects, or the Choose a JSON File tab to upload a JSON file.
STEP 3Click the Convert to Excel ButtonClick the Convert to Excel button. Thunderbit will transform each JSON object into a spreadsheet row and use each unique key as a column header. Missing values will be left blank or null. After the table is created, export the result as an Excel file for analysis or sharing.
Learn how to convert JSON into Excel
Convert JSON into a structured spreadsheet
Paste a JSON array of objects or upload a JSON file, and this tool turns it into an Excel-ready table. Each unique key becomes a column, and each object becomes a row, making raw API responses and data exports much easier to read, sort, and analyze. It is a practical option for developers, analysts, and operations teams who need clean spreadsheet data without manual reformatting.
Import JSON from text or file
You can work with JSON in two ways, by pasting data directly or uploading a file. The converter accepts an array of objects and preserves the original values while organizing them into a consistent structure. If a field is missing in one object, that cell stays blank or null, helping you keep the data accurate and ready for review in Excel.
Export data for reporting and analysis
Once converted, the data is ready to use in Excel for filtering, charting, reporting, or sharing with teammates. This is especially useful when you need to turn API results, app exports, or backend data into something accessible for business workflows. Instead of copying fields one by one, you get a spreadsheet format that fits standard reporting tools.
Prepare JSON for business workflows
This tool is useful for teams that regularly move data between systems, such as product, finance, support, and operations. By converting JSON into a table, it becomes easier to review records, compare values, and pass information into other spreadsheet-based processes. It reduces manual cleanup and helps keep structured data in a format that is easier to work with.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.