CSV to Excel Converter
CSV to Excel Converter
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Convert CSV files into XLS or XLSX in one quick step. Keep rows, columns, and values intact for clean spreadsheet work.
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Scrape Data Faster with ThunderbitUse Thunderbit’s Chrome extension to automate web scraping and extract structured data from pages, subpages, PDFs, docs, and images. Export results to Sheets, Airtable, or Notion in a few clicks.
Install fromChrome Web Store
Scrape Data Faster with Thunderbit
Thunderbit helps you scrape data from websites while you browse, then turns messy pages into structured tables using AI Suggest Fields and one-click scraping. Collect data from subpages, paginated lists, PDFs, docs, and images, then summarize, categorize, or format fields as you go.
Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use cloud scraping for speed on public pages, or browser scraping for logged-in sites, and schedule recurring scrapes to keep datasets up to date.
How to Convert CSV 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 select the "CSV to Excel Converter" tool. In the "Upload a CSV File" tab, upload one .csv file using the "csv_file" upload field. If available, choose your preferred output format in the "output_format" dropdown (XLSX or XLS). The default option is XLSX.
STEP 3Click the Convert to Excel ButtonClick the "Convert to Excel" button to start the conversion. Thunderbit will convert your uploaded CSV into an Excel file in the selected format while preserving rows, columns, cell values, and the header row (if present). When the conversion finishes, download the generated XLSX or XLS file and open it in your spreadsheet application.
Learn how to convert CSV files to Excel spreadsheets
Convert CSV to XLSX or XLS
Turn a standard .csv file into an Excel-ready spreadsheet by uploading your file and choosing XLSX or XLS output. This helps analysts, operations teams, and anyone sharing data avoid formatting issues that happen when CSVs open differently across tools. The converter preserves rows, columns, and values so your dataset is ready to review, filter, and share in spreadsheet software.
Preserve table structure and headers
Keep your CSV’s basic structure intact during conversion, including consistent columns and the first-row header when present. This is useful for teams that rely on clean tables for reporting, imports, and audits, where a missing header or shifted column can cause downstream errors. You get an Excel file that mirrors the original layout, making it easier to validate and work with.
Prepare files for reporting and collaboration
Use the converted Excel file to build reports, apply filters, create pivot tables, and add formulas without reformatting your data. This fits workflows in sales ops, marketing analytics, ecommerce operations, and finance where stakeholders expect .xlsx files for reviews and approvals. Converting before sharing reduces back-and-forth and keeps everyone working from the same spreadsheet format.
Standardize data for imports and handoffs
Convert CSV exports from CRMs, ad platforms, storefronts, and internal tools into XLSX or XLS for cleaner handoffs to teammates, clients, or vendors. Excel format is often preferred for manual QA, annotations, and versioned deliverables. Choosing XLSX or XLS also helps match legacy requirements when a system or stakeholder requests a specific Excel file type.
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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.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
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