CSV Splitter

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Split large CSV files into smaller parts on your device. Keep data private and export cleaner files for easier sharing and handling.
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Split CSV Files with EaseUse Thunderbit to process CSV data fast on your device with no server upload required. Save time with a simple, private workflow for handling large files.
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Split CSV Files with Ease

Thunderbit helps you scrape data from websites, subpages, PDFs, docs, and images, then structure it into clean fields you can use right away. It can summarize, categorize, and format data before exporting to Sheets, Airtable, or Notion. With Thunderbit, you can turn messy web data into organized tables in just a few clicks. Export results to Google Sheets, Airtable, Notion, or download as CSV and JSON with no coding required.

How to Split CSV Files Using Thunderbit

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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.
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STEP 2Open ExtensionOpen the Thunderbit Chrome Extension, then select the CSV Splitter tool from the menu. In the Choose a CSV file tab, upload the CSV file from your device. Set the rows per split value if you want each file to contain a specific number of data rows, or switch to the Split into files tab if you want Thunderbit to divide the file into a set number of output files. You can also choose whether each split file should include headers.
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STEP 3Click the Split CSV ButtonClick the Split CSV button to process the file on your device. Thunderbit will create smaller CSV files based on your selected criteria, preserve the original data, and keep the file order clear with names such as part_1.csv and part_2.csv. When processing is complete, download the split files to your device.

Learn how to split CSV files

Split CSV by row count

CSV Splitter helps you break one large CSV into smaller files by choosing how many data rows go into each part. It runs in your browser, so your file stays on your device while it is processed. This is useful for operations teams, analysts, and anyone who needs to manage large datasets without manual copy and paste or risky uploads.
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Split CSV into equal parts

You can also divide a CSV into a set number of output files, and the tool will create approximately equal parts for you. This is helpful when you need to share a dataset across teammates, import batches into another system, or organize records into smaller chunks. You can choose whether each file includes the original header row.
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Download organized output files

After splitting, the tool generates multiple CSV files ready for download directly to your device. Each file is named in clear sequence, such as part_1.csv and part_2.csv, so it is easy to find and use them right away. This makes the output practical for spreadsheets, data pipelines, and batch imports into other tools.
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Protect private data during processing

Because CSV Splitter works locally in the browser, there is no server upload required. That makes it a good choice for teams handling sensitive customer records, internal reports, or confidential research files. You get fast processing, fewer security concerns, and a simpler workflow when you need to reorganize CSV data without exposing it online.
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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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