CSV File Merger
CSV File Merger
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Merge multiple CSV files into one clean dataset. Combine matching or different columns, control headers, and remove duplicates. Download a single consolidated CSV in seconds.
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Scrape Data Faster with ThunderbitUse Thunderbit’s Chrome extension to scrape and extract structured data from websites in a couple of clicks. Automate collection across pages and export ready-to-use tables.
Install fromChrome Web Store
Scrape Data Faster with Thunderbit
Thunderbit helps you scrape structured data from any website while you browse, including paginated lists and subpages. It can also extract data from PDFs, docs, and images, then summarize, categorize, and format the results into clean tables.
Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use AI Suggest Fields to set up columns quickly, then run cloud or browser scraping to collect data at scale with minimal setup.
How to Merge CSV Files 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 open the csv file merger tool. In the "Upload CSV Files" tab, upload two or more CSV files using the "files" uploader (drag and drop, or select files from your device). Configure the optional settings as needed: set "include_headers" to auto-detect, include, or exclude; choose how to merge different schemas with "handle_different_columns"; decide whether to keep or remove duplicates with "duplicate_rows"; and set "delimiter" to auto-detect or a specific delimiter such as comma, semicolon, tab, or pipe.
STEP 3Click the Merge CSV files ButtonClick the "Merge CSV files" button to generate one consolidated CSV based on your selected settings. Thunderbit will combine rows from all uploaded files, align columns according to your chosen column-handling option, apply your header and duplicate-row preferences, and output the merged CSV content. Download the merged CSV to your device, or copy the output text and save it as a .csv file in your preferred editor or spreadsheet app.
Learn how to merge multiple CSV files into one consolidated CSV
Upload and merge multiple CSV files
Combine two or more CSV files into a single, consolidated output without manual copy-paste. Upload up to 10 files by dragging and dropping, then merge them into one dataset for reporting, analysis, or imports. This is built for business users who regularly collect exports from different tools and need one clean file to work with in spreadsheets, BI tools, or internal systems.
Standardize headers, delimiters, and column structures
Control how the merged CSV is built so it matches your workflow. Auto-detect or force headers, choose the delimiter (comma, semicolon, tab, pipe, or auto-detect), and decide how to handle mismatched schemas. You can merge by union (keep all columns and leave blanks where data is missing) or intersection (keep only columns shared by every file) to keep your dataset consistent.
Clean duplicates for reliable downstream analysis
Reduce noise in combined datasets by choosing whether to keep duplicates or remove exact duplicate rows across all merged columns. This is useful when you merge repeated exports, weekly snapshots, or overlapping lists from multiple sources. By trimming whitespace during duplicate checks, the output is better suited for pivot tables, dashboards, and database imports where duplicate records can skew results.
Consolidate exports for sales, ecommerce, and operations workflows
Use the merged CSV to unify data from common business tasks: combine lead lists from multiple campaigns, merge product catalogs and inventory exports, or consolidate operational logs from different teams. After merging, you can download one CSV that is ready to upload into tools like CRMs, ERPs, or analytics pipelines, helping teams keep a single source of truth for ongoing work.
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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
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week