CSV Viewer
CSV Viewer
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Upload a CSV file or paste raw CSV text to view it as a clean, searchable table. Scan large datasets with smooth scrolling and aligned columns. Copy or export the table to reuse data faster.
Upload a CSV file
Paste CSV text
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Scrape Website Data into Clean TablesUse the Thunderbit Chrome extension to scrape pages, subpages, PDFs, docs, and images into structured rows fast. Automate extraction and export results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Scrape Website Data into Clean Tables
Collect data from any website and turn it into a structured table with Thunderbit’s AI Web Scraper. Scrape listings, follow subpages for enrichment, and pull details from PDFs, docs, and images, then summarize, categorize, or format fields as you go.
Export your results to Google Sheets, Airtable, or Notion for sharing and workflows. Use templates for popular sites, handle pagination, and schedule recurring scrapes to keep datasets up to date.
How to View CSV 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. In the tool list, select "CSV Viewer". Choose one input method: (1) Open the "Upload a CSV file" tab and upload a single CSV file, or (2) open the "Paste CSV text" tab and paste raw CSV content with commas separating values and new lines separating rows. Confirm the first row contains your headers so the table columns display correctly.
STEP 3Click the View CSV ButtonClick the "View CSV" button. Thunderbit will parse the CSV and display it as a scrollable table where each column aligns to the header row and each row represents a record. Review the table, use search and scrolling to inspect large datasets, then copy the table data or export it for use in tools such as Excel, Google Sheets, Airtable, or Notion.
Learn how to view CSV files as a searchable table
Upload a CSV and render it as a table
CSV Viewer lets you upload a CSV file and display it in a clean, tabular layout with headers and rows aligned for quick inspection. It’s built for anyone who needs to verify exports, spot missing values, or review large datasets without opening a spreadsheet app. Use it to scroll through records, confirm column structure, and understand what’s inside a file before sharing or importing it.
Paste raw CSV text to preview structured data
If you have CSV content in an email, chat, or documentation, CSV Viewer can take pasted CSV text and convert it into a readable table. This helps analysts, operations teams, and developers validate formatting, delimiters, and headers before the data goes into a database, CRM, or reporting tool. It’s also useful for quickly checking small samples during troubleshooting or QA.
Inspect, search, and review large CSV datasets
Use CSV Viewer to review long CSVs in a scrollable table so you can find issues like shifted columns, unexpected blanks, or extra fields. Common scenarios include checking lead lists, product catalogs, inventory exports, and scraped datasets before you act on them. This reduces rework by helping teams catch formatting problems early, especially when CSVs come from multiple sources.
Copy or export table-ready data for downstream work
After viewing the CSV in a structured table, you can copy the displayed data or export it for use in other tools and workflows. This is helpful when you need to move cleaned or verified data into spreadsheets, shared docs, or internal systems. Teams can use the table view as a staging step before importing into platforms like Google Sheets, Airtable, or Notion.
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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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