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HTML to CSV

HTML to CSV

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Convert HTML tables into clean CSV for spreadsheets. Extract rows and columns from one or more tables. Copy the output or download a CSV file.

Want to scrape data in bulk? Try Thunderbit for free.

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Extract Table Data from WebsitesUse Thunderbit to scrape tables and fields from webpages, subpages, PDFs, docs, and images with AI. Auto-structure results and export to Sheets, Airtable, or Notion.
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Extract Table Data from Websites

Collect tabular data from any website and turn it into structured rows and columns using Thunderbit’s AI Web Scraper Chrome Extension. Scrape listings, follow subpages for enrichment, and extract data from PDFs, docs, and images, then summarize, categorize, or format fields as you go. Export your extracted datasets to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use AI Suggest Fields to set up in two clicks, handle pagination, and keep workflows automated with Scheduled Scraper when you need recurring updates.

How to Convert HTML to CSV 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 open the HTML to CSV tool. In the "Paste HTML Table Code" tab, paste your HTML string into the "html" field (it should include one or more elements). If your HTML contains multiple tables, set "table_selection" to convert only the first table or to convert all tables with a blank row between each table.
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STEP 3Click the Convert to CSV ButtonClick the "Convert to CSV" button to generate a CSV-formatted output from the table rows and cells in your HTML. Review the CSV text returned by the tool, then copy it into your spreadsheet app or download the CSV file provided by the tool for saving and sharing.

Learn how to convert HTML tables into CSV

Convert HTML table code into CSV

Turn copied HTML table markup into clean CSV you can paste into spreadsheets or save as a file. Paste HTML that contains one or more <table> elements, and the tool extracts each row and cell into a structured, comma-delimited output. It’s built for analysts, operations, and anyone who needs to reuse web-based tables without manual retyping or messy copy-paste formatting.
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Control table selection and header handling

Choose how the conversion behaves when your HTML includes multiple tables or mixed header rows. Convert only the first table, or append all tables into one CSV with a blank row between each table for readability. You can also auto-detect headers based on <th>, force-include header rows, or exclude them entirely, which helps when you need consistent CSVs for imports.
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Prepare web data for Excel, Google Sheets, and databases

Use the CSV output to move table data into Excel or Google Sheets for sorting, filtering, and reporting, or into tools like Airtable and Notion for lightweight databases. The tool normalizes whitespace, extracts visible text from cells, and applies proper CSV quoting rules, reducing import errors caused by commas, quotes, or line breaks inside table content.
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Speed up common workflows like reporting, audits, and catalog cleanup

Convert tables from documentation pages, internal dashboards, vendor portals, or copied HTML snippets into a format your team can share and process. It’s useful for compiling weekly reports, auditing lists, cleaning up product or pricing tables, and consolidating multiple tables into one CSV for review. This helps teams spend less time formatting and more time analyzing.
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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
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