HTML Table to CSV Converter

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Turn HTML tables into CSV for spreadsheets. Paste table markup and get clean rows and columns. Copy or download the CSV output.
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Extract Web Tables into Structured DataUse Thunderbit to scrape tables and fields from webpages, subpages, PDFs, docs, and images with a few clicks. Auto-structure results and export to Sheets, Airtable, or Notion.
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Extract Web Tables into Structured Data

Collect tabular data from webpages, paginated lists, and subpages using Thunderbit’s AI Suggest Fields and Scrape workflow. It extracts structured rows, can summarize or categorize fields, and formats data for analysis. Scrape content from PDFs, docs, and images when tables are embedded in files, then keep enrichment consistent with subpage scraping. Export results to Google Sheets, Airtable, or Notion as CSV or JSON, with free downloads.

How to Convert HTML Tables 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 Table to CSV Converter tool. In the "Paste HTML Table Markup" tab, paste the raw HTML that contains one or more elements into the "html" field. If your HTML includes multiple tables, choose a "table_selection" option to convert the first table only, combine all tables into one CSV output, or output each table as a separate CSV section. Set "include_header_row" to auto-detect, include, or exclude headers, and choose your preferred "delimiter" (comma, semicolon, or tab).
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STEP 3Click the Convert to CSV ButtonClick the "Convert to CSV" button. Thunderbit will parse the table rows and cells, expand any colspan or rowspan into the correct number of CSV cells, and return CSV-formatted text using your selected delimiter and header settings. Review the output, then copy the CSV text into your spreadsheet app, or save it as a .csv file for import into Excel, Google Sheets, Airtable, or Notion.

Learn how to convert HTML tables into CSV

Convert pasted HTML tables into CSV

Paste raw HTML that contains one or more <table> elements, and the tool extracts rows and cells into clean CSV text. It reads <tr>, <td>, and <th>, keeps the visible text inside cells, and removes extra markup so your data is ready for spreadsheets. This is built for analysts, operations, and anyone copying web table data into Excel or Google Sheets without manual reformatting.
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Control table selection, headers, and delimiters

When your HTML includes multiple tables, choose to convert the first table, combine all tables into one output, or output each table as its own section. You can also auto-detect header rows from <th> cells, force include or exclude headers, and pick a delimiter such as comma, semicolon, or tab. This helps match regional CSV standards and downstream import requirements.
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Prepare web data for spreadsheets and reporting

Use the converter to move tabular data from web pages, documentation, or internal tools into spreadsheet-ready CSV for reporting and analysis. It handles common table complexity like colspan and rowspan by expanding cells so columns stay aligned. This is useful for sales ops building lists, ecommerce teams comparing product tables, and marketers compiling pricing, feature, or directory data for audits.
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Create clean CSV outputs for sharing and automation

The output is CSV-formatted text you can copy into Excel, Google Sheets, Airtable, or Notion, or save as a .csv file for imports. Because values are properly escaped and whitespace is trimmed, the result is more reliable for pipelines that depend on consistent columns. Teams can standardize how they capture table data from HTML snippets and reuse it across recurring workflows.
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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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