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.

Automate Table Extraction Across Any Website

Use 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.

Extract Web Tables into Structured Data

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.

Create clean CSV outputs for sharing and automation

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.

Convert pasted HTML tables into CSV

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.

Prepare web data for spreadsheets and reporting

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.

Control table selection, headers, and delimiters

Learn how to convert HTML tables into CSV

Paste raw HTML containing one or more <table> elements. The tool will extract table rows/cells and convert them to CSV.

HTML

Choose which table to convert when multiple <table> elements are present in the HTML.

Table Selection

Whether to include header cells (<th>) as the first row in the CSV output.

Include Header Row

Delimiter

Paste HTML Table Markup

Convert HTML table markup into clean CSV output for spreadsheets. Paste one or more <table> blocks to extract rows and columns in a copy-ready format.

Can the tool handle multiple tables in one HTML snippet?

Does the tool preserve table headers in the CSV output?

What should I do if my HTML table contains merged cells?

Is there a limit to the size of the HTML table that can be converted?

Can I use this tool on mobile devices?

Frequently Asked Questions

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HTML Table to CSV Converter

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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Download and install the Thunderbit Chrome Extension from the [Thunderbit Chrome Extension Download Page](https://chromewebstore.google.com/detail/thunderbit-ai-web-scraper/hbkblmodhbmcakopmmfbaopfckopccgp). Once installed, log in or create a free account to get started.

Download and Install

Click 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.

Click the Convert to CSV Button

Open 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 <table> 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).

Open Extension

How to Convert HTML Tables to CSV Using Thunderbit

Collect structured data from any website while you browse with Thunderbit’s AI Web Scraper Chrome extension. Use AI Suggest Fields, scrape pagination and subpages, and extract details from PDFs, docs, and images, then summarize, categorize, and format results into a clean table.
Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Choose cloud scraping for speed or browser scraping for logged-in pages, and schedule recurring runs to keep datasets up to date.

Automate Website Scraping and Data Extraction

Use Thunderbit to scrape pages, subpages, PDFs, docs, and images into structured tables in a few clicks. Automate collection and export to Sheets, Airtable, or Notion.

Convert HTML to Markdown with Thunderbit

Upload .html or .htm files to convert archived pages, exported CMS content, or legacy help-center articles into Markdown. This is helpful for teams moving from older site builders to Notion, GitHub, or other Markdown-based systems. The converter keeps structure like lists, quotes, and tables (when possible), reducing manual cleanup and making large-scale content migrations more predictable and easier to QA.

Migrate legacy HTML files into modern documentation

Turn raw HTML into readable Markdown for docs, wikis, and knowledge bases. Paste HTML directly, and the converter preserves headings, paragraphs, bold/italic emphasis, links, images, blockquotes, lists, and inline code. It also removes scripts, styles, and common boilerplate where reasonable, so you get content you can edit and publish. This is ideal for writers, developers, and ops teams migrating content out of web pages.

Convert HTML into Markdown

Convert an article or documentation page by entering its URL, then reuse the Markdown in README files, product docs, or support articles. This workflow is useful for marketing and documentation teams consolidating content across sites, and for engineers who want to bring reference pages into a repo. By standardizing on Markdown, teams can review changes, collaborate, and keep content consistent across channels.

Repurpose web content from a URL

Select Standard Markdown or GitHub Flavored Markdown (GFM) to match where your content will live. GFM support helps when you need Markdown tables, task lists, and strikethrough formatting that render well in GitHub, many CMS editors, and internal tools. Code blocks from <pre><code> are converted into fenced blocks, keeping language tags when available, which helps teams maintain readable technical documentation.

Choose a Markdown flavor for your target platform

Learn how to convert HTML into clean Markdown text

Paste the HTML code you want to convert to Markdown.

HTML Text

Markdown Flavor

Enter a webpage URL to fetch HTML and convert it to Markdown.

Page URLs

Upload an .html or .htm file to convert to Markdown.

HTML File

HTML Files

Convert HTML into clean Markdown for docs, wikis, and notes. Preserve headings, links, lists, and code blocks. Save time by reusing web content in a readable format.

Does this converter support GitHub Flavored Markdown (GFM) tables?

Will it keep my code snippets and syntax highlighting intact?

How does the tool handle nested lists and complex formatting?

Does the tool remove 'junk' HTML like <div> and <span> tags?

Is my data processed locally or on a server?

Can I handle bulk conversions or use an API?

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HTML to Markdown Converter

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Click the "Convert to Markdown" button to generate Markdown text from your selected source. Thunderbit will convert headings, paragraphs, emphasis, links, images, lists, blockquotes, code blocks, and tables (when applicable, especially in GitHub Flavored Markdown). After the Markdown appears in the output, copy it into your editor or documentation tool, or save it to your preferred workspace.

Click the Convert to Markdown Button

Open the Thunderbit Chrome Extension, then select the HTML to Markdown Converter. Choose one input method: (1) Paste HTML: open the "Paste HTML" tab and paste your HTML into the "html" field, (2) Enter a URL: open the "Enter a URL" tab and paste the webpage link into the "url" field, or (3) Upload an HTML file: open the "Upload an HTML file" tab and upload one .html or .htm file. In the "flavor" dropdown, select your target output style (Standard Markdown or GitHub Flavored Markdown).

How to Convert HTML to Markdown Using Thunderbit

Need structured data from websites, PDFs, docs, or images? Thunderbit scrapes pages, subpages, and lists, then helps summarize, categorize, and format the results for cleaner workflows.

Export your data to Google Sheets, Airtable, or Notion, or download it as CSV or JSON. It is a no-code way to turn messy web content into usable tables.

Organize Web Data Faster

Use Thunderbit to extract, structure, and clean web data fast with AI. Export organized results to Google Sheets, Airtable, or Notion in a few clicks.

Format JSON Data With Ease

If your JSON is stored in a file, you can upload it and let the tool format it for you. This works well for larger files or saved exports that need a quick readability pass. It is helpful for developers, QA teams, and data workers who want a simple way to check structure, prepare files for editing, or reuse JSON in other tools.

Upload JSON Files for Easy Cleanup

The JSON Beautifier turns messy JSON into a clean, readable format with proper indentation and line breaks. It helps developers, analysts, and technical teams review data faster, spot structure at a glance, and reduce mistakes while editing or debugging. Instead of scanning a compact block of text, you get organized JSON that is easier to understand and work with.

Format Raw JSON

You can paste raw JSON directly into the input field and get a beautified result that is ready to copy or download. This is useful when you need to inspect a response from an API, clean up a config snippet, or share data with teammates. The formatted output makes collaboration easier and helps you move from raw text to usable JSON with less effort.

Paste JSON for Quick Review

Before formatting, the tool checks whether your JSON is valid and shows a clear error message when it is not. This saves time when working with copied API responses, config files, or exported data that may contain syntax issues. You can catch missing commas, bad brackets, or other formatting problems early and avoid confusion during debugging.

Validate JSON Input

Learn how to beautify JSON

Paste raw JSON data to format and validate

json_text

Paste JSON

Json file

Upload JSON File

Format raw JSON into clean, readable code for easier editing, debugging, and validation.

What is the maximum size of JSON data that can be processed?

Does the tool support minifying JSON as well as beautifying?

Can I upload a file instead of pasting JSON text?

Will the tool highlight syntax errors in my JSON?

Is my JSON data stored or shared when using this tool?

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JSON beautifier

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Download and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. After installation, sign in or create a free account to continue.

Paste your JSON into the input field or upload your JSON file, then click the Beautify JSON button. Thunderbit will validate the input and return a formatted version with proper indentation and line breaks. If the JSON is invalid, it will show an error message explaining the issue. You can then copy or download the beautified result for use in other apps.

Click the Beautify JSON Button

Open the page where you want to format JSON, then launch the Thunderbit Chrome Extension. Choose the Paste JSON tab if you want to enter raw JSON text, or choose the Upload JSON File tab if you want to use a file.

How to Beautify JSON Using Thunderbit

Thunderbit helps you scrape data from websites while you browse, using AI to detect fields and extract structured information from pages, subpages, PDFs, docs, and images. Use it to summarize, categorize, and format the extracted data into clean tables for review.
Export your results to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Choose cloud scraping for speed or browser scraping for logged-in pages, and keep workflows moving with scheduled scraping.

Automate Web Extraction with AI

Use Thunderbit to automate web scraping and extract structured fields from pages, subpages, PDFs, docs, and images. Export results to Sheets, Airtable, or Notion in a few clicks.

Extract Structured Data from Any Site

Validate and reformat JSON used in app settings, feature flags, tracking schemas, or exported datasets. The formatted output reduces review time when sharing configs across teams, and it helps prevent production issues caused by malformed JSON. This is especially helpful when JSON is assembled from multiple sources, edited by hand, or pasted from logs where spacing and readability are poor.

Clean up configs and data exports

Check whether a pasted JSON string is valid standard JSON, including objects, arrays, numbers, strings, booleans, and null. This helps developers, analysts, and ops teams catch missing commas, mismatched braces, or invalid quotes before data moves into APIs, configs, or automation steps. When JSON is invalid, the tool surfaces a clear error so you can fix issues without manual debugging.

Validate JSON syntax

Use the parser to verify request bodies and webhook samples before sending them to endpoints or automation tools. If the JSON fails validation, you get a short error plus a line and column location to pinpoint the problem quickly. If it passes, the prettified output is ready to copy into documentation, bug reports, Postman, or internal runbooks for consistent team communication.

Troubleshoot API payloads and webhooks

Convert valid JSON into a clean, indented view with consistent 2-space formatting while preserving the original key order. This makes large payloads easier to scan, compare, and review during troubleshooting, code reviews, or data QA. It’s useful for anyone working with webhooks, API responses, product feeds, or configuration files who needs a reliable way to inspect nested fields.

Format JSON into readable structure

Learn how to parse and validate JSON input

Paste a JSON string to parse and validate (objects, arrays, numbers, strings, booleans, null).

JSON Input

Parse and validate JSON to spot syntax errors fast and view clean, structured output for debugging and data checks.

What types of JSON structures can this tool handle?

Does the tool support large or complex JSON files?

How does the tool indicate syntax errors in the input?

Can I copy the formatted JSON output for use elsewhere?

Is my input data stored or processed anywhere outside my device?

json-parser

JSON Parser

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Click the "Parse JSON" button. Thunderbit will validate the input and return either a formatted, indented JSON output (2-space indentation) or an error message that includes the error summary, the line and column location, and a hint to fix the issue. Copy the formatted JSON or the error details for use in your workflow.

Click the Parse JSON Button

Open Chrome and navigate to the Thunderbit tool page for JSON Parser. Open the Thunderbit Chrome Extension, select the "JSON Parser" tool, then go to the "Paste JSON" tab. Paste your JSON string into the "json_input" field (for example: {"name":"Alice","age":25,"isStudent":false}).

How to Parse JSON Using Thunderbit

Thunderbit scrapes data from websites, subpages, PDFs, docs, and images, then extracts structured information with AI Suggested Fields and field prompts. It can also summarize, categorize, and format data before you export it to Google Sheets, Airtable, or Notion.

Use cloud or browser scraping to handle public pages or logged in sites, and automate repeat jobs with scheduled scraping. Free exports to CSV or JSON make it easy to move clean data into the tools your team already uses.

Speed Up Structured Data Extraction

Format and validate JSON with a clean, readable view that makes errors easy to spot. Use Thunderbit to scrape, extract, and organize web data with speed and simple automation.

Streamline JSON Formatting Workflows

When the input is not valid, the tool explains what went wrong and helps you identify where the issue is located. That saves time compared with scanning a long block of JSON by hand. It is especially helpful for developers, QA teams, and support staff who need a quick way to inspect broken payloads, fix formatting problems, and continue working without guesswork.

Review Error Details

Paste unformatted JSON into the tool and it turns the content into a clean, indented structure that is easy to read and review. This helps developers, analysts, and technical teams quickly inspect nested data without manual cleanup. It preserves the original values while improving spacing and layout, making JSON much easier to edit, debug, and share with others.

Once the JSON is formatted, you can copy the readable output for use in code editors, documentation, or data workflows. The organized structure makes it easier to compare fields, review nested objects, and share clean examples with teammates. It is a practical way to turn raw text into a polished format that supports faster editing and troubleshooting.

Copy Readable JSON

The formatter also checks whether your JSON is valid and points out syntax issues when something is wrong. If there is a missing comma, bracket, or quote, you get a clear error message that helps you find the problem faster. This is useful for anyone working with APIs, configuration files, or data exports that must be accurate before use.

Validate JSON Syntax

Learn how to format and validate JSON online

Paste or type raw JSON text to format and validate

json

Format and validate raw JSON in a readable structure with clear syntax checks. Spot errors fast and copy clean output for easier editing.

Can this tool handle large JSON files?

Does the tool support JSON validation as well as formatting?

Is my JSON data stored or shared when I use this tool?

Can I minify JSON using this tool?

What should I do if I see a syntax error message?

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JSON Formatter Online

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Download 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.

Click the Format JSON button. Thunderbit will check the JSON, return a pretty printed version if it is valid, or show a clear error message if it finds a syntax issue. You can then copy the formatted result for review, editing, or use in another app.

Click the Format JSON Button

Open the page with the JSON formatter, then open the Thunderbit Chrome Extension and select the Paste JSON tab. Paste or type your raw JSON into the input field so Thunderbit can validate and prepare it for formatting.

How to Format JSON Using Thunderbit

Collect structured data from any website using Thunderbit’s Chrome extension: click AI Suggest Fields, then Scrape to capture tables, listings, and details across pagination and subpages. It also extracts data from PDFs, docs, and images, then summarizes, categorizes, and formats fields into a clean dataset.
Send your results to Google Sheets, Airtable, or Notion with free export options, or download CSV and JSON for your workflows. Use Scheduled Scraper to keep datasets fresh over time, and choose cloud scraping for faster runs or browser scraping for logged-in pages.

Use Thunderbit to automate web scraping and extract structured fields from pages, subpages, PDFs, docs, and images. Export results to Sheets, Airtable, or Notion in minutes.

Scrape Structured Data with Thunderbit

Use the formatted result as a clean source of truth for downstream tools such as scripts, ETL steps, or documentation. When you are working with Thunderbit exports like JSON downloads from web extraction, this viewer helps you confirm field names, nesting, and consistency before importing into databases or transforming for Google Sheets, Airtable, or Notion. It reduces rework caused by malformed JSON and unclear structures.

Prepare JSON outputs for exports and automations

Paste JSON text or upload a .json file to check whether it is valid. The Json Viewer highlights syntax issues such as missing commas, mismatched brackets, or invalid quotes, helping you locate problems before they break an API call or automation. It is built for developers, analysts, and operations teams who regularly handle JSON payloads and need quick, reliable validation during debugging or data prep.

Validate JSON and pinpoint errors

Switch between text mode for direct editing and tree mode for visual exploration of nested arrays and objects. Tree view helps you understand complex schemas, spot missing fields, and verify data types without scanning long blocks of text. This workflow fits product teams, QA, and data teams who need to inspect API responses, event logs, or exported datasets before sharing them with others.

Review JSON in text or tree view for faster QA

Convert messy, minified, or inconsistent JSON into a clean, indented format using 2 spaces, 4 spaces, or tabs. Edit values and nested objects while keeping the structure clear, with real-time feedback as you make changes. This is useful for anyone preparing configuration files, webhook payloads, or scraped data outputs who wants fewer formatting mistakes and faster reviews during collaboration.

Format and edit JSON with readable structure

Learn how to view, validate, and format JSON data

Paste your JSON here (object or array). The tool will validate and format it.

Indentation

Choose how to display the formatted JSON.

View Mode

View, format, and edit JSON with syntax highlighting and error checks. Switch between text and tree views to understand nested data faster. Export clean JSON for apps and APIs.

How do I upload a JSON file to the tool?

Can I edit the JSON data directly in the viewer?

What happens if my JSON contains syntax errors?

Is there an option to switch between tree and text view?

How can I export the modified JSON data?

json-viewer

Json Viewer

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Click the "Format & Validate JSON" button. Thunderbit will strictly validate your JSON and then either return a pretty-printed version using your selected indentation or provide an error report with a short message, a best-effort line and column location, and a suggested fix. Review the formatted result in your selected view mode, then export by copying the output text or saving it as a .json file for use in your workflow.

Click the Format & Validate JSON Button

Open the Thunderbit Chrome Extension, then open the Json Viewer tool. Choose how you want to provide your JSON: use the "Paste JSON" tab to paste JSON into the "json_input" field, or use the "Upload JSON File" tab to upload a single .json file in the "json_file" field. Set your formatting preferences by selecting an "indentation" option (2 spaces, 4 spaces, or tab) and a "view_mode" option (text or tree) to control how the formatted output is displayed.

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