HTML Parser
HTML Parser
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Analyze HTML markup and extract tags, attributes, and text into a clear tree view. Spot structure issues faster and understand page layout at a glance.
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Extract Website Data with AIUse Thunderbit to scrape pages, subpages, PDFs, docs, and images into structured tables. Automate extraction and export results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Extract Website Data with AI
Collect structured data from any website while you browse with Thunderbit’s Chrome extension. Use AI Suggest Fields to detect the right columns, scrape paginated lists, and enrich results by visiting subpages, including PDFs, docs, and images.
Clean up your output with AI-powered summarizing, categorizing, and formatting, then export to Google Sheets, Airtable, or Notion. Schedule recurring scrapes to keep datasets up to date without manual work.
How to Parse HTML 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 the "HTML Parser" tool. In the "Paste HTML" tab, paste or type your raw HTML into the "html" field. Then choose your preferences: set "output_format" to "tree_view" to see an indented hierarchy, or "element_list" to get a line-by-line list of elements. If you want markup issues reported, set "include_errors" to "yes".
STEP 3Click the Parse HTML ButtonClick the "Parse HTML" button to run the parser. Thunderbit will analyze the HTML and return the structured output in your selected format, preserving the element order and highlighting key attributes such as id, class, href, src, and aria-* when present. If "include_errors" is set to "yes," review the "Errors/Warnings" section for unclosed tags, mismatched nesting, duplicate ids, or other markup issues. Copy the results from the output area and paste them into your documentation, notes, or any other tool you use.
Learn how to parse raw HTML into a readable structure
Parse HTML into a tree view
Paste raw HTML markup and get an indented, DOM-like tree that shows how elements nest and relate. Each node can include tag name, id, classes, and key attributes such as href, src, alt, role, and aria-* so you can understand structure at a glance. This is useful for developers, QA, and ops teams who need to inspect snippets, email templates, or scraped HTML quickly.
List elements with selectors and attributes
Switch the output to an element list to see each node as a single line with a CSS-like selector (tag#id.class), its attributes, a short text preview, and depth level. This format helps when you want to scan for specific tags, locate missing attributes, or compare two HTML versions. It’s practical for anyone preparing scraping rules, validating page components, or documenting markup patterns.
Detect markup issues and suspicious patterns
Enable error reporting to surface common HTML problems such as unclosed tags, mismatched nesting, duplicate ids, and questionable attributes. The tool aims for a best-effort parse even when the HTML is imperfect, then summarizes issues so you can fix templates or clean inputs before downstream work. This is helpful for teams troubleshooting rendering bugs, broken tracking links, or inconsistent vendor-provided HTML.
Prepare HTML for scraping and data extraction workflows
Use the parsed structure to identify stable selectors, confirm where key fields live, and decide what to extract from a page or snippet. For Thunderbit users, this supports building reliable scraping templates by clarifying which attributes and text nodes matter, especially when pages include nested components or repeated blocks. It’s a strong fit for sales, ecommerce ops, marketing, and real estate teams working with web content.
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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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