List crawler
By
Extract ordered and unordered list items from any webpage URL. Review grouped lists in plain text to capture key points fast.
Scrape hundreds of webpages in one click with the Thunderbit Chrome Extension. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want us to run it for you? Use our Web Scraping Service.
Extract Web Lists in One ClickUse Thunderbit to scrape pages, subpages, PDFs, docs, and images into structured data fast. Automate extraction and export results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Extract Web Lists in One Click
Collect bullet points, steps, and checklists from articles, docs, and knowledge bases with Thunderbit’s AI Web Scraper Chrome Extension. Click AI Suggest Fields, then Scrape to extract structured list data from webpages, including pagination, and organize it into clean tables.
Need more context than the main page provides? Use subpage scraping to follow links and enrich your dataset, and scrape content from PDFs, docs, and images when lists are embedded in files. Summarize, categorize, and format the extracted items, then export to Google Sheets, Airtable, or Notion.
How to Crawl Lists 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 Thunderbit in Chrome, then open the List Crawler tool. In the "Enter a URL" tab, paste a valid HTTP or HTTPS link into the "url" field (for example, https://example.com/article). Confirm the page is publicly accessible, or stay logged in to the site in your browser if the content requires authentication.
STEP 3Click the Crawl lists ButtonClick the "Crawl lists" button to start extraction. Thunderbit will scan the provided page and return a table of detected list items, grouped by list type, with columns including "List Type", "List Index", "Item Index", and "List Item Text". Review the results, then export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON.
Learn how to crawl a web page and extract ordered and unordered list items
Extract list items from any URL
List Crawler takes a single HTTP or HTTPS web page URL and scans the page for ordered and unordered lists. It pulls each list item’s text into a structured table, so you can review key bullets, steps, and checklists without copying and pasting. It’s built for business users who need quick, reliable summaries from articles, docs, help centers, and blog posts.
Organize results by list type and position
The tool groups output by List Type (ordered or unordered) and adds List Index and Item Index to preserve the original structure. This makes it easy to reconstruct multi-step instructions, compare multiple lists on the same page, or locate where a specific bullet came from. It’s useful for teams that need clean, referenceable notes for research, QA, and content reviews.
Summarize documentation and how-to content
Use List Crawler to collect procedures, prerequisites, and feature bullet points from product documentation, knowledge bases, and tutorials. Product, support, and operations teams can turn scattered lists into a single table for audits, internal wikis, or training materials. Because each item is indexed, you can track changes over time and keep your internal references aligned with the source page.
Build structured datasets for analysis and reuse
Turn list-heavy pages into structured data you can export from Thunderbit to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON. This helps marketing and research teams compile competitor feature lists, collect requirements, or assemble curated resources. The table format also supports quick filtering, deduplication, and categorization before sharing with stakeholders.
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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.
