Technology Stack Checker
Technology Stack Checker
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Analyze a website URL to detect frameworks, CMS, analytics, and hosting. Results are grouped by category with versions when available. Compare competitors and validate tooling choices fast.
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Discover Website Tech Stacks FasterUse Thunderbit to scrape and extract structured data from websites, subpages, PDFs, docs, and images with a few clicks. Automate collection and export results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Discover Website Tech Stacks Faster
Thunderbit helps you collect technology signals from websites at scale by scraping pages and subpages, including PDFs, docs, and images, then extracting the results into structured tables. Use AI to summarize, categorize, and format findings so your research is consistent across many sites.
Export your datasets to Google Sheets, Airtable, or Notion for sharing and tracking. Run repeat checks with Scheduled Scraper to monitor changes over time, and keep your workflow no-code from start to export.
How to Check a Technology Stack 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, then select the Technology Stack Checker tool. In the "Enter a Website URL" tab, paste a valid, complete URL (including http:// or https://), such as https://example.com. Confirm the URL is correct, since the tool analyzes the exact site you provide.
STEP 3Click the Check technology stack ButtonClick the "Check technology stack" button to run the analysis. Thunderbit will return a table of detected technologies grouped by Category, including Technology name, Version (when available), and a short Description. Review the results, then export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON for sharing and further analysis.
Learn how to check a website’s technology stack from a URL
Analyze a website’s tech stack
Technology Stack Checker scans a website URL and identifies the tools running behind the scenes, such as frameworks, programming languages, CMS platforms, analytics tags, hosting signals, and e-commerce components. It’s built for sales, marketing, and product teams who need quick technical context on a prospect or competitor without digging through source code. Results are organized so you can understand what powers a site at a glance.
Detect technologies by category with version details
The tool returns a categorized table that groups findings by type, including the technology name, version when available, and a short description. This helps you compare sites consistently, spot patterns across competitors, and validate assumptions during research. It’s useful for agencies qualifying leads, partnerships teams checking compatibility, and ecommerce operators reviewing what platforms and tracking tools a store relies on.
Research competitors and prospects for outreach
Use the detected stack to tailor messaging and prioritize accounts. Sales teams can identify what a company uses today and position integrations or migrations accordingly. Marketers can confirm analytics and tag managers to understand measurement maturity. Agencies can qualify inbound leads by CMS or ecommerce platform before proposing services. The structured output makes it easy to build a repeatable workflow for account research.
Build a shareable technology inventory for planning
Turn the results into a lightweight inventory you can share with teammates for audits, vendor comparisons, and implementation planning. Because the output is a table with Category, Technology, Version, and Description, it’s ready to copy into documentation or track over time. Teams can use it to standardize competitive analysis, shortlist integration targets, and keep notes on how different sites are built.
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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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