Phone Number Extractor
Extract phone numbers from text, files, or web pages — with country & region detection, validity check, and type identification (mobile, fixed-line, VoIP, etc.). Runs entirely in your browser, nothing uploaded.
Phone numbers are extracted using libphonenumber-js metadata.
Finding phone numbers on one page is a start, but a usable contact list often requires hundreds of company pages and directories. Use the Thunderbit Chrome Extension to collect phone numbers and page context across hundreds of pages in one click. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want the finished contact list without running the workflow yourself? Use our Web Scraping Service.
Find Phone Numbers OnlineLet Thunderbit’s AI extract phone numbers from any website, file, or text—no manual searching required.
Install fromChrome Web Store
Find Phone Numbers Online
Need to collect phone numbers for outreach or verification? Thunderbit’s AI-powered tool scans any webpage, document, or pasted text and delivers a ready-to-use list in moments. No technical skills or setup needed—just provide your source and let the AI do the work.
Perfect for sales, marketing, or research teams who want to save time and avoid errors. Export your results to Excel, Google Sheets, or your CRM for immediate use.
How to Extract Phone Numbers 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 ExtensionNavigate to the webpage, document, or text source from which you want to extract phone numbers. Open the Thunderbit Chrome Extension and select the "Phone Number Extractor" tool from the menu. Choose your preferred input method: enter a URL, upload a file, or paste text into the provided box.
STEP 3Click the Extract phone numbers ButtonClick the "Extract phone numbers" button. Thunderbit will scan your selected content and display a list of detected phone numbers. You can export the results to Google Sheets, Airtable, Notion, or copy the list for use in other applications.
Learn how to extract phone numbers from any website, document, or text
Extract Phone Numbers Instantly
The Phone Number Extractor scans webpages, uploaded files, or pasted text to quickly identify and list all phone numbers present. This tool is ideal for sales teams, recruiters, and researchers who need to gather contact information without manual searching. By automating the extraction process, you can save significant time and ensure no phone number is overlooked, making it easier to build accurate contact lists for outreach or analysis.
Support Multiple Input Methods
Choose the most convenient way to extract phone numbers: enter a URL, upload a document, or paste raw text. The tool works with web pages, PDFs, Word files, and plain text, adapting to your workflow. This flexibility is perfect for professionals who handle diverse data sources, allowing you to extract phone numbers from online directories, business documents, or email content in just a few clicks.
Export and Format Results Effortlessly
Once phone numbers are extracted, the results are presented in a clean, simple list that can be easily exported. You can copy the list or download it for use in Excel, Google Sheets, Airtable, or Notion. The tool automatically formats phone numbers for consistency, making it straightforward to integrate the data into your CRM, marketing campaigns, or contact databases without extra cleanup.
Accelerate Lead Generation and Data Collection
Use the Phone Number Extractor to streamline lead generation, customer support, or research tasks. Sales and marketing teams can quickly build call lists from websites or documents, while researchers can gather contact data for analysis. By automating phone number extraction, you reduce manual effort and minimize errors, ensuring your contact information is accurate and ready for immediate use.
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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.
