Email extractor
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Extract email addresses from text, files, or public webpages.Fast, accurate, and ready to export as sheets in seconds.
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From URL
Finding emails on one page is a start, but building a useful lead list often means checking hundreds of company and profile pages. Use the Thunderbit Chrome Extension to collect names, roles, emails, and company details across hundreds of pages in one click. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want the finished lead list without running the workflow yourself? Use our Web Scraping Service.
Extract Emails Instantly with AIUse Thunderbit’s AI Email Extractor to scan websites, documents, or text and capture clean, verified email addresses. Supports bulk extraction, de-duplication, and one-click export to CSV, Google Sheets, or your CRM.
Install fromChrome Web Store
Extract Emails Instantly with AI
Need to build a contact list or gather leads fast? Thunderbit’s Email Extractor uses AI to scan webpages, documents, or pasted text and instantly pulls out all email addresses. Just enter a URL, upload a file, or paste your content—Thunderbit does the rest, providing a ready-to-export list.
This tool is perfect for sales, marketing, or research teams who want to skip tedious copy-paste work. Export your results to CSV, Google Sheets, or your CRM with a single click and focus on what matters most.
How to Extract Email Addresses with 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 email addresses. Open the Thunderbit Chrome Extension and select the "Email Extractor" tool from the menu. Choose your preferred input method: enter a URL, upload a file, or paste text into the provided text box.
STEP 3Click the Extract email addresses ButtonClick the "Extract email addresses" button. Thunderbit will scan your selected content and display a list of detected email addresses. You can view the results directly or download them as a CSV file for use in Google Sheets, Airtable, Notion, or any other application.
Why This Email Extractor?
Extract Email Addresses Instantly
The Email Extractor scans webpages, uploaded documents, or pasted text to find and collect email addresses in seconds. This tool is ideal for sales, marketing, and recruiting professionals who need to build contact lists quickly. By automating the extraction process, you can avoid manual searching and copying, saving valuable time and reducing the risk of missing important contacts.
Upload Files or Paste Text for Flexible Extraction
Upload PDFs, Word documents, or simply paste raw text into the tool to extract email addresses from a variety of sources. This flexibility is perfect for users who receive contact information in different formats, such as scanned documents or exported reports. The tool ensures that no matter where your data lives, you can quickly gather all relevant email addresses without manual effort.
Export Results for Easy Integration
Once email addresses are extracted, you can view them directly in the tool or download the list as a CSV file. This makes it simple to import the data into Google Sheets, Airtable, Notion, or your CRM. The export feature streamlines your workflow, allowing you to use the collected contacts immediately for outreach, follow-ups, or database updates.
Support Lead Generation and Outreach Campaigns
Use the Email Extractor to quickly build targeted email lists for sales prospecting, marketing campaigns, or event invitations. By automating the collection of email addresses from multiple sources, you can focus on engaging with leads rather than searching for their contact details. This tool is especially useful for teams that need to scale their outreach while maintaining data accuracy.
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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.
