Website Contact Scraper
By
Pull emails, phone numbers, and social links from a webpage URL. Review results in a structured table. Save time on outreach and research.
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 Website Contacts with ThunderbitUse Thunderbit to scrape websites fast and turn contact pages into structured data with a few clicks. Automate extraction while you browse and export results.
Install fromChrome Web Store
Extract Website Contacts with Thunderbit
Collect emails, phone numbers, and social links from websites without manual copy-paste. Thunderbit’s AI Suggest Fields helps you define the right columns, then Scrape turns pages into structured rows you can review, format, and categorize.
Need more than one page? Use pagination and subpage scraping to follow profile or contact links, and extract data from subpages, PDFs, docs, and even images. Export to Google Sheets, Airtable, or Notion to share with your team and keep lists up to date.
How to Scrape Website Contact Details 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 select the Website Contact Scraper. In the "Enter a Website URL" tab, paste the full URL you want to scan (including http:// or https://), such as https://www.example.com. Confirm the URL is correct before running the scraper so the results map to the right source page.
STEP 3Click the Scrape contact details ButtonClick the "Scrape contact details" button to start extraction. Thunderbit will scan the provided page and return a structured table that can include Name, Email, Phone Number, Social Media Link, and Source Page URL. After the table loads, export the results to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON.
Learn how to extract website contact details from a single URL
Scan a website for contact information
Website Contact Scraper takes one website URL and searches the page for publicly listed contact details. It pulls key fields like name, email address, phone number, and social media links, then organizes them into a clean table. This is built for sales, marketing, recruiting, and research teams that need reliable contact data without manual copy-paste across pages.
Capture source context for every contact
Along with each contact detail, the tool records the Source Page URL so you can trace where the information came from. This helps teams verify accuracy, avoid duplicates, and keep outreach compliant with internal review processes. It’s useful when you’re collecting contacts from partner pages, team directories, or vendor sites and need a clear audit trail for each record.
Build outreach lists for sales and partnerships
Use the scraper to collect emails, phone numbers, and social profiles from company sites when prospecting or qualifying leads. Sales teams can compile contact lists from “Contact,” “About,” or staff pages, while partnership teams can gather the right channels to reach affiliates, resellers, and local distributors. The structured output makes it easier to prioritize targets and track follow-ups.
Support research, recruiting, and operations workflows
Researchers can document public contact points for organizations, journalists, or communities, while recruiters can find hiring contacts and social profiles on company pages. Operations teams can also maintain vendor directories by collecting phone numbers and emails for support and billing. The table format keeps details consistent, making it easier to review, share, and update contact records over time.
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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.
