vCard to CSV Converter
vCard to CSV Converter
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Turn vCard files into a structured CSV for spreadsheets. Supports multiple contacts and preserves key fields. Download a ready-to-import CSV in seconds.
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Convert Contacts Faster with ThunderbitUse Thunderbit to scrape and extract structured contact data from websites, subpages, PDFs, docs, and images. Export to Sheets, Airtable, or Notion with minimal setup.
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Convert Contacts Faster with Thunderbit
Collect contact and business data while browsing with Thunderbit’s AI Web Scraper. It extracts structured fields from websites, follows subpages for enrichment, and can parse PDFs, docs, and images into usable tables.
Clean up workflows by summarizing, categorizing, and formatting extracted data before export. Send results to Google Sheets, Airtable, or Notion, or download as CSV or JSON for your pipeline.
How to Convert vCard to CSV 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 Chrome and launch the Thunderbit extension. In Thunderbit, open the vCard to CSV Converter tool, then go to the tab labeled "Upload a vCard (.vcf) File". Drag and drop your .vcf file into the "vcf_file" upload area (or click the upload area to select a file). Confirm the file is attached before proceeding.
STEP 3Click the Convert to CSV ButtonClick the "Convert to CSV" button to start the conversion. Thunderbit will parse the vCard and output a table where each row is a contact and columns include Full Name, Phone Number, Email, Address, and other available fields. When the results appear, export or download the table as a CSV, or send it to Excel, Google Sheets, Airtable, or Notion using Thunderbit’s export options.
Learn how to convert vCard files into a clean CSV contact list
Upload a vCard file and extract contacts
Import a .vcf file and convert one or many saved contacts into a structured table. The converter reads standard vCard formats and turns each contact into a row, so you can stop copying details by hand. It’s built for anyone moving contacts between systems, including sales teams, recruiters, and operations staff who need a reliable way to turn address books into spreadsheet-ready data.
Preserve key contact fields in separate columns
Keep important details organized as dedicated columns, including full name, first name, last name, organization, job title, phone number, email, address, website, and notes. This makes sorting, filtering, and deduping far easier than working with raw vCard text. It’s especially useful when you need consistent formatting for CRM imports, outreach lists, or team-wide contact directories.
Export a CSV that works with your existing tools
Download the results as a CSV file that opens cleanly in Excel, Google Sheets, and other spreadsheet apps. With one contact per row, you can quickly filter by company, segment by role, or create call lists from phone and email columns. The structured output also helps reduce import errors when you later upload the file into a CRM or contact management system.
Use the converter for migrations, cleanup, and list building
Turn exported contacts from phones, email clients, and legacy CRMs into a format your team can review and standardize. Common workflows include consolidating multiple address books, auditing missing emails or phone numbers, preparing event attendee contacts for follow-up, and creating a shared directory for sales or support. The CSV output makes it simple to validate fields before you import them elsewhere.
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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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PRODUCT HUNT#1 Product of the Week