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CSV to vCard Converter

CSV to vCard Converter

Turn CSV contact lists into VCF files for quick importing. Map columns to vCard fields to keep data clean. Ideal for moving contacts between apps.

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Want to scrape data in bulk? Try Thunderbit for free.

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Convert Web Data into Clean TablesUse Thunderbit to scrape and extract structured data from websites fast with AI. Automate collection across pages and export to Sheets, Airtable, or Notion.
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Convert Web Data into Clean Tables

Thunderbit’s AI Web Scraper Chrome extension pulls structured data from websites, including subpages, PDFs, docs, and images. Use AI Suggest Fields to define columns, then scrape and have the results summarized, categorized, or formatted into a clean table. Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use pagination and subpage scraping to collect complete datasets with minimal setup, and keep workflows moving with repeatable, automated extraction.

How to Convert CSV to vCard Using Thunderbit

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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_02.png
STEP 2Open ExtensionOpen the Thunderbit Chrome Extension, then open the CSV to vCard Converter tool. In the "Upload CSV File" tab, upload your CSV file (with headers such as First Name, Last Name, Email, and Phone). Select the vCard version you want to generate (vCard 3.0 or vCard 4.0). If your CSV uses non-standard headers, add mapping rules in the column mapping instructions box (for example, "Phone Number->tel" and "Email Address->email") so Thunderbit can map your columns to the correct vCard fields.
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STEP 3Click the Convert to vCard ButtonClick the "Convert to vCard" button. Thunderbit will parse the first row as headers, convert each CSV row into a separate vCard entry, and generate valid VCF text using the version you selected. Copy the output into a .vcf file, then import that file into your address book or email application. If you need the results in another system, you can also paste the VCF content into your preferred workflow or storage tool.

Learn how to convert CSV contact lists into vCard files

Convert CSV contacts into vCard (VCF)

Turn a spreadsheet-style CSV contact list into a standard vCard (VCF) file that most address books and email clients can import. Upload a CSV with headers like First Name, Last Name, Email, and Phone, and the tool creates one vCard per row. It’s built for teams and individuals who manage contact lists in spreadsheets and need a reliable import format without manual copy-paste.
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Map columns to the right vCard fields

Handle non-standard CSV headers by providing simple mapping rules, such as “Phone Number->tel” or “Company->org.” If you do not provide mappings, the tool infers common fields from typical header names. This helps operations, sales, and recruiting teams convert exports from CRMs, lead vendors, event tools, or web forms into clean vCards, while avoiding mismatched fields and messy imports.
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Choose a vCard version for your target app

Generate vCard 3.0 or vCard 4.0 depending on what your contact manager supports. Each contact includes the required vCard structure (BEGIN/END, VERSION) and uses standard properties when available, such as N, FN, EMAIL, TEL, ORG, TITLE, ADR, URL, and NOTE. This is useful when you need compatibility across different systems, devices, or corporate address book policies.
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Import converted contacts into address books and email tools

Use the resulting VCF text as a ready-to-import contact file for common workflows like onboarding a new sales list, moving contacts between tools, or consolidating multiple CSV exports into a single address book import. Because the tool omits missing properties rather than filling in guesses, the output stays clean and reduces the risk of incorrect contact records when you import into your preferred contact application.
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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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