Contact List Cleaner
By
Clean and standardize contact lists by removing duplicates, fixing formats, and flagging invalid entries. Get an organized file ready for imports and outreach.
Upload Contact List File
Paste Contact List
Automate Contact Data Extraction FastUse Thunderbit to scrape and extract contact details from websites, subpages, PDFs, docs, and images with minimal setup. Export structured results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Automate Contact Data Extraction Fast
Collect contact data at scale with Thunderbit’s AI Web Scraper Chrome extension. Click AI Suggest Fields, scrape pages and subpages, and extract structured details from websites, PDFs, docs, and images for faster list building.
Clean up your workflow by summarizing, categorizing, and formatting extracted fields into a consistent table. Export to Google Sheets, Airtable, or Notion to review, dedupe, and keep your CRM-ready data organized.
How to Clean Contact Lists 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 the Thunderbit Chrome Extension, then select the Contact List Cleaner tool. Choose one input method: (1) In the "Upload Contact List File" tab, upload one CSV or XLSX file that includes columns such as name, email, and phone, then choose your preferred "output_format" (same as input, csv, or xlsx). Or (2) In the "Paste Contact List" tab, paste your contacts into the multi-line text box using CSV-like rows, tab-separated values, or one contact per line, then choose an output format (csv or xlsx).
STEP 3Click the Clean contact list ButtonClick the "Clean contact list" button to generate a cleaned, standardized table. Thunderbit will remove or merge duplicates (based on matching email or normalized phone), correct common formatting issues (such as trimming whitespace, lowercasing emails, and standardizing phone numbers), and flag invalid or questionable entries for review. When the results appear, download the cleaned list in your selected format and review any rows marked as invalid or needs_review before importing into your CRM or other system.
Learn how to clean and standardize contact lists for reliable imports
Upload or paste contact lists to clean
Bring messy contact data into one place by uploading a CSV or XLSX file, or pasting rows as CSV-like or tab-separated text. Contact List Cleaner is built for sales, marketing, recruiting, and operations teams who inherit mixed-format lists from forms, events, vendors, or teammates. It prepares your data for downstream tools by turning inconsistent entries into a structured, reviewable contact table.
Remove duplicates and validate key fields
Clean up duplicates and common formatting issues by normalizing names, lowercasing and validating emails, and standardizing phone numbers toward E.164-style formatting. The tool flags invalid or ambiguous entries for review, so you can avoid bounced emails, mis-dialed numbers, and CRM import errors. When duplicates are found, it keeps the most complete record and records what was merged.
Prepare lists for CRM and outreach workflows
Use the cleaned output to build reliable lead lists for outreach, newsletter tools, or CRM imports. Each row includes a status, issues, and actions taken, making it easy to filter to valid contacts, isolate needs-review records, and audit what changed. This is useful when consolidating contacts from multiple sources before assigning owners, starting sequences, or running enrichment.
Export cleaned contacts in the format your team needs
Download the cleaned list in the same format as the original file, or choose CSV or XLSX depending on your workflow. This supports common handoffs across teams, such as sending a cleaned spreadsheet to sales ops, importing into a CRM, or sharing a review file with stakeholders. Keeping a consistent schema also helps reduce repeated cleanup work each time the list is updated.
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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.