Name Parser
Name Parser
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Parse full names into prefix, first, middle, last, and suffix. Standardize entries for cleaner CRMs, forms, and databases. Supports varied cultural formats.
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Extract Structured Names While You BrowseUse Thunderbit to scrape names from webpages, subpages, PDFs, docs, and images, then extract them into clean fields. Automate collection and export to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Extract Structured Names While You Browse
Collect contact names from directories, listings, and profile pages with Thunderbit’s AI Web Scraper Chrome extension. Click AI Suggest Fields to detect name-related columns, scrape pages with pagination, and use subpage scraping to enrich each row with details from profile pages.
Scrape from websites plus PDFs, docs, and images, then have Thunderbit structure, categorize, and format the results for your workflow. Export structured data to Google Sheets, Airtable, or Notion, or download as CSV or JSON.
How to Parse a Full Name 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 Name Parser tool. In the "Parse a Full Name" tab, enter the full name in the "full_name" field (for example, "Dr. John Michael Smith Jr."). Next, choose your preferred "output_format" from the dropdown: "json" for a JSON object, or "key_value_lines" for a five-line key-value output.
STEP 3Click the Parse name ButtonClick the "Parse name" button to generate a structured breakdown of the name. Thunderbit returns the components as prefix, first_name, middle_name, last_name, and suffix, using empty strings for any missing parts. After the result appears, copy the output text and paste it into your database, CRM, spreadsheet, or any workflow that needs standardized name fields.
Learn how to parse full names into structured fields
Parse a full name into components
Name Parser takes a single full-name string and splits it into prefix, first name, middle name, last name, and suffix. It helps teams clean up messy name inputs from forms, spreadsheets, and lead lists so records stay consistent. It is built for sales ops, marketing ops, and admins who need reliable name fields for sorting, personalization, and database hygiene without manual editing.
Handle prefixes, suffixes, and multi-part surnames
The tool recognizes common prefixes and suffixes such as Dr. and Jr., and keeps multi-part family names together when they belong as a unit. It also supports multiple middle names by returning them as a single middle_name value. This is useful for global datasets where naming conventions vary, helping reduce mismatches and duplicate contacts caused by inconsistent formatting.
Standardize CRM and spreadsheet contact data
Use Name Parser to prepare contact lists for CRMs, email tools, and internal databases by converting a single “Full Name” column into structured fields. Structured names improve segmentation, deduplication, and mail merge personalization like using first_name in outreach. The output can be returned as JSON for developers or as key-value lines for quick copy-paste into docs, tickets, or spreadsheets.
Improve lead enrichment and web-scraped datasets
When you collect names from websites, PDFs, or images with Thunderbit, Name Parser helps turn unstructured name strings into clean columns you can join with other fields like email, company, and role. This supports workflows such as routing leads by last name, generating personalized greetings, and keeping consistent naming across sources. It is a practical step for teams building repeatable enrichment pipelines.
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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.
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