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Zoominfo scraper

Zoominfo scraper

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Extract company and contact details from ZoomInfo pages into a structured table for faster prospecting and analysis.

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

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Scrape ZoomInfo Data in MinutesUse Thunderbit to automate web scraping and extract structured fields from pages, subpages, PDFs, docs, and images. Export results to Google Sheets, Airtable, or Notion in a few clicks.
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Scrape ZoomInfo Data in Minutes

Collect structured company and contact data while browsing with Thunderbit’s AI Web Scraper Chrome extension. Use AI Suggest Fields to detect the right columns, then scrape listings, pagination, and subpages to enrich each row with details from linked profiles. Thunderbit can also extract data from PDFs, docs, and images, then summarize, categorize, and format it into clean tables. Send your results to Google Sheets, Airtable, or Notion, or download as CSV or JSON for your workflow.

How to Extract Company Details 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.
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STEP 2Open ExtensionIn Chrome, open ZoomInfo and navigate to the company page or a people/company search results page you want to collect. Open the Thunderbit extension, select the Zoominfo Scraper tool, then go to the "Enter a ZoomInfo URL" tab and paste the page link into the URL input. Confirm the output will be a table with fields such as Company Name, Company Website, Headquarters Address, Phone Number, Revenue (USD), Number of Employees, and Industry.
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STEP 3Click the Extract company details ButtonClick the "Extract company details" button to start the scrape. Thunderbit will read the ZoomInfo page and return a structured table with the selected columns. After the table loads, export the results to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for analysis and outreach workflows.

Learn how to extract ZoomInfo company details into a structured table

Extract company profiles from ZoomInfo URLs

Thunderbit’s ZoomInfo Scraper turns a ZoomInfo company page or search results URL into a structured table of company details. It captures key firmographic fields such as Company Name, Website, Headquarters Address, Phone Number, Revenue (USD), Number of Employees, and Industry. This helps sales, marketing, and research teams avoid manual copy-paste and build clean datasets for targeting, segmentation, and account planning.
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Normalize contact-ready fields for outreach workflows

The scraper outputs consistent, analysis-ready columns, including a dedicated Phone Number field type that helps keep formatting reliable for calling and CRM imports. By standardizing company attributes like revenue, headcount, and industry, teams can compare accounts across lists, filter ideal customer profiles, and reduce data cleanup time. Use it when you need repeatable extraction from ZoomInfo pages without building custom scraping rules.
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Build targeted account lists for sales and ABM

Use the extracted company table to create account lists for outbound sales and account-based marketing. Filter by Industry, Revenue (USD), and Number of Employees to prioritize best-fit accounts, then use Company Website and Phone Number to support routing and outreach. This is useful for SDR teams, growth marketers, and RevOps teams who need structured firmographics to qualify accounts and plan campaigns.
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Export structured results to spreadsheets and databases

After extraction, export the table to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for internal systems. This makes it easy to share lists with teammates, run enrichment checks, and combine ZoomInfo-derived firmographics with other sources. The structured output supports reporting, territory planning, and ongoing list maintenance across common tools used by sales and marketing teams.
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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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