Crunchbase Scraper
Crunchbase Scraper
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Extract key company details from any Crunchbase profile, including funding, social links, and descriptions. Save time on research and export structured data in one click.
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Extract Company Data from CrunchbaseScrape company profiles from Crunchbase in seconds with Thunderbit. Get structured data for research, sales, or analysis—no manual copy-paste required.
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Extract Company Data from Crunchbase
Thunderbit lets you pull company names, funding, social links, and more from Crunchbase with just a URL. The AI-powered scraper structures your data and supports exporting to Google Sheets, Airtable, or Notion for easy analysis.
With support for subpage and pagination scraping, Thunderbit captures all relevant company information, even from linked pages or documents. Use built-in templates for popular sites and automate your data collection workflow—no coding or setup needed.
How to Extract Company Details from Crunchbase 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 ExtensionNavigate to the Crunchbase company profile page you want to extract details from. Open the Thunderbit Chrome Extension and select the 'Crunchbase Scraper' tool from the menu. Enter the full Crunchbase company profile URL in the provided field.
STEP 3Click the Extract Company Details ButtonClick the 'Extract Company Details' button. Thunderbit will process the Crunchbase page and extract information such as Company Name,Headquarters Location, Description, Company Type, LinkedIn URL, Facebook URL, Company Website, and Total Funding into a structured table. You can then export the results to Excel, Google Sheets, Airtable, Notion, or download them as CSV or JSON.
Learn how to extract company details from Crunchbase profiles
Extract Comprehensive Company Information
The Crunchbase Scraper allows you to gather a wide range of company details by simply entering a Crunchbase company profile URL. It identifies and organizes information such as company name, headquarters location, full description, company type, social media links, website, and total funding. This tool is ideal for sales, business development, and research professionals who need accurate company data for prospecting or market analysis.
Automate Data Collection for Lead Research
By automating the extraction of company data from Crunchbase, you can save significant time compared to manual research. The tool ensures that all relevant fields are captured and structured in a table, reducing the risk of missing key information. This is especially useful for teams building lead lists, tracking competitors, or enriching CRM records with up-to-date company profiles.
Export and Integrate Company Data Effortlessly
Once the company details are extracted, you can export the data to Excel, Google Sheets, Airtable, or Notion. The output is formatted in a table, making it easy to integrate into your existing workflows. This feature supports quick sharing with your team or direct import into sales and marketing tools, streamlining your data management process.
Enrich CRM and Outreach Campaigns
Use the extracted Crunchbase data to enhance your CRM records or personalize outreach campaigns. With access to company descriptions, funding information, and social media links, you can tailor your messaging and segment your audience more effectively. This helps sales and marketing teams improve targeting and engagement with potential clients or partners.
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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
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week