Business Listings Scraper

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Collect structured business data from directories and map-based platforms to build high-quality business databases quickly and efficiently.
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Extract Business Listings at ScaleScrape business data from directories and maps in seconds with Thunderbit. Automate extraction and export to your favorite tools.
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Extract Business Listings at Scale

Thunderbit scrapes business listings from websites, directories, and map-based platforms, capturing details like name, address, phone, reviews, and more. With AI-powered field suggestions and subpage scraping, you can extract structured data from even the most complex listings—no manual copy-paste required. Export your results directly to Google Sheets, Airtable, or Notion, and use built-in templates for popular sites like Yelp and Yellow Pages. Thunderbit also supports scraping from PDFs, images, and paginated lists, making it a versatile solution for sales, marketing, and research teams.

How to Extract Business Listings 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 ExtensionNavigate to the business listings page you want to extract data from, such as Yelp, Yellow Pages, or Bing Maps. Open the Thunderbit Chrome Extension and select the "Business Listings Scraper" tool from the menu. Paste the URL of the business listings page into the provided field.
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STEP 3Click the Extract Business Listings ButtonClick the "Extract Business Listings" button. Thunderbit will process the page and extract structured business data, including title, review rating, number of reviews, pricing, phone number, website, status, and address. Once extraction is complete, you can export the results to Excel, Google Sheets, Airtable, Notion, or download them as a CSV or JSON file.

Learn how to extract business listings from directories and map platforms

Collect Business Data from Multiple Sources

The Business Listings Scraper enables users to extract structured business information from a wide range of commercial directories and map-based platforms, such as Yelp, Yellow Pages and more. This tool is ideal for sales teams, marketers, and researchers who need to gather up-to-date business details at scale. By automating the data collection process, it helps users avoid manual copy-paste tasks and ensures data consistency across large datasets.
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Capture Key Business Details Automatically

With just a single URL input, the tool retrieves essential business attributes including name, review rating, number of reviews, pricing, phone number, website, status, and address. This comprehensive extraction covers all the critical fields needed for lead generation, market analysis, or competitive research. The automated process reduces the risk of missing important information and increases the reliability of your business database.
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Build and Export High-Quality Business Databases

After extracting business listings, users receive the data in a structured table format. The output can be exported to Excel, Google Sheets, Airtable, or Notion, making it easy to integrate with existing workflows. This feature is especially useful for teams that need to organize, filter, or analyze business data for outreach campaigns, reporting, or CRM updates. The export options help streamline data management and collaboration.
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Support Sales Prospecting and Local Market Research

The Business Listings Scraper is particularly valuable for sales professionals, agencies, and local business consultants who need to identify and contact potential clients. By quickly generating lists of businesses with contact details and ratings, users can prioritize outreach, monitor competitors, or assess local market opportunities. The tool’s ability to handle various directory formats ensures broad applicability across industries and regions.
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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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