🏢 Dun & Bradstreet Company Scraper

🚀 Pull company data from Dun & Bradstreet's 500M+ business directory in minutes. Industries, locations, revenue, employee counts, DUNS numbers, competitors. No API key, no manual CSV wrangling.

🕒 Last updated: 2026-05-08 · 📊 26 fields per company · 🌍 Country, role, size filters · 🚫 No auth required

Pull live company records from the Dun & Bradstreet (D&B) public business directory, the world's largest commercial database with over 500 million entities. The actor walks D&B search results with your filter combination, paginates through pages, and returns one structured record per company ready for sales prospecting, supply-chain due diligence, B2B enrichment, or competitive market mapping.

Every run fetches data live so you get the current state of D&B at run time. Records include the company name, trade style, DUNS number, industry classification, company type and role (parent / branch / subsidiary), revenue, employee count, year founded, key principal name and title, phone, full address, website, list of industries, list of competitors, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Sales and BDR teams	Build prospect lists by industry and country
RevOps and CRM enrichment	Add DUNS and revenue to existing accounts
Supply chain and procurement	Vendor diligence and competitor mapping
Investment research	Map private companies in target markets
Compliance and KYC	Validate counterparty data with DUNS-keyed records
Researchers	Study industry composition and concentration

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📋 What the D&B Scraper does

• 🔍 Keyword search. Pass a company name or industry keyword (e.g. pharma, Goldman Sachs).
• 🌍 Country filter. Restrict results by ISO Alpha-2 country code (US, DE, GB, etc.).
• 🏗️ Hierarchy role. Filter by parent, branch, subsidiary, or all.
• 👥 Employee size. Filter by min and max employee count.
• 🆔 DUNS number. Every record includes the unique D&B identifier.
• 🔗 Direct profile lookup. Pass D&B profile URLs in startUrls for direct enrichment of known companies.

The scraper accepts a search query plus filters, builds the matching D&B URL, walks the result pages, and pushes structured records to the dataset. Enable includeDetails to fetch each company's detail page for revenue, employees, year founded, industries list, and top competitors.

💡 Why it matters: D&B is the canonical source for company DUNS records but the public directory is paginated, JS-rendered, and filter-locked. A live, structured pull beats manual sourcing for B2B prospecting, KYC, and supply-chain mapping at scale.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Salesforce or HubSpot via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
searchQuery	string	Search Query	Company name or keyword (e.g. Apple, Goldman Sachs, pharma).
maxItems	integer	Max Results	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
startUrls	array	Start URLs	D&B search URLs or direct profile URLs (e.g. .../tesla_inc.e337e93c....html). Overrides searchQuery.
countryCode	string	Country Code	ISO Alpha-2 country code (US, DE, GB, CA).
companyRole	enum	Company Role	all, parent, branch, or subsidiary.
minEmployees	integer	Min Employees	Lower bound on employee count.
maxEmployees	integer	Max Employees	Upper bound on employee count.
includeDetails	boolean	Include Detail Data	When true, fetches a detail page per company for revenue, employees, year founded, industries, competitors.
proxyConfiguration	object	Proxy Configuration	Proxy settings. Defaults to Apify residential pool (US) which is required for reliable access.

Example 1. US pharma parent companies with 1,000+ employees, full enrichment.

{
  "searchQuery": "pharmaceutical",
  "countryCode": "US",
  "companyRole": "parent",
  "minEmployees": 1000,
  "includeDetails": true,
  "maxItems": 100
}

Example 2. Direct enrichment of two known companies via profile URLs.

{
  "startUrls": [
    "https://www.dnb.com/business-directory/company-profiles.tesla_inc.e337e93c824d992066152d1a14d8d8e8.html",
    "https://www.dnb.com/business-directory/company-profiles.apple_inc.b0f78e7fa9e2d7ba1be9e1d99e30e90b.html"
  ],
  "includeDetails": true,
  "maxItems": 2
}

⚠️ Good to Know: when startUrls is set, every other filter is ignored. Use it for ad-hoc enrichment from specific D&B URLs.

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📊 Output

The dataset returns one structured record per company. Each record carries identifiers (DUNS, company name, trade style), industry classification, location detail, key principal contact, revenue and employee data, website, phone, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🔗 profileUrl	string (url)	https://www.dnb.com/business-directory/company-profiles.apple_inc.b0f78e7f...html
🏢 companyName	string	Apple Inc.
🆔 duns	string	06-053-2009
🏷️ tradeStyleName	string	Apple
🏭 industryName	string	Computer Manufacturing
🏢 companyType	string	Public Company
🔗 companyRole	string	Parent
🌐 website	string (url)	https://www.apple.com
💰 revenue	string	$394.3B
👥 employees	number	164000
📅 yearFounded	number	1976
👤 keyPrincipal	string	Tim Cook
💼 keyPrincipalTitle	string	Chief Executive Officer
📞 phone	string	+1 408 996 1010
📊 stockExchange	string	NASDAQ: AAPL
📈 salesGrowthPercent	number	2.5
👥 totalPrincipals	number	12
📇 totalContacts	number	46
🏠 address	string	1 Apple Park Way
🏙️ city	string	Cupertino
📍 region	string	California
📮 zipCode	string	95014
🌍 country	string	United States
🏷️ industries	array	["Computer Manufacturing", "Consumer Electronics", "Software"]
🏢 competitors	array	["Samsung", "Google", "Microsoft"]
📝 description	string	Apple Inc. designs, manufactures, and markets...
📅 scrapedAt	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Public US parent company (full enrichment)

{
  "profileUrl": "https://www.dnb.com/business-directory/company-profiles.apple_inc.b0f78e7fa9e2d7ba1be9e1d99e30e90b.html",
  "companyName": "Apple Inc.",
  "duns": "06-053-2009",
  "tradeStyleName": "Apple",
  "industryName": "Computer Manufacturing",
  "companyType": "Public Company",
  "companyRole": "Parent",
  "website": "https://www.apple.com",
  "revenue": "$394.3B",
  "employees": 164000,
  "yearFounded": 1976,
  "keyPrincipal": "Tim Cook",
  "keyPrincipalTitle": "Chief Executive Officer",
  "phone": "+1 408 996 1010",
  "stockExchange": "NASDAQ: AAPL",
  "address": "1 Apple Park Way",
  "city": "Cupertino",
  "region": "California",
  "zipCode": "95014",
  "country": "United States",
  "industries": ["Computer Manufacturing", "Consumer Electronics", "Software"],
  "competitors": ["Samsung Electronics", "Google", "Microsoft"],
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. Mid-market private company (no detail enrichment)

{
  "profileUrl": "https://www.dnb.com/business-directory/company-profiles.acme_pharma_corp.abc123.html",
  "companyName": "Acme Pharma Corp.",
  "duns": "12-345-6789",
  "industryName": "Pharmaceutical Preparations",
  "companyType": "Private Company",
  "companyRole": "Parent",
  "phone": "+1 617 555 1212",
  "address": "100 Innovation Way",
  "city": "Cambridge",
  "region": "Massachusetts",
  "country": "United States",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. International branch (sparse fields)

{
  "profileUrl": "https://www.dnb.com/business-directory/company-profiles.global_logistics_gmbh.xyz999.html",
  "companyName": "Global Logistics GmbH",
  "duns": "55-123-4567",
  "industryName": "Freight Forwarding",
  "companyRole": "Branch",
  "city": "Hamburg",
  "country": "Germany",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to D&B so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects D&B as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured company data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ D&B Company Scraper (this Actor)	$5 free credit, then pay-per-use	Full D&B public directory	Live per run	Country, role, size, keyword	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid B2B databases	$$$ monthly per seat	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual CRM enrichment	Hours per record	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the D&B Company Scraper page on the Apify Store.
3. 🎯 Set filters. Set a search query and pick country, role, and employee filters, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Sales prospecting Build target account lists by country and industry Filter by employee size for ideal customer profile fit Source DUNS-keyed records for CRM dedupe Power BDR outreach with verified company data	🏢 RevOps and enrichment Add DUNS and revenue to existing CRM accounts Refresh stale company records automatically Build comp sets for account scoring Standardize industry tagging across your stack
🎯 Supply chain and procurement Vendor diligence with revenue and headcount data Map competitor and supplier relationships Validate counterparty info during onboarding Surface concentration risk in your supply base	🛠️ Engineering and product Prototype B2B data products without owning a crawler Replace fragile in-house D&B scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Dun & Bradstreet Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to run hourly, daily, or weekly snapshots. Combine with the Apify dataset diff tools to track changes between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test Dun & Bradstreet Company Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running Dun & Bradstreet Company Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running Dun & Bradstreet Company Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using Dun & Bradstreet Company Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run Dun & Bradstreet Company Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use Dun & Bradstreet Company Scraper?

Yes. Dun & Bradstreet Company Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

D&B Company Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.

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🔗 Recommended Actors

• 🏢 Crunchbase Scraper - Startup company data with funding rounds and investors
• 📋 SEC EDGAR Full-Text Search Scraper - U.S. SEC filings full-text search
• 📈 PitchBook Companies Scraper - Private company data with investors and funding
• 🇺🇸 FINRA BrokerCheck Scraper - U.S. broker and firm regulatory records
• 📋 Brazil CNPJ Scraper - Brazilian company registry records

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Dun & Bradstreet or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.