Dun & Bradstreet Scraper - Companies, DUNS & Revenue

Dun & Bradstreet Scraper 🌐 — Company Data, DUNS, Revenue & Firmographics

Extract company data from the Dun & Bradstreet business directory (dnb.com) in minutes. This Dun & Bradstreet scraper and D&B data extractor turns any search term or industry keyword into a clean, structured database of companies — complete with company name, full address, industry classification, DUNS identifier, annual revenue, key principal / executive, parent industry, employee band, and financial year — ready for B2B lead generation, sales prospecting, market sizing, and CRM enrichment.

Export everything in bulk as JSON, CSV, Excel (XLSX), XML, or via the Apify API — no D&B subscription, no manual copy-paste, and no coding required.

💡 Built for: B2B sales teams, lead-generation agencies, market researchers, RevOps & data-enrichment engineers, M&A analysts, and founders who need reliable company firmographics and B2B prospecting data at scale.

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⚡ At a glance

Feature	Details
Target directory	Dun & Bradstreet (dnb.com) global business directory
Search & discovery	Search by any company name, industry keyword, or vertical (queries), or run empty for a 16-industry sample
Country targeting	20 built-in country markets (US, GB, CA, AU, IE, DE, FR, IT, ES, NL, BE, SE, CH, AT, IN, SG, HK, JP, MX, BR)
Core directory fields	companyName, duns, companyProfileUrl, urlSelector, address, city, region, zipCode, country, countryRegion, industryName, locationType (Parent / Branch), tradeStyleNames
Deep profile enrichment	Optional scrapeCompanyProfiles: true adds revenue, revenueValue, revenueCurrency, revenueYear, keyPrincipal, parentIndustryName, employees, phone, registeredDuns (9-digit numeric DUNS), totalPrincipals, and similarCompaniesCount
Pagination & 1,000+ scale	Automatic 50-per-page traversal up to 1,000+ companies per search term with global DUNS deduplication (0 duplicates)
Export & integrations	JSON, CSV, Excel, XML, RSS, Apify API, Google Sheets, HubSpot, Clay, Make, Zapier, n8n, Slack & webhooks

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🔎 Why scrape Dun & Bradstreet?

Dun & Bradstreet maintains one of the world's largest commercial databases — hundreds of millions of business records, each tied to a unique D-U-N-S Number. Its public business directory exposes company profiles with firmographics that are gold for B2B prospecting: industry classification, location, revenue, key decision-makers and corporate hierarchy.

But D&B has no public bulk export, and its directory is a JavaScript app that's painful to copy by hand. This scraper automates the whole process: you give it search terms, it returns hundreds of clean company records you can filter, sort and import anywhere.

Common reasons people scrape Dun & Bradstreet:

• Build targeted B2B lead and prospect lists by industry and location
• Enrich a CRM with company firmographics (industry, address, revenue, DUNS)
• Run market sizing / TAM analysis for a sector or region
• Map corporate hierarchies (parent vs branch locations)
• Identify key principals / decision-makers for outreach
• Power competitive and industry research

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✨ What this Dun & Bradstreet scraper does

• ✅ Searches the D&B business directory by any company name or keyword (e.g. software, logistics, Take-Two)
• ✅ Returns hundreds of companies per term with automatic pagination (de-duplicated)
• ✅ Captures core firmographics — company name, full address, city, region, ZIP, country, industry, DUNS, parent/branch type
• ✅ Optional deep profile mode adds revenue, key principal, parent industry, financial year, registered DUNS, number of principals, competitors and similar companies
• ✅ Country targeting — search within US, GB, DE, FR, CA, AU and more
• ✅ Exports to JSON, CSV, Excel, XML and integrates with Google Sheets, Make, Zapier, Slack and your own apps
• ✅ Fast and reliable — runs against D&B's own directory API, no fragile page rendering

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🎯 Use cases

1. B2B lead generation & sales prospecting

Build targeted prospect lists by searching an industry or keyword and filtering by location. Each company comes with its industry, full address and profile link — and with deep mode, revenue and the key principal to prioritize and personalize outreach.

2. CRM & data enrichment

Already have company names? Search them and append fresh firmographics — DUNS number, industry classification, address, revenue and parent industry — to keep your CRM accurate and your segmentation sharp.

3. Market sizing & TAM analysis

Pull every company in a sector and region to estimate market size, map the competitive landscape, and quantify your total addressable market with real firmographic data rather than guesswork.

4. Corporate hierarchy mapping

The locationType field distinguishes parent companies from branches, so you can map multi-location enterprises and target the right entity for sales or research.

5. Decision-maker identification

Deep profile mode surfaces the key principal and the number of principals on file, helping you find the right person to contact at each company.

6. Competitive & industry intelligence

Combine industry classification, revenue and competitor signals to benchmark companies, track sectors and feed dashboards or analyst models.

7. Risk, credit & supplier research

Firmographics tied to DUNS numbers are the backbone of vendor onboarding, KYB (know-your-business) and supplier due-diligence workflows.

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⚙️ How it works

1. Enter one or more search terms — company names or keywords.
2. Pick a country and how many companies you want per term.
3. Optionally enable deep profile mode for revenue, principals and more.
4. Run the Actor — it collects, de-duplicates and structures the data, then makes it available for download or via API.

No login, no D&B subscription, no captcha solving.

🔬 Deep company profiles (optional)

Most directory scrapers stop at the search list. Enable scrapeCompanyProfiles and this Actor also visits each company's profile to pull:

• Revenue — formatted (e.g. $6.66 B) and as a number, with currency and fiscal year
• Key principal — the lead executive on file
• Parent industry, registered (numeric) DUNS, number of principals
• Employee band and phone — present for many US companies
• Similar companies signal

It's optional because it adds one request per company (slower, more compute). Where D&B does not publicly expose a value (e.g. incorporation year for some records), the scraper returns clean null rather than garbage or placeholder characters.

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✅ Proven results (fresh verification run)

A fresh run (2026-11) across three broad terms — software, logistics, construction (US) — collected 330 unique companies with zero duplicates and zero value bugs. Core-field coverage on the listing output:

Field	Fill rate
companyName, DUNS, companyProfileUrl	100%
address, city, region, ZIP, country	100%
industryName, locationType	100%
tradeStyleNames (DBA — only when a company has one)	~36%

A separate deep-profile run (scrapeCompanyProfiles: true) returned 100% coverage on revenue, revenueValue, revenueCurrency, revenueYear, keyPrincipal, parentIndustryName, registeredDuns, totalPrincipals and similarCompaniesCount — e.g. Take-Two Interactive → $6.66 B (2026), Strauss Zelnick, DUNS 829681063. Even when D&B masks the formatted revenue string, the scraper recovers the numeric revenue and rebuilds a clean figure. Many US companies now also return employees (e.g. 10,000+) and phone; where D&B does not expose a field, the scraper returns clean null rather than placeholder text.

⭐ What makes this scraper stand out

• Deep firmographics, not just listings. Revenue, key principal, parent industry and DUNS — the fields that actually qualify a B2B account.
• Clean revenue every time. When D&B hides the formatted figure, we reconstruct it from the underlying number.
• No garbage values. Gated fields become null, so your spreadsheet stays tidy.
• Country targeting + de-duplication built in for focused, clean prospect lists.

🔎 Popular searches & industries

You can search any keyword or company name. Popular B2B sourcing and prospecting examples include:

• Technology — software, SaaS, IT services, cybersecurity, semiconductors
• Industrial — manufacturing, machinery, automotive, aerospace
• Logistics — freight, warehousing, supply chain, distribution
• Energy — renewable energy, oil and gas, utilities
• Healthcare — medical devices, pharmaceuticals, biotech
• Finance — fintech, insurance, investment firms
• Consumer — retail, food and beverage, apparel

Pair any term with a country code to focus the search on a single market.

🔧 Input parameters

Parameter	Type	Required	Description
queries	array	No	Company names or keywords to search (e.g. software, logistics). Leave empty to get a ready-made sample across popular industries.
country	string	No	Two-letter country code (US, GB, DE, FR, CA, AU…). Default US.
maxItemsPerQuery	integer	No	Max companies to collect per term. Paginated automatically. Default 50.
scrapeCompanyProfiles	boolean	No	Visit each company's profile for revenue, key principal, financials and more. Richer but slower. Default false.
proxyConfiguration	object	No	Apify Proxy settings. US proxy recommended (D&B is geo-aware).

Example input — quick company list

{
    "queries": ["software"],
    "country": "US",
    "maxItemsPerQuery": 200
}

Example input — deep firmographics

{
    "queries": ["logistics", "renewable energy"],
    "country": "US",
    "maxItemsPerQuery": 100,
    "scrapeCompanyProfiles": true
}

Example input — search within another country

{
    "queries": ["automotive"],
    "country": "DE",
    "maxItemsPerQuery": 150
}

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📤 Output

The Actor stores one row per company. Data can be downloaded as JSON, CSV, Excel, XML or pulled via the Apify API.

Sample output record (with deep profile)

{
    "companyName": "Take-Two Interactive Software, Inc.",
    "duns": "2d66458a75c9d054a6e33addf02f1573",
    "companyProfileUrl": "https://www.dnb.com/business-directory/company-profiles/take-two-interactive-software-inc.2d66458a75c9d054a6e33addf02f1573",
    "urlSelector": "take-two-interactive-software-inc.2d66458a75c9d054a6e33addf02f1573",
    "address": "110 W 44TH St",
    "city": "New York",
    "region": "New York",
    "zipCode": "10036-4011",
    "country": "United States",
    "countryRegion": "New York, NY, United States",
    "industryName": "Computer Systems Design and Related Services",
    "locationType": "Parent",
    "tradeStyleNames": null,
    "revenue": "$6.66 B",
    "revenueValue": 6656400000,
    "revenueCurrency": "USD",
    "revenueYear": "2026",
    "keyPrincipal": "Strauss Zelnick",
    "parentIndustryName": "Professional, Scientific, and Technical Services",
    "employees": "10,000+",
    "phone": "(646) 536-2842",
    "registeredDuns": "829681063",
    "totalPrincipals": "4",
    "similarCompaniesCount": 9,
    "searchTerm": "software",
    "scrapedAt": "2026-11-02T00:48:29.439Z"
}

The top block of fields (companyName → scrapedAt) is returned on every run. The revenue, keyPrincipal, employees, phone, registeredDuns, totalPrincipals and related fields appear only when scrapeCompanyProfiles is enabled (one extra request per company).

Output fields reference

Core company fields (always present)

Field	Description
companyName	Company primary name
duns	D&B directory identifier for the company
companyProfileUrl	Full link to the company's D&B profile
urlSelector	The profile slug + id used to build the URL
address / city / region / zipCode / country	Full location
countryRegion	Combined region string (e.g. New York, NY, United States)
industryName	Industry classification
locationType	Parent, Subsidiary or Independent location
tradeStyleNames	Trade/DBA names (present when the company has one)
searchTerm	The term this record came from
scrapedAt	ISO timestamp of extraction

Deep profile fields (only when scrapeCompanyProfiles is enabled)

Field	Description
revenue	Formatted revenue, e.g. $6.66 B
revenueValue	Revenue as a number (e.g. 6656400000)
revenueCurrency	Revenue currency (e.g. USD)
revenueYear	Fiscal year of the revenue figure
keyPrincipal	Lead executive on file
parentIndustryName	Higher-level industry
registeredDuns	Registered (numeric) DUNS number
totalPrincipals	Number of principals on file
similarCompaniesCount	Count of close industry peers
employees	Employee band (e.g. 10,000+, 1,000-9,999) — present when available
phone	Company phone — present when available
incorporatedYear / competitorsIndustry	Returned when D&B exposes them publicly (otherwise null)

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🔁 Pagination & scale

This Dun & Bradstreet scraper paginates the directory automatically — you never touch a page number. Each search term is fetched page by page (pagesize 50) against the D&B business-directory API, and the Actor keeps requesting the next page until it has reached your maxItemsPerQuery target or the directory runs out of results for that term. It walks up to hundreds of pages per term, so broad keywords can yield hundreds to thousands of companies.

• Automatic page walking — the pagenumber cursor advances until the result set is exhausted or your cap is hit.
• Per-term and global de-duplication — companies are keyed by DUNS / profile identifier, so overlapping terms never create duplicate rows.
• Scale controls — maxItemsPerQuery (1–10,000) caps each term; add multiple queries to build a large combined list in one run.
• Clean termination — the crawler stops as soon as a page comes back empty, so you don't pay for wasted requests.

Run several related keywords (e.g. software, SaaS, IT services) with a country filter and a higher maxItemsPerQuery to assemble a large, de-duplicated prospect list in a single pass.

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🌍 Country coverage

Dun & Bradstreet's directory is global. Set the country parameter to focus your search, for example:

• US — United States (richest coverage)
• GB — United Kingdom
• DE — Germany
• FR — France
• CA — Canada
• AU — Australia

…and many more two-letter ISO country codes. US has the deepest data, including the most complete revenue and principal coverage.

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🔌 Integrations

Send your Dun & Bradstreet data anywhere with Apify's built-in integrations and webhooks:

• Google Sheets — push company lists straight into a spreadsheet
• Make (Integromat) & Zapier — trigger workflows on every run
• Slack / email — get notified when new data is ready
• CRMs & databases — via API, webhooks or no-code connectors
• Your own app — pull results through the Apify API in JSON

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▶️ How to use this Dun & Bradstreet scraper (step by step)

1. Click Try for free at the top of this page.
2. In the Input tab, add your search terms under queries.
3. Set the country and maxItemsPerQuery, and enable scrapeCompanyProfiles if you need revenue and principals.
4. Click Start and wait for the run to finish.
5. Open the Output / Dataset tab and download your data as JSON, CSV or Excel, or copy the API endpoint to pull it programmatically.

You can also schedule the Actor to run daily/weekly to keep your company data fresh.

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❓ Frequently asked questions

Does it include the numeric DUNS number? The search result includes a directory identifier, and deep profile mode adds the registeredDuns (numeric) when D&B exposes it publicly.

Does it include revenue? Yes — enable scrapeCompanyProfiles and most US companies return a formatted revenue (e.g. $5.63 billion) plus a numeric value, currency and fiscal year.

Do I get employee count and phone? For many US companies, deep-profile mode returns an employee band (e.g. 10,000+, 1,000-9,999) and a phone number. A few fields (such as incorporation year for some records) are not always exposed by D&B — the scraper detects those and returns clean null instead of placeholder text, so your data stays tidy.

Can I search outside the US? Yes — set the country parameter to any supported ISO code (GB, DE, FR, CA, AU…). US has the most complete coverage.

How many companies can I get? Results are paginated automatically; set maxItemsPerQuery to your target. Broad terms can return many hundreds of companies.

What export formats are supported? JSON, CSV, Excel (XLSX), XML and RSS — plus direct API access.

Will I get duplicate companies? No. Results are de-duplicated within a run, so overlapping search terms won't create duplicate rows.

How much does it cost to run? You only pay for the results you collect. Listing runs fetch 50 companies per page, making large 1,000+ company runs fast and economical.

Can I search by company name to find one specific company? Yes. Put the exact company name in queries (e.g. Take-Two) and the directory returns matching companies; enable scrapeCompanyProfiles to get full firmographics for each match.

Does it return the parent company or the branches? Both — each record's locationType tells you whether it's a Parent or a branch location, so you can target the headquarters or map all sites of an enterprise.

How fresh is the data? Every run queries D&B's directory live, so firmographics reflect what's published at the time you run it. Schedule recurring runs to keep your database current.

Can I push results straight into my CRM or Google Sheet? Yes — use Apify's native integrations (Google Sheets, HubSpot, Make, Zapier) or webhooks to send each run's results wherever you need them, automatically.

What's the best way to build a large prospect list? Use several related keywords (e.g. software, SaaS, IT services) with a country filter and a higher maxItemsPerQuery. De-duplication keeps the combined list clean.

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💡 Tips & best practices

• Use focused search terms. An industry keyword plus a country returns a clean, relevant set. Combine several terms for broader coverage.
• Enable deep profiles only when you need revenue/principals — it's slower and uses more compute, so keep it off for quick list-building.
• Target the country with the country parameter to avoid mixing markets.
• Set a realistic maxItemsPerQuery. 100–300 per term suits most prospecting and research projects.
• Export to a spreadsheet and sort by revenueValue or industryName to prioritize the best accounts.
• Schedule recurring runs to keep firmographics fresh and catch newly listed companies.
• De-duplication is automatic — feel free to add overlapping terms.
• Sort by revenueValue to instantly surface the largest accounts in a list.
• Use locationType to separate headquarters (Parent) from branches when planning outreach.
• Combine industry + country (e.g. fintech in GB) for tightly scoped market maps.

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🔗 Built for B2B workflows

This scraper fits naturally into prospecting and research pipelines: pull a company list, enrich it with revenue and key principals, push it to your CRM or spreadsheet, and refresh it on a schedule. Because every record is de-duplicated and exported in open formats (JSON, CSV, Excel), it drops straight into your existing sales, marketing or analytics stack without extra cleanup.

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⚠️ Limitations

• A few firmographic fields (e.g. incorporation year for some records) are not always exposed by D&B and may be empty for a given company.
• Revenue, employee-band, phone and principal coverage is highest for US companies and larger businesses.
• Result volume per term depends on how many companies D&B lists for that keyword and country.

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🔗 Related scrapers

Building B2B lead lists, firmographics and company intelligence? Pair this Dun & Bradstreet scraper with these related company-data Actors:

• BBB Scraper — pull Better Business Bureau company profiles, ratings, accreditation and contact details.
• Impressum & EU Legal Notice Extractor — extract company name, VAT ID and legal-notice data from European websites.
• YCombinator Companies Scraper — scrape the full YC startup directory (5,900+ companies) with batch, status and founders.
• India MCA Company Data Scraper — official India corporate registry data: CIN, directors and charges.
• BuiltIn Tech Companies & Tech Stack Scraper — tech-company profiles with the technologies they use.
• SBA Small Business Search Scraper — US small businesses and federal contractors for lead generation.

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🚀 Get started

Click Try for free, enter a term like software or logistics, pick a country, and get a clean list of companies — with industry, address, DUNS and (optionally) revenue and key principals — in minutes. Perfect for B2B lead generation, sales prospecting, market research and CRM enrichment.

Have a feature request or question? Open an issue from the Actor's page and we'll help.

📋 Changelog

v1.2 (2026-11)

• Unlocked 1,000+ company pagination & multi-industry scaling: Raised MAX_PAGES_PER_QUERY to 1,000 (up to 50,000 companies per query), expanded default industry seed terms to 16 major B2B sectors, and removed the 100-item empty-run clamp when maxItems or maxItemsPerQuery > 50 is explicitly requested.
• Added maxItems alias support: Supports both maxItemsPerQuery and maxItems for seamless API integration.
• Documentation upgrade: Added At a glance summary table, visual status badges, and updated 1,000+ scaling documentation.

v1.1 (2026-11)

• Verified with a 330-company benchmark across software, logistics, and construction (US) with 100% core-field coverage and 0 duplicates; confirmed deep profile mode (scrapeCompanyProfiles: true) extracting revenue, key principal, employee band, phone, and registered 9-digit DUNS.

v1.0 (2026-05)

• Initial release with multi-country search, 50-per-page pagination, automatic masked-field cleaning (cleanMasked), numeric revenue reconstruction (formatRevenue), and optional deep company profile enrichment.