Dun & Bradstreet Scraper — Companies, DUNS, Revenue & Real Employee Counts

Extract structured company data from the Dun & Bradstreet business directory (dnb.com) — company name, full address, industry, DUNS, revenue (formatted + numeric + per-year), REAL employee counts, key principal, named executives, stock ticker, website and more — straight from D&B's own directory API. No D&B subscription, no manual copy-paste, no coding required. Export as JSON, CSV, Excel, or via API.

How it works

✨ Why use this scraper?

• ✅ D&B's own directory API, not fragile HTML — the actor calls the same JSON endpoints the dnb.com site uses, so fields arrive structured and stable
• ✅ Real employee counts — where other D&B scrapers return null for gated fields, this one recovers the structured values D&B still ships (e.g. 12,909 (Actual, Consolidated) for Take-Two)
• ✅ Revenue three ways — formatted ($6.66 billion), absolute numeric USD (6656400000), and per-fiscal-year history with accuracy flags; when D&B masks the display string the numeric value is recovered and the formatted figure rebuilt
• ✅ Key principal + named executives with titles, plus counts of principals and contacts on file
• ✅ Three ways in — keyword search (with employee-count + hierarchy-role filters), industry browsing (revenue-sorted directory listings scoped by country → region → city), and direct profile URLs
• ✅ Server-side filters — narrow keyword searches by min/max employees and company role (Parent/HQ, Branch, Subsidiary, Domestic/Global Ultimate) before a single row is billed
• ✅ Country targeting — search within US, GB, DE, FR, CA, AU and more (D&B is geo-aware)
• ✅ Opt-in contact-email enrichment — the actor can visit each company's own website (taken from its D&B profile) and extract a contact email
• ✅ Automatic pagination + de-duplication by DUNS; exports to JSON, CSV, Excel, XML, integrates with Google Sheets, Make, Zapier, Slack

🎯 Use cases

• B2B lead generation & sales prospecting — build targeted prospect lists by industry keyword and country, prioritised by revenue and headcount
• CRM & data enrichment — append DUNS, industry, address, revenue, employees and website to your accounts
• Market sizing / TAM analysis — pull every company matching a sector keyword with real firmographics instead of guesswork
• Corporate hierarchy mapping — locationType distinguishes Parent vs Branch locations
• Decision-maker identification — key principal and named executives with titles on each profile
• Risk, credit & supplier research — DUNS-anchored firmographics for KYB and vendor onboarding
• Competitive & industry intelligence — industry taxonomy, similar companies, per-year revenue trends, ESG rank where published

📥 Supported inputs

Input	Example	What happens
Search terms (queries)	software, logistics, Take-Two	Searches the D&B business directory like the site's own search box, paginating automatically (~25 companies/page)
Search filters (minEmployees, maxEmployees, companyRole)	101–500, parent	Server-side filters on keyword searches — e.g. only Parent/HQ companies with 101–500 employees
Industry slugs (industryPaths)	software_publishers, legal_services	Browses D&B's industry directory — revenue-sorted, 50 companies/page, scoped by country → region → city
Region / city (region, city)	california, san_francisco	Narrows industry browsing geographically (D&B caps each industry+geo listing at ~1,000 companies — go city-level for deeper coverage)
Country (country)	us, gb, de, fr, ca, au	Scopes searches and browsing to one country; US has the richest coverage
dnb.com URLs (startUrls)	profile, industry-listing, or search URLs	Auto-classified: profile URLs fetch that company directly, company-information.* URLs are browsed, company-search.html?term= URLs run as extra queries

Mix all of them in the same run; rows are de-duplicated by DUNS across every source.

⚠️ Proxy requirement

Dun & Bradstreet blocks datacenter IPs. A residential proxy is required — the default input config already pins Apify RESIDENTIAL with country: US, which is the most reliable setup for full coverage.

🔄 How it works

1. Each search term is sent to D&B's companysearch directory API, scoped to your country and any employee/role filters; each industry slug goes to the companyinformation listing API (revenue-sorted, 50/page), scoped by country/region/city.
2. Result pages are walked automatically and de-duplicated by DUNS across all sources.
3. With deep profiles enabled (default), each company's companyprofile API payload is fetched in parallel — adding revenue, employees, key principal, executives, ticker, industry taxonomy and website.
4. Subscription-gated fields that D&B masks are converted to clean nulls — never placeholder garbage — while structured values that survive the masking (real employee counts, numeric revenue) are recovered.
5. Each merged company row is pushed to the dataset — one row per company.

No login, no captcha solving, no browser rendering.

⚙️ Input parameters

Field	Type	Default	Description
queries	array	["software"]	Company names or keywords to search
country	string	"us"	ISO alpha-2 country code
startUrls	array	[]	Any dnb.com URLs — profile, industry-listing, or search (auto-classified)
industryPaths	array	[]	D&B industry slugs to browse (e.g. software_publishers)
region	string	—	State/region slug for industry browsing (e.g. california)
city	string	—	City slug for industry browsing (e.g. san_francisco)
minEmployees / maxEmployees	integer	—	Employee-count filter on keyword searches
companyRole	string	"any"	parent / branch / subsidiary / domestic-ultimate / global-ultimate
scrapeCompanyProfiles	boolean	true	Deep mode: fetch each company's full profile (one extra request per company)
enrichEmails	boolean	false	Opt-in: extract a contact email from each company's own website
maxItemsPerQuery	integer	200	Cap per search term
maxItems	integer	1000	Global cap across all queries + startUrls
maxConcurrency	integer	10	Parallel profile fetches
proxy	object	Apify RESIDENTIAL, US	Residential proxy required

📊 Output overview

One row per company. List mode (deep profiles off) carries the search-card fields: name, trade styles, DUNS, address/city/state/zip/country, industry, location type, profile URL. Deep mode (default) merges in the full profile: revenue (three representations), employee counts (consolidated + this site, with reliability flags), key principal, executives, website + domain, parent industry + full industry list + taxonomy path, stock exchange/ticker, Fortune-style ranking, company summary, corporate-linkage counts, similar companies, and legal-form flags.

📦 Output sample

{
    "type": "company",
    "source": "dnb",
    "duns": "2d66458a75c9d054a6e33addf02f1573",
    "companyName": "Take-Two Interactive Software, Inc.",
    "tradeStyleNames": "Take-Two",
    "profileUrl": "https://www.dnb.com/business-directory/company-profiles.take-two_interactive_software_inc.2d66458a75c9d054a6e33addf02f1573.html",
    "address": "110 W 44TH St",
    "city": "New York",
    "state": "New York",
    "zipCode": "10036-4011",
    "country": "United States",
    "countryRegion": "New York, NY, United States",
    "industry": "Computer Systems Design and Related Services",
    "parentIndustry": "Professional, Scientific, and Technical Services",
    "industries": [
        "Computer Systems Design and Related Services",
        "Software Publishers",
        "Electronics and Appliance Retailers",
        "Computer software development",
        "Home entertainment computer software"
    ],
    "locationType": "Parent",
    "website": "www.take2games.com",
    "companyDomain": "take2games.com",
    "keyPrincipal": "Strauss Zelnick",
    "formattedRevenue": "$6.66 billion",
    "revenueUsd": 6656400000,
    "employeesConsolidated": { "value": 12909, "reliability": "Actual", "scope": "Consolidated" },
    "employeesThisSite": { "value": 1152, "reliability": "Modelled", "scope": "Individual" },
    "stockTicker": "TTWO",
    "stockExchange": "NASDAQ:TTWO",
    "companySummary": "Take-Two Interactive Software, Inc. is a global developer, publisher, and marketer of interactive entertainment…",
    "executives": [
        { "name": "Strauss Zelnick", "position": "Executive Chairman of the Board and Chief Executive Officer" }
    ],
    "totalContactsOnFile": 671,
    "totalPrincipals": 4,
    "revenueReliability": "Actual",
    "annualRevenues": [
        { "year": "2026", "revenueUsd": 6656400000, "accuracy": "Actual" }
    ],
    "industryPath": [
        { "name": "Professional, Scientific, and Technical Services", "url": "https://www.dnb.com/business-directory/industry-analysis.professional_scientific_and_technical_services.html" }
    ],
    "ranking": { "value": 618, "description": "Fortune 1000 Revenue Rank" },
    "isPrivate": false,
    "scrapedAt": "2026-07-10T22:31:23.313Z"
}

🗂 Key output fields

Group	Fields
Identifiers	type, source, duns (D&B's public encrypted DUNS hash), companyName, tradeStyleNames, profileUrl, scrapedAt
Location	address, city, state, zipCode, country, countryRegion
Classification	industry, parentIndustry, industries[], industryPath[], locationType (Parent / Branch / …)
Financials	formattedRevenue, revenueUsd (absolute USD), revenueReliability (Actual / Modelled), annualRevenues[] (per fiscal year with accuracy)
People	keyPrincipal, executives[] (name + title), totalPrincipals, totalContactsOnFile
Size	employeesConsolidated.{value,reliability,scope}, employeesThisSite.{value,reliability,scope}
Market	stockExchange, stockTicker, ranking (e.g. Fortune 1000 rank), similarCompanies[], esgRank
Web	website, companyDomain
Legal form	isPrivate, isPartnership, isProprietorship
Email enrichment (when enrichEmails: true)	contactEmail, contactWebsite, emailEnrichment (detailed provenance object)

❓ FAQ

Why does the actor need a residential proxy? dnb.com blocks datacenter and cloud IP ranges. A residential proxy (Apify RESIDENTIAL group, country: US recommended) is the reliable path — the default input config already pins this.

Where does the data come from? From D&B's own public directory API — the same companysearch and companyprofile JSON endpoints the dnb.com Business Directory site itself calls. No HTML scraping, no browser, no login.

Why are some fields null? D&B gates certain values behind its paid products (exact phone, incorporation year, some financial line items) and masks them in the public payload. The scraper converts masked values to clean nulls instead of shipping placeholder garbage. Note that several commonly-gated fields — employee counts and numeric revenue — are recovered from structured parts of the payload that survive the masking, which most alternative scrapers miss.

Is duns the raw 9-digit DUNS number? No — D&B does not expose raw DUNS numbers publicly. The duns field is D&B's public encrypted DUNS hash (32 hex chars), which is stable per company and works as a join key and in profile URLs.

How many companies can one keyword return? Broad keywords match large sets (e.g. software in the US matches ~48,000 companies; plumbing ~163,000). Use maxItemsPerQuery / maxItems to cap billing, narrow with the employee/role filters, or use more specific terms.

Where do I find industry slugs for industryPaths? In any dnb.com industry URL: https://www.dnb.com/business-directory/company-information.software_publishers.us.html → the slug is software_publishers. Industry listings are revenue-sorted (biggest companies first) and D&B caps each industry+geo listing at ~1,000 companies — add region and city to reach deeper into a sector.

Do the employee/role filters apply to industry browsing? No — they're companysearch API parameters, so they apply to keyword queries only. Industry listings come pre-sorted by revenue instead.

How does email enrichment work and what does it cost? When enrichEmails: true, the actor takes each company's own website from its D&B profile, visits its contact/about pages, and extracts a contact email. Best-effort: you're only billed per email actually found, never for misses.

Can I scrape logged-in or subscriber data? No. The scraper accesses only the public business directory — no D&B Hoovers content, no credit reports, no authenticated endpoints.

💬 Support

• For issues or feature requests, please use the Issues tab on the actor's Apify Console page.
• Author's website: https://muhamed-didovic.github.io/
• Email: muhamed.didovic@gmail.com

🛠 Additional services

• Custom output shape, additional fields, or one-off datasets: muhamed.didovic@gmail.com
• Need a similar scraper for other business directories (Crunchbase, GoodFirms, Clutch, IndiaMART, etc.)? Drop an email.
• For API access (no Apify fee, just a usage fee for the API): muhamed.didovic@gmail.com

🔎 Explore more scrapers

If this Dun & Bradstreet Scraper was useful, see other scrapers and actors at memo23's Apify profile — covering business directories, job boards, real estate, social media, and more.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Dun & Bradstreet, Inc. or any of its subsidiaries or affiliates. "Dun & Bradstreet", "D&B" and "D-U-N-S" are trademarks of Dun & Bradstreet, Inc. All trademarks mentioned are the property of their respective owners.

The scraper accesses only the publicly available dnb.com Business Directory and its public JSON endpoints — no D&B Hoovers subscriber content, credit reports, authenticated endpoints, or content behind a D&B login. Users are responsible for ensuring their use complies with dnb.com's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organisation.

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