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Dun & Bradstreet Company Scraper

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from $11.99 / 1,000 result items

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Dun & Bradstreet Company Scraper

Dun & Bradstreet Company Scraper

Scrapes Dun & Bradstreet company profiles from search queries or direct URLs. Returns each company as a flat row with industry, employee count, revenue, website, and location. Supports country, role, and employee filters, plus optional detail enrichment.

Pricing

from $11.99 / 1,000 result items

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Developer

ParseForge

ParseForge

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0

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42

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3

Monthly active users

4 days ago

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Dun & Bradstreet Company Scraper

Scrape Dun & Bradstreet company profiles from any search query or direct URL, up to a million per run. Each company comes with its industry, employee count, revenue, website, and location. No login or API key. Export to CSV, JSON, Excel, or XML.

Dun & Bradstreet's official API requires a paid subscription and strict usage limits. This reads the public company directory directly, filtered by country, company role, and employee range, and returns each match in one fixed schema. Search by company name or keyword, or paste D&B profile URLs for direct lookup.

Who uses itWhat they scrape Dun & Bradstreet for
Sales teamsBuild targeted prospect lists with verified company data
Market researchersAnalyze industry landscapes and company hierarchies
RecruitersIdentify companies by size and location for talent sourcing
InvestorsScreen companies by revenue and employee count for due diligence

What it does

This Actor collects Dun & Bradstreet company profiles by search query or direct URL, and returns each one as a flat row.

  • ๐Ÿ” Search query: enter a company name or keyword like "Apple" or "pharma" to get matching profiles.
  • ๐Ÿ”— Direct URLs: paste D&B company profile URLs or search result URLs for precise scraping.
  • ๐ŸŒ Country filter: restrict results to a specific country using ISO Alpha-2 codes like US, DE, or GB.
  • ๐Ÿข Company role filter: choose parent, branch, or subsidiary to focus on corporate hierarchy.
  • ๐Ÿ‘ฅ Employee range: set minimum and maximum employee counts to target companies of a certain size.
  • ๐Ÿ“Š Detail enrichment: optionally fetch revenue, website, year founded, industries, and competitors for each company.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Dun & Bradstreet data

๐ŸŽฏ Build a B2B prospect list.

A sales team searches for "software" with minEmployees 50 and country US, then exports the results to CSV for their CRM.

๐Ÿ“ˆ Analyze an industry landscape.

A market researcher scrapes all companies matching "pharma" in Germany, including details like revenue and competitors, to map the market.

๐Ÿข Map corporate hierarchies.

An investor uses the companyRole filter to list all subsidiaries of a parent company from direct URLs, then reviews each profile.

๐Ÿ‘ฅ Source talent by company size.

A recruiter filters for companies with 100 to 500 employees in Canada, then scrapes their profiles to identify hiring targets.

Why choose this scraper

What you get
No API key neededScrape public D&B pages without registration or rate limits
Flexible inputSearch by keyword or paste specific company URLs
Rich filtersNarrow by country, role, and employee count before scraping
Scalable outputCollect up to a million companies per run in CSV, JSON, Excel, or XML

How it compares

No other Store actor targets Dun & Bradstreet the same way, so the honest comparison is with the alternatives teams actually weigh.

Dun & Bradstreet Company ScraperBuild it in-houseBy hand
SetupRun it now, zero configDays of engineeringNone, but hours per pull
When Dun & Bradstreet changesMaintained for youYou fix itYou re-learn the page
Proxies, retries, anti-botBuilt inYour problemBrowser only
OutputFixed JSON schema, CSV/Excel exportWhatever you buildCopy-paste
CostPay per resultEngineering timeAnalyst hours

Configure the run

Drive the Actor from a search query or direct D&B URLs, and filters run as each profile is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
"searchQuery": "Apple",
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}

A larger pull:

{
"searchQuery": "Apple",
"maxItems": 200,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}

Pricing

Pay-per-result: $0.01599 per result collected. You pay only for the results written to your dataset.

Results collectedApproximate cost
100 results$1.60
1,000 results$15.99
10,000 results$159.90

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

  1. Create a free Apify account with $5 in credit.
  2. Open the Dun & Bradstreet Company Scraper.
  3. Set your inputs and any filters, then click Start.
  4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Dun & Bradstreet through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/dnb-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check your search query or start URLs. Ensure the country code is valid and the employee range is not too narrow. Try a broader query like a single keyword.

The run is slow or times out.

Reduce maxItems or disable Include Detail Data, which fetches an extra page per company. Also ensure your proxy configuration is set to residential.

I get blocked or see CAPTCHAs.

Use Apify residential proxies and increase the proxy country coverage. If the issue persists, lower the concurrency or add delays between requests.

Some fields are empty in the output.

Not all D&B profiles have every field populated. Enable Include Detail Data to fetch more complete information, but note that some data may still be missing.

FAQ

QuestionAnswer
Do I need a Dun & Bradstreet API key?No. This Actor scrapes the public D&B website directly, so no registration or API key is required.
Can I scrape a specific company by URL?Yes. Paste one or more D&B company profile URLs into the Start URLs field, and the Actor will extract data from each.
What data fields are returned?Each company row includes name, address, phone, website, industry, employee count, revenue, and more. Enable Include Detail Data for competitors and year founded.
How many companies can I scrape in one run?You can set maxItems up to 1,000,000. The Actor will stop after collecting that many profiles.
Can I filter by country?Yes, use the Country Code field with an ISO Alpha-2 code like US, DE, or GB to restrict results.
What is the difference between search query and start URLs?Search Query performs a keyword search on D&B. Start URLs let you scrape specific search result pages or company profiles directly, overriding the query.
Does the Actor handle pagination?Yes, it automatically follows pagination on search results until maxItems is reached or no more results exist.
Can I export the data?Yes, you can download the results as CSV, JSON, Excel, or XML from the Apify dataset.
Is residential proxy required?The Actor uses Apify residential proxies by default to avoid blocking. You can adjust proxy settings in the input.
What is the cost of running this Actor?You pay only for the compute resources used, based on Apify's pricing. There is no subscription fee for the Actor itself.

Browse the full ParseForge collection for more scrapers.

๐Ÿ†˜ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

โš ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Dun & Bradstreet, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.