D&B + Wikipedia + Wikidata Company Scraper

Extract rich company intelligence on any business — combining the Dun & Bradstreet profile URL with Wikipedia descriptions and Wikidata structured facts (CEO, founders, revenue, employees, industries, HQ, stock info, and more).

Features

• 29 output fields per company — the most complete free company data available
• D&B profile URL + name + location (via Google SERP)
• Wikipedia summary — canonical description, full paragraph, thumbnail
• Wikidata structured facts — machine-readable properties from the world's largest open knowledge base:
  • Founded year, official legal name, website
  • Current CEO (filtered via Wikidata rank + end-time)
  • Founders, headquarters, industries
  • Latest employee count with reporting year
  • Latest revenue with currency and year
  • Stock ticker + exchanges
  • ISIN, company type, country, logo
• 100% reliable — free data sources, no Cloudflare/geo blocks
• No nulls — every field has a typed default

How It Works

D&B's own pages are geo-restricted and heavily Cloudflare-protected, so direct scraping is unreliable. This scraper fixes that by combining three complementary sources:

1. Google SERP — finds the D&B profile URL + headquarters location
2. Wikipedia REST API — fetches the canonical summary, description, and thumbnail
3. Wikidata API — pulls 20+ structured facts about the company, including current CEO, latest revenue, employees, founders, stock info, and more

All three sources are free, reliable, and not blocked — delivering richer data than D&B itself shows publicly.

Input

Field	Type	Description
companyNames	Array	Company names to look up
maxItems	Integer	Max profiles to scrape (default 20)

Example Input

{
    "companyNames": ["Apple Inc", "Tesla Inc", "Microsoft Corporation"],
    "maxItems": 10
}

Output

Each company is saved as a dataset item with 29 fields:

Identity & Sources

Field	Type	Description
name	String	Company name
query	String	Original query
dnbUrl	String	Dun & Bradstreet profile URL
dnbLocation	String	HQ location from D&B
wikipediaUrl	String	Wikipedia article URL
wikipediaTitle	String	Wikipedia article title
wikidataId	String	Wikidata Q-ID

Descriptions

Field	Type	Description
description	String	Short description
summary	String	Full Wikipedia summary paragraph
thumbnail	String	Logo/thumbnail image URL
logo	String	Company logo from Wikidata

Key Facts

Field	Type	Description
officialName	String	Official legal name
founded	String	Year founded
website	String	Canonical website URL
country	String	Company country
headquarters	Array	HQ locations
industries	Array	Industries the company operates in
companyType	String	Type (public company, corporation, etc.)

People

Field	Type	Description
ceo	String	Current CEO (filtered by end-time/rank)
founders	Array	Company founders

Financials

Field	Type	Description
employees	Integer	Latest employee count
employeesYear	String	Year of employee count
revenue	String	Latest revenue
revenueCurrency	String	Revenue currency
revenueYear	String	Year of revenue

Market Info

Field	Type	Description
stockTicker	String	Stock ticker symbol (e.g., AAPL)
stockExchanges	Array	Exchanges the company is listed on
isin	String	ISIN number

| scrapedAt | String | ISO 8601 scrape timestamp |

Example Output

{
    "name": "Apple Inc.",
    "query": "Apple Inc",
    "dnbUrl": "https://www.dnb.com/business-directory/company-profiles.apple_inc.ec7f550b3a97b94d919d837672573959.html",
    "dnbLocation": "Cupertino, California",
    "wikipediaUrl": "https://en.wikipedia.org/wiki/Apple_Inc.",
    "wikipediaTitle": "Apple Inc.",
    "wikidataId": "Q312",
    "description": "American multinational technology company",
    "summary": "Apple Inc. is an American multinational technology company headquartered in Cupertino, California...",
    "officialName": "Apple Inc.",
    "founded": "1976",
    "website": "https://apple.com",
    "industries": ["software industry", "consumer electronics industry", "digital distribution"],
    "ceo": "Tim Cook",
    "headquarters": ["Apple Park", "Cupertino"],
    "employees": 164000,
    "employeesYear": "2022",
    "revenue": "416161000000",
    "revenueCurrency": "United States dollar",
    "revenueYear": "2025",
    "founders": ["Steve Wozniak", "Ronald Wayne", "Steve Jobs"],
    "stockTicker": "AAPL",
    "stockExchanges": ["Nasdaq", "Tokyo Stock Exchange"],
    "isin": "US0378331005",
    "companyType": "enterprise, business, public company, corporation, technology company",
    "country": "United States",
    "scrapedAt": "2026-04-10T12:00:00+00:00"
}

FAQ

Q: Why is the data from Wikipedia/Wikidata instead of D&B directly? D&B's business directory is heavily Cloudflare-protected and geo-restricted. Meanwhile, Wikipedia/Wikidata contain the same (and often richer) company data — curated, structured, and freely accessible. This scraper combines both to give you the D&B profile URL alongside rich structured data.

Q: How fresh is the data? Wikidata is updated continuously — revenue, employee counts, and CEO changes typically reflect within days of announcements. Each value includes its reporting year so you can judge freshness.

Q: How does the "current CEO" filter work? Wikidata stores all past CEOs with start and end dates. This scraper selects the entry with rank=preferred (explicitly marked current), or falls back to the entry with no end time qualifier.

Q: Does this work for private/small companies? Large public companies have comprehensive Wikidata entries. Smaller companies may only have the D&B URL + location, with empty Wikipedia/Wikidata fields.

Use Cases

• Lead generation & sales intelligence — qualify leads with revenue, employees, and CEO data
• Competitive intelligence — track CEO changes, financial performance
• Due diligence — verify company age, HQ, stock listing
• M&A research — identify subsidiaries, parent companies, founders
• Investment research — stock tickers, ISIN, exchanges, market info