Fortune Rankings Scraper

Scrape Fortune magazine ranking lists — Fortune 500, Global 500, Most Powerful Women, 100 Fastest-Growing Companies, World's Most Admired Companies, Future 50, Change the World, and more — with full financial metadata including revenues, profits, assets, market value, sector, location, and employees.

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What it does

• Fetches Fortune ranking list data from the official Fortune Next.js static JSON API
• Supports 9 pre-configured lists plus a custom slug mode for any Fortune ranking URL
• Returns flat, omit-empty records with rank, profile URL, and all available financial/demographic metadata
• No browser required — pure HTTP, Tier 1

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Input

Field	Type	Description
mode	Select	Which Fortune list to scrape (default: fortune500)
listYear	Integer	Year of the list (1996–2026, optional — defaults to latest)
listSlug	String	Fortune ranking URL slug for bySlug mode (e.g. fortune500)
sector	String	Filter: keep only records where sector/industry contains this text
country	String	Filter: keep only records from this country (exact match, e.g. U.S.)
maxItems	Integer	Max records to emit (1–5000, default: 100)

Available Modes

Mode	List
fortune500	Fortune 500 — America's Largest Companies (500 records)
global500	Fortune Global 500 — World's Largest Companies
mostPowerfulWomen	Fortune Most Powerful Women
fastestGrowing	Fortune 100 Fastest-Growing Companies
futureOfWork	Fortune Future of Work / Best Workplaces
mostAdmired	World's Most Admired Companies
changeTheWorld	Fortune Change the World
mostInnovative	America's Most Innovative Companies
future50	Fortune Future 50
bySlug	Any Fortune ranking list by URL slug

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Output

Company records (fortune500, global500, mostAdmired, fastestGrowing, future50, etc.)

Field	Description
rank	List rank
name	Company name
profileUrl	Fortune company profile URL
revenues	Revenue (numeric)
revenuesUnit	B (billions) or M (millions)
profits	Net profit (numeric)
profitsUnit	B (billions) or M (millions)
assets	Total assets (numeric)
assetsUnit	B (billions) or M (millions)
marketValue	Market capitalization (numeric)
marketValueUnit	B (billions) or M (millions)
revenueGrowthPct	Revenue growth %
profitsGrowthPct	Profit growth %
epsGrowthPct	EPS 3-year annual growth rate %
totalReturn3yr	Total return 3-year annual rate %
overallScore	Overall score (Future 50 / Most Innovative)
industryRank	Rank within industry (Most Admired Companies)
allStarRank	Current cross-industry "All-Star" rank (Most Admired Companies)
strongestDimension	Company's strongest scored dimension (Most Innovative Companies)
sector	Industry sector
industry	Industry sub-category
city	Headquarters city
state	Headquarters state
country	Country of headquarters
employees	Employee count
profitable	true if profitable
founderIsCeo	true if founder is CEO
femaleCeo	true if CEO is female
growthInJobs	true if jobs grew
newcomer	true if newcomer to the list
inGlobal500	true if also on Global 500
inFortune500	true if also on Fortune 500
inFortune1000	true if also on Fortune 1000
inMostAdmired	true if also in Most Admired
inBestCompanies	true if also on Best Companies to Work For
inFastestGrowing	true if also on 100 Fastest-Growing Companies
inChangeTheWorld	true if also on Change the World
inFuture50	true if also on the Future 50
beatSP500_3yr	true if the company beat the S&P 500's 3-year return (Fastest-Growing Companies)
changeInRank	Change in rank from previous year
fortune500Rank	Fortune 500 rank (for cross-list records)
impactSegment	Impact category (Change the World list)
listName	Fortune list identifier
listYear	Year of the list
sourceUrl	Fortune list URL
scrapedAt	ISO timestamp
recordType	company

Person records (mostPowerfulWomen)

Field	Description
rank	List rank
name	Full name
profileUrl	Fortune profile URL
affiliation	Company / organization
country	Country
listName	Fortune list identifier
listYear	Year of the list
sourceUrl	Fortune list URL
scrapedAt	ISO timestamp
recordType	person

---

Example: Top 20 Fortune 500 Companies

{
  "mode": "fortune500",
  "listYear": 2025,
  "maxItems": 20
}

Sample output:

{
  "rank": 1,
  "name": "Walmart",
  "profileUrl": "https://fortune.com/company/walmart/",
  "revenues": 680.985,
  "revenuesUnit": "B",
  "profits": 19.436,
  "profitsUnit": "B",
  "assets": 260.823,
  "assetsUnit": "B",
  "marketValue": 703.799,
  "marketValueUnit": "B",
  "revenueGrowthPct": 5.1,
  "profitsGrowthPct": 25.3,
  "sector": "Retailing",
  "industry": "General Merchandisers",
  "city": "Bentonville",
  "state": "Arkansas",
  "employees": 2100000,
  "profitable": true,
  "inGlobal500": true,
  "inMostAdmired": true,
  "inBestCompanies": true,
  "inChangeTheWorld": true,
  "listName": "fortune500",
  "listYear": 2025,
  "sourceUrl": "https://fortune.com/ranking/fortune500/2025/",
  "scrapedAt": "2026-06-30T10:30:00+00:00",
  "recordType": "company"
}

---

Example: Most Powerful Women 2026

{
  "mode": "mostPowerfulWomen",
  "listYear": 2026,
  "maxItems": 50
}

Sample output:

{
  "rank": 1,
  "name": "Jane Fraser",
  "profileUrl": "https://fortune.com/ranking/most-powerful-women/2026/jane-fraser/",
  "affiliation": "Citigroup",
  "country": "U.S.",
  "listName": "mostPowerfulWomen",
  "listYear": 2026,
  "sourceUrl": "https://fortune.com/ranking/most-powerful-women/",
  "scrapedAt": "2026-01-15T10:30:00+00:00",
  "recordType": "person"
}

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FAQs

Q: Does it require an API key or login? A: No. Fortune ranking data is publicly accessible via their static JSON API.

Q: How many records can I get? A: Fortune 500 returns up to 500 companies. Global 500 has 500. Most Powerful Women has 100. Set maxItems up to 5000.

Q: Can I filter by sector or country? A: Yes — use sector (substring match, e.g. "Technology") and country (exact match, e.g. "U.S.").

Q: What years are supported? A: Fortune 500 has data back to 1996. Other lists vary. If a specific year has no data, the latest available year is used.

Q: Can I scrape any Fortune ranking list? A: Yes — use mode=bySlug and set listSlug to the Fortune URL slug, i.e. the part of the ranking's URL after fortune.com/ranking/ (e.g. ai-innovators, cyber, lgbtq-leaders, most-powerful-rising-executives).

Q: Why are revenues in billions sometimes and millions other times? A: Values ≥ $1 billion show Unit=B with a billions value. Smaller values show Unit=M with a millions value. This makes both large and small companies easy to work with.

Q: Are negative profits included? A: Yes — loss-making companies show negative profits values.