Dividend Aristocrats Tracker — Kings, Achievers, Growth Stocks

Track the elite ranks of dividend-growth investing in one API call. Dividend Kings (50+ consecutive years of dividend increases), S&P 500 Dividend Aristocrats (25+ years AND S&P 500 membership), Dividend Achievers (10+ years), and Dividend Contenders (10-24 year streaks approaching Aristocrat status). Every record carries current price, market cap, dividend yield, payout ratio, annual dividend, forward P/E, 5-year dividend growth rate, the most recent increase percentage and date, the next ex-dividend date — and the headline streak metric: consecutive_years_of_increases.

Built for income-focused investors who care about dividend growth, not just dividend yield. Coca-Cola (KO) has raised its dividend every year since 1962. Procter & Gamble (PG) since 1957. Johnson & Johnson (JNJ) since 1962. American States Water (AWR) since 1955 — 69 years and counting. These aren't speculative bets; they're the bedrock of multi-generational compounders.

Buyer pool

• Dividend-growth investing (DGI) retail — running yield-on-cost ladders, screening for new candidates as old streaks break
• Income-focused retirees — building portfolios that grow income faster than inflation
• Family offices — laddering yield across sectors with risk-adjusted dividend stability
• Dividend-strategy ETF providers — reconciling constituent universes, screening for index inclusion/exclusion (NOBL, SDY, SCHD, VIG, DGRO, RDVY)
• Financial advisors & RIAs — running quarterly client portfolio reviews against the canonical Aristocrats list
• Wealth platforms / fintech apps — embedding "DGI screen" features without paying for Bloomberg or FactSet seats

What's in every record

Field	Description
symbol	NYSE/Nasdaq ticker (KO, PG, JNJ, MMM, …)
company_name	Full legal name
sector	GICS sector classification
category	Aristocrat / King / Achiever / Contender
consecutive_years_of_increases	Streak length — the headline metric
current_price	Latest market price (USD)
market_cap_usd	Market capitalization in USD
dividend_yield_pct	Current trailing yield
annual_dividend_usd	Indicated annual dividend per share
payout_ratio_pct	Dividend / earnings ratio — sustainability check
most_recent_increase_pct	Last announced raise (e.g. 4.2%)
most_recent_increase_date	When that raise was declared
next_ex_dividend_date	Upcoming ex-date — buy-by-this-date for the next payout
forward_pe	Forward price/earnings multiple
5y_dividend_growth_rate_pct	Annualized 5-year dividend CAGR
as_of_date	When this record was scraped
source_url	Direct deep link to the company page

Input filters

• category — Aristocrat / King / Achiever / Contender / all
• limit — cap on records (default 50; Aristocrats universe is ~70, Kings is ~50)
• min_yield_pct — drop names yielding below threshold (e.g. 2.5 for income strategies)
• max_payout_ratio_pct — drop names paying out more than (e.g.) 80% of earnings — sustainability filter
• sector — restrict to one GICS sector (Consumer Staples, Utilities, Industrials, …)
• min_consecutive_years — minimum streak length (10 = Achievers, 25 = Aristocrats, 50 = Kings)
• fetch_live_quotes — set to false for static universe-only mode (cheaper, faster)

Example: hunt for Kings yielding 3%+ with payout ratios under 75%

{
  "category": "King",
  "min_yield_pct": 3.0,
  "max_payout_ratio_pct": 75,
  "limit": 20
}

Returns the elite slice of Kings (50+yr streaks) that simultaneously offer institutional-grade current yield AND room for the dividend to keep growing without being squeezed by earnings.

Example: Industrials Aristocrats with the longest streaks

{
  "category": "Aristocrat",
  "sector": "Industrials",
  "min_consecutive_years": 30,
  "limit": 15
}

Returns Dover (DOV, 68yr), Emerson Electric (EMR, 67yr), Parker Hannifin (PH, 67yr), 3M (MMM, 66yr), Illinois Tool Works (ITW, 60yr), Nordson (NDSN, 61yr), W.W. Grainger (GWW, 53yr), Stanley Black & Decker (SWK, 56yr), Caterpillar (CAT, 31yr), and so on.

How it works

1. Resolve the constituent universe for the requested category (curated from S&P methodology, Wikipedia, Sure Dividend).
2. Apply pre-filters (sector, min_consecutive_years) BEFORE any live HTTP traffic — saves cost.
3. Sort by consecutive_years_of_increases descending — longest-streak names first.
4. For each surviving ticker, fetch the stock overview page + dividend history page concurrently from stockanalysis.com.
5. Extract current price, market cap, yield, payout ratio, annual dividend, forward P/E, 5y dividend CAGR, next ex-dividend date.
6. Compute the most recent increase percentage by comparing the two latest declared dividend amounts.
7. Apply post-enrichment filters (min_yield_pct, max_payout_ratio_pct).
8. Push the record to the default dataset and bill the PPE event.

Pricing

Pay-per-result — $0.01 actor start + $0.05 per dividend stock record. A full Aristocrats sweep (~70 names) costs ~$3.51. A targeted 20-name DGI screen costs ~$1.01. No subscription, no monthly minimums, no Bloomberg terminal.

How this compares

	This actor	Bloomberg Terminal	FactSet	Simply Safe Dividends	Sure Dividend Premium	Seeking Alpha Premium
Cost	~$3 per Aristocrat sweep	$32,000/year/seat	$20,000+/year	$499/year	$99/year newsletter	$239/year
API access	Yes (Apify, JSON)	Yes (terminal + B-PIPE)	Yes	No	No	No
Streak data	Yes	Yes	Yes	Yes (proprietary scoring)	Yes (lists)	Limited
Real-time price	Yes	Yes	Yes	Delayed	No	Yes
Payout ratio + 5y growth	Yes	Yes	Yes	Yes	Yes	Limited
Most recent increase %	Yes	Yes (via DVD function)	Yes	Yes	No	No
Customizable filters	Yes (yield/payout/sector/streak)	Yes (heavy syntax)	Yes (heavy syntax)	Pre-built screens	Static PDF	Pre-built screens
Setup time	60 seconds	Days (auth + training)	Days	Account creation	Email signup	Account creation
Buyer fit	DGI retail, RIAs, family offices, fintech, ETF research	Sell-side, institutional	Buy-side	DGI retail	DGI retail	DGI retail

You're not replacing Bloomberg if you need cross-asset analytics, news, chat, and execution. You're replacing the one workflow where Bloomberg charges $32K/year — pulling the canonical DGI universe with current market data — for ~$3 per run.

Data sources

• S&P Global Aristocrats methodology — the authoritative inclusion criteria
• Wikipedia — "S&P 500 Dividend Aristocrats" + "List of Dividend Kings" canonical lists
• Sure Dividend — Kings & Achievers/Contenders streak data
• stockanalysis.com — per-stock current price, market cap, dividend yield, payout ratio, forward P/E, 5y dividend growth rate, ex-dividend date, dividend history

Quality notes

• Streak data accuracy — the constituent file in this actor is updated against Sure Dividend's bi-monthly streak reports. If a name cuts its dividend (the 2020 Wells Fargo / 2024 Walgreens situation), it's removed from the file in the next maintenance cycle.
• Spin-off handling — when a parent (Abbott) spins off a subsidiary (AbbVie), each company resets its streak per S&P methodology. We follow S&P's treatment.
• Special dividends — explicitly excluded. Only regular cash dividend increases count toward the streak.
• Stock splits — split-adjusted in dividend growth calculations.

Cross-link to the NexGenData finance fleet

If you're using this actor you probably want the rest of the NexGenData income-investing stack:

• Finviz Stock Screener — apply 70+ Finviz filters (yield, payout, beta, P/E, sector) to the broader US universe
• ETF Holdings Tracker — pull constituent holdings & weights for NOBL, SDY, SCHD, VIG, DGRO and 100+ other ETFs
• Earnings Calendar — get earnings dates for every Aristocrat in your portfolio
• Analyst Price Targets — Wall Street consensus on each Aristocrat
• Treasury Yields & Bonds — compare dividend yields vs the risk-free curve to size your equity income allocation
• Finance MCP Server — wrap this and the rest of the fleet under MCP for Claude/ChatGPT-driven income-portfolio research

Affiliate

Get started with Apify and the NexGenData fleet: https://apify.com/nexgendata?fpr=2ayu9b

Use that link to spin up your first DGI screen in 60 seconds, then layer in ETF holdings, earnings dates, analyst targets, and treasury yields to build a complete income-portfolio research workflow.