# Dividend Aristocrats Tracker — 25+ Year Raisers API (`nexgendata/dividend-aristocrats-tracker`) Actor

Track dividend-aristocrat stocks from SEC EDGAR — parsed, source-linked JSON for analysts, funds and AI agents.

- **URL**: https://apify.com/nexgendata/dividend-aristocrats-tracker.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 dividend stock records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Dividend Aristocrats Tracker

Track dividend-aristocrat stocks from SEC EDGAR, parsed into clean JSON. Built for analysts, funds, fintech builders and AI agents. Factual public SEC/EDGAR data — not financial or investment advice. Not affiliated with the U.S. SEC.

### 📊 What you get

Clean JSON, one record per record. Key fields (full output has 19 fields):

- `company_name` — Company / filer name
- `source_url` — Direct sec.gov filing link
- `market_cap_usd` — USD value
- `as_of_date` — Detection / fetch timestamp
  Every record carries a direct **sec.gov** source link.

**Pricing:** $0.05 per record (Pay-Per-Event) — about **20 records per $1**.

### 🤖 Use with AI agents

Structured, source-linked SEC data built for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull dividend-aristocrat stocks on demand.

**Sample agent prompt:**

```
List current dividend aristocrats with yield and payout ratio.
```

**Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

### ⏰ Run on a schedule

The recurring frame is the point — schedule a daily or weekly pull:

```json
{
  "limit": 50
}
```

### 🔗 Related SEC actors

**More holdings trackers:** [13F Tracker Pro](https://apify.com/nexgendata/sec-form-13f-tracker-pro), [13F Delta Tracker](https://apify.com/nexgendata/13f-holdings-delta-tracker), [N-PORT Holdings](https://apify.com/nexgendata/sec-form-nport-mutual-fund-holdings), [N-PORT-P Holdings](https://apify.com/nexgendata/sec-form-nport-p-mutual-fund-holdings)

**Agent front doors:** [SEC Corporate Events MCP](https://apify.com/nexgendata/sec-corporate-events-mcp), [Regulatory Filings MCP](https://apify.com/nexgendata/regulatory-filings-mcp)

***

*Data parsed from public SEC EDGAR filings. Factual public SEC/EDGAR data — not financial or investment advice. Not affiliated with the U.S. SEC.*

# Actor input Schema

## `category` (type: `string`):

Which dividend-growth tier to pull. 'King' = 50+ consecutive years of dividend increases (rarest, ~50 names — KO, PG, JNJ, MMM, CINF). 'Aristocrat' = 25+ years AND member of the S\&P 500 (~70 names — the canonical DGI universe). 'Achiever' = 10+ years (~350 names — wider opportunity set including future Aristocrats). 'Contender' = 10-24 years specifically (subset of Achievers approaching Aristocrat status). 'all' merges every tier and de-duplicates by ticker, ranking by consecutive\_years\_of\_increases descending.

## `limit` (type: `integer`):

Hard cap on the number of dividend stock records emitted. Aristocrats and Kings universes are small (~70 and ~50 names respectively) so set 0 to fetch everything. Achievers and Contenders are larger — cap at 50-100 for cost control. Records are sorted by consecutive\_years\_of\_increases (descending) so a low limit gives you the longest-streak names first.

## `min_yield_pct` (type: `number`):

Filter out names yielding below this threshold. Standard DGI screens use 2.0% as the floor (above the S\&P 500 average yield). Income-focused retirees often raise this to 3.0-4.0% (REITs, telecoms, utilities territory). Set 0 to disable the yield floor and capture low-yield-high-growth names like Lowe's (LOW) or Sherwin-Williams (SHW) where the growth rate matters more than current yield.

## `max_payout_ratio_pct` (type: `number`):

Filter out names with payout ratios above this ceiling. Standard sustainability check: 60% for industrials/consumer staples, 80% for utilities and telecoms, 90%+ for REITs (which must distribute 90% of taxable income by law). Set 0 to disable. Stocks with payout ratios above 100% are paying out more than they earn — typically funded by debt and an early warning of a dividend cut.

## `sector` (type: `string`):

GICS sector filter. Consumer Staples and Industrials dominate the Aristocrats list (think PG, KO, CL, EMR, MMM). Utilities and Real Estate skew toward higher yields. Healthcare names (JNJ, ABT, BDX) usually combine moderate yield with strong dividend growth. Set 'all' for the full universe across sectors.

## `min_consecutive_years` (type: `integer`):

Filter by the streak length. 10 = Achievers floor, 25 = Aristocrats floor, 40 = elite long-streak names approaching King status, 50 = Kings floor, 60+ = ultra-rare names like Procter & Gamble (PG, 67yr), Coca-Cola (KO, 62yr), Genuine Parts (GPC, 68yr), Dover (DOV, 68yr). Set 0 to disable the streak floor and rely on the category filter alone.

## `fetch_live_quotes` (type: `boolean`):

When true (default), the actor enriches each record by hitting stockanalysis.com/stocks/{symbol}/ for the current price, market cap, dividend yield, payout ratio, forward P/E, and 5-year dividend growth rate. When false, only the static constituent data (symbol, name, sector, category, consecutive\_years\_of\_increases) is emitted — faster and cheaper, but no live market data. Disable for bulk universe reconciliation or backtest setup.

## Actor input object example

```json
{
  "category": "Aristocrat",
  "limit": 50,
  "min_yield_pct": 0,
  "max_payout_ratio_pct": 0,
  "sector": "all",
  "min_consecutive_years": 0,
  "fetch_live_quotes": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "category": "Aristocrat",
    "limit": 50,
    "min_yield_pct": 0,
    "max_payout_ratio_pct": 0,
    "sector": "all",
    "min_consecutive_years": 0,
    "fetch_live_quotes": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/dividend-aristocrats-tracker").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "category": "Aristocrat",
    "limit": 50,
    "min_yield_pct": 0,
    "max_payout_ratio_pct": 0,
    "sector": "all",
    "min_consecutive_years": 0,
    "fetch_live_quotes": True,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/dividend-aristocrats-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "category": "Aristocrat",
  "limit": 50,
  "min_yield_pct": 0,
  "max_payout_ratio_pct": 0,
  "sector": "all",
  "min_consecutive_years": 0,
  "fetch_live_quotes": true
}' |
apify call nexgendata/dividend-aristocrats-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/dividend-aristocrats-tracker",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/A6uj358hJBtw0Rhug/builds/LeQua356gwtefzCDv/openapi.json