Seeking Alpha News & Dividend Data

Seeking Alpha news, dividend data and parsed earnings signals as a clean, deduplicated JSON API. Per-ticker fetch with 37+ years of dividend history, delta feed of only-new items, and structured EPS/revenue parsing from headlines. Pay-per-use, $5 / 1,000 results. A pay-per-use alternative to Tiingo, EODHD, Alpha Vantage and RapidAPI Seeking Alpha for the SA-specific slice.

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For educational and research purposes. Users are responsible for complying with Seeking Alpha's Terms of Service and applicable laws. Scraped data is intended for analysis, not commercial redistribution. The actor scrapes only the public Seeking Alpha surface — no login, no paywall bypass, no Premium data.

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What you get

This actor turns Seeking Alpha's per-ticker pages into a stable, typed JSON feed. Three things drive its value:

1. Per-ticker enriched news — 40 most-recent articles per ticker, with structured signal classification (bullish / bearish / neutral), single-label category (earnings, m_and_a, regulatory, analysis, news), and parsed EPS/revenue beats from headlines.
2. Dividend scorecard — yield (forward), annual payout, payout ratio, 5-year CAGR, consecutive years of growth, ex-dividend date, payout date, declare date, frequency. Optional history with every past payout back to the 1980s (AAPL: 1989 → 2026, ~80 payouts).
3. Delta feed — onlyNewSinceLastRun: true returns only items whose content_hash wasn't seen in your prior runs. Turns daily monitoring of 50 tickers from ~$10/day into ~$0.50/day. No other Apify Seeking Alpha actor offers this.

Table of contents

• Quick start
• Features
• Use cases
• Output JSON examples
• Input parameters
• Pricing
• How it compares
• What it does NOT do — honest scope
• FAQ
• Disclaimer & legal scope

Quick start

Minimal input — single ticker, news only:

{
  "tickerSymbols": ["AAPL"]
}

That returns 40 enriched news items for AAPL (~$0.20 No-discount, ~$0.12 Gold tier).

Full input with all options shown:

{
  "tickerSymbols": ["AAPL", "MSFT", "KO"],
  "dataType": "both",
  "maxItems": 200,
  "analysisType": "all",
  "signalFilter": "any",
  "includeRawHeadline": true,
  "includeHistory": true,
  "onlyNewSinceLastRun": false
}

That fetches 40 news per ticker × 3 = 120 news items + 3 dividend scorecards with full history, returns up to 200 items capped (~$1.00 No-discount, ~$0.60 Gold).

Calling from your code

# Using Apify CLI
apify call your-username/seeking-alpha-news-dividend-data \
  --input '{"tickerSymbols":["AAPL","NVDA"], "dataType":"both"}'

# Using curl + Apify REST API
curl -s "https://api.apify.com/v2/acts/<actor-id>/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"tickerSymbols":["AAPL"], "dataType":"news", "onlyNewSinceLastRun":true}'

# Python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("your-username/seeking-alpha-news-dividend-data").call(
    run_input={"tickerSymbols": ["AAPL"], "dataType": "both"}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["headline"] if "headline" in item else item["ticker"])

Features

• 📰 40 most-recent news articles per ticker with title, URL, slug, author, date (ISO + raw), comments count, single-label category, derived bullish/bearish/neutral signal
• 💰 Full dividend scorecard — yield (FWD), annual payout, payout ratio, 5-year growth CAGR, consecutive years of growth, ex-dividend / payout / record / declare dates, frequency
• 📜 Dividend history (opt-in) — every past payout newest-first. For AAPL: 80+ entries back to 1989, with split adjustments (adj_amount reflects 7-for-1 in 2014 and 4-for-1 in 2020)
• 🔁 Delta feed — onlyNewSinceLastRun: true returns only items not seen in prior runs. Built on stable per-ticker content_hash (sha256 over {article_id, title, date_iso} for news; over {ticker, ex_dividend_date, latest_dividend_usd, frequency} for dividends)
• 🎯 Category + signal filters — analysisType: "earnings" for earnings-only headlines; signalFilter: "bullish" for high-conviction bullish news
• 💵 Pay-per-use — $5 / 1,000 results No-discount, $3 / 1,000 Gold tier. No subscription, no minimum spend
• 🧱 Stable typed JSON schema — every key always present (null when absent). Drop into your Snowflake/BigQuery/Postgres pipeline without column-add migrations
• 📡 Apify Console + REST + Python/JS SDKs — usable from automations (n8n, Make), notebooks (Jupyter, Colab), agent frameworks (Apify MCP)

Use cases

Persona	Use case	Example input
Quant / algo trader	Tag SA news mentions per ticker for sentiment overlay on portfolio	{"tickerSymbols":["AAPL","MSFT","NVDA","GOOG","META"], "dataType":"news", "signalFilter":"any"}
Dividend investor	Daily check on dividend aristocrats — yield, ex-div dates, payout frequency	{"tickerSymbols":["KO","JNJ","PG","O","T"], "dataType":"dividends", "includeHistory":false}
Fundamental researcher	Earnings beat/miss tracker for watch-list — parsed EPS/revenue surprise from headlines	{"tickerSymbols":["AAPL","MSFT","GOOG"], "dataType":"news", "analysisType":"earnings"}
AI agent / LLM workflow	Wire SA news into n8n/Make/Apify MCP for daily ticker-mentions briefing	{"tickerSymbols":["AAPL"], "dataType":"news", "onlyNewSinceLastRun":true} (cron daily)
Backtesting researcher	Build a historical news-event panel — fetch incremental new articles per ticker daily	Same as above, scheduled hourly/daily via Apify Schedules
Fintech analyst	Decision-stage compare vs Alpha Vantage / Tiingo / EODHD subscription	One-off run on test tickers; compare structure + freshness + cost-per-call
Dividend research analyst	Build "dividend growth track record" panels using history field	{"tickerSymbols":["AAPL"], "dataType":"dividends", "includeHistory":true} (1 run, $0.015)

Output JSON examples

News record (one row per article)

{
  "article_id": 4597508,
  "headline": "Apple ups trade-in values for array of devices ahead of WWDC",
  "url": "https://seekingalpha.com/news/4597508-apple-ups-trade-in-values-for-array-of-devices-ahead-of-wwdc",
  "slug": "apple-ups-trade-in-values-for-array-of-devices-ahead-of-wwdc",
  "author": "SA News",
  "date_iso": "2026-05-28T12:41:00+00:00",
  "date_raw": "Today, 12:41 PM",
  "comments_count": 0,
  "company": "Apple",
  "tickers": ["AAPL"],
  "category": "news",
  "earnings": null,
  "signal": "neutral",
  "signal_confidence": 0.5,
  "source": "seekingalpha.com",
  "scraped_at": "2026-05-28T07:09:23Z",
  "content_hash": "f9cda599...",
  "data_completeness": "headline_metadata",
  "paywalled_fields": ["full_body", "quant_rating"],
  "is_new_since_last_run": true
}

The earnings object — when populated, e.g. on a beat headline:

"earnings": {
  "eps_actual": 1.32,
  "eps_surprise": 0.04,
  "eps_beat": true,
  "revenue_actual_usd": 95400000000,
  "revenue_surprise_usd": 1200000000,
  "revenue_beat": true,
  "is_gaap": null
}

Dividend record (one row per ticker)

{
  "ticker": "AAPL",
  "source_url": "https://seekingalpha.com/symbol/AAPL/dividends",
  "yield_fwd": 0.0035,
  "annual_payout_usd": 1.08,
  "payout_ratio": 0.1258,
  "growth_5y_cagr": 0.0469,
  "years_of_growth": 13,
  "latest_dividend_usd": 0.27,
  "ex_dividend_date": "2026-05-11",
  "payout_date": "2026-05-14",
  "record_date": "2026-05-11",
  "declare_date": "2026-04-30",
  "frequency": "quarterly",
  "history": [
    {
      "amount": 0.27,
      "adj_amount": 0.27,
      "dividend_type": "regular",
      "frequency": "quarterly",
      "ex_dividend_date": "2026-05-11",
      "record_date": "2026-05-11",
      "payout_date": "2026-05-14",
      "declare_date": "2026-04-30"
    },
    "... 80+ more entries newest-first, all the way back to 1989-08-21"
  ],
  "scraped_at": "2026-05-28T07:09:33Z",
  "content_hash": "ececd405...",
  "data_completeness": "scorecard_with_history",
  "is_new_since_last_run": true,
  "source": "seekingalpha.com"
}

Input parameters

Parameter	Type	Default	Description
tickerSymbols	array	[]	List of ticker symbols. Each triggers one fetch of seekingalpha.com/symbol/<T>/news (~40 recent articles). Required if non-empty input.
dataType	enum	"news"	"news" = enriched news headlines. "dividends" = scorecard per ticker. "both" = both, merged.
maxItems	integer	100	Ceiling on total records across all tickers. SA's public news page caps at 40 per ticker — so this cap is for multi-ticker batches (5 tickers × 40 = 200), not a way to get more for one ticker.
analysisType	enum	"all"	Category filter. "all" keeps everything. "earnings" = parsed-EPS headlines only. "news" = news + regulatory + M&A. "analysis" = best-effort.
signalFilter	enum	"any"	Keep only items whose derived signal matches. "bullish" / "bearish" / "neutral" / "any".
includeRawHeadline	boolean	true	Include the unmodified scraped headline + source URL. Set false for header-light outputs (slug + IDs still present).
onlyNewSinceLastRun	boolean	false	Delta feed. Skip items whose content_hash was already emitted in a prior run of this actor. Turns the actor into an incremental change feed instead of a re-scrape. Critical for daily/hourly cron jobs.
includeHistory	boolean	false	Applies when dataType is dividends or both. Adds the full past-payouts list per ticker (+1 fetch per ticker, so per-ticker cost doubles).

Pricing

Pay-per-event. One emitted item = one charge.

Tier	Per item	Per 1,000 items
No discount (Free Apify)	$0.005	$5.00
Bronze	$0.0045	$4.50
Silver	$0.004	$4.00
Gold	$0.003	$3.00

Per-call cost estimates (No discount tier):

Input	Items returned	Cost
1 ticker, news only	up to 40	$0.20
1 ticker, dividends only	1	$0.005
1 ticker, dividends + history	1	$0.005
1 ticker, both, no history	41	$0.205
5 tickers, news only	up to 200	$1.00
1 ticker, news, delta feed (post first run)	typically 0-5	$0-0.025

Daily monitoring savings via delta feed (50 tickers, onlyNewSinceLastRun: true):

• Without delta: 50 tickers × 40 articles × $0.005 = $10.00/day (re-scraping the same articles)
• With delta: 50 tickers × 2 new articles × $0.005 = **$0.50/day** (only what's new)
• 20× cost reduction via delta feed alone.

Failed runs are never billed — the charge fires only after pushData succeeds.

How it compares

	This actor	RapidAPI Seeking Alpha (apidojo)	Alpha Vantage	Tiingo / EODHD / Finnhub	fortuitous_pirate (Apify)
Pricing model	Pay-per-event PPE	Subscription tiers	Freemium tiers	Subscription $25-100+/mo	Pay-per-event PPE
Headline cost	$5 / 1,000	varies	varies	$25+/mo flat	$20 / 1,000
SA-specific news per ticker	✅	✅	❌	❌	✅
Dividends (yield, ex-div, history)	✅ 37-year history	❌	partial	✅	❌
Structured earnings parse from headlines	✅	❌	partial	partial	❌
Delta feed (only NEW items)	✅ only Apify SA actor with this	❌	❌	❌	❌
No subscription	✅	❌	partial	❌	✅
Full article body	❌ (paywalled)	❌	n/a	n/a	summary only
Quant Rating (SA Premium)	❌ Premium-locked everywhere	❌	❌	❌	❌
Stable typed JSON schema	✅	partial	✅	✅	❌

Bottom line: 4× cheaper than the only comparable Apify actor, only one with dividends + delta feed, alternative to subscription data vendors for the slice of SA you actually need.

What it does NOT do — honest scope

This actor scrapes only the public Seeking Alpha surface. It does NOT:

• Bypass SA Premium or scrape Quant Rating / Factor Grades — Premium-locked, intentionally out of scope (ToS + IP redistribution liability)
• Scrape full article bodies — paywalled or unreached. You get headline + structured metadata, not long-form text
• Support keyword search across SA — SA's internal /search API is captcha-blocked from external requests
• Provide real-time push — on-demand scrape. Schedule via Apify Schedules for periodic refresh
• Replace an SA Premium subscription — different product. If you need Quant Ratings or full analyst articles, subscribe to SA directly
• Crawl analyst price targets from article bodies — we don't extract bodies
• Provide intraday minute-by-minute data — SA's news page is the source; freshness is on-scrape

FAQ

Q: Does Seeking Alpha have a free API? A: SA does not publicly expose a free API. This actor and the RapidAPI apidojo provider are the two main third-party options. This actor is the cheaper PPE alternative.

Q: Can I get Quant Ratings or Factor Grades? A: No — those are SA Premium-locked and intentionally out of scope. Bypassing the paywall via account login would breach SA's ToS and redistribute Premium IP. We derive our own bullish/bearish/neutral signal from public-data heuristics instead — labeled clearly as our derived signal, not SA's Quant Rating.

Q: How fresh is the data? A: On-demand scrape. Each run fetches the most-recent 40 articles per ticker as of run time. For "always-fresh" workflows, schedule daily/hourly via Apify Schedules with onlyNewSinceLastRun: true.

Q: How does the delta feed work? A: Each emitted item has a content_hash (sha256 over key identity fields). After your first run, the actor remembers those hashes; subsequent runs with onlyNewSinceLastRun: true skip items whose hash was already emitted — returning only genuinely new content.

Q: Is this legal? A: For educational and research purposes. You are responsible for complying with SA's Terms of Service. Public-data scraping is generally permissible for personal use, but commercial redistribution requires SA's authorization. Don't republish article text. Don't claim affiliation with SA. We're not lawyers — when in doubt, ask one.

Q: Why don't I get article body / full text? A: SA paywalls article bodies under SA Premium and also restricts non-Premium body content. We extract headline + structured metadata only. The paywalled_fields array on each record lists what we honestly cannot deliver.

Q: How does this compare to Alpha Vantage / Tiingo / Finnhub? A: Those sell broad fundamentals across many sources and require a monthly subscription. This actor focuses on SA-specific signals (headlines, parsed earnings, dividend scorecard) and charges pay-per-use. Best when SA-specific news/dividends matter; not when you need broad fundamentals across exchanges.

Q: Can I run it as a cron job? A: Yes. Apify Schedules → pick this actor → set frequency (hourly, daily, weekly) → set input with onlyNewSinceLastRun: true for incremental refresh. The default dataset accumulates only newly-detected items.

Q: How many tickers can I query in one run? A: Soft answer: as many as you want; each triggers one fetch (~5 credits). Hard cap on items is maxItems (default 100, max 1000). Practical: 5-50 tickers per run for portfolio sweeps; 1 ticker per run for delta-feed cron jobs.

Q: What ticker formats are accepted? A: Standard NYSE/NASDAQ tickers (AAPL, MSFT, NVDA). Tickers with class designators work (BRK.B). Dollar-prefix ($AAPL) is auto-stripped. Whitespace-trimmed, case-insensitive (aapl → AAPL).

Q: My run failed — am I charged? A: No. The PPE event fires only after a successful pushData. If a fetch fails, parsing yields zero items, or the backend returns an error → nothing is billed.

Q: What about Apify proxy / residential IPs? A: This actor uses a stealth-proxied web fetch via the backend. No residential proxy from your account is consumed — backend handles all fetching with its own infrastructure.

Disclaimer & legal scope

This actor is provided as-is, for educational and research purposes. By using it you agree to:

1. Comply with Seeking Alpha's Terms of Service — including their robots policy, fair-use limits, and content licensing terms
2. Not redistribute scraped content commercially without proper licensing from Seeking Alpha
3. Acknowledge data accuracy is best-effort — markets are noisy, parsers fall behind website changes, and SA may serve different content based on geography. Date strings like date_iso are best-effort normalized; verify against date_raw when timing is critical
4. Not use this data for unauthorized financial advice or trading systems without proper regulatory compliance (SEC, FINRA, FCA depending on your jurisdiction)
5. Understand that derived signals (signal, signal_confidence, signal_confidence cap of 0.95) are heuristics, not advice. We label them as our own derivation, never as SA's proprietary Quant Rating

The actor does not scrape Premium-locked surfaces. Quant Rating, Factor Grades, dividend safety, and analyst ratings remain behind SA's Premium paywall and are not extracted by this actor — by design.

Independent project. Not affiliated with, endorsed by, or partnered with Seeking Alpha Inc.

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