Stock, Options & Crypto Screener - Dividend & DeFi Yield Data

Stock, options and crypto screener data as plain JSON or CSV rows from one run. Four ranked boards: a stock options screener listing short-dated US equity options candidates scored on RSI, ATR%, relative volume, VWAP distance, momentum and at-the-money implied volatility; a crypto screener with a market-wide Fear & Greed overlay; federally tax-exempt municipal income funds with yield, tax-equivalent yield at the 24%, 32% and 37% federal brackets, dividend CAGR and streak years; and crypto staking and stablecoin yields with APY, TVL and a letter grade. Every row is impersonal screening data with the provider's disclaimer and position disclosure attached. It is not investment advice and it carries no buy or sell instruction.

The Actor is a thin client: it fetches each board you select from the data provider, keeps the top rows, drops anything that could read as a trade instruction, and writes the rest to the dataset. A run takes seconds and uses 256 MB. You need no API key, data subscription or brokerage login; the Actor carries its own provider credential and you only tick the sanctions attestation.

Stock options screener: RSI, ATR%, relative volume, VWAP distance and ATM IV per row

The options board ranks US equities that currently show a short-dated options setup. Each row carries symbol, a letter grade, a composite score, signal_strength, how many confluence_count and caution_count the scan found, a macro_factor, a news_sentiment score and an excluded flag. The observed object holds the readings behind the rank: last, rsi, atr_pct, rel_vol, vwap_dist_pct, mom_30m_pct, atm_iv, day_change_pct, daily_trend, momentum_dir, event_risk and session_phase. An illustrative_contract object shows one contract that fits the setup - expiry, dte, delta, bid, ask, spread_pct, volume, open_interest - as an illustration of the setup's shape, not something to trade. Set includeHeadlines to add the headlines the scan read.

Crypto screener with a Fear & Greed overlay

The crypto board applies the same technical screen to spot pairs, 24/7, with the market-wide Fear & Greed reading folded into macro_factor. Rows carry the same symbol, grade, score, signal_strength, confluence and caution counts, news_sentiment and observed readings as the options board, without the contract object. This board is the largest - several hundred pairs - so maxRowsPerBoard is the knob that keeps the dataset to the top of the ranking.

Municipal income funds: tax-equivalent yield, dividend CAGR and streak years

The dividends board ranks federally tax-exempt municipal income funds, so it is dividend income data for municipal bond funds rather than a dividend stock list. Each row carries symbol, the fund name, a letter grade and numeric rating, yield_pct, price, ttm_dividend, tax-equivalent yields for the 24%, 32% and 37% federal brackets (tax_equiv_yield_24pct_bracket and so on), payments_per_year, growth_streak_years, no_cut_years, last_cut_year, dividend_cagr_5y_pct and a notes list.

DeFi yield scanner: crypto staking and stablecoin yields with APY and TVL

The yields board serves three lists flattened into rows and tagged by kind: staking and stablecoin pools with symbol, project, chain, apy, apy_base (the base yield before token emissions), tvl_usd, a letter rating and a score; and cefi offers with platform, asset, apy and a note. minGrade reads the letter rating on this board.

Example input

{
    "boards": ["picks", "dividends", "crypto", "yields"],
    "maxRowsPerBoard": 50,
    "minGrade": "any",
    "attestNotSanctioned": true,
    "includeHeadlines": false
}

boards uses the provider's route names exactly as shown; the first one is the options board. maxRowsPerBoard keeps the top N of each ranked board, 0 keeps everything. minGrade keeps rows graded at least that well (rows with no letter are kept). attestNotSanctioned must be true or the run stops before fetching anything.

Output: example rows, CSV views and the OUTPUT record

Every row starts with the same six columns - board, as_of, board_hash, publication, disclaimer, operator_position_disclosure - then the board's own fields unchanged. Rows are written in the board's rank order. A dividends row looks like this:

{
    "board": "dividends",
    "as_of": "2026-10-13T18:07:17Z",
    "board_hash": "320f62c94b67f629926e5c840a053bef",
    "publication": "scalpstream-dividends",
    "disclaimer": "This is an impersonal, general-circulation research feed ...",
    "operator_position_disclosure": "The operator actively trades securities named in this feed ...",
    "symbol": "NXP",
    "fund": "Nuveen Select Tax-Free Income CEF - unleveraged",
    "grade": "A",
    "yield_pct": 4.93,
    "tax_equiv_yield_24pct_bracket": 6.49,
    "tax_equiv_yield_32pct_bracket": 7.25,
    "tax_equiv_yield_37pct_bracket": 7.83,
    "payments_per_year": 12,
    "growth_streak_years": 3,
    "no_cut_years": 9
}

An options row carries the nested objects intact:

{
    "board": "picks",
    "as_of": "2026-10-13T18:07:17Z",
    "symbol": "XYZ",
    "grade": "B",
    "score": 71.4,
    "signal_strength": 2,
    "confluence_count": 3,
    "caution_count": 1,
    "news_sentiment": 0.2,
    "observed": { "last": 42.17, "rsi": 58.3, "atr_pct": 2.9, "rel_vol": 1.8, "vwap_dist_pct": 0.6, "atm_iv": 0.41, "day_change_pct": 1.7, "daily_trend": "up" },
    "illustrative_contract": { "expiry": "2026-10-17", "dte": 4, "delta": 0.46, "bid": 1.05, "ask": 1.15, "spread_pct": 9.1, "volume": 812, "open_interest": 2410 }
}

Fields named verdict, plan, size, sizing or stake are removed from every row at every nesting level, whatever the provider sends. The dataset has one table view per board (options, dividends, crypto, yields) choosing that board's columns; filter on board when you export more than one board as CSV. The run's OUTPUT key-value record holds each board's response verbatim, keyed by board name, plus an errors map for any board that failed.

Pricing: one board-fetched event per board

One board-fetched event per board the provider served, whatever the number of rows: all four boards is four events, one board is one event. Rows are never billed individually, so maxRowsPerBoard changes the size of the dataset, not the price. A daily schedule of all four boards is therefore 30 runs and 120 events a month; a daily run of the crypto board alone is 30 events. A board that fails (provider unavailable, token rejected) is not charged, and the run still succeeds with the boards that worked; only a run where every selected board failed ends as failed. The per-event price is on this page's Pricing tab and steps down with your Apify plan; at any tier, all four boards once a day is 120 events a month.

Use cases: stock screener API, scheduled market data to Google Sheets or CSV

• Stock screener API: schedule the run and read the dataset as JSON through the Apify API, with as_of and board_hash on every row so a fresh board is distinguishable from a repeat.
• Options screener data as JSON: one row per candidate with observed readings and an illustrative_contract carrying delta, bid, ask, spread and open interest, ready for a notebook or a spreadsheet.
• Crypto screener JSON or CSV with the Fear & Greed overlay, trimmed to the top of the ranking by maxRowsPerBoard.
• Dividend income data for municipal bond funds: yield and tax-equivalent yield at the 24%, 32% and 37% brackets, dividend CAGR and streak years, for a tax-aware income spreadsheet.
• DeFi yield scanner rows: crypto staking and stablecoin APY with base APY, TVL and a grade, plus CeFi offers, in one flat table.
• Scheduled market data to Google Sheets or CSV: use the dataset's CSV export or Apify's Google Sheets integration on each run, and filter on board when more than one board is in the dataset.
• AI agents and automations: like any public Actor it can be called through the Apify API, a webhook or Apify's MCP server, and every row it hands back still carries the disclaimer and the operator position disclosure.

Not investment advice

Every row carries the provider's disclaimer and operator position disclosure verbatim, so they travel with the data into any CSV or spreadsheet. They read:

This is an impersonal, general-circulation research feed for educational and informational purposes only. It is the same for every recipient and is not tailored to anyone's financial situation. It is NOT investment advice and NOT a recommendation to buy or sell any security or option. Options trading involves substantial risk of loss. Do your own research and consult a licensed professional before trading.

The operator actively trades securities named in this feed and may transact (including before, after, or contrary to any signal shown) at any time and without notice. Assume the operator holds a position in any name shown.

No row carries an entry, stop, target, direction, position size or verdict. Any contract shown is illustrative of the setup, not an instruction to trade it.

Sanctions attestation

The data provider requires an attestation from the party receiving the data that it is not a sanctioned party. The attestNotSanctioned checkbox is that attestation: it is yours, not the Actor's, and it is forwarded to the provider with each request as a compliance header. Leave it unticked and the run stops with a status message before any request is made; nothing is fetched and nothing is charged.

FAQ

Is this a stock screener API I can run on a schedule? Yes. Run it on a schedule or through the Apify API and read the dataset as JSON or CSV; each run writes the boards as they stand at that moment, with as_of and board_hash on every row so you can tell a fresh board from a repeat.

Does it give buy or sell signals? No. The rows are ranked screening data - readings, grades and scores - with the provider's disclaimer on every one. There is no verdict, plan, direction or size, and anything shaped like one is stripped before the row is written.

Do I need an API key, a data subscription or a brokerage account? No. The Actor carries its own provider credential. The only thing you supply is the sanctions attestation in the input.

Can I get options screener data with delta, bid, ask, spread and open interest as JSON? Yes. Each options row carries one illustrative_contract with expiry, dte, delta, bid, ask, spread_pct, volume and open_interest, next to the observed readings. It is one contract that fits the setup's shape, not a full chain and not an instruction.

How do I get the crypto screener into Google Sheets or a CSV file? Open the run's dataset and export the crypto view as CSV, or attach Apify's Google Sheets integration to the Actor so every scheduled run appends its rows. Filter on board if you fetched more than one board.

What is tax-equivalent yield and which brackets are included? It is the taxable yield that would leave the same after-tax income as the fund's federally tax-exempt yield. Each dividends row carries it for the 24%, 32% and 37% federal brackets, next to the plain yield_pct.

Which crypto yields are included and what does apy_base mean? Staking and stablecoin pools with project, chain, apy, tvl_usd, a letter rating and a score, plus CeFi offers by platform. apy_base is the pool's base yield before token emissions, so apy minus apy_base is the part paid in incentives.

How fresh is the data? Each board carries the provider's as_of scan time and a board_hash. Two runs with the same hash fetched the same board; the data is a periodic scan, not a live tick stream.

Why did a board fail while the others worked? The provider answers each board on its own; a board that is being rescanned answers with an error, which the run records in the status message and the OUTPUT record's errors map and skips without charging. Run again a few minutes later.

What does minGrade do on the yields board? Yield rows carry their letter as rating, so minGrade reads that; the dividends board's numeric rating is ignored and its letter grade is used.

Can I get only one board? Select one board in boards. One board is one event.