📈 Finviz Stock Screener Scraper

🚀 Screen 11,000+ US-listed stocks and ETFs in seconds. Filter by signal, sector, market cap, and 30+ technical or fundamental knobs, then pull 80+ data points per ticker. No API key, no login, no manual CSV wrangling.

🕒 Last updated: 2026-05-17 · 📊 85 fields per record · 11,138 tickers in the universe · 33 signal presets · 152 industries · 62 countries

Finviz is the visual screener traders open every morning. It crunches price action, fundamentals, ownership, analyst recommendations, and chart patterns into one searchable grid covering essentially every stock and ETF listed on NASDAQ, NYSE, AMEX, and CBOE. The site exposes filters that span valuation (P/E, PEG, P/B, P/S, EV/EBITDA), profitability (ROE, ROA, margins), growth (EPS and sales Y/Y, quarter-over-quarter), technicals (SMA, RSI, ATR, beta, chart patterns), ownership (insider, institutional, short interest), and event-driven signals (earnings dates, upgrades, downgrades, unusual volume). Pulling all of that data into a spreadsheet, watchlist, or quant pipeline normally means glueing together a CSV export tool, a paid API, and a handful of manual lookups.

This scraper does the glue. Hand it a signal preset like Top Gainers or Recent Insider Buying, narrow with sector and market cap filters, or just feed it a list of tickers. It returns clean JSON with 85 fields per row, merging the screener result with the dedicated quote page so you also get target prices, analyst ratings, dividend history, earnings dates, 52-week range distance, and full technical context. Built on the same fast Bun + fetch stack we use for our other markets actors, with retries and Apify residential proxy support baked in.

🎯 Target Audience	💡 Primary Use Cases
📈 Retail traders building rule-based watchlists	Find the next breakout: top gainers, unusual volume, new highs
🧮 Quantitative analysts and backtesters	Pull factor data (value, momentum, quality) for thousands of tickers
🏦 Hedge fund research desks tracking flows	Track insider transactions and institutional ownership changes daily
🤖 Trading bot and signal app builders	Feed live fundamentals and technicals into systematic strategies
📰 Financial bloggers, newsletters, podcasts	Pull screened tables for daily market commentary and content
🧑‍🎓 Students and finance educators	Build coursework datasets covering the full US equity universe

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📋 What the Finviz Stock Screener Scraper does

• 📡 One unified screen. Combine signal presets, sector, industry, country, market cap, exchange, and index filters, plus raw Finviz filter expressions for advanced screens.
• 📊 80+ fields per ticker. Pulls Overview screener row, then enriches with the dedicated quote page for fundamentals, technicals, ownership, analyst, and dividend data.
• 🔍 Signal presets in one click. 33 built-in scans including Top Gainers, Top Losers, Most Active, Unusual Volume, Overbought, Oversold, Recent Insider Buying, Earnings Before / After Hours, and 16 chart patterns.
• 🚀 Whole-universe coverage. Walks pagination across the full 11,138-stock Finviz universe so a single run can sweep up to 1M records.
• 💾 Stable output schema. Same 85 columns whether you screen one ticker or ten thousand, so it drops straight into your warehouse or notebook.
• 🛰️ Residential proxies, retries, jitter. Apify residential US proxy by default with exponential back-off so longer runs do not stall.

Each record covers the ticker, company name, sector, industry, country, exchange, market cap (string and numeric), price, daily change, volume, valuation ratios (P/E, forward P/E, PEG, P/S, P/B, P/C, P/FCF, EV/EBITDA, EV/Sales), growth (EPS this year, next 5Y, past 3/5Y, Q/Q, Y/Y; same for sales), profitability (gross / operating / profit margin, ROA, ROE, ROI), balance sheet (current ratio, quick ratio, debt/equity, LT debt/equity, book/sh, cash/sh), ownership (insider, institutional, short float, short ratio), analysts (target price, recommendation 1-5), technicals (SMA20, SMA50, SMA200, RSI, beta, ATR, volatility, 52W high/low distance), performance (week, month, quarter, half-year, year, YTD), dividends (yield, payout ratio), and event data (earnings date, IPO date, index membership).

💡 Why it matters: Yahoo Finance is great for prices, but the analytical framework, the screening grid, the chart pattern detection, the insider transaction feed, all of that lives on Finviz. Pulling it programmatically lets you stop watching the morning grid and start automating against it.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to run a signal preset, refine with sector filters, and pipe the JSON into a spreadsheet or trading bot.

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⚙️ Input

Field	Type	Required	Description
tickers	array of strings	No	Restrict the screen to a specific list (e.g. AAPL, NVDA). Leave empty to scan the full universe.
signal	enum	No	One of 33 Finviz signal presets: Top Gainers, Top Losers, Most Active, Unusual Volume, Overbought, Oversold, Recent Insider Buying, Major News, Wedge Up, and many more.
exchange	enum	No	AMEX, CBOE, NASDAQ, NYSE.
index	enum	No	S&P 500, NDX, DJIA, Russell 2000 constituents only.
sector	enum	No	One of 11 GICS-style sectors (Technology, Healthcare, Financial, Energy, etc.).
industry	enum	No	One of 152 industries, plus shortcuts for Stocks Only or Stocks Only excluding Funds & Shell Companies.
country	enum	No	One of 62 countries of headquarters (USA, China, UK, Canada, etc.).
marketCap	enum	No	Mega, Large, Mid, Small, Micro, Nano, or combined buckets like Large+ or Small-.
customFilters	string	No	Advanced: raw Finviz filter expression to append (e.g. fa_pe_low20,ta_sma200_pa).
sortBy	enum	No	Column used to order results (market cap, P/E, change, volume, RSI, etc.).
sortDirection	enum	No	Ascending or descending. Defaults to descending.
enrich	boolean	No	Pull the dedicated quote page for each ticker to merge 70+ extra fields. On by default.
maxItems	integer	No	Free plan: 10. Paid plan: up to 1,000,000.

Example: pull today's top 25 gainers across all US exchanges with full enrichment.

{
  "signal": "ta_topgainers",
  "maxItems": 25,
  "enrich": true
}

Example: scan Technology mega-caps in the S&P 500, sorted by P/E ascending.

{
  "index": "sp500",
  "sector": "technology",
  "marketCap": "large",
  "sortBy": "pe",
  "sortDirection": "asc",
  "maxItems": 50,
  "enrich": true
}

⚠️ Good to Know: Some fields (P/E, dividend yield, payout ratio) come back null for unprofitable companies, ETFs, or recent IPOs. That mirrors the source. Set enrich: false if you only need the screener row and want to save one HTTP request per ticker.

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📊 Output

Each record is a flat JSON object with one ticker per row. The schema is stable regardless of which filters you apply.

🧾 Schema

Field	Type	Example
🏷️ ticker	string	AAPL
🏢 company	string	Apple Inc
🗂️ sector	string	Technology
🏭 industry	string	Consumer Electronics
🌍 country	string	USA
🏛️ exchange	string	NASD
💰 marketCap	string	4409.59B
🔢 marketCapValue	number	4409590000000
💲 price	number	300.23
📈 changePercent	number	0.68
📊 volume	number	54669886
🔁 relativeVolume	number	1.25
📐 pe / forwardPe / peg	number	36.32 / 31.31 / 2.57
📏 ps / pb / pc / pfcf	number	9.77 / 41.35 / 64.37 / 34.14
🏦 evEbitda / evSales	number	27.67 / 9.80
💵 dividendYield / payoutRatio	number	0.35 / 13.66
💹 eps / epsNextY / epsNextQ	number	8.27 / 9.59 / 1.88
📈 epsYoyTtm / salesYoyTtm	number	28.91 / 12.76
🧮 grossMargin / operMargin / profitMargin	number	47.86 / 32.64 / 27.15
🏆 roa / roe / roi	number	34.91 / 141.47 / 67.76
⚖️ currentRatio / quickRatio	number	1.07 / 1.02
🔻 debtEq / ltDebtEq	number	0.80 / 0.70
👥 insiderOwn / instOwn	number	0.12 / 66.02
🔄 insiderTrans / instTrans	number	-1.93 / 0.53
🩳 shortFloat / shortRatio	number	0.92 / 3.09
🎯 targetPrice / recommendation	number	312.56 / 1.92
📉 sma20 / sma50 / sma200	number	6.64 / 12.79 / 15.86
🌡️ rsi / beta / atr	number	75.66 / 1.07 / 6.24
📅 perfWeek / perfMonth / perfYear / perfYTD	number	2.36 / 13.98 / 41.99 / 10.44
📆 earningsDate / ipoDate	string	Apr 30 AMC / Dec 12, 1980
🏷️ indexMembership	string	DJIA, NDX, S&P 500
🔗 url	string	https://finviz.com/quote.ashx?t=AAPL
⏱️ scrapedAt	string	2026-05-17T14:46:28.244Z

📦 Sample records

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✨ Why choose this Actor

	Capability
🧠	Single unified schema. Same 85 columns whether you screen one ticker or the entire 11K universe. No special cases per screen.
🛰️	Apify residential proxy by default. Set up automatically inside the actor. Cleaner runs and rotates around rate limits.
🚦	33 signal presets ready to use. Same scans that Finviz Elite users pay for, callable by enum value in one input field.
🧮	Quote-page enrichment baked in. 70+ fundamentals beyond what the screener row alone returns, including target price and analyst rating.
🔁	Robust pagination. Walks r= offsets up to 11,121 with backoff so the actor finishes even on the largest screens.
📤	Drop-in CSV, JSON, Excel. Apify dataset exports straight to spreadsheets, databases, or webhooks.
💸	No subscription, no API key. Finviz Elite is paid for the export feature. This actor pulls the same public data without that cost.

📊 The full Finviz universe is 11,138 stocks as of the last run, refreshed nightly upstream.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Finviz Stock Screener Scraper (this Actor)	Apify usage only	11,138 US tickers	Live	33 signals + 9 dropdowns + raw	One-click run
Official paid screeners	$25-100+ / month	Varies, usually deep	Live	Strong	Account, login, billing
Free brokerage tools	Free with account	Limited to their universe	Live	Basic	Account, KYC
Paid market-data APIs	$50-500+ / month	Excellent but raw	Live	None, you build the screen	API key, schema mapping
Manual CSV scrape	Free, brittle	Whatever you copy-paste	Snapshot	None	Spreadsheet labor

The actor delivers the same screening grid as paid alternatives, with no ongoing subscription.

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🚀 How to use

1. ▶️ Click Try for free. It opens the actor on Apify; you can sign up with Apify in seconds, no credit card required.
2. ⚙️ Pick a signal or filters. Choose a preset like Top Gainers, or combine sector, market cap, and country dropdowns. Optionally pin specific tickers.
3. 🔢 Set Max items. Free runs return up to 10 records; paid runs go up to 1,000,000.
4. 🚀 Press Start. The actor handles pagination, proxies, retries, and per-ticker enrichment.
5. 📤 Export. Download the dataset as JSON, CSV, Excel, or pull it via the Apify API into your own pipeline.

⏱️ Total time: under 2 minutes from sign-up to first dataset.

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💼 Business use cases

📈 Retail traders and chartists Build morning watchlists from Top Gainers, Unusual Volume, and Most Active signals Track 52-week high break-outs across an entire sector overnight Filter by RSI, SMA50, and chart patterns for technical entries Spot earnings-before-the-open candidates with one filter	🧮 Quantitative researchers Pull cross-sectional factor data (P/E, ROE, growth) on the full universe Track insider transactions and institutional ownership over time Backtest momentum and reversal strategies with the supplied 52-week stats Build sector-rotation models with the 11-sector breakdown
🏦 Hedge funds and prop desks Monitor analyst recommendation changes daily for idea generation Filter for short-squeeze setups (high short float + rising RSI + insider buying) Track event-driven plays: upgrades, downgrades, earnings dates Feed cleaned fundamentals straight into Bloomberg-replacement dashboards	🤖 Trading bots and signal apps Power notification apps with new-high or new-low triggers Build chart-pattern alerting (Wedge, Head and Shoulders, Channel, etc.) Schedule overnight pulls into a database for premarket screens Drive paper-trading and backtest pipelines with fresh fundamental cuts

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Finviz Stock Screener Scraper

Run the actor from any script or backend. Pull the dataset on a schedule, route alerts to Slack, push to BigQuery, or chain it into a downstream model.

• 🟦 Node.js / TypeScript client for typed Apify SDK access
• 🐍 Python client for notebooks and data science work
• 📚 Apify API docs for raw REST integration

Use Apify Schedules to run the screener every market open, every hour, or every Sunday night. Combine with webhooks to push fresh signals into your inbox, your Slack channel, or your trading platform.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

• Zapier - trigger an Apify run from any Zapier event and route the dataset onward
• Make - drag-and-drop scenarios that mix Apify with Slack, Notion, Sheets, and more
• Slack - push run alerts and dataset summaries straight to a channel
• Google Sheets - sync each run's dataset into a live spreadsheet
• Airbyte - stream Apify datasets into Snowflake, BigQuery, Redshift, or Postgres
• Webhooks - call any HTTP endpoint when a run finishes

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🔗 Recommended Actors

• 📊 FRED Economic Data Scraper - pull macro indicators from the St Louis Fed FRED database; perfect partner for top-down macro context
• 🏛️ SEC Form D Scraper - track private placements and Regulation D filings to spot pre-IPO activity
• 🕵️ FINRA BrokerCheck Scraper - background check brokers and registered investment advisors
• ⚖️ Business Bankruptcy Filings Scraper - distressed equity and credit watchlist source
• 🗳️ FEC Campaign Finance Contributions Scraper - track political donations for thematic and event-driven plays

💡 Pro Tip: browse the complete ParseForge collection for more scrapers covering markets, public records, and beyond.

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🆘 Need Help? Open our contact form and we will get back within a business day.

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⚠️ Disclaimer: This actor scrapes only public Finviz pages for personal, research, and business intelligence use. Always check Finviz's terms of service before redistributing data. Nothing here is investment advice; double-check anything you trade on against the source.