Finance Yahoo Com Scraper [Just 💰$0.81]

What does Finance Yahoo Com Scraper do?

Yahoo Finance Scraper API extracts structured stock quotes from finance.yahoo.com screener lists: price, change, volume, market cap and valuation ratios for every symbol. Optional enrichment adds the company or fund profile and key statistics, dividends and splits, and the at-the-money call and put of the nearest expiration with strike, bid/ask, open interest, implied volatility and Black-Scholes option Greeks. Export as JSON or CSV, or read the dataset through the Apify API.

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Key features

• 💵 Structured pricing: structured price, change, changePercent, volume, marketCap, day range and 52-week range on every quote — numbers you can sort and compare without parsing text.
• 🔍 Screener lists: pick one or more Yahoo Finance screener lists (most actives, day gainers, day losers, undervalued growth stocks, top mutual funds and more) with the query input.
• 🔗 Paste-mode: paste finance.yahoo.com screener URLs into startUrls to scrape exactly the lists you picked in the browser.
• 📋 Detail enrichment: turn on includeDetails for each symbol's company or fund profile and key statistics (valuation ratios, margins, share structure, dividends, earnings date).
• 📈 Dividends, splits and option Greeks: opt in to includeEvents for each symbol's dividend and split history, and to includeGreeks for the at-the-money call and put with implied volatility, open interest and Black-Scholes delta, gamma, theta, vega and rho.
• ♻️ Incremental mode: recurring runs emit only quotes that are new or changed since the last run, so a scheduled watchlist stays small.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 📦 Compact mode: core quote fields only (symbol, name, price, change, volume, market cap) for AI agents and MCP tools.
• 🔌 MCP connectors: push a run summary into Notion via Apify's MCP connectors — no export step, no glue code. Opt-in, deterministic field mapping (no AI).
• 📌 Change classification: each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired.
• 📤 Export anywhere: Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from Yahoo Finance?

Each result includes Core quote fields (type, symbol, name, quoteType, exchange, exchangeCode, currency, and marketState, and more) and detail fields when enrichment is enabled (detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Detail enrichment is on by default and fetches each record's detail page — extra fields the search results omit.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Which Yahoo Finance screener list to scrape, e.g. most_actives, day_gainers, day_losers, growth_technology_stocks, undervalued_growth_stocks, aggressive_small_caps, small_cap_gainers, most_shorted_stocks, undervalued_large_caps, top_mutual_funds, high_yield_bond. Use a JSON array for several lists in one run (e.g. ["day_gainers","day_losers"]). Required if no tickers, search terms or startUrls provided.
• maxResults — Maximum total quotes (0 = unlimited). (default: 100)
• startUrls — Paste raw screener URLs from finance.yahoo.com. Each URL becomes its own task; results are merged and deduped by symbol across all URLs. When provided, startUrls REPLACE the screener list field (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• tickers — Ticker symbols or Yahoo Finance quote URLs: AAPL, SPY, BTC-USD, EURUSD=X, ^GSPC, GC=F. Overrides screeners when set; one quote per symbol, in the order given. Symbols Yahoo Finance does not know are skipped. (default: [])
• searchTerms — Company names, ISINs or other search terms (e.g. Apple, US0378331005). Each term is resolved to its top matching symbol and handled like a ticker. (default: [])
• includeDetails — Also fetch the company/fund profile and key statistics for each symbol (one extra request per symbol). (default: true)
• includeEvents — Add each symbol's dividend payments and stock splits within the chosen period (one extra request per symbol). (default: false)
• eventsRange — How far back to list dividends and splits. Only used with Include Dividends & Splits. (default: "5y")
• includeGreeks — Add the at-the-money call and put of the nearest expiration at least 7 days out (the nearest one if none is that far), with price, bid/ask, volume, open interest, implied volatility and Black-Scholes delta, gamma, theta (per day), vega (per 1 volatility point) and rho (per 1 percentage point of rate). Only for symbols that have listed options; others get empty values. One or two extra requests per symbol. (default: false)
• riskFreeRate — Interest rate used for the Greeks, as a decimal (e.g. 0.043 for 4.3%). Leave empty to use the current 13-week US Treasury bill yield from Yahoo Finance. Only used with Include Option Greeks.
• includeHistory — Add OHLCV candles (open, high, low, close, adjusted close, volume) for each symbol in the field history, oldest first. One extra request per symbol. (default: false)
• historyRange — How far back the price history goes. Ignored when a History Start Date is set. (default: "1mo")
• ...and 34 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "most_actives",
  "maxResults": 50
}

Incremental tracking — Only emit quotes that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "most_actives",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "most_actives-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "most_actives",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured quote records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example quote record

{
  "type": "ticker",
  "symbol": "SPCX",
  "name": "Space Exploration Technologies Corp.",
  "quoteType": "EQUITY",
  "exchange": "NasdaqGS",
  "exchangeCode": "NMS",
  "currency": "USD",
  "marketState": "REGULAR",
  "price": 151.32,
  "change": -7.98999,
  "changePercent": -5.0153728,
  "previousClose": 159.31,
  "open": 154.192,
  "dayLow": 150.58,
  "dayHigh": 154.22,
  "volume": 59210545,
  "averageVolume3Month": 97725404,
  "averageVolume10Day": 97029720,
  "marketCap": 1994667065344,
  "sharesOutstanding": 7696293669,
  "fiftyTwoWeekLow": 104.83,
  "fiftyTwoWeekHigh": 225.64,
  "fiftyTwoWeekChangePercent": -1.0189474,
  "fiftyDayAverage": 149.1434,
  "twoHundredDayAverage": 145.8167,
  "forwardPE": 69.947395,
  "epsTrailingTwelveMonths": -1.1,
  "epsForward": 2.16334,
  "epsCurrentYear": -0.23846,
  "priceToBook": 15.671086,
  "bookValue": 9.656,
  "dividendYieldPercent": 0,
  "trailingAnnualDividendRate": 0,
  "trailingAnnualDividendYieldPercent": 0,
  "bid": 150.03,
  "ask": 153.97,
  "bidSize": 4,
  "askSize": 6,
  "averageAnalystRating": "1.8 - Buy",
  "regularMarketTime": "2026-10-22T14:23:24.000Z",
  "earningsDate": "2026-10-20T20:00:00.000Z",
  "isEarningsDateEstimate": false,
  "firstTradeDate": "2026-06-12",
  "exchangeTimezone": "America/New_York",
  "quoteDelayMinutes": 15,
  "hasPrePostMarketData": true,
  "return5dPercent": 1.83,
  "return1mPercent": -2.18,
  "return3mPercent": 31.3,
  "profile": {
    "description": "Space Exploration Technologies Corp. provides satellite-based broadband services in the United States, Ireland, Canada, and internationally. It operates through three operating segments: Space, Connec...",
    "sector": "Industrials",
    "industry": "Aerospace & Defense",
    "website": "https://www.spacex.com",
    "country": "United States",
    "city": "Starbase",
    "fullTimeEmployees": 21000,
    "officers": [
      {
        "name": "Mr. Elon R. Musk",
        "title": "Founder, Chairman, CTO & CEO",
        "age": 54,
        "totalPay": 54080
      },
      {
        "name": "Ms. Gwynne E. Shotwell",
        "title": "President, COO & Director",
        "age": 61,
        "totalPay": 1110222
      },
      {
        "name": "Mr. Bret W. Johnsen",
        "title": "CFO & Secretary",
        "age": 56,
        "totalPay": 825000
      },
      {
        "name": "Mr. Michael  Sagan",
        "title": "Senior Director of Legal"
      },
      {
        "name": "Mr. Timothy R. Hughes",
        "title": "Senior VP of Global Business & Government Affairs"
      },
      "... 1 more items"
    ]
  },
  "statistics": {
    "enterpriseValue": 4139677646848,
    "profitMargins": -0.35661998,
    "floatShares": 4971640124,
    "sharesShort": 180996777,
    "shortRatio": 2.01,
    "heldPercentInsiders": 0.12732,
    "heldPercentInstitutions": 0.48561,
    "enterpriseToRevenue": 179.642,
    "enterpriseToEbitda": 701.997,
    "forwardPE": 64.16324,
    "dividendYield": 0,
    "payoutRatio": 0,
    "allTimeHigh": 225.64,
    "allTimeLow": 104.83,
    "averageVolume": 97725404,
    "averageVolume10days": 97029720
  },
  "url": "https://finance.yahoo.com/quote/SPCX/",
  "portalUrl": "https://finance.yahoo.com/quote/SPCX/",
  "listingId": "b4309daf413f9363290576810045206e7009da76c848adad3b900fea26be3193",
  "searchQuery": "most_actives",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-10-22T14:23:25.006Z",
  "source": "finance.yahoo.com"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape Yahoo Finance

1. Go to Finance Yahoo Com Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Keep includeDetails on (the default) for the extra detail-page fields, or turn it off for faster, cheaper runs.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract quote data from Yahoo Finance for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed quotes on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape Yahoo Finance?

Finance Yahoo Com Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.00005 per run
• Per result: $0.00081 per quote record

Example costs:

• 10 results: $0.00814
• 25 results: $0.02
• 100 results: $0.081
• 200 results: $0.16
• 500 results: $0.41

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of quotes that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 quotes per run, daily polling (30 runs/month). Costs scale linearly with the number of quotes.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.20	$0.01	$0.19 (95%)	$0.31
15% — moderate broad query	$0.20	$0.03	$0.17 (85%)	$0.91
30% — high-volume aggregator	$0.20	$0.06	$0.14 (70%)	$1.82

Full re-scrape monthly cost at the same cadence: $6.08. First month with incremental costs $0.50 / $1.08 / $1.97 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from Yahoo Finance?

The number of results depends on the search query and available quotes on Yahoo Finance. Use the maxResults parameter to control how many results are returned per run.

Does Finance Yahoo Com Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed quotes on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Finance Yahoo Com Scraper with other apps?

Yes. Finance Yahoo Com Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Finance Yahoo Com Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Finance Yahoo Com Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape Yahoo Finance?

This actor extracts publicly available data from Yahoo Finance. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on finance.yahoo.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Finance Yahoo Com's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Finance Yahoo Com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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