Yahoo Finance Quotes Scraper

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How does Yahoo Finance Market Quotes Scraper work?

The Yahoo Finance Market Quotes Scraper extracts real-time market data including live stock prices, market statistics, and quote information for multiple symbols across supported global regions. It retrieves comprehensive, up-to-date details such as open, high, low, close prices, volume, dividend yield, earnings data, and other market indicators.

This Actor operates in real-time and fetches fresh market data directly from Yahoo Finance without relying on cached results, ensuring the most current quotes and market insights.

Users provide input in JSON format specifying multiple stock symbols and target regions. The Actor processes each input, retrieves live market data, and returns structured JSON outputs compatible with financial analysis and monitoring needs.

Input data

Input must be a JSON object with one mandatory field named "input", which is an array of request objects. Each object in the array represents a separate data request specifying stock symbols and the market region.

Fields for each input object:

• symbols (Required): A comma-separated string of stock symbols to fetch market data for.
• region (Required): The region code representing the market, such as US, BR, AU, CA, FR, DE, HK, IN, IT, ES, GB, SG.

Multiple requests can be submitted in one execution by providing multiple objects within the "input" array.

Example input

{
"input":[
{
"symbols":"AAPL,TSLA,GOOG",
"region":"US"
},
{
"symbols":"MSFT,AMZN",
"region":"US"
}
]
}

Output data

{
"statusCode":200,
"statusMessage":"FOUND",
"region":"US",
"language":"en-US",
"quoteType":"EQUITY",
"typeDisp":"Equity",
"quoteSourceName":"Nasdaq Real Time Price",
"triggerable":true,
"customPriceAlertConfidence":"HIGH",
"components":[
"^AIX",
"^AVSPY",
"^CAPEXA",
"^CAPEXAN",
"^CPQ",
"^CPQNTR",
"^DJA",
"^DJI",
"^DWANQTL",
"^DWARJFMU",
"^DWUSSR",
"^GMB",
"^GMBNTR",
"^IXCO",
"^IXIC",
"^MNX1",
"^MSH",
"^NDX",
"^NDXCAD",
"^NDXCHF",
"^NDXE",
"^NDXEUR",
"^NDXGBP",
"^NDXHKD",
"^NDXT",
"^NQ96DIVUS",
"^NQBUY",
"^NQCAPST",
"^NQCRD",
"^NQCRDN",
"^NQDM9000LM",
"^NQDM9000LMAUD",
"^NQDM9000LMAUDN",
"^NQDM9000LMCAD",
"^NQDM9000LMCADN",
"^NQDM9000LMEUR",
"^NQDM9000LMEURN",
"^NQDM9000LMGBP",
"^NQDM9000LMGBPN",
"^NQDM9000LMJPY",
"^NQDM9000LMJPYN",
"^NQDM9000LMN",
"^NQDMXGBLM",
"^NQDMXGBLMAUD",
"^NQDMXGBLMAUDN",
"^NQDMXGBLMCAD",
"^NQDMXGBLMCADN",
"^NQDMXGBLMEUR",
"^NQDMXGBLMEURN",
"^NQDMXGBLMGBP",
"^NQDMXGBLMGBPN",
"^NQDMXGBLMJPY",
"^NQDMXGBLMJPYN",
"^NQDMXGBLMN",
"^NQDMXJPLM",
"^NQDMXJPLMAUD",
"^NQDMXJPLMAUDN",
"^NQDMXJPLMCAD",
"^NQDMXJPLMCADN",
"^NQDMXJPLMEUR",
"^NQDMXJPLMEURN",
"^NQDMXJPLMGBP",
"^NQDMXJPLMGBPN",
"^NQDMXJPLMJPY",
"^NQDMXJPLMJPYN",
"^NQDMXJPLMN",
"^NQDMXKR",
"^NQDMXKRAUD",
"^NQDMXKRAUDN",
"^NQDMXKRCAD",
"^NQDMXKRCADN",
"^NQDMXKREUR",
"^NQDMXKREURN",
"^NQDMXKRGBP",
"^NQDMXKRGBPN",
"^NQDMXKRJPY",
"^NQDMXKRJPYN",
"^NQDMXKRLC",
"^NQDMXKRLCAUD",
"^NQDMXKRLCAUDN",
"^NQDMXKRLCCAD",
"^NQDMXKRLCCADN",
"^NQDMXKRLCEUR",
"^NQDMXKRLCEURN",
"^NQDMXKRLCGBP",
"^NQDMXKRLCGBPN",
"^NQDMXKRLCJPY",
"^NQDMXKRLCJPYN",
"^NQDMXKRLCN",
"^NQDMXKRLM",
"^NQDMXKRLMAUD",
"^NQDMXKRLMAUDN",
"^NQDMXKRLMCAD",
"^NQDMXKRLMCADN",
"^NQDMXKRLMEUR",
"^NQDMXKRLMEURN",
"^NQDMXKRLMGBP",
"^NQDMXKRLMGBPN",
"^NQDMXKRLMJPY",
"^NQDMXKRLMJPYN",
"^NQDMXKRLMN",
"^NQDMXKRN",
"^NQDOG",
"^NQDOGN",
"^NQDVRIS",
"^NQDXUSLC",
"^NQDXUSLCEUR",
"^NQDXUSLCEURN",
"^NQDXUSLCG",
"^NQDXUSLCGBP",
"^NQDXUSLCGBPN",
"^NQDXUSLCGN",
"^NQDXUSLCN",
"^NQDXUSMEGA",
"^NQDXUSMEGAN",
"^NQDXUSMLTCG",
"^NQDXUSMLTCGN",
"^NQFFUSM",
"^NQFFUSMN",
"^NQFGSL",
"^NQFGSLN",
"^NQG9000LM",
"^NQG9000LMAUD",
"^NQG9000LMAUDN",
"^NQG9000LMCAD",
"^NQG9000LMCADN",
"^NQG9000LMEUR",
"^NQG9000LMEURN",
"^NQG9000LMGBP",
"^NQG9000LMGBPN",
"^NQG9000LMJPY",
"^NQG9000LMJPYN",
"^NQG9000LMN",
"^NQGMOI",
"^NQGMOIN",
"^NQGS",
"^NQGXGBLM",
"^NQGXGBLMAUD",
"^NQGXGBLMAUDN",
"^NQGXGBLMCAD",
"^NQGXGBLMCADN",
"^NQGXGBLMEUR",
"^NQGXGBLMEURN",
"^NQGXGBLMGBP",
"^NQGXGBLMGBPN",
"^NQGXGBLMJPY",
"^NQGXGBLMJPYN",
"^NQGXGBLMN",
"^NQGXJPLM",
"^NQGXJPLMAUD",
"^NQGXJPLMAUDN",
"^NQGXJPLMCAD",
"^NQGXJPLMCADN",
"^NQGXJPLMEUR",
"^NQGXJPLMEURN",
"^NQGXJPLMGBP",
"^NQGXJPLMGBPN",
"^NQGXJPLMJPY",
"^NQGXJPLMJPYN",
"^NQGXJPLMN",
"^NQNA9000LM",
"^NQNA9000LMAUD",
"^NQNA9000LMAUDN",
"^NQNA9000LMCAD",
"^NQNA9000LMCADN",
"^NQNA9000LMEUR",
"^NQNA9000LMEURN",
"^NQNA9000LMGBP",
"^NQNA9000LMGBPN",
"^NQNA9000LMJPY",
"^NQNA9000LMJPYN",
"^NQNA9000LMN",
"^NQNALM",
"^NQNALMAUD",
"^NQNALMAUDN",
"^NQNALMCAD",
"^NQNALMCADN",
"^NQNALMEUR",
"^NQNALMEURN",
"^NQNALMGBP",
"^NQNALMGBPN",
"^NQNALMJPY",
"^NQNALMJPYN",
"^NQNALMN",
"^NQSHYL",
"^NQSHYLN",
"^NQSXY",
"^NQSXYN",
"^NQUS500LC",
"^NQUS500LCG",
"^NQUS500LCGN",
"^NQUS500LCN",
"^NQUSB9000LM",
"^NQUSB9000LMAUD",
"^NQUSB9000LMAUDN",
"^NQUSB9000LMCAD",
"^NQUSB9000LMCADN",
"^NQUSB9000LMEUR",
"^NQUSB9000LMEURN",
"^NQUSB9000LMGBP",
"^NQUSB9000LMGBPN",
"^NQUSB9000LMJPY",
"^NQUSB9000LMJPYN",
"^NQUSB9000LMN",
"^NQUSB9570LM",
"^NQUSB9570LMAUD",
"^NQUSB9570LMAUDN",
"^NQUSB9570LMCAD",
"^NQUSB9570LMCADN",
"^NQUSB9570LMEUR",
"^NQUSB9570LMEURN",
"^NQUSB9570LMGBP",
"^NQUSB9570LMGBPN",
"^NQUSB9570LMJPY",
"^NQUSB9570LMJPYN",
"^NQUSB9570LMN",
"^NQUSB9572LM",
"^NQUSB9572LMAUD",
"^NQUSB9572LMAUDN",
"^NQUSB9572LMCAD",
"^NQUSB9572LMCADN",
"^NQUSB9572LMEUR",
"^NQUSB9572LMEURN",
"^NQUSB9572LMGBP",
"^NQUSB9572LMGBPN",
"^NQUSB9572LMJPY",
"^NQUSB9572LMJPYN",
"^NQUSB9572LMN",
"^NQUSBLM",
"^NQUSBLMAUD",
"^NQUSBLMAUDN",
"^NQUSBLMCAD",
"^NQUSBLMCADN",
"^NQUSBLMEUR",
"^NQUSBLMEURN",
"^NQUSBLMGBP",
"^NQUSBLMGBPN",
"^NQUSBLMJPY",
"^NQUSBLMJPYN",
"^NQUSBLMN",
"^NQUSLG",
"^NQUSLGN",
"^NQUSMLTCG",
"^NQUSMLTCGN",
"^NQVMVUS",
"^NQVMVUSN",
"^QCRD",
"^QFON",
"^QIV",
"^QMI",
"^XCI",
"^XCQ",
"^XNDXNNR",
"^XNDXNNRCAD",
"^XNDXNNRCHF",
"^XNDXNNREUR",
"^XNDXNNRGBP",
"^XNDXNNRHKD",
"^XQC",
"^XQO"
],
"currency":"USD",
"hasPrePostMarketData":true,
"firstTradeDateMilliseconds":345479400000,
"priceHint":2,
"totalCash":54697001000.0,
"floatShares":14750494382,
"ebitda":144748003328,
"shortRatio":2.68,
"preMarketChange":-1.5599976,
"preMarketChangePercent":-0.5994227,
"preMarketTime":1768314599,
"targetPriceHigh":350.0,
"targetPriceLow":215.0,
"targetPriceMean":287.82877,
"targetPriceMedian":300.0,
"preMarketPrice":258.69,
"heldPercentInsiders":1.702,
"heldPercentInstitutions":64.804,
"regularMarketChange":-1.3399963,
"regularMarketChangePercent":-0.5148881,
"regularMarketTime":1768335663,
"regularMarketPrice":258.91,
"regularMarketDayHigh":261.81,
"regularMarketDayRange":"258.39 - 261.81",
"regularMarketDayLow":258.39,
"regularMarketVolume":27850041,
"sharesShort":112732788,
"sharesShortPrevMonth":129458559,
"shortPercentFloat":0.76,
"regularMarketPreviousClose":260.25,
"bid":272.0,
"ask":274.97,
"bidSize":1,
"askSize":4,
"exchange":"NMS",
"market":"us_market",
"messageBoardId":"finmb_24937",
"fullExchangeName":"NasdaqGS",
"shortName":"Apple Inc.",
"longName":"Apple Inc.",
"regularMarketOpen":259.41,
"averageDailyVolume3Month":45595795,
"averageDailyVolume10Day":39291900,
"beta":1.093,
"fiftyTwoWeekLowChange":89.7,
"fiftyTwoWeekLowChangePercent":0.5301105,
"fiftyTwoWeekRange":"169.21 - 288.62",
"fiftyTwoWeekHighChange":-29.709991,
"fiftyTwoWeekHighChangePercent":-0.10293809,
"fiftyTwoWeekLow":169.21,
"fiftyTwoWeekHigh":288.62,
"dividendDate":1762992000,
"exDividendDate":1762732800,
"earningsTimestamp":1769720400,
"earningsTimestampStart":1769720400,
"earningsTimestampEnd":1769720400,
"trailingAnnualDividendRate":1.02,
"trailingPE":34.659973,
"dividendsPerShare":1.02,
"dividendRate":1.04,
"trailingAnnualDividendYield":0.003919308,
"dividendYield":0.4,
"revenue":416161006000.0,
"priceToSales":9.1929455,
"marketState":"REGULAR",
"epsTrailingTwelveMonths":7.47,
"epsForward":9.15127,
"epsCurrentYear":8.25082,
"epsNextQuarter":1.83559,
"priceEpsCurrentYear":31.379911,
"priceEpsNextQuarter":141.05002,
"sharesOutstanding":14697926000,
"bookValue":4.991,
"fiftyDayAverage":272.432,
"fiftyDayAverageChange":-13.522003,
"fiftyDayAverageChangePercent":-0.049634416,
"twoHundredDayAverage":233.31685,
"twoHundredDayAverageChange":25.593155,
"twoHundredDayAverageChangePercent":0.1096927,
"marketCap":3825745526784,
"forwardPE":28.292248,
"priceToBook":51.875374,
"sourceInterval":15,
"exchangeDataDelayedBy":0,
"exchangeTimezoneName":"America/New_York",
"exchangeTimezoneShortName":"EST",
"pageViews":{
"midTermTrend":"UP",
"longTermTrend":"UP",
"shortTermTrend":"DOWN"
},
"gmtOffSetMilliseconds":-18000000,
"esgPopulated":false,
"tradeable":false,
"cryptoTradeable":false,
"symbol":"AAPL",
"contractSymbol":false,
"financialCurrency":"USD"
}

How much does Yahoo Finance Market Quotes Scraper cost?

Costs vary based on the number of requests and the volume of data extracted. It is advisable to perform a test run with a limited set of stock symbols and regions to estimate resource usage and potential expenses.

What to consider when using this Actor?

We have over a decade of experience in web crawling included in this Actor, which means users do not need to manage common web scraping challenges such as:

• Proxy Rotation: The Actor uses automated proxy rotation to prevent IP blocking and ensure uninterrupted data access.
• Geo Targeting: Requests are routed through region-appropriate proxies to accurately represent market regions and avoid geo-restrictions.
• Captcha / Blocking Handling: The Actor automatically manages captchas and temporary blocks, maintaining extraction stability.
• Stability and Reliability: Comprehensive lifecycle management reduces user intervention and enhances reliability of data extraction.

Where else you can find Axesso - Data Service solutions?

Axesso offers APIs and Actors through its official API Portal and is also available on RapidAPI. These platforms have established a proven track record delivering reliable data services to thousands of subscribers.

Use cases for our Axesso Yahoo Finance Actors

1. Market research: Retrieve structured market data for financial analysis, valuation models, and research workflows.
2. Price monitoring: Track real-time and intraday price movements to detect market changes.
3. Historical price analysis: Access historical time-series data for backtesting, trend analysis, and technical indicators.
4. Portfolio tracking: Monitor asset performance, returns, and exposure across multiple financial instruments.
5. Trading and automation: Use market data as input for algorithmic trading systems and automated workflows.
6. Financial data aggregation: Collect and store market data in databases or data warehouses for analytics and reporting.
7. Market dashboards and websites: Provide current and historical price data for dashboards, screeners, and financial websites.
8. Event-based analysis: Analyze price movements around earnings, dividends, splits, and other corporate actions.
9. Instrument discovery: Detect relevant stocks, ETFs, or cryptocurrencies based on market activity and predefined thresholds.