Yahoo Finance Scraper: Stock Quotes, Statistics & History

Yahoo Finance data by ticker symbol, logged out: tickers in, one row per symbol out — the quote (price, change, volume, market cap, the day and 52-week ranges, bid and ask, pre- and after-hours), the main statistics (P/E, EPS, dividend, shares, margins, the analysts' target and rating), the company or fund profile, and the price history you ask for (open, high, low, close, adjusted close, volume; dividends and splits) by range or date window, 1-minute to 3-month bars — for stocks, ETFs, funds, indices, crypto, currencies and futures, many tickers in one run. A ticker Yahoo Finance does not know gets a free row that says so. No login, no API key, no browser, proxies handled for you.

$0.50 per 1,000 ticker rows on the Free plan, $0.425 on Starter. A run start is $0.0025. The default input returns about 3 rows for about $0.004. A value that names nothing is a free row that says why.

Why this Yahoo Finance scraper

• Everything about a ticker in one row. The quote, about 50 statistics (valuation, dividend, shares, margins, cash and debt, the analysts' target and rating), the profile (sector, industry, website, employees, address, the business summary) and the price history sit in one row, so a watchlist of 100 tickers is 100 rows.
• Every kind of symbol. Stocks on any exchange (AAPL, BMW.DE, 7203.T), ETFs and mutual funds with their issuer, category, assets and expense ratio, indices (^GSPC), crypto (BTC-USD) with its supply, currencies (EURUSD=X) and futures (GC=F). A quote page URL works too.
• The history you ask for. A range (1d to 10y, ytd) or your own date window, in 1-minute to 3-month bars; max reads every bar since the first trade in the interval you pick (11,562 daily bars of AAPL from 1980-12-12 on our test, 2026-10-29), where Yahoo's own max falls back to 3-month bars. Daily and longer bars carry the adjusted close; the dividends and splits of the range come with them.
• Honest runs. A ticker Yahoo Finance does not know is a free not_found row (two exits agreed), a value that is not a ticker a free invalid row, a repeated ticker a free duplicate row; a symbol is charged once a run. A history range Yahoo cannot serve in the interval (1-minute bars for a year) is refused before the run starts, with Yahoo's limit in the message.
• Fast and light. Yahoo Finance's own JSON over plain HTTP, two requests a ticker, about 9 KB on the wire. On our deployed test 100 tickers with a month of daily bars took 17.5 s of reading, 24 s in all (2026-10-29).

Who it's for

• Investors and analysts — a watchlist's quotes, valuations, dividends and analyst targets every day into a sheet or a dashboard, one row per ticker.
• Quants and data teams — daily or intraday OHLCV with the adjusted close for backtests and models, by range or exact date window, with the splits and dividends of the range.
• Research and AI agents — a company's profile, sector, size and key figures in one typed row, for screening, enrichment or an agent's tool call.

Quick start

Three stocks with a month of daily prices

{
  "tickers": [
    "AAPL",
    "MSFT",
    "TSLA"
  ]
}

Quotes and statistics only, no history

{
  "tickers": [
    "SPY",
    "^GSPC",
    "BTC-USD",
    "EURUSD=X",
    "GC=F"
  ],
  "historyRange": "none"
}

Every weekly bar since the first trade

{
  "tickers": [
    "KO"
  ],
  "historyRange": "max",
  "historyInterval": "1wk"
}

Daily prices for a date window

{
  "tickers": [
    "NVDA",
    "AMD"
  ],
  "startDate": "2025-01-01",
  "endDate": "2025-12-31"
}

Hourly bars of the last 5 days

{
  "tickers": [
    "TSLA"
  ],
  "historyRange": "5d",
  "historyInterval": "1h"
}

Output

One row per ticker (and one free row per ticker Yahoo Finance does not answer):

field	meaning
row_type	ticker (one symbol's data, charged) or input (the free row of a ticker with no ticker row, with the reason).
input_index	The 1-based position of the ticker in tickers.
input_value	The ticker or URL as you gave it.
status	A ticker row: ok. An input row: not_found, invalid, duplicate, failed or not_read (see the FAQ).
status_detail	Why, in words, when the status is not ok.
scraped_at	When the row was read (ISO 8601, UTC).
symbol	The symbol as Yahoo Finance writes it (AAPL, BRK-B, ^GSPC, BTC-USD).
name	The company's, fund's or instrument's full name.
short_name	Yahoo's short name.
quote_type	EQUITY, ETF, MUTUALFUND, INDEX, CRYPTOCURRENCY, CURRENCY, FUTURE …
exchange	The exchange's code (NMS, NYQ, GER, JPX …).
exchange_name	The exchange's name (NasdaqGS, NYSE, XETRA …).
currency	The currency of the price and the history (ISO code).
market_state	PRE, REGULAR, POST, POSTPOST, PREPRE or CLOSED when read.
market_time	When the regular-session price was set (ISO 8601, UTC).
quote_delay_minutes	How many minutes the exchange's quote is delayed (0 = real time).
timezone	The exchange's time zone (America/New_York).
price	The last regular-session price.
change	The change from the previous close, in the currency.
change_percent	The change from the previous close, in percent (1.5 = +1.5 %).
previous_close	The previous session's close.
open	The session's open.
day_low	The session's low.
day_high	The session's high.
volume	The session's volume.
avg_volume_3m	The average daily volume over 3 months.
avg_volume_10d	The average daily volume over 10 days.
market_cap	The market capitalisation, in the currency.
bid	The bid when read.
ask	The ask when read.
fifty_two_week_low	The lowest price of the last 52 weeks.
fifty_two_week_high	The highest price of the last 52 weeks.
fifty_two_week_change_percent	The price change over 52 weeks, in percent.
fifty_day_average	The 50-day moving average.
two_hundred_day_average	The 200-day moving average.
pre_market_price	The pre-market price, when Yahoo has one.
pre_market_change_percent	The pre-market change, in percent.
post_market_price	The after-hours price, when Yahoo has one.
post_market_change_percent	The after-hours change, in percent.
pe_trailing	The price to the last 12 months' earnings.
pe_forward	The price to the next year's estimated earnings.
eps_trailing	Earnings per share, last 12 months.
eps_forward	Estimated earnings per share, next year.
peg_ratio	The P/E to the expected earnings growth.
price_to_book	The price to the book value per share.
price_to_sales	The market cap to the last 12 months' revenue.
book_value	The book value per share.
beta	The beta (5 years, monthly).
dividend_rate	The yearly dividend per share, in the currency.
dividend_yield_percent	The dividend yield, in percent (a fund's yield for a fund).
ex_dividend_date	The last or next ex-dividend date (YYYY-MM-DD).
payout_ratio_percent	The dividends to the earnings, in percent.
shares_outstanding	The shares outstanding.
float_shares	The shares in the public float.
enterprise_value	The enterprise value, in the currency.
enterprise_to_revenue	The enterprise value to the revenue.
enterprise_to_ebitda	The enterprise value to the EBITDA.
held_by_insiders_percent	The shares insiders hold, in percent.
held_by_institutions_percent	The shares institutions hold, in percent.
short_ratio	The shares sold short to the average daily volume (days to cover).
total_revenue	The revenue of the last 12 months, in financial_currency.
revenue_growth_percent	The quarterly revenue growth, year over year, in percent.
earnings_growth_percent	The quarterly earnings growth, year over year, in percent.
gross_margin_percent	The gross margin, in percent.
operating_margin_percent	The operating margin, in percent.
profit_margin_percent	The net profit margin, in percent.
ebitda	The EBITDA of the last 12 months, in financial_currency.
return_on_equity_percent	The return on equity, in percent.
total_cash	Cash and short-term investments, in financial_currency.
total_debt	The total debt, in financial_currency.
free_cashflow	The free cash flow of the last 12 months, in financial_currency.
financial_currency	The currency of the revenue, EBITDA, cash, debt and cash flow.
target_mean_price	The analysts' mean price target.
target_high_price	The analysts' highest price target.
target_low_price	The analysts' lowest price target.
recommendation_key	The analysts' consensus: strong_buy, buy, hold, underperform or sell.
recommendation_mean	The consensus score, 1 (strong buy) to 5 (sell).
analyst_opinions	How many analysts' opinions the consensus counts.
fund_family	A fund's or ETF's issuer.
fund_category	A fund's or ETF's category (Large Blend …).
total_assets	A fund's or ETF's net assets, in the currency.
expense_ratio_percent	A fund's or ETF's yearly expense ratio, in percent.
ytd_return_percent	A fund's or ETF's return this year, in percent.
circulating_supply	A coin's circulating supply.
volume_24h	A coin's volume over 24 hours.
sector	The company's sector.
industry	The company's industry.
website	The company's or fund's website.
ir_website	The company's investor-relations website.
employees	Full-time employees.
business_summary	Yahoo's description of the company, fund or coin.
address	The head office's address in one line.
city	The head office's city.
state	The head office's state or region.
country	The head office's country.
phone	The head office's phone number.
first_trade_date	The symbol's first trading day on Yahoo (YYYY-MM-DD).
history_range	The range asked (1mo, max …); empty for a date window or no history.
history_interval	The bar interval asked (1d, 1wk, 1h …); empty with no history.
history_status	ok, empty (no bar in the range), not_asked (historyRange = none), not_found (Yahoo has no chart for the symbol), refused (Yahoo refused the range for this symbol) or failed.
history_detail	The window read, or why there is no history, in words.
history_count	How many bars history holds.
history_first_date	The first bar's day (or day and time for intraday bars).
history_last_date	The last bar's day (or day and time for intraday bars).
history	One object per bar, oldest first: date (the exchange's own day, or day and time for intraday bars), time (UTC), open, high, low, close, adj_close (daily and longer bars), volume.
dividends	The dividends inside the history's range: date, amount.
splits	The splits inside the history's range: date, ratio, numerator, denominator.
change_type	With a memory: new, changed or unchanged against the last time this ticker was delivered.
changed_fields	With a memory: what moved since the last delivery, among price, change, change_percent, volume, market_cap, fifty_two_week_low, fifty_two_week_high, pe_trailing and dividend_yield_percent.
previous	With a memory: the changed fields' values at the last delivery.
previous_read_at	With a memory: when the ticker was last delivered.
previous_price	With a memory: the price at the last delivery.
price_change	With a memory: this price minus the price at the last delivery (not Yahoo's day change, which is change).
price_change_percent	With a memory: the move since the last delivery in percent of the previous price.
first_read_at	With a memory: when the memory first read the ticker.
times_read	With a memory: how many runs of the memory read the ticker.

Example record:

{
  "row_type": "ticker",
  "input_index": 1,
  "input_value": "AAPL",
  "status": "ok",
  "status_detail": null,
  "scraped_at": "2026-10-29T12:13:32Z",
  "symbol": "AAPL",
  "name": "Apple Inc.",
  "short_name": "Apple Inc.",
  "quote_type": "EQUITY",
  "exchange": "NMS",
  "exchange_name": "NasdaqGS",
  "currency": "USD",
  "market_state": "PRE",
  "market_time": "2026-10-28T20:00:01Z",
  "quote_delay_minutes": 15,
  "timezone": "America/New_York",
  "price": 343.83,
  "change": -3.27002,
  "change_percent": -0.942097,
  "previous_close": 347.1,
  "open": 346.885,
  "day_low": 343.53,
  "day_high": 347.18,
  "volume": 34405006,
  "avg_volume_3m": 43379289,
  "avg_volume_10d": 41051470,
  "market_cap": 5017916932096,
  "bid": 343.02,
  "ask": 346.97,
  "fifty_two_week_low": 243.42,
  "fifty_two_week_high": 351.73,
  "fifty_two_week_change_percent": 26.68755,
  "fifty_day_average": 331.7326,
  "two_hundred_day_average": 295.6934,
  "pre_market_price": 348.0895,
  "pre_market_change_percent": 1.238845,
  "post_market_price": 345.7836,
  "post_market_change_percent": 0.568192,
  "pe_trailing": 39.430042,
  "pe_forward": 35.956264,
  "eps_trailing": 8.72,
  "eps_forward": 9.56245,
  "peg_ratio": 2.78,
  "price_to_book": 46.71603,
  "price_to_sales": 10.749079,
  "book_value": 7.36,
  "beta": 1.069,
  "dividend_rate": 1.08,
  "dividend_yield_percent": 0.31,
  "ex_dividend_date": "2026-08-10",
  "payout_ratio_percent": 12.04,
  "shares_outstanding": 14594180000,
  "float_shares": 14569078010,
  "enterprise_value": 5039862054912,
  "enterprise_to_revenue": 10.796,
  "enterprise_to_ebitda": 30.007,
  "held_by_insiders_percent": 1.648,
  "held_by_institutions_percent": 66.337997,
  "short_ratio": 3.48,
  "total_revenue": 466822987776,
  "revenue_growth_percent": 16.4,
  "earnings_growth_percent": 28.7,
  "gross_margin_percent": 48.653,
  "operating_margin_percent": 32.623002,
  "profit_margin_percent": 27.618998,
  "ebitda": 167959003136,
  "return_on_equity_percent": 148.75101,
  "total_cash": 62399000576,
  "total_debt": 84343996416,
  "free_cashflow": 107721875456,
  "financial_currency": "USD",
  "target_mean_price": 332.3858,
  "target_high_price": 405.0,
  "target_low_price": 245.0,
  "recommendation_key": "buy",
  "recommendation_mean": 2.25,
  "analyst_opinions": 38,
  "fund_family": null,
  "fund_category": null,
  "total_assets": null,
  "expense_ratio_percent": null,
  "ytd_return_percent": null,
  "circulating_supply": null,
  "volume_24h": null,
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "website": "https://www.apple.com",
  "ir_website": "http://investor.apple.com/",
  "employees": 150000,
  "business_summary": "Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal computers; iPad, a line of multi-purpose tablets; and wearables, home, and accessories comprising AirPods, Apple Vision Pro, Apple TV, Apple Watch, Beats products, and HomePod, as well as Apple branded and third-party accessories. It also provides AppleCare support and cloud services; and operates various platforms, including the App Store that allows customers to discover and download applications and digital content, such as books, music, video, games, and podcasts, as well as advertising services include third-party licensing arrangements and its own advertising platforms. In addition, the company offers various subscription-based services, such as Apple Arcade, a game subscription service; Apple Fitness+, a personalized fitness service; Apple Music, which offers users a curated listening experience with on-demand radio stations; Apple News+, a subscription news and magazine service; Apple TV, which offers original content and live sports; Apple Card, a co-branded credit card; and Apple Pay, a cashless payment service, as well as licenses its intellectual property. The company serves consumers, and small and mid-sized businesses; and the education, enterprise, and government markets. It distributes third-party applications for its products through the App Store. The company also sells its products through its retail and online stores, and direct sales force; and third-party cellular network carriers and resellers. The company was formerly known as Apple Computer, Inc. and changed its name to Apple Inc. in January 2007. Apple Inc. was founded in 1976 and is headquartered in Cupertino, California.",
  "address": "One Apple Park Way, Cupertino, CA, 95014, United States",
  "city": "Cupertino",
  "state": "CA",
  "country": "United States",
  "phone": "(408) 996-1010",
  "first_trade_date": "1980-12-12",
  "history_range": "1mo",
  "history_interval": "1d",
  "history_status": "ok",
  "history_detail": null,
  "history_count": 22,
  "history_first_date": "2026-09-29",
  "history_last_date": "2026-10-28",
  "history": [
    {
      "date": "2026-10-26",
      "time": "2026-10-26T13:30:00Z",
      "open": 343.92,
      "high": 347.09,
      "low": 341.03,
      "close": 343.91,
      "adj_close": 343.91,
      "volume": 42743600
    },
    {
      "date": "2026-10-27",
      "time": "2026-10-27T13:30:00Z",
      "open": 343.17,
      "high": 347.78,
      "low": 342.39,
      "close": 347.1,
      "adj_close": 347.1,
      "volume": 39984400
    },
    {
      "date": "2026-10-28",
      "time": "2026-10-28T13:30:00Z",
      "open": 346.92,
      "high": 347.18,
      "low": 343.52,
      "close": 343.83,
      "adj_close": 343.83,
      "volume": 35595700
    }
  ],
  "dividends": [],
  "splits": [],
  "change_type": null,
  "changed_fields": null,
  "previous": null,
  "previous_read_at": null,
  "previous_price": null,
  "price_change": null,
  "price_change_percent": null,
  "first_read_at": null,
  "times_read": null
}

Pricing

Pay for the ticker rows a run delivers, plus one run start; no platform usage is billed to you. The row price falls with your Apify plan.

event	unit	Free	Starter	Scale	Business
Ticker (ticker)	per 1,000	$0.50	$0.425	$0.35	$0.25
Run start (start)	per run	$0.0025	$0.0025	$0.0025	$0.0025

A ticker row is $0.50 per 1,000 on the Free plan ($0.0005 a ticker), with its quote, statistics, profile and the history you ask for, short or long. Each run that delivers a charged row also pays the run start, $0.0025 once; a run that delivers no charged row pays nothing at all. So 100 tickers cost $0.0525 on the Free plan; many tickers in one run share one start. A ticker Yahoo Finance does not know (not_found), a value that is not a ticker (invalid), a repeated ticker (duplicate), a ticker left at the charge limit or the time limit (not_read) and a refusal the run could not pass (failed) get a free row and are never charged. A symbol is charged once a run. A run that stops early (a timeout, an abort) is charged for the rows it delivered. maxItems counts the charged rows; before the first request the log names the price of each row at your plan and the most the run can cost. Enterprise plans have their own rates: the Actor's Pricing tab shows the price for your plan.

Usage patterns

• A schedule — Save a task with your tickers and onlyChanged (and a stateStoreName to name the memory), schedule it daily or hourly: the first run delivers every ticker; each later run delivers (and charges) only the tickers whose price, change, volume, market cap, 52-week range, trailing P/E or dividend yield moved since the last delivery, with change_type, changed_fields, the previous values, previous_price, price_change and price_change_percent on the row. A ticker that did not move reads no history, gets no row and costs nothing; the run summary counts them (unchanged_skipped). Ready-made: Yahoo Finance quote monitor: daily, only the tickers that moved.
• Tickers — tickers takes Yahoo Finance symbols, one per line, written as Yahoo writes them: a share class with a hyphen (BRK-B), a non-US listing with its exchange suffix (BP.L, BMW.DE, 7203.T), an index with ^, a currency pair with =X, a future with =F. A quote page URL (https://finance.yahoo.com/quote/AAPL/) works too. Look a symbol up on finance.yahoo.com when unsure.
• The price history — historyRange = 1mo with historyInterval = 1d (the defaults) gives about 22 daily bars a ticker. Pick a longer range, max, or a startDate (and endDate) for a window; historyRange = none skips the history. Yahoo keeps intraday bars for a limited time: 1m for 30 days (8 days a run), 2m to 90m for 60 days, 1h for 2 years. history holds one object per bar, oldest first.
• What a row is — row_type = ticker: one symbol with its quote, statistics, profile and history; a field Yahoo does not carry for that symbol (a P/E for an index, a sector for a coin) is empty. row_type = input: the free row of a ticker with no ticker row, with its status and the reason.

Input configuration

field	type	default	what it does
tickers	array		Yahoo Finance symbols, one per line: stocks (AAPL, BRK-B, BMW.DE, 7203.T), ETFs and funds (SPY, VFIAX), indices (^GSPC), crypto (BTC-USD), currencies (EURUSD=X), futures (GC=F), or a quote page URL (https://finance.yahoo.com/quote/AAPL/). Write the symbol as Yahoo does: a share class takes a hyphen (BRK-B), a non-US listing its exchange suffix (.L, .DE, .T). Up to 5,000 tickers a run; one row each.
historyRange	none / 1d / 5d / 1mo / 3mo / 6mo / 1y / 2y / 5y / 10y / ytd / max	"1mo"	How far back the price history goes, ending now: 1mo (the default) to 10y, ytd, max (every bar since the first trade, in the interval you pick), or none for no history (the quote, statistics and profile only). A start date below replaces it.
historyInterval	1m / 2m / 5m / 15m / 30m / 60m / 90m / 1h / 1d / 5d / 1wk / 1mo / 3mo	"1d"	One bar per interval: 1d (daily, the default), 1wk, 1mo, 3mo, or intraday 1m to 90m and 1h. Yahoo keeps intraday bars for a limited time: 1m for 30 days and 8 days a run, 2m-90m for 60 days, 1h for 2 years; a range or window they cannot cover is refused before the run starts. Daily and longer bars carry the adjusted close.
startDate	string		The first day of a date window (YYYY-MM-DD). Set it to read the history between this day and the end date instead of the range above.
endDate	string		The last day of the date window (YYYY-MM-DD), with a start date. Empty: today.
onlyChanged	boolean	false	For a schedule: deliver (and charge) a ticker only when its price, change, volume, market cap, 52-week range, trailing P/E or dividend yield changed since the last run of the same memory. Each row then says what changed and the previous values; a market that did not move costs nothing.
stateStoreName	string	""	The name of the onlyChanged memory, so several tasks can share one or keep theirs apart. Empty: a name derived from the inputs.
maxItems	integer	0	Stop the run after this many ticker rows (0 = no limit). Free rows are not counted; a ticker left at the cap gets a free not_read row.

Errors

A run does not fail because of your input. When an input cannot be used — a date that is not a date, an id in the wrong form, two settings that contradict each other — the run ends Succeeded, charges nothing, and says what to change:

• the status message starts with INPUT REJECTED;
• the dataset holds one row, {"error": true, "code": "…", "message": "…"}, and no results;
• the key-value store record ERROR holds the same object.

From code, check error on the first row before reading results.

A ticker Yahoo Finance does not know is not an error: it gets one free row with status = not_found (two exits agreed), and the run goes on with the others. A run that ends Failed is a fault on our side, never your input; it charges nothing, and we are alerted.

FAQ

Does it give financial statements, news, options or holders?

No. This actor reads the quote, the main statistics, the profile and the price history. Financial statements, news, options chains, holders, insider trades and Yahoo's screeners are other Yahoo Finance pages; tell us on the Issues tab if you need one.

Why is my ticker not_found?

Yahoo Finance has no quote for that symbol, on two exits. Check the symbol on finance.yahoo.com: a share class takes a hyphen (BRK-B, not BRK.B), a non-US listing its suffix (SAP.DE), and a renamed or delisted company keeps no quote. A not_found row is free.

Which status is which?

A ticker row's status is ok. An input row's status is not_found (Yahoo has no quote for the symbol; two exits agreed), invalid (a value that is not a ticker or a Yahoo Finance quote URL), duplicate (the same symbol again: read once), failed (a refusal or an error; free) or not_read (left at maxItems, the charge limit or the run's time limit). history_status says how the history went on a ticker row.

Are the prices real time?

They are what Yahoo Finance shows logged out: real time for most US stocks and crypto, delayed for some exchanges (quote_delay_minutes says by how much). market_time is when the price was set.

Does it need a Yahoo account or API key?

No. Everything is read from Yahoo Finance's public pages, logged out.

Integration

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('hyperbach/yahoo-finance-scraper').call({"tickers": ["AAPL", "MSFT", "TSLA"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('hyperbach/yahoo-finance-scraper').call(run_input={'tickers': ['AAPL', 'MSFT', 'TSLA']})
items = client.dataset(run['defaultDatasetId']).list_items().items

CLI

$apify call hyperbach/yahoo-finance-scraper --input '{"tickers": ["AAPL", "MSFT", "TSLA"]}'

REST

curl -X POST "https://api.apify.com/v2/acts/hyperbach~yahoo-finance-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H 'Content-Type: application/json' -d '{"tickers": ["AAPL", "MSFT", "TSLA"]}'

AI agents and MCP

Apify's MCP server offers this Actor as a tool to Claude, Cursor, VS Code and any other MCP client. Connect https://mcp.apify.com?tools=hyperbach/yahoo-finance-scraper and ask, for example: "Get the quotes and a month of daily prices of AAPL, MSFT and TSLA from Yahoo Finance". The agent fills the input from the table above and reads the rows from the run's dataset. The input names are the ones in the table above.

n8n, Make and Zapier

The Apify node in n8n, the Apify app in Make and the Apify integration in Zapier run this Actor on a schedule or from a trigger and read its dataset. A webhook on the run's end (Integrations on the Actor page) sends the rows on to your own endpoint. Nothing to install on our side.

Support

Disagree with a charge? Write to apify@hyperbach.com with the run ID. We will ask Apify to compensate you, and the charge comes back to your Apify account as platform credit.

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See also

• ChatGPT Scraper — what ChatGPT, Gemini, Perplexity and Google's AI Mode and AI Overviews answer for your queries, with every source they cite.
• Substack Scraper — the posts of a Substack newsletter with the full text of free posts, the date, the paywall flag and the likes.
• Google News Scraper — Google News articles by keyword or topic in 84 regions and languages, with the publisher, the date and the publisher's own article URL.

This page is generated from the Actor's schemas and a live sample — it cannot describe a field the Actor does not have.