Stock Market Data Scraper — Quotes, Fundamentals & Technical Signals to CSV

Export live stock quotes with market cap, P/E ratio, beta, revenue, performance across six timeframes and technical signals on four timeframes — for US, UK, German, Japanese, Indian, Brazilian and 50+ other exchanges, plus indices, commodity futures and FX crosses. Straight to CSV, Excel, JSON or Google Sheets.

No API key. No subscription. No rate-limit tier to negotiate.

What you get per instrument

Field	Example
symbol, name	MU — Micron
last, changeOneDay, changeOneDayPercent	234.51, +5.22, +2.28%
high, low	intraday range
volumeOneDay, avgVolume, volumeThreeMonths	33,293,743
marketCap	1200000000000
peRatio, beta	14.05, 2.23
revenue	133.19B
fairValue, fairValueUpsidePercent	model valuation where published
performanceDay … performance3Year	day, week, month, YTD, 1Y, 3Y
changeOneMonthPercent, changeOneYearPercent	+7.3, +446.07
technicalHour, technicalDay, technicalWeek, technicalMonth	Strong Buy / Buy / Neutral / Sell
country, countryCode, exchangeId	United States, US
isMarketOpen, isCFD, lastUpdated	session state
instrumentUrl, instrumentId	stable links and ids
sourceCollection, scrapedAt	provenance on every row

37 fields per row, and none of them are padding. Measured over a 481-instrument sweep: 36 fields came back populated on 90% or more of rows.

Twelve columns the site keeps behind its own subscription return null on every single row — analyst recommendations, profit margin, quick and current ratios, next earnings date. This Actor does not export them. A dozen guaranteed-empty columns in your CSV is not a feature.

How deep does it go

Each market page is a complete quote table, and they are not paginated — so depth comes from sweeping tables, not pages:

Table	Instruments
/equities/japan	225
/currencies/single-currency-crosses	199
/equities/united-kingdom	100
/equities/brazil	77
/equities/52-week-high	76
/equities/most-active-stocks	50
/indices/major-indices	46

Measured: 13 tables returned 1,007 instruments in one sweep. There are 50+ country exchange pages plus screeners, indices, futures and FX — so a run reaching several thousand rows is a matter of listing more tables.

Use cases

• Quant screening and backtest universes — pull a whole exchange with market cap, P/E, beta and six performance windows in one file.
• Portfolio monitoring — schedule a daily run over your watchlist tables and diff the output.
• Cross-market comparison — the same 37 columns for Tokyo, London, Frankfurt, Mumbai and São Paulo, so country comparisons need no normalisation.
• Technical screens — four technical-signal timeframes per instrument lets you filter for agreement across hourly, daily, weekly and monthly.
• Market dashboards and newsletters — indices, futures and FX in the same schema as equities.
• Sheets and Excel models — numbers arrive typed, not as formatted strings with thousands separators.

Input

{
  "collections": [
    "/equities/most-active-stocks",
    "/equities/top-stock-gainers",
    "/equities/japan",
    "/indices/major-indices",
    "/commodities/real-time-futures"
  ],
  "maxResults": 5000,
  "minMarketCap": 0
}

• collections — market listing paths. Browse the site, copy the URL of any quote table and paste it; the path is taken from it automatically.
• maxResults — hard stop across all tables.
• minMarketCap — keep only instruments at or above a capitalisation. Leave at 0 to include indices and futures, which carry none.

Output

{
  "symbol": "MU",
  "name": "Micron",
  "last": 234.51,
  "changeOneDayPercent": 2.28,
  "marketCap": 1200000000000,
  "peRatio": 14.05,
  "beta": 2.23,
  "revenue": "133.19B",
  "performanceYear": 446.07,
  "performance3Year": 312.4,
  "technicalDay": "Strong Buy",
  "technicalWeek": "Buy",
  "country": "United States",
  "countryCode": "US",
  "instrumentUrl": "https://www.investing.com/equities/micron-tech",
  "sourceCollection": "/equities/most-active-stocks",
  "scrapedAt": "2026-10-07T12:00:00.000Z"
}

No API key needed

Quote tables are rendered into the page payload, so this Actor reads them as typed JSON rather than parsing formatted table cells. That is why marketCap arrives as 1200000000000 instead of "1.2T", and why peRatio and beta are numbers you can sort on immediately.

Exporting

Results land in a dataset you can download as CSV, Excel (XLSX), JSON, JSONL, XML or RSS, read through the Apify API, or push into Google Sheets, Airtable, BigQuery, Make or Zapier. Schedule it daily and append to a time series.

Proxy and reliability

This site refuses datacenter addresses, and a plain residential exit answered only one request in three. The UNBLOCKER group answered every request in testing and is the default — do not switch it to datacenter expecting it to work.

When an exit address is refused it is replaced within 250 ms rather than waited out; a rate-limit response is the opposite case and backs off instead. An unreachable table is skipped, not treated as the end of the run. Every run prints a summary naming the outcome — COMPLETED, NO_MATCHES or FETCH_FAILED — and how many rows each table produced, so a short result is never a mystery.

Keywords

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Legal

This Actor reads only publicly visible market pages — no login, no paywalled content, no personal data. Quotes and fundamentals are facts about publicly traded instruments. Market data may be delayed; it is not investment advice and is not suitable as an execution feed. Check the source site's terms and your own regulatory obligations before redistributing market data commercially.

Not affiliated with, endorsed by, or connected to Investing.com or Fusion Media. All trademarks belong to their owners and are referenced only to describe which public pages this tool reads.

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