Euronext Scraper

Scrape stock prices, market data, and financial metrics from Euronext -- Europe's largest stock exchange operating in Amsterdam, Paris, Brussels, Lisbon, Dublin, Oslo, and Milan.

How to scrape Euronext data

Euronext is the leading pan-European stock exchange, listing thousands of equities, ETFs, bonds, and derivatives across 7 countries. This actor extracts structured market data from Euronext's live quotes platform without any login or cookies required.

1. Go to the actor's input page.
2. Enter a search query (e.g., "ASML", "TotalEnergies", "Shell", "Unilever") or provide a direct instrument URL.
3. Optionally select a specific exchange (Amsterdam, Paris, Brussels, Lisbon, Dublin, Oslo, or Milan).
4. Set the maximum number of results you want.
5. Click "Start" and wait for the run to finish.
6. Download your data in JSON, CSV, or Excel format.

The actor searches Euronext just like a regular user would, navigates to instrument detail pages, and extracts comprehensive market data including prices, volume, market cap, P/E ratios, and dividend yields.

Features

• Search stocks and ETFs across all 7 Euronext exchanges
• Filter by specific exchange (Amsterdam, Paris, Brussels, Lisbon, Dublin, Oslo, Milan)
• Scrape individual instrument pages by URL
• Extracts 20+ data fields per instrument: price, change, volume, market cap, P/E, dividend yield, 52-week range, and more
• ISIN and MIC codes for professional data matching
• Automatic pagination for large result sets
• Multi-strategy DOM extraction for reliable data capture
• No cookies or login required
• Residential proxy support for reliable access

Input options

Field	Type	Description	Default
searchQuery	String	Stock ticker or company name to search	"ASML"
exchange	Select	Target exchange: all, amsterdam, paris, brussels, lisbon, dublin, oslo, milan	"all"
instrumentUrl	String	Optional: direct Euronext instrument page URL	--
maxResults	Integer	Maximum number of instruments to return (1-5,000)	50
proxyConfiguration	Object	Proxy settings -- residential proxies recommended	NL residential

Example input

{
    "searchQuery": "ASML",
    "exchange": "amsterdam",
    "maxResults": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "NL"
    }
}

Scraping a specific instrument

You can scrape a specific instrument page directly by providing the instrumentUrl:

{
    "instrumentUrl": "https://live.euronext.com/en/product/equities/NL0010273215-XAMS",
    "maxResults": 1
}

Scraping a full exchange listing

To scrape all equities listed on a specific exchange:

{
    "searchQuery": "a",
    "exchange": "brussels",
    "maxResults": 500
}

Output fields

Field	Type	Description
ticker	String	Stock ticker symbol (e.g., ASML, TTE)
companyName	String	Full company name as listed
isin	String	International Securities Identification Number
exchange	String	Exchange name (e.g., Euronext Amsterdam)
mic	String	Market Identifier Code (XAMS, XPAR, XBRU, etc.)
lastPrice	Number	Last traded price
currency	String	Trading currency (EUR, NOK, GBP)
changePercent	Number	Price change percentage from previous close
changeAbsolute	Number	Absolute price change
openPrice	Number	Opening price for the trading day
highPrice	Number	Day high price
lowPrice	Number	Day low price
volume	Number	Number of shares traded
turnover	Number	Total trading turnover
marketCap	String	Market capitalization
peRatio	Number	Price-to-earnings ratio
dividendYield	Number	Dividend yield percentage
high52w	Number	52-week high price
low52w	Number	52-week low price
previousClose	Number	Previous close price
marketStatus	String	Market trading status
lastTradedTime	String	Timestamp of the last trade
instrumentType	String	Type of instrument (Stock, ETF)
url	String	Euronext instrument page URL
scrapedAt	String	ISO 8601 timestamp

Example output

{
    "ticker": "ASML",
    "companyName": "ASML HOLDING",
    "isin": "NL0010273215",
    "exchange": "Euronext Amsterdam",
    "mic": "XAMS",
    "lastPrice": 725.40,
    "currency": "EUR",
    "changePercent": 1.25,
    "changeAbsolute": 8.95,
    "openPrice": 718.00,
    "highPrice": 728.50,
    "lowPrice": 716.20,
    "volume": 1234567,
    "marketCap": "285.6B EUR",
    "peRatio": 38.5,
    "dividendYield": 0.82,
    "high52w": 1021.00,
    "low52w": 594.60,
    "previousClose": 716.45,
    "instrumentType": "Stock",
    "url": "https://live.euronext.com/en/product/equities/NL0010273215-XAMS",
    "scrapedAt": "2026-06-09T14:30:00.000Z"
}

Supported exchanges

Exchange	MIC	Currency	Country
Euronext Amsterdam	XAMS	EUR	Netherlands
Euronext Paris	XPAR	EUR	France
Euronext Brussels	XBRU	EUR	Belgium
Euronext Lisbon	XLIS	EUR	Portugal
Euronext Dublin	XMSM	EUR	Ireland
Oslo Bors (Euronext Oslo)	XOSL	NOK	Norway
Borsa Italiana (Euronext Milan)	XMIL	EUR	Italy

Cost estimate

The actor uses PlaywrightCrawler (browser-based rendering) because Euronext loads market data dynamically.

• 1-10 instruments: approximately $0.05-0.10 in platform costs
• 50 instruments: approximately $0.20-0.50 in platform costs
• 500 instruments: approximately $1-3 in platform costs
• Residential proxy usage adds to the cost depending on data transfer

For most use cases, a single run costs under $1.

Limitations

• Euronext may rate-limit aggressive scraping -- use residential proxies for best results.
• Market data reflects delayed quotes from live.euronext.com (typically 15 minutes delayed for free access).
• Some data fields (P/E ratio, dividend yield, market cap) may not be available for all instruments.
• The actor works with Euronext's public pages. Real-time data requires a paid Euronext data subscription.
• The HTML structure of live.euronext.com may change without notice, which could temporarily affect extraction.

Tips for best results

• Use ticker symbols -- "ASML" is more precise than "ASML Holding"
• Filter by exchange -- selecting a specific exchange reduces noise from cross-listed instruments
• Direct URLs for known instruments -- use instrumentUrl when you know the exact ISIN and MIC
• Match proxy country -- use NL proxies for Amsterdam, FR for Paris, NO for Oslo, etc.
• Start small -- test with maxResults: 5 before running large scrapes

Use cases

• Portfolio monitoring -- track holdings across European exchanges
• Market research -- analyze equities listed on specific Euronext markets
• Financial data enrichment -- add ISIN, MIC, and market data to investment databases
• Screening -- find stocks matching specific criteria across pan-European listings
• Cross-listing analysis -- compare pricing of the same stock across multiple Euronext venues
• Dividend tracking -- monitor dividend yields across European blue-chip stocks