OddsPortal Scraper

🚀 OddsPortal Scraper

Extract fixtures, results and betting odds from OddsPortal.com in structured JSON. The OddsPortal Scraper pulls every bookmaker's price for a match — not just the average — along with final scores, payout percentages and full market books with opening and closing lines, across football, tennis, basketball, hockey, MMA and 15 more sports.

Paste a league URL, hit run, and get a clean dataset. Running it on Apify means you also get scheduled runs, an API, webhooks, integrations with Google Sheets, Zapier and Make, automatic proxy rotation, and run monitoring — no infrastructure to maintain.

✨ Features

• 🏆 Every bookmaker, not just the average — average odds, best odds, which bookmaker offers them, each bookmaker's individual price and its payout percentage.
• 📅 Upcoming fixtures — kick-off times, venues, teams, team pages and live match-winner odds.
• 📚 Historical results archive — final scores, half-time scores, winners and closing odds going back 20+ seasons, one season per URL.
• 🎯 Full market books — Over/Under, Asian Handicap, Correct Score, Both Teams to Score, Double Chance, Draw No Bet, HT/FT, European Handicap, Odd/Even and more, across full time, 1st half and 2nd half.
• 📈 Line movement — opening odds with timestamps and closing odds per bookmaker, so you can measure how the market moved.
• 🌍 Choose your bookmaker region — the proxy country decides which bookmakers you see; the default returns the widest international selection.
• ⚡ Fast and lightweight — hundreds of matches per minute, no browser required.

💡 Why use the OddsPortal Scraper?

• Build and backtest betting models on decades of results paired with the odds that were actually available.
• Find value and arbitrage by comparing every bookmaker's price on the same market side by side.
• Track closing line value (CLV), the single best predictor of long-term betting edge, using opening→closing prices per bookmaker.
• Power odds-comparison sites and dashboards with a scheduled feed of upcoming fixtures.
• Research bookmaker margins using the payout percentages returned with every price.

🛠️ How to use the OddsPortal Scraper

1. Pick your league URLs. Copy a league page from OddsPortal, e.g. https://www.oddsportal.com/football/england/premier-league/ for upcoming fixtures. Add /results/ for finished matches, or use a season URL such as https://www.oddsportal.com/football/england/premier-league-2024-2025/results/ for history.
2. Set the match limit. maxItems caps how many matches you get across all URLs.
3. Optionally enable all betting markets. Turn on scrapeMatchMarkets if you need the full market book per match rather than just match-winner odds.
4. Run it. Results appear in the dataset and can be downloaded as JSON, CSV, Excel, HTML or XML, or pulled from the API.

📥 Input

Field	Type	Description
startUrls	array	OddsPortal league URLs. Plain league URL → upcoming fixtures. /results/ URL → finished matches with scores and closing odds.
maxItems	integer	Maximum number of matches to return across all start URLs. Default 50.
scrapeMatchMarkets	boolean	Also collect every betting market per match with opening and closing odds. Slower and billed separately. Default false.
proxyConfiguration	object	Proxy for the run. The proxy country decides which bookmakers appear — Malta (default) gives the widest international list; UK, Germany or US return that country's licensed bookmakers.

Example input:

{
    "startUrls": [
        { "url": "https://www.oddsportal.com/football/england/premier-league/" },
        { "url": "https://www.oddsportal.com/football/spain/laliga-2024-2025/results/" }
    ],
    "maxItems": 200,
    "scrapeMatchMarkets": false,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "MT"
    }
}

📊 Sample output data

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

[
    {
        "matchId": 8877479,
        "eventId": "jubPoemo",
        "url": "https://www.oddsportal.com/football/h2h/brighton-2XrRecc3/chelsea-4fGZN2oK/#jubPoemo",
        "sport": "Football",
        "country": "England",
        "league": "Premier League 2025/2026",
        "homeTeam": "Brighton",
        "awayTeam": "Chelsea",
        "startTime": "2026-04-21T19:00:00.000Z",
        "status": "Finished",
        "isFinished": true,
        "result": "3:0",
        "partialResult": "1:0, 2:0",
        "winner": "home",
        "venue": "Amex Stadium",
        "venueTown": "Brighton",
        "bookmakerCount": 8,
        "odds": {
            "home": { "average": 2.3, "highest": 2.45, "highestBookmaker": "bet365", "bookmakerCount": 8 },
            "draw": { "average": 3.45, "highest": 3.6, "highestBookmaker": "1xBet", "bookmakerCount": 8 },
            "away": { "average": 3.12, "highest": 3.15, "highestBookmaker": "Betfair Exchange", "bookmakerCount": 8 }
        },
        "bookmakerOdds": [
            { "bookmakerId": 163, "bookmaker": "bet365", "payout": 96.2, "home": 2.45, "draw": 3.5, "away": 3.1 },
            { "bookmakerId": 502, "bookmaker": "1xBet", "payout": 94.7, "home": 2.25, "draw": 3.6, "away": 3.15 }
        ]
    }
]

With scrapeMatchMarkets enabled, each match additionally carries a markets array:

{
    "markets": [
        {
            "market": "Over/Under",
            "marketId": 2,
            "scope": "Full Time",
            "handicap": 2.5,
            "bookmakers": [
                {
                    "bookmakerId": 163,
                    "bookmaker": "bet365",
                    "closingOdds": { "over": 1.37, "under": 2.85 },
                    "openingOdds": { "over": 1.3, "under": 3.1 },
                    "openingTime": { "over": "2026-04-11T16:14:55.000Z", "under": "2026-04-11T16:14:55.000Z" }
                }
            ]
        }
    ]
}

📋 Data fields

Field	Description
matchId, eventId	Numeric and short identifiers for the match
url	Link to the match page on OddsPortal
sport, country, league, leagueUrl	Competition the match belongs to
homeTeam, awayTeam, homeTeamUrl, awayTeamUrl	Teams and their pages
startTime, startTimestamp	Kick-off in ISO 8601 and Unix seconds
status, isFinished	Scheduled, Finished, Postponed, etc.
result, partialResult, winner	Final score, period scores, and home / draw / away
venue, venueTown, venueCountry	Where the match is played
bookmakerCount	How many bookmakers priced the match
odds	Average odds, best odds and best-odds bookmaker per outcome
bookmakerOdds	One row per bookmaker with its price for each outcome and its payout %
markets	Every betting market and scope, with opening and closing odds per bookmaker (only when scrapeMatchMarkets is on)

💰 How much does it cost to scrape OddsPortal?

The scraper uses pay per event pricing, so you only pay for the data you actually get:

Event	Price	What it covers
Actor start	$0.005	Charged once per run
Match with odds	$0.003	One fixture or result with per-bookmaker match-winner odds
Full market book	$0.02	Every betting market for a match, with opening and closing odds (only when scrapeMatchMarkets is on)

A typical league sweep of 380 finished matches with closing odds costs about $1.15. The same 380 matches with every betting market included costs around $8.75. Apify's free tier includes $5 of monthly usage, enough to try the scraper on several full seasons.

⚙️ Tips and advanced options

• Leave scrapeMatchMarkets off unless you need markets beyond the match winner — it is roughly 30× more requests per match and is billed separately.
• Season URLs are the cheapest way to build history. Open any league's results page, use the season dropdown to get its URL, and add those URLs to startUrls.
• Bookmaker coverage depends on the proxy country. Malta and Australia return the widest international list. A UK proxy returns UK-licensed books, a German proxy German ones, and so on. Datacenter proxies return only a small US selection, so residential is recommended.
• Older seasons have fewer bookmakers. Results go back a long way, but multi-bookmaker odds realistically start around 2008–2010.
• Schedule it. Run daily against upcoming-fixtures URLs to build your own odds-movement history over time.

❓ FAQ

Which sports are supported? All of them: football, tennis, basketball, hockey, American football, baseball, handball, rugby, volleyball, cricket, darts, boxing, MMA, esports and more. Any league page on OddsPortal works.

How far back does the historical data go? Results for major leagues go back 20+ seasons. Add one season URL per season you want.

Can I get tick-by-tick odds movement? The scraper returns opening odds with timestamps and closing odds for every bookmaker, which is what closing-line-value analysis needs. Intermediate ticks between open and close are not publicly available.

Why do I see different bookmakers than on the website? OddsPortal shows different bookmakers depending on where you connect from. Change apifyProxyCountry in the proxy settings to target a specific market.

Is scraping OddsPortal legal? The scraper only collects publicly available data and stores no personal information. That said, OddsPortal's robots.txt asks crawlers not to access these pages, and its Terms of Service apply to you as the operator of the run. You are responsible for making sure your use complies with applicable law and terms — consult a lawyer if you are unsure.

Something is broken or missing. Open an issue on the Actor's Issues tab and it will be looked at. Custom variants and bulk extractions can also be arranged.

Start extracting OddsPortal odds today! 🚀