Tennis Results & Odds Scraper

Tennis Results and Odds Scraper: ATP, WTA, Challenger and ITF, day by day

Pick the days you want and you get one row per match: tour, level, tournament, surface, round, both players, the set scores with tiebreak points, the winner, and the average odds. Matches that have not been played yet come back too, with their odds and head to head.

Retirements are worked out from the score, because TennisExplorer never writes the word in its results. That is right almost always, and wrong in one shape: a best-of-five match abandoned between two completed sets reads as a finished win.

🔍 What Tennis Results and Odds Scraper does

It reads TennisExplorer's day pages one at a time and turns each listed match into a row. Yesterday only, a fixed range back to 1990, or today and tomorrow's schedule. Up to 366 days in one run.

Filters cut the list before anything is charged: match type, level, surface, a tournament name or link, or a player's surname or link. A player filter keeps the match when either side matches, doubles partners included.

Two optional passes add depth and cost time. Round reads each tournament's page once and is on. Match details opens every match's own page for full names, rankings, birth dates, height, playing hand and each bookmaker's opening and closing prices.

The run also writes a RUN_REPORT to the key-value store: which days were read, how many matches each day listed against how many came back, and why the run stopped.

📥 What you give it

{
  "lastDays": 1,
  "upcomingDays": 1,
  "matchTypes": ["atp-single", "wta-single"],
  "levels": ["tour"],
  "maxMatches": 500
}

Give no days at all and you get one labelled sample row, not an error and not an empty dataset.

Dates are Prague dates. A final starting at 23:40 in Barranquilla sits on the next day's page. startTimeUtc on every row gives you the real instant.

📤 What you get back

A real row from a recent run:

{
  "matchId": "3321413",
  "date": "2026-09-13",
  "time": "20:20",
  "startTimeUtc": "2026-09-13T18:20:00Z",
  "status": "finished",
  "outcome": "completed",
  "tour": "ATP",
  "matchType": "singles",
  "level": "tour",
  "tournament": "US Open",
  "tournamentCountryCode": "US",
  "surface": "hard",
  "round": "final",
  "player1": "Zverev A.",
  "player1Seed": "1",
  "player2": "Shelton B.",
  "player2Seed": "8",
  "winner": "Zverev A.",
  "score": "6-3, 7-6(2), 5-7, 6-2",
  "player1Sets": 3,
  "player2Sets": 1,
  "sets": [
    { "player1": 6, "player2": 3, "tiebreak": null },
    { "player1": 7, "player2": 6, "tiebreak": 2 },
    { "player1": 5, "player2": 7, "tiebreak": null },
    { "player1": 6, "player2": 2, "tiebreak": null }
  ],
  "player1Odds": 1.66,
  "player2Odds": 2.24,
  "player1H2H": null,
  "player2H2H": null,
  "player1Url": "https://www.tennisexplorer.com/player/zverev-6f768/",
  "player2Url": "https://www.tennisexplorer.com/player/shelton-38989/",
  "tournamentUrl": "https://www.tennisexplorer.com/us-open/2026/atp-men/",
  "url": "https://www.tennisexplorer.com/match-detail/?id=3321413"
}

On doubles with details on, the full names join both partners and the single-player facts stay null. The match page stacks one table per pair, so there is no single player to rank.

🧾 Reading the output

Two kinds of row can land in your dataset.

There are no diagnostic rows here. Anything that went wrong is in the run's status message, and in full in RUN_REPORT: days that could not be read, matches left out, and rounds that were missing.

stoppedBecause in that report says why the run ended.

The run fails outright rather than half-delivering when the input cannot work: a bad date, a range over 366 days, or a charge budget too small for one match.

▶️ How to run it

1. Open Tennis Results and Odds Scraper and click Try for free. 2. Set Last days to 1 for yesterday, or Upcoming days to 1 for today's schedule. From date and To date give a fixed range instead. 3. Narrow it with Match types, Levels, Surfaces, Tournaments or Players. 4. Set Maximum matches. Start around 20 to see the output shape, then click Start. 5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.95 per 1,000 matches. Flat on every Apify plan, no volume tiers.

You pay per match row delivered. The sample row is free, and so is anything that never reaches your dataset: a match dropped by a filter, one still being played, a repeat, a day with no matches, and a row the parser could not read. A match whose detail page would not load is delivered without its details and not charged.

💡 What people use it for

• Running it daily with Last days on 1, so each run picks up only yesterday's results.
• Pulling a player's whole season by surname and checking the odds against the result.
• Watching tomorrow's schedule with odds and head to head before the day starts.
• Pulling a full Grand Slam by name, with set scores and tiebreak points per match.

🚧 What it does not do

• No live scores. A match being played is left out rather than delivered with a partial score.
• Retirements are read from the score. A best-of-five match abandoned between two completed sets

reads as a completed win.

• Men's ITF matches come thin. TennisExplorer lists them under one Futures heading with no

link, so they have no tournament name, surface or round unless match details are on, and a surface filter drops them.

• UTR events have no round, whatever you set.
• The schedule runs a day or two ahead, no further. That is how far TennisExplorer publishes.
• Finished days get edited afterwards. A match can leave a past day's list hours later, so two

runs over one day can differ.

• Match details cap a run at 2,000 matches and add a page per match. Player countries add a page

per player.

• Level is TennisExplorer's own split. Some WTA 125 events sit in its lower level rather than

under tour.

• It reads one page a second, so a long range takes real time. Turn rounds off to speed it up.

🧭 Which sports data scraper do you need?

❓ Questions people ask

How far back can I go? To 1990-01-01. One run covers up to 366 days, so split a longer history into several.

Can I get just one player? Put the surname as TennisExplorer writes it into Players, or paste their page link. The match is kept when either side matches.

Do I get odds on finished matches? Yes, the last average prices before it started. With match details on you also get each bookmaker's opening and closing prices.

Why is round empty on some rows? Men's ITF and UTR matches have no tournament page to read it from.

Why is my date off by a day? The date is TennisExplorer's, on Prague time. Use startTimeUtc when the exact moment matters.

Is scraping match results legal? These are public sports results, and a score is a fact nobody owns. TennisExplorer's own site terms still apply to its pages, so read them and decide what suits your use. Apify's write-up on scraping and the law is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the dates and filters you used and the run ID. The RUN_REPORT in the run's key-value store usually explains it on its own.