TennisExplorer Scraper - Results, Odds, Fixtures & Rankings

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by TennisExplorer or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "TennisExplorer" is referenced only to describe the publicly available website this Actor collects data from.

Scrape tennis match results, upcoming fixtures and rankings from TennisExplorer.com - the site tennis bettors and analysts use for day-by-day ATP and WTA data. Pick a date range and get every finished match with set-by-set scores, tiebreak points, the winner and the bookmaker odds the match closed at; pick upcoming days and get the schedule with head-to-head counts and pre-match odds; or pull the current ATP or WTA ranking table with points and weekly movement. No login, no API key, no browser - JSON, CSV or Excel.

Why this actor exists (demand): the TennisExplorer niche on Apify draws ~180 monthly users, almost all on one results-only actor with no reviews. This one covers results, fixtures and rankings, keeps the odds and tiebreaks the site shows, and adds implied probabilities - the inputs a betting model or a tennis-stats project actually needs.

Modes

Mode	What you get	Record
results	Finished matches for each day in the range: tournament (with country and tour), players (with seeds and profile URLs), sets won, per-set games with tiebreak points, winner, closing odds for both players, implied probabilities, match-detail URL	match (status: finished)
upcoming	Scheduled matches for each day: time, tournament, players, head-to-head counts, pre-match odds and implied probabilities, match-detail URL	match (status: upcoming)
rankings	The current ATP or WTA ranking table: rank, weekly movement, player, country, points, ranking date, profile URL	ranking

Tour filter for results / upcoming: ATP + WTA singles, ATP singles only, or WTA singles only.

Input

Results for a week of the US Open, both tours:

{ "mode": "results", "tour": "all", "dateFrom": "2026-08-25", "dateTo": "2026-08-31", "maxResults": 2000 }

Tomorrow's WTA schedule with odds and H2H:

{ "mode": "upcoming", "tour": "wta-single", "dateFrom": "2026-09-03" }

Top 200 ATP ranking:

{ "mode": "rankings", "rankingTour": "atp", "maxResults": 200 }

• Date from / Date to - YYYY-MM-DD, inclusive, up to 60 days per run. Results default to yesterday, upcoming to today.
• Max records - caps matches or ranking rows across the run.

Leave everything empty and the run returns a small free sample (yesterday's results, all tours, up to 100 matches).

Example output (match)

{
  "type": "match",
  "status": "finished",
  "date": "2026-08-31",
  "time": "23:45",
  "tournament": "US Open",
  "tournamentUrl": "https://www.tennisexplorer.com/us-open/2026/atp-men/",
  "tournamentCountry": "US",
  "tour": "ATP",
  "player1": "Khachanov K.",
  "player1Url": "https://www.tennisexplorer.com/player/khachanov/",
  "player1Seed": null,
  "player2": "Burruchaga R.",
  "player2Url": "https://www.tennisexplorer.com/player/burruchaga/",
  "setsPlayer1": 3,
  "setsPlayer2": 0,
  "score": "6-3 6-0 6-1",
  "sets": [{ "set": 1, "player1": 6, "player2": 3, "tiebreak": null }, { "set": 2, "player1": 6, "player2": 0, "tiebreak": null }, { "set": 3, "player1": 6, "player2": 1, "tiebreak": null }],
  "winner": "Khachanov K.",
  "oddsPlayer1": 1.25,
  "oddsPlayer2": 3.98,
  "impliedProbPlayer1": 80,
  "impliedProbPlayer2": 25.13,
  "matchId": "3307389",
  "matchUrl": "https://www.tennisexplorer.com/match-detail/?id=3307389",
  "scrapedAt": "2026-09-02T06:00:00.000Z"
}

ranking records: rank, move, player, playerUrl, country, points, tour, rankingDate.

Match details (opt-in)

Turn on Add match details (results / upcoming) to open each match's detail page and enrich the record with:

• Head-to-head - the career H2H record (h2hPlayer1Wins / h2hPlayer2Wins) plus h2hMeetings[]: every prior meeting with year, tournament, surface, round, score and winner.
• Player comparison - player1Detail / player2Detail: singles ranking, birthdate, height, weight and playing hand.
• All bookmaker odds - oddsBookmakers[] (up to 30 books with each player's price), bestOddsPlayer1/2 and avgOddsPlayer1/2 across the market, oddsBookmakerCount, and oddsMarketCounts (how many Home-Away, Over-Under, Asian-Handicap and Correct-Score lines the match has). The listing-level oddsPlayer1/2 remain the single closing price.

One extra request per match, so cap it with Max match details (default 200). TennisExplorer does not publish per-point serve statistics (aces, first-serve %), so those are not available from any lane.

Use cases

• Betting models - closing odds and implied probabilities alongside the actual result, day by day, for both tours.
• Tennis analytics - set scores with tiebreak points for surface, form and momentum studies; ranking movement over time when scheduled weekly.
• Fixture feeds - tomorrow's schedule with H2H and odds for previews, newsletters and apps.
• Player tracking - filter the dataset by player1 / player2 or profile URL to follow specific players through a tournament.

Notes and limits

• Doubles are not included (TennisExplorer lays doubles out differently); Challenger, ITF and qualifying singles that TennisExplorer lists on the day pages are included.
• Odds are the two decimal prices TennisExplorer shows per match (home / away); a missing odd is an honest null.
• Match statistics (aces, serve percentages) live on each match-detail page and are not part of this version.

Use with AI assistants (MCP)

This actor is available through the Apify MCP server, so assistants like Claude can call it as a tool - "give me yesterday's WTA results with the odds" - and get structured data back.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready - AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 - an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server - no account, no API key.
• Skyfire - agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

Pricing

Pay-per-event, tiered by volume: match records from $0.0015 (down to $0.00083 on the Gold tier and above) and ranking rows from $0.001 (down to $0.00055). You pay only for records actually returned; days with no matches and blocked requests cost nothing.

Every run finishes with a clear status message; empty runs never crash and never bill.

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TennisExplorer is a trademark of its owner. This actor is an independent tool that reads publicly available pages and is not affiliated with or endorsed by TennisExplorer.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly, daily or weekly and keep your dataset current.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/tennisexplorer-scraper').call({
    "mode": "results",
    "tour": "all",
    "maxResults": 500
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new records straight into your CRM or spreadsheet.
• Slack - get notified when a scheduled run finds something new.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

FAQ

How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.

Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.

Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.

Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.

Is it legal to scrape TennisExplorer? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See the Disclaimer below.

Is this an official TennisExplorer tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from TennisExplorer. See the Disclaimer below.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by TennisExplorer or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"TennisExplorer" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official TennisExplorer product, is not authorised or certified by TennisExplorer, and does not distribute TennisExplorer software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.