Tennis Abstract Scraper - ATP & WTA Rankings, Elo Ratings & Player Stats

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

Scrape structured ATP and WTA tennis data from Tennis Abstract: official rankings, Elo ratings with hard / clay / grass surface splits, and full player profiles with career match history. No login, no API key, no browser - just clean JSON, CSV or Excel.

Why this actor exists (demand): the tennis-data niche on Apify Store draws ~1,750 monthly users across a fragmented field of single-purpose scrapers (leader ~988 users/30d, no reviews). This actor consolidates rankings, Elo and player stats into one reliable, richly-typed export - the data tennis analysts, bettors, journalists and model builders actually ask for.

What you can scrape

Mode	What you get	Record type
Rankings	The current official ATP or WTA ranking table - rank, player, country, birthdate, age.	ranking
Elo ratings	Tennis Abstract Elo - overall Elo, surface-specific Elo (hard / clay / grass) with per-surface ranks, peak Elo and peak month, and the matching ATP/WTA rank. This is the premium signal you cannot get from the official tour sites.	eloRating
Players	Full player profiles: current & peak rank, date of birth, height, plays (right/left), backhand (one/two-handed), country, Elo, ATP/ITF/Wikipedia ids, Twitter, and a career win/loss summary. Optionally every match (date, tournament, surface, level, round, score, opponent + opponent rank/country).	player, match

Example input

Top 100 ATP Elo ratings with surface splits:

{ "mode": "elo", "tour": "atp", "maxResults": 100 }

Current WTA rankings:

{ "mode": "rankings", "tour": "wta", "maxResults": 150 }

Player profiles + recent matches (ATP and WTA in one run):

{ "mode": "players", "players": ["Carlos Alcaraz", "Iga Swiatek", "Novak Djokovic"], "includeMatches": true, "maxMatchesPerPlayer": 50 }

Players resolve against Tennis Abstract's official index and are matched exactly - a misspelled name is skipped, never silently swapped for the wrong player. You can also pass Tennis Abstract player URLs, or import a list of names / URLs from a pasted block or a linked .txt/.csv/Google Sheet via Import players from a file.

Output fields (highlights)

• ranking: rank, player, country, birthDate, age, tour, playerUrl
• eloRating: rank, player, elo, hardElo, clayElo, grassElo, peakElo, peakEloMonth, atpRank, per-surface ranks
• player: name, country, currentRank, peakRank, birthDate, heightCm, hand, backhand, eloRating, matchCount, wins, losses, winPct, atpId, itfId, wikiId, twitter
• match: date, tournament, surface, level, round, result, score, opponent, opponentRank, opponentCountry, plus raw serve/return stats

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

Use with AI assistants (MCP)

This actor is available through the Apify MCP server, so assistants like Claude can call it as a tool - ask for "the top 20 ATP Elo ratings" or "Carlos Alcaraz's last 10 matches" 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 (the more you pull, the lower the per-row price): ranking / Elo rows from $0.002, player profiles from $0.004, match records from $0.001 - dropping to a quarter of that at the top tier. You pay only for rows actually returned.

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/tennis-scraper').call({
    "mode": "elo",
    "tour": "atp",
    "maxResults": 50
});

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

Where does the data come from? Tennis Abstract (tennisabstract.com), the public tennis-statistics site maintained by Jeff Sackmann. This actor reads its public pages and data files; it does not use any private API.

Is it reliable? Yes - the source is a plain public site with no anti-bot, and the actor self-limits its runtime so it never times out, fails gracefully on any transient error, and returns partial data with an explanation rather than crashing.

Note on match recency: ATP match history is current; WTA structured match history reflects Tennis Abstract's published match files, so check the date on each match for recency.

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This is an independent scraper for publicly available data. It is not affiliated with, endorsed by, or sponsored by Tennis Abstract, the ATP, the WTA, or any related organization. "Tennis Abstract", "ATP" and "WTA" are trademarks of their respective owners and are used here for descriptive purposes only. Use the data in compliance with the source's terms and applicable law.

Disclaimer

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

"Tennis Abstract" 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 Tennis Abstract product, is not authorised or certified by Tennis Abstract, and does not distribute Tennis Abstract 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.