Tennis Abstract Player Match Scraper

Tennis Abstract Player Match Scraper

Scrape Tennis Abstract player match histories by player slug, up to a million records per run. Every match comes with its score, surface, round, opponent, and match statistics. No login or API key. Export to CSV, JSON, Excel, or XML.

Tennis Abstract's official site has no public API, and manual copying of match histories is slow and error-prone. This reads the public player pages directly, filtered by player slug, and returns each match in one fixed schema.

Who uses it	What they scrape Tennis Abstract for
Tennis analysts	Which surfaces and rounds a player performs best on
Sports bettors	Recent form and head-to-head records before placing a bet
Journalists	Match statistics for player profiles and tournament previews
Data scientists	Building predictive models from historical match data

What it does

This Actor collects Tennis Abstract player match histories by player slug and returns each match as a flat row.

• 🎾 Player match history: scrape every ATP or WTA match for a player slug like NovakDjokovic or IgaSwiatek.
• 📊 Match statistics: each row includes score, surface, round, opponent, and detailed serve and return stats.
• 🔢 Scalable collection: set maxItems from 1 to 1,000,000 records per run.
• 📁 Multiple export formats: download as CSV, JSON, Excel, or XML.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Tennis Abstract data

📈 Track player performance.

A tennis analyst scrapes NovakDjokovic's match history to see his win rate on clay versus hard courts over the last five years.

🎯 Build betting models.

A sports bettor scrapes recent matches for CarlosAlcaraz and JannikSinner to compare their form before a head-to-head.

📰 Write player profiles.

A journalist scrapes IgaSwiatek's match history to pull statistics for a tournament preview article.

🧪 Train predictive models.

A data scientist scrapes thousands of matches across players to build a model that predicts match outcomes.

Why choose this scraper

	What you get
No API key	Reads public Tennis Abstract pages directly, no registration or OAuth.
Fixed schema	Every match returns the same fields, ready for analysis.
Player-focused	Get a complete match history for any player with a valid slug.

How it compares

This Actor focuses on scraping a single player's match history from Tennis Abstract with a simple player slug input, while competitors may offer broader sources or additional features.

Feature	ParseForge	Tennis Abstract Player Match Scraper & API	Tennis Abstract Player Match History Scraper	Tennis Scraper
Scrape by player slug	Yes	Yes	Yes	Yes
Match statistics (serve/return)	Yes	Yes	Yes	Yes
Source links	Not listed	Not listed	Yes	Not listed
SofaScore data	Not listed	Not listed	Not listed	Yes
Live matches	Not listed	Not listed	Not listed	Yes
Point-by-point records	Not listed	Not listed	Not listed	Yes

Configure the run

Drive the Actor with a Tennis Abstract player slug and a maximum record count, and it returns each match as a flat row. The Input tab lists every parameter.

A first run with the defaults:

{
  "maxItems": 10
}

A larger pull:

{
  "maxItems": 200
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Tennis Abstract Player Match Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Tennis Abstract through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/tennis-abstract-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that the player slug is correct and matches the Tennis Abstract URL. Also ensure the player has matches listed on Tennis Abstract.

Why is the run slow?

Tennis Abstract pages can be slow to load. Reduce maxItems or run during off-peak hours.

Why are some match statistics missing?

Tennis Abstract may not have complete statistics for older or lower-level matches. The Actor returns whatever is available on the page.

Why did the run fail with an error?

Check that the player slug contains no spaces and is a valid Tennis Abstract player. If the problem persists, try again later as the site may be temporarily unavailable.

FAQ

Question	Answer
What is a Tennis Abstract player slug?	It is the player's name without spaces, as used in Tennis Abstract URLs. Examples: NovakDjokovic, CarlosAlcaraz, IgaSwiatek, JannikSinner.
Does this work for both ATP and WTA players?	Yes, you can scrape match histories for any player listed on Tennis Abstract, including ATP and WTA players.
What match statistics are included?	Each match row includes score, surface, round, opponent, and detailed serve and return statistics as provided by Tennis Abstract.
How many matches can I scrape in one run?	You can set maxItems from 1 to 1,000,000 records per run.
Do I need an API key or login?	No, this Actor reads public Tennis Abstract pages directly, no registration or OAuth required.
What export formats are supported?	You can export the scraped data as CSV, JSON, Excel, or XML.
Can I scrape multiple players at once?	This Actor scrapes one player slug per run. To scrape multiple players, run the Actor multiple times with different player inputs.
How do I find a player's slug?	Go to the player's Tennis Abstract page and copy the last part of the URL. For example, https://www.tennisabstract.com/cgi-bin/player.cgi?p=NovakDjokovic has slug NovakDjokovic.
Is this Actor affiliated with Tennis Abstract?	No, this is an independent scraper that reads publicly available data from Tennis Abstract.
What if a player has no matches?	The Actor will return an empty dataset. Check that the player slug is correct and that the player has matches listed on Tennis Abstract.

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Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Tennis Abstract. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.