WTA Tennis Rankings Scraper
Pricing
from $19.00 / 1,000 results
WTA Tennis Rankings Scraper
Scrapes the official WTA singles and doubles rankings and returns each player as a flat row with rank, name, country, age, points, and tournament counts.
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
44
Total users
16
Monthly active users
11 days ago
Last modified
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WTA Tennis Rankings Scraper
Scrape the official WTA singles and doubles rankings, from the top 10 to the full list. Every player row includes rank, name, age, country, points, and tournament breakdown. Export to CSV, JSON, Excel, or XML.
The WTA website publishes the definitive weekly rankings for women's professional tennis, but browsing page by page or copying data manually is slow and error-prone. This actor reads the official WTA rankings feed directly, collecting singles or doubles lists up to any depth you need. Each player's record lands in a clean, flat dataset ready for analysis.
| Who uses it | What they scrape WTA Tour for |
|---|---|
| Tennis journalists | Pull the latest rankings to power weekly articles and player profiles. |
| Sports data analysts | Track ranking point changes and player movement over time. |
| Fantasy league operators | Import official player standings to seed tournaments and calculate values. |
| Talent scouts and agents | Monitor rising players and ranking trajectories across the tour. |
What it does
This Actor collects the official WTA singles or doubles rankings and returns each player as a structured row with their rank, points, and career details.
- ๐พ Singles or doubles: choose the WTA singles rankings or the doubles team list with one dropdown.
- ๐ Full depth: collect the top 10, top 100, or every ranked player up to a million rows.
- ๐ Official points: each row carries the player's total ranking points and tournament breakdown.
- ๐ Player details: name, age, country, and career-high rank come with every record.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with WTA Tour data
๐ Track ranking trends week by week.
A data analyst runs the actor every Monday to capture the new WTA singles rankings, then diffs the points column to spot the biggest movers.
๐ฐ Power automated tennis coverage.
A sports editor schedules a weekly scrape of the top 50 and feeds the CSV into a CMS that generates player ranking cards.
๐ Scout rising talent.
An agent pulls the full doubles rankings, filters by age, and identifies junior players breaking into the top 200.
๐ฎ Seed a fantasy tournament.
A fantasy tennis platform imports the official singles list to seed its next contest with real-world standings.
Why choose this scraper
| What you get | |
|---|---|
| Official WTA data | Rankings come straight from the WTA Tour website, the same list the tour publishes each Monday. |
| One flat schema | Every player row has the same columns: rank, name, country, age, points, and tournament counts. |
| No API key needed | Reads the public rankings feed. No registration, no OAuth, no rate-limit headaches. |
| Bulk export ready | Save the full rankings list as CSV, JSON, Excel, or XML for any downstream tool. |
How it compares
No other Store actor targets WTA Tour the same way, so the honest comparison is with the alternatives teams actually weigh.
| WTA Tennis Rankings Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When WTA Tour changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor by picking singles or doubles rankings and setting the maximum number of players to return, so you get exactly the list you need. The Input tab lists every parameter.
A first run with the defaults:
A larger pull:
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
- Create a free Apify account with $5 in credit.
- Open the WTA Tennis Rankings Scraper.
- Set your inputs and any filters, then click Start.
- 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 WTA Tour through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting fewer rows than my max items setting?
The WTA publishes a finite number of ranked players. If you set max items to 2000 but only 1100 players have ranking points, the actor returns all 1100 and stops. This is expected.
The actor returns an empty dataset.
Check that the WTA rankings page is reachable from your browser. If the site layout changed recently, the actor may need an update. Try again in a few hours or contact support.
Some player names look garbled or have odd characters.
The actor preserves the names exactly as the WTA site renders them. If you see encoding issues in Excel, try importing the CSV with UTF-8 encoding.
The points column shows zero for some players.
Players with a very low ranking or who have been inactive may show zero or minimal points. This reflects the official WTA data.
Can I run this on a schedule?
Yes. Use Apify's scheduler to run the actor every Monday morning. Pair it with an alert or a webhook to push the new rankings to your team.
FAQ
| Question | Answer |
|---|---|
| Does this scrape the live WTA rankings or the official weekly list? | It scrapes the official WTA rankings published on the WTA Tour website, which are updated weekly. It does not pull live, point-by-point race projections. |
| Can I get both singles and doubles rankings in one run? | One run returns either singles or doubles. To collect both, run the actor twice, once with each ranking type selected. |
| How many players can I scrape at once? | You set the maximum with the 'Maximum rankings' field. Set it to 10 for a quick top-10 list, or raise it to capture every ranked player. |
| What player details come with each row? | Each row includes the player's rank, name, age, country, total ranking points, and a breakdown of tournaments played. |
| Does this actor need a WTA account or API key? | No. It reads the public rankings pages on the WTA website, so no login, API key, or registration is required. |
| Can I filter by country or age? | The actor returns the full list up to your max items limit. Filter by country, age, or points after the run in your spreadsheet or database. |
| How often are the rankings updated? | The WTA publishes new official rankings every Monday, except during Grand Slam weeks when they update at the tournament's end. Run the actor on your own schedule to match. |
| What export formats are supported? | You can export your dataset in CSV, JSON, Excel, or XML from the Apify platform. |
| Does this include WTA Race to the Finals standings? | This actor focuses on the official 52-week rankings. The Race standings are a separate table and are not included in the current version. |
Related actors
Browse the full ParseForge collection for more scrapers.
๐ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
โ ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by WTA Tour, Inc. 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.
