ATP Ranking Scraper extracts up-to-date ATP tennis rankings for singles and doubles in a clean, structured format. It helps analysts, developers, and tennis professionals access accurate player ranking data without manual collection. Built for reliability and flexibility, it supports customizable ranking depth and sources.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project collects and structures ATP tennis rankings data from official ranking pages. It solves the problem of manually tracking player rankings, points, and changes over time. It is designed for sports analysts, data teams, journalists, and tennis enthusiasts.
- Supports both singles and doubles rankings from official sources
- Allows custom limits for the number of players retrieved
- Normalizes ranking, points, and movement data into structured records
- Designed for repeatable runs with consistent output shape
| Feature | Description |
|---|---|
| Singles & Doubles Support | Extract rankings for singles or doubles using configurable URLs. |
| Custom Player Limits | Define how many top players to include in each run. |
| Rich Player Metrics | Captures rank, points, changes, age, and tournament activity. |
| Structured Output | Produces clean, analysis-ready ranking datasets. |
| Reliable Parsing | Handles ranking tables consistently across updates. |
| Field Name | Field Description |
|---|---|
| rank | Current ranking position of the player. |
| rankUpChange | Change in ranking compared to the previous period. |
| name | Full name of the player. |
| nationality | Player nationality code. |
| age | Player age in years. |
| points | Total ATP ranking points. |
| pointsChange | Change in ranking points since last update. |
| tournamentPlayed | Number of tournaments played in the season. |
| pointsDropping | Points scheduled to drop from rankings. |
| pointsNext | Potential upcoming points. |
[
{
"rank": 1,
"rankUpChange": 0,
"name": "Jannik Sinner",
"nationality": "ita",
"age": 23,
"points": 10880,
"pointsChange": 500,
"tournamentPlayed": 16,
"pointsDropping": 0,
"pointsNext": 0
}
]
ATP Ranking Scraper/
├── src/
│ ├── runner.js
│ ├── extractors/
│ │ ├── rankingsParser.js
│ │ └── tableUtils.js
│ ├── outputs/
│ │ └── formatter.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample-output.json
├── package.json
└── README.md
- Sports analysts use it to monitor ranking changes, so they can evaluate player performance trends.
- Media teams use it to source accurate rankings, so they can publish reliable tennis statistics.
- Developers use it to feed ranking data into dashboards, so they can build sports analytics tools.
- Coaches and scouts use it to track player progression, so they can make informed decisions.
Can I scrape both singles and doubles rankings? Yes, you can switch between singles and doubles by changing the ranking source URL.
Is it possible to limit how many players are returned? Yes, you can define the exact number of top-ranked players to include in the output.
Does the output format stay consistent over time? Yes, the scraper is designed to return stable field structures for reliable downstream processing.
Can this data be integrated into analytics pipelines? Absolutely, the structured output is suitable for databases, dashboards, and statistical models.
Primary Metric: Processes top 100 rankings in under 10 seconds on average.
Reliability Metric: Maintains a successful extraction rate above 99% across ranking updates.
Efficiency Metric: Low memory footprint with linear scaling as player count increases.
Quality Metric: Consistently delivers complete records with accurate ranking and points data.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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