Pricing

from $0.19 / 1,000 match returneds

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Tennis Abstract Scraper — Score Checks, Model Features & Elo

Try for free

ATP/WTA histories, H2H, rankings, Elo and charted points. Optional ESPN score checks, pre-tournament model features and versioned correction history. No source key/login. $0.19/1K matches plus charting and usage.

Pricing

from $0.19 / 1,000 match returneds

Rating

0.0

(0)

Developer

Apivault Labs

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Sports

Developer tools

You can access the Tennis Abstract Scraper — Score Checks, Model Features & Elo programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "players": ["Novak Djokovic"],
10    "maxResults": 20,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("apivault_labs/tennis-abstract-bulk-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
18for item in client.dataset(run.default_dataset_id).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Tennis Abstract Scraper — Score Checks, Model Features & Elo API in Python

The Apify API client for Python is the official library that allows you to use Tennis Abstract Scraper — Score Checks, Model Features & Elo API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Tennis Abstract Scraper — Score Checks, Model Features & Elo API in JavaScript

Tennis Abstract Scraper — Score Checks, Model Features & Elo API through CLI

Tennis Abstract Scraper — Score Checks, Model Features & Elo OpenAPI definition

Tennis Abstract Scraper — Score Checks, Model Features & Elo API

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Extract official WTA tour data by player name: match history with scores, ranking points and prize money, live ranking tables, player profiles and the tournament calendar. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools and AI workflows.

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ATP rankings and Elo ratings, full player match histories with surface, round, tier and score, plus tournament results with field strength. Surfaces and tiers in plain words, not letter codes. No API key. For betting analytics, fantasy sports and sports media.

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khadinakbar/tennis-rankings-scraper

Scrape current ATP (men's) and WTA (women's) tennis rankings: rank, previous rank, rank change, points, player name, age and country. Covers the top 150 per tour from ESPN's public JSON data, with no browser.

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Scrape every ATP, WTA, Challenger and ITF tennis match on SofaScore by date, tournament or player — set-by-set scores, 42 match statistics, point-by-point rally data, serve and return splits, H2H record, seeds, prize money, court and surface. No API key.

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Export public Tennis Abstract player match histories with opponents, rankings, surfaces, rounds, scores, match statistics, and source links.

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Tennis data for ATP, WTA, Challenger & ITF: live scores, fixtures, results, rankings and model-ready pre-match feature rows (form, H2H, surface splits).

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Flashscore Tennis Scraper & API | ATP, WTA Live Scores, Odds

zen-studio/flashscore-tennis-api

Real-time tennis API and scraper for Flashscore: ATP and WTA live scores, tiebreaks, statistics and bookmaker odds. Challenger, ITF, singles and doubles. 54 fields per match, plus point by point and head-to-head. Past seasons too.