Flashscore Tennis Scraper - Live Scores, Odds, H2H & History
Pricing
Pay per event
ATP, WTA, Challenger and ITF tennis from Flashscore, live and back to 1990: scores, odds from ~20 bookmakers (fair probability, closing odds), H2H over every meeting, Elo per surface, form, player stats, draws with rounds, rankings of any week since 1973. Works as an MCP tool for AI agents.
You can access the Flashscore Tennis Scraper - Live Scores, Odds, H2H & History 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {}9
10# Run the Actor and wait for it to finish11run = client.actor("crawlplant/flashscore-tennis").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Flashscore Tennis Scraper - Live Scores, Odds, H2H & History API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: