Pricing

$1.50 / 1,000 odds rows

Try for free

Go to Apify Store

Sports Betting Odds Scraper

Try for free

Collects pre-match and live betting odds from many bookmakers for football, tennis, basketball and 20+ other sports from Flashscore's odds comparison, with opening odds and price movement, to compare prices and track how they move.

Pricing

$1.50 / 1,000 odds rows

Rating

0.0

(0)

Developer

Mina

Actor stats

Bookmarked

Total users

Monthly active users

11 days ago

Last modified

Categories

Sports

Automation

Developer tools

You can access the Sports Betting Odds Scraper 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    "sport": "football",
10    "day": "today",
11    "bookmaker_country": "GB",
12    "markets": [
13        "1x2",
14        "home_away",
15    ],
16    "periods": ["full_time"],
17    "max_events": 3,
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("mina_safwat/sports-odds-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
25for item in client.dataset(run.default_dataset_id).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Sports Betting Odds Scraper - Bookmaker Odds Comparison API in Python

The Apify API client for Python is the official library that allows you to use Sports Betting Odds Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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