Livescore_scraper
Under maintenance
Pricing
Pay per event
Livescore_scraper
Under maintenance
A Node.js CLI tool that scrapes football fixtures from LiveScore. It fetches head-to-head (H2H) stats, home/away last matches, and upcoming/past fixtures. Saves results to JSON and logs to output.txt. Ideal for football fans and developers.
0.0 (0)
Pricing
Pay per event
0
Monthly users
5
Runs succeeded
>99%
Last modified
a month ago
You can access the Livescore_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 Integrations settings in Apify Console.
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
10# Run the Actor and wait for it to finish
11run = client.actor("wixnation/livescore-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLivescore_scraper API in Python
The Apify API client for Python is the official library that allows you to use Livescore_scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Scrape LiveScore Data
$0.10
This event fetches football (soccer) fixtures and match data from LiveScore. It retrieves head-to-head (H2H) stats, home/away last matches, and upcoming fixtures. Results are saved in JSON format and logs are stored for easy access.
