View all ideas

SoccerPunter scraper

STATUS

Open to develop

CATEGORIES

SUBMITTED

Periodically scrape SoccerPunter for historical football match results and export them to Excel for prediction modeling and analysis.

How does the SoccerPunter scraper work?

  1. Input parameters such as:
    • League or competition name
    • Season or year
    • Match date range
    • Home/Away filters
    • Odds availability
  2. Run the Actor
  3. Extract match data from HTML tables, including:
    • Date
    • Teams (home vs away)
    • Final score
    • Half-time score (if available)
    • Match status
    • League name
  4. Export the results to Excel or CSV for use in prediction models or further analysis in Microsoft Excel

SoccerPunter scraper API

The SoccerPunter scraper API provides structured football match results from HTML tables. You get clean, machine-readable data, including match date, home and away teams, final scores, and league information. Works with JavaScript, Node.js, Python, or curl.

Use cases of the SoccerPunter scraper

Use it to:

  • Feed match data into Excel-based football prediction models
  • Analyze past performance trends by team or league
  • Build custom betting or stats dashboards
  • Maintain up-to-date historical results for your own dataset

Ideal for football analysts, data scientists, or hobbyists building predictive tools based on historical football results.

Similar Actors in Store

See our 5,000+ scraping solutions

Browse our Store and find the right solution for you