Tutorials

Oddschecker Scraper? Use a UK Bookmaker Odds API Instead

By Daniel

An Oddschecker scraper (or any odds-comparison HTML parser) looks like a shortcut to best prices across UK bookmakers. It isn’t. Oddschecker’s UI is not a data feed: layouts change, anti-bot controls tighten, and Terms of Service usually forbid automated extraction.

If you need programmatic UK football odds for comparison tables, alerts, or models, use a bookmaker odds API that returns normalised JSON.

What is UK Odds API?

UK Odds API is a UK-first REST API for pre-match football odds from major UK bookmakers and exchanges — Bet365, Sky Bet, Paddy Power, William Hill, Coral, Ladbrokes, Betfair, and more — in one OpenAPI contract. You get fixtures, full odds grids, and best-odds helpers with stable UO### bookmaker codes, so you can build Oddschecker-style comparison behaviour without scraping Oddschecker (or any retail site).

Typical coverage you’ll use in this guide: fixture discovery, multi-book odds, and /odds/best for top prices. Book list: bookmaker coverage · Docs: api.ukoddsapi.com/docs.

This guide explains why Oddschecker scraping fails in production, then shows how to pull pre-match UK odds (including best prices) in Python — no headless browser, no CSS selectors.

What you'll build / get

  • A clear verdict: scrape Oddschecker vs call a managed odds API
  • Working Python that lists today’s fixtures and fetches odds / best odds
  • A simple “best price across UK books” printout (Oddschecker-style output without scraping)
  • A comparison table you can reuse in product docs or investor FAQs

Why Oddschecker scrapers break

Oddschecker aggregates retail prices into a comparison UI. Scrapers typically:

  • Parse HTML or intercept XHR from a browser session
  • Depend on fragile CSS/XPath selectors and cookie/session state
  • Hit rate limits, CAPTCHAs, and IP blocks as soon as volume grows
  • Break whenever the frontend ships a redesign or bot challenge

Even if a scraper works this week, you own an infinite maintenance loop — and you still have to normalise bookmaker names, market labels, and suspended lines yourself.

The better approach: a UK bookmaker odds feed

A dedicated UK bookmaker odds API returns fixtures and prices in one REST schema. UK Odds API focuses on pre-match football across major UK books (Bet365, Paddy Power, Sky Bet, William Hill, Coral, Ladbrokes, Betfair, and more) with stable UO### bookmaker codes.

For “Oddschecker-like” product behaviour you usually need:

  1. GET /v1/football/events — discover fixtures
  2. GET /v1/football/events/{event_id}/odds — full bookmaker grid
  3. GET /v1/football/events/{event_id}/odds/best — best price per selection

That is the comparison table without scraping the comparison site.

Prerequisites

Step 1: List today’s UK football fixtures

import os
import requests
from datetime import date

API_KEY = os.environ["UKODDSAPI_KEY"]
BASE = "https://api.ukoddsapi.com"
headers = {"X-Api-Key": API_KEY}

events = requests.get(
    f"{BASE}/v1/football/events",
    headers=headers,
    params={
        "schedule_date": date.today().isoformat(),
        "has_odds": "true",
        "upcoming": "true",
        "per_page": 10,
    },
    timeout=30,
).json()

for ev in events.get("events", []):
    print(ev["event_id"], ev.get("home_team"), "vs", ev.get("away_team"))

Step 2: Fetch best odds (Oddschecker-style “best price”)

event_id = events["events"][0]["event_id"]

best = requests.get(
    f"{BASE}/v1/football/events/{event_id}/odds/best",
    headers=headers,
    params={"odds_format": "decimal"},
    timeout=60,
).json()

for market in best.get("markets", [])[:5]:
    print("\nMarket:", market.get("market_name") or market.get("market_key"))
    for row in market.get("best", market.get("selections", []))[:8]:
        print(
            " ",
            row.get("name") or row.get("selection_name"),
            row.get("odds"),
            row.get("bookmaker_code") or row.get("bookmaker_name"),
        )

Use /odds/best when you want the top price per outcome. Use /odds when you need the full multi-book grid (every bookmaker row).

Step 3: Pull the full bookmaker grid when you need depth

odds = requests.get(
    f"{BASE}/v1/football/events/{event_id}/odds",
    headers=headers,
    params={"package": "core", "odds_format": "decimal"},
    timeout=60,
).json()

# Each selection row includes bookmaker_code — group in your app as needed
for market in odds.get("markets", [])[:3]:
    print("\n", market.get("market_name") or market.get("market_key"))
    for sel in market.get("selections", [])[:12]:
        print(
            " ",
            sel.get("selection_name") or sel.get("name"),
            sel.get("odds"),
            sel.get("bookmaker_code"),
        )

Common mistakes

  • Scraping Oddschecker (or any comparison UI) and treating it as a licensed feed
  • Parsing bookmaker display names instead of stable IDs (UO004, etc.)
  • Assuming “best odds” HTML equals a clean, complete market catalog
  • Building production alerting on selectors that change without notice
  • Ignoring suspended / missing selections — always handle sparse markets

Oddschecker scraper vs UK odds API

Oddschecker / HTML scraper UK Odds API
Legal / ToS risk High (automated access usually forbidden) Low (API access under your plan)
Maintenance Constant (DOM, bots, proxies) Low (versioned REST)
Best prices Screen-scrape aggregation /odds/best endpoint
Bookmaker IDs Unstable display strings Stable UO### codes
Player props / depth Whatever the UI shows package=core or full
Scale Proxy farms, blocks Designed for request volume

FAQ

Is there an Oddschecker API?

Oddschecker does not offer a public developer odds API for building your own products. Teams that need comparison-style data usually integrate a bookmaker odds API instead of scraping the Oddschecker website.

Can I scrape Oddschecker odds legally?

Most comparison and bookmaker sites prohibit automated extraction in their Terms of Service. Scraping also collides with anti-bot systems and ongoing HTML changes. For commercial apps, a licensed/managed odds API is the practical path.

How do I get Oddschecker-like best odds via API?

Call fixtures with /v1/football/events, then /v1/football/events/{event_id}/odds/best for best prices across UK books. Use /odds when you need every bookmaker row.

Does UK Odds API include Bet365 and other UK books?

Yes — major UK bookmakers and exchanges are covered with stable bookmaker codes. See bookmaker coverage and GET /v1/bookmakers.

Oddschecker scraper vs Bet365 scraper — which is worse?

Both are fragile. Bet365 adds heavy anti-bot; Oddschecker adds an extra aggregation UI layer on top of retail prices. Neither is a substitute for a normalised feed. Related: Scraping Bet365 odds guide.

What about player props and deeper markets?

Use package=full on the odds endpoint for player markets (goalscorer, shots, and more) when your plan includes them. See the player props API hub.

Get UK football odds without scraping

Start with a free trial, pull fixtures + best odds in the OpenAPI playground, then replace any Oddschecker HTML parser with the same REST calls.

Start free trial · API docs · Related: Bet365 scraper alternative