Sports Odds Scraper

Sports Odds Scraper: game lines and player props from four boards, as rows

Name a sport or a league and get back one row per selection: the game, the start time, the market, the player where there is one, the line, and American and decimal odds or a payout multiplier. Two sportsbooks, DraftKings and Pinnacle, and two pick'em apps, Underdog and Sleeper, in the same shape so you can put them side by side.

It reads full-game main lines and player over/unders. Futures, alternate lines, halves, quarters, team totals and novelty props are not in there, and every row is a snapshot of the price at the second it was read.

🎲 What Sports Odds Scraper does

It walks each source you keep, in turn, and pulls the board for the sports or leagues you named. Every selection becomes a row with the same field names whatever produced it, so a DraftKings moneyline and a Sleeper player line sit in one table and join on the game.

The row limit is shared evenly between the sources you keep, and whatever one source does not use passes to the next. That is what stops a single busy board eating the whole run.

The fifteen best-known leagues are matched by their common name across all four sources, so Premier League means England's and not Canada's. Any other word is looked for inside each book's own league name, so WTA finds WTA - Guadalajara.

📥 What you give it

{
  "sports": ["football"],
  "leagues": ["NFL"],
  "sources": ["draftkings", "pinnacle", "underdog", "sleeper"],
  "marketTypes": ["moneyline", "spread", "total", "player-prop"],
  "startFrom": "2026-09-14",
  "maxRows": 200
}

📤 What you get back

A real row from a recent run:

{
  "bookmaker": "DraftKings",
  "source": "draftkings",
  "sport": "football",
  "league": "NFL",
  "event": "DAL Cowboys @ NY Giants",
  "homeTeam": "NY Giants",
  "awayTeam": "DAL Cowboys",
  "startTime": "2026-09-14T00:20:00.000Z",
  "gameDay": null,
  "isLive": false,
  "marketType": "moneyline",
  "market": "Moneyline",
  "selection": "DAL Cowboys",
  "player": null,
  "playerTeam": null,
  "line": null,
  "oddsAmerican": -166,
  "oddsDecimal": 1.602,
  "payoutMultiplier": null,
  "eventId": "34118096",
  "marketId": "1_84695529",
  "selectionId": "0ML84695529_3",
  "sourceUpdatedAt": null,
  "scrapedAt": "2026-09-13T21:26:17.516Z"
}

🧾 Reading the output

Run with no sport, no league and no player and you get that one sample row and nothing else. It is a real DraftKings NFL price, there to show you the shape.

No diagnostic rows go into the dataset. The run's status message leads with the split, like "Returned 200 odds rows: DraftKings 50, Underdog 75, Sleeper 75", then names anything that did not come through. RUN_REPORT in the key-value store has the long version: per source, how many rows, how much of its share it used, which leagues were read and which pages were not, plus counts for everything dropped on live, dates, market, sport, league, player and repeats.

A source that cannot be read on a given run is reported as not read. It returns nothing and nothing is charged for it, and the other sources carry on.

▶️ How to run it

1. Open Sports Odds Scraper and click Try for free. 2. Tick a sport, or type league names into Leagues, one per line. 3. Leave Bookmakers and apps on all four, or untick the ones you do not want. 4. Set Maximum rows. Start around 200, then click Start. 5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.01 per 1,000 rows. Flat on every Apify plan, no volume tiers.

You pay per selection delivered. Selections your filters drop, live prices while Include games already under way is off, a selection already delivered in the same run, the sample row, and a source that could not be read are all free.

💡 What people use it for

• Comparing the same game across two sportsbooks and two pick'em apps in one table.
• Tracking a line through the week on a schedule, keyed on source and selectionId.
• Pulling every prop on a handful of players before a slate, with Players filled in.
• Feeding a model, since the American and decimal prices are both there and the ids are stable.
• Checking whether an app's multiplier is worth more or less than a book's price on the same line.

🚧 What it does not do

• Main lines and player over/unders only. No futures, alternates, halves, quarters, team totals

or novelty props.

• Sleeper rows have no start time, and no game at all for soccer, CS2 and tennis lines. They

carry gameDay.

• A multiplier is not odds. Sleeper rows leave oddsAmerican and oddsDecimal empty.
• Season-long app lines are left out. Weekly and per-game lines only.
• DraftKings prices come from its New Jersey board. Another state can price differently.
• Naming players removes game lines from that run, because a moneyline is not about a player.
• It is not a live feed. Each row is what the source showed when it was read, and scrapedAt

says when.

• Only these four sources. Nothing else is read, and none of them is a betting account: this

returns numbers, it does not place anything.

• Soccer across a whole sport is slow. Close to 300 leagues on Pinnacle alone, so name the

league you want.

🧭 Which odds scraper do you need?

❓ Questions people ask

Do I need an account with any of them? No. No login, no key, nothing to apply for.

Why did Pinnacle come back with less than the others? Some of its pages will not answer on a given run. The status message says which sources were partly read, and you are not charged for what did not arrive.

Can I get just one book? Yes. Untick the rest in Bookmakers and apps and the whole row limit goes to the one you kept.

Why are the apps missing from my run? They only carry player lines. Without player-prop in Markets they sit it out, and the status message says so.

How do I follow a line through the week? Schedule it with the same league and a small Maximum rows, and key your store on source plus selectionId.

Is scraping odds legal? These are public prices on public pages. Sportsbook and app terms do restrict automated collection, so read the terms of whichever source you care about and decide for yourself. Apify's write-up on scraping and the law is a starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the run ID and the input. The status message and RUN_REPORT name which source fell short and why.