Betting odds API from Oddsmagnet

Easily collect, process, and analyze betting odds in real time

Get started with Oddsmagnet odds API

Oddsmagnet makes it easy to collect, process, and analyse real-time betting odds data, so you can integrate it to your website & get timely insights into odds comparison changes in real time. Oddsmagnet offers capabilities to cost-effectively process streaming betting odds data at any scale covering any sport or bookmakers.

Use cases:

Arbitrage betting

You can use betting odds api with odds comparison for finding arbitrage opportunities at scale.

Betting trends visualisation

With betting odds API you would easily track betting trends across different markets to enhance your betting strategy.

Machine learning

Build your own Betting outcomes predictions algorithm using Machine learning based on historical odds changes.

Benefits:

Real-time

Oddsmagnet enables you to ingest and process odds comparison data in real-time, so you can get betting insights in minutes.

Scalable

With Oddsmagnet odds API you can get access and process prematch odds data for any sports with very low latencies up to 10 minutes..

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Which odds data package is right for you?

Odds API comparison guide:

We offer three odds comparison data packages for you to select from.

Our product comparison guide below illustrates the main differences between each of the packages.

Comparison table:

	Embedded Odds grids	Aggregated Odds data	Prematch Odds data	Prematch Odds API
Frequency of updates	Live	Daily	Live (max 10min latency)	Live
Coverage	Specific market	All sports	All sports	All sports
Format	HTML	Parquet files	Parquet files	API
Compression	-	Snappy	Snappy	-
Granularity	One entry represents current odds per one bookmaker per outcome	One entry represents daily odds update aggregated by all bookmakers per outcome	One entry represents each individual odds update per specific bookmaker per outcome	One entry represents current odds per one bookmaker per outcome
Price	Free	Free	£100 per week/£300 per month	On request

We offer real time betting odds comparison grids to embed to your website for all sports & events which you can get by individual market level absolutely free of charge. You can find live odds grids for the events you like on our website. One table contains odds from all bookmakers for specific market per specific outcome. All odds are updated in real time and contain links to the betslip of the specific event of that specific bookmaker website without any affiliate information from our side.

Technical Specs:

By clicking on the “Embed” button at the right side bottom, you can access a snippet of code as per example below:

 <iframe width="560" height="315" src="https://oddsmagnet.com/share-odds/football/england-premier-league/brentford-v-arsenal/win-market" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

You need to replace src path to the market you would like to embed and adjust the appearance of end-result odds comparison table if you like.

We offer prematch odds data for all sports and events aggregated by all bookmakers average per day. The data is represented by parquet files in a warehouse which lets you get historic odds updates aggregated across all bookmakers. You can query data by individual event or market absolutely for free.

The table structure is as follows:

Column name	Data type	Partition
sport_slug	string	-
event_slug	string	-
subevent_slug	string	-
market_slug	string	-
bet_slug	string	-
start_date	date	-
home_team	string	-
away_team	string	-
back_decimal	decimal(10,2)	-
ingest_year	bigint	partition
ingest_month	bigint	partition
ingest_day	bigint	partition

S3 bucket location: data.oddsmagnet.com/history-daily

You can process the data with most of the current technologies. Here is a pyspark example. Here is another example in pandas Also if you like to use serverless way to process data the best way probably would be snowflake as you can directly construct your staging table from the data in the bucket. Here is an example video on how to do this.

We offer Prematch Odds data for all sports and events for all bookmakers with live updates (max 10 minutes latency). The data is represented by parquet files in a warehouse which lets you get odds data for all sports across all bookmakers with real time updates. You can query data by idividual event or market and get real live updated odds data per bookmaker for any event at once.

Technical specs:

You can process the data with most of the current technologies, we have usecases in Pyspark & Pandas. If you like to use serverless way to process data, we recommend Snowflake, as you can directly construct your staging table from the data in the bucket.

One row represents each individual update of odd for specific bookmaker.

The table structure is as follows:

Column name	Data type	Partition
redis_key	string	-
bookie_code	string	-
back_decimal	string	-
last_back_decimal	string	-
ingest_timeimestamp	timestamp	-
sport_slug	string	-
event_slug	string	-
subevent_slug	string	-
market_slug	string	-
bet_slug	string	-
start_date	date	-
home_team	string	-
away_team	string	-
ingest_year	bigint	partition
ingest_month	bigint	partition
ingest_day	bigint	partition

S3 bucket location with SAMPLE data: data.oddsmagnet.com/history

Pricing:

Weekly access: unlimited access to all sports & events odds from all bookmakers updated in real time with max 10 minutes latency - £100 per week
Monthly access: unlimited access to all sports & events odds from all bookmakers updated in real time with max 10 minutes latency - £300 per montth

We offer Prematch Odds API with real time odds updates for all sports and events per bookmaker per outcome. Get full access to the live odds with no latency from the following 17 bookmakers:

WilliamHill
BoyleSports
10Bet
888
BetFred
Betway
BetVictor
Unibet
BetAtHome
Betsson
Fansbet
LVbet
NetBet
QuinBet
Betsafe
TonyBet
VBet

Technical Specs:

The odds data for all sports and events by bookmaker iis represented by an API with certain endpoints, which you can call to get the odds data with real time updates.

Pricing:

Price on request, dependant on required requests per second