Betting api python

Jan 27, 2021 · Returns a list of dynamic data about a market and a specified runner. Dynamic data includes prices, the status of the market, the status of selections, the traded volume, and the status of any orders you have placed in the market.. Retrieve profit and loss for a given list of OPEN markets. WebWebJavaScript & Python Projects for £20 - £250. Hello, I have access to a pre match and live betting odds API for tennis. I wish to use this for identifying arbs (when betting on both sets of a selection with different bookies guarentees profit) ...0.1 Setup. Once again I'll be presenting the analysis in a jupyter notebook and will be using python as a programming language. Some of the data processing code takes a while to execute - that code will be in cells that are commented out - and will require a bit of adjustment to point to places on your computer where you want to locally store the intermediate data files. The Top 6 Python Betting Odds Open Source Projects Topic > Betting Odds Categories > Programming Languages > Python Sports Betting ⭐ 122 Sports betting assistant (with interface) which optimizes earnings regarding odds and offers most recent commit a year ago Scrapeop ⭐ 38 A python package for scraping oddsportal.com most recent commit a year ago Feb 28, 2020 · And by doing so, I made a $20,000 profit from sports betting during that year. Sports betting could be more than using your gut feeling. You could have better odds by adding proper data analysis and predictive modeling. This guide will show you the step by step algorithm to sports bet smarter using Python and also more tips about it. Let’s ... WebAt SportsDataIO, we've created client SDKs in multiple popular languages, to make integration with our sports data API a dream come true.This statement imports the meraki and os python libraries. import meraki,os . This block of code allows the script to read the .env file. from dotenv import load_dotenv. load_dotenv() This statement sets the API key for the meraki library functions imported. dashboard = meraki.DashboardAPI(API_KEY) This block of code is the function. def get ...Web reality husband and wife home videoWebHello, We are looking to build a fully operational betting website using, Betfair API, for 6 games. It will be running on my servers. Betting will be done on Points system (or virtual) and it should have fully operational Admin Panel to look performance of our direct client, agents (franchise) and their clients. Budget is in the headlines. DON'T RESPOND WITH OFFENSIVE EXPECTATIONS.sportmonks is a Python 3.5+ package that implements SportMonks API. python api data sports soccer football-data football sports-stats sports-data sports-betting Updated 12 days ago Python S1M0N38 / aao Star 16 Code Issues Pull requests A simple environment where testing betting strategy on real odds0.1 Setup. Once again I'll be presenting the analysis in a jupyter notebook and will be using python as a programming language. Some of the data processing code takes a while to execute - that code will be in cells that are commented out - and will require a bit of adjustment to point to places on your computer where you want to locally store the intermediate data files. The Player Props API provides aggregated odds data for player props and player markets. Top US bookmakers are available, and return odds for NFL, NBA, MLB, NHL, and top soccer leagues. The API is consistent in structure, format, and behavior with the other General Sport APIs. Primary feeds will return books, categories, sports, and tournaments ...A betting exchange API enables exchange users or third party developers to create custom applications that automate betting activity and, in theory, remove emotion from the betting process. An API enables users to read live market data, place bets and check their account statement without having to use the betting exchange web site.This video will show you how to get free soccer/football data using the API from data company Statsbomb to access their open data.Finding free data is probab...14-Sept-2020 ... What are Sports Betting APIs? In short, the bookmaker is an organization that proposes some coefficients for sports events before or directly ...Web how to become an ihss provider After installing the packages, we can now import them into our python environment using the code below: import requestsimport pandas as pdapi_key = 'YOUR API KEY' We have now successfully...So first get the total amount bet: total = sum (x [1] for x in bets.values ()); then the total of correct bets: wtotal = sum (x [1] for x in bets.values () if x [0] == TEAM_BLUE); then go though the bettors: for p in bets.keys (): if bets [p] [0] == TEAM_BLUE: payout = total * bets [p] [1] / wtotal Share Improve this answer Follow4 days ago ... When using open source tools, developers get up to speed more quickly, and they also get the benefit of community contributions that uncover ...Create a betting game using python - Horse RacingIn this tutorial we will create a simple horse racing game. The tutorial will use a simple graphics module k...Python (>= 2.6.3/2.7.x) library to communicate with the Betfair Betting Exchange. Introduction. BfPy eases the communication with the Betfair API by:.My code provides the following functionality for interacting with Pinnacle Bets API: retrieving betting history retrieving fixtures (future events) retrieving odds for the given leagues (competitions) retrieving odds for the given events (games) placing a bet Should you need to get acquainted with the API, it provides documentation.WebSo first get the total amount bet: total = sum (x [1] for x in bets.values ()); then the total of correct bets: wtotal = sum (x [1] for x in bets.values () if x [0] == TEAM_BLUE); then go though the bettors: for p in bets.keys (): if bets [p] [0] == TEAM_BLUE: payout = total * bets [p] [1] / wtotal Share Improve this answer Follow winpot casino no deposit bonus codes 2022 WebNov 23, 2020 · 1. Implement HTTP GET Request: Let us execute the most used HTTP method, “GET,” which retrieves the requested resource data. We can also send query parameters to retrieve specific data. Console:... Feb 28, 2020 · Read the data into Python Step #2: Transform the data Add new features First, we create the goal_difference variable as the difference between home_goals and visitor_goals. It is greater than 0 when the home team wins and less than 0 when the home team loses while being 0 when two teams tie. sleeper build carPython script to scrape Bet365 odds using Selenium. python selenium python-script sports python3 betting sports-betting bet365 Updated Feb 4, 2019; ... Web based app for sports betting using Betfair API. mysql php betfair-api betfair codeigniter sports-betting Updated May 29, 2018; HTML; sportsdataverse / cfbfastR Star 38.Get started with the odds API in 3 steps Step 1 Get an API key via email See plans Step 2 Get a list of in-season sports Details GET /v4/sports?apiKey=YOUR_API_KEY { "key": "americanfootball_nfl", "group": "American Football", "title": "NFL", "description": "US Football", "active": true, "has_outrights": false }, ... Step 3WebAug 15, 2020 · Making API Requests in Python In order to work with APIs in Python, we need tools that will make those requests. In Python, the most common library for making requests and working with APIs is the requests library. The requests library isn’t part of the standard Python library, so you’ll need to install it to get started. The Blender Python API. Like lots of other 3D tools, Blender actually relies on a core API and the UI you’re clicking on and moving about is a visual wrapper around these internal functions. In ...The Top 21 Python Betting Open Source Projects Topic > Betting Categories > Programming Languages > Python Sports Betting ⭐ 122 Sports betting assistant (with interface) which optimizes earnings regarding odds and offers most recent commit a year ago Soccerapi ⭐ 91 soccerapi ⚽️ , an unambitious soccer odds scraperThe Top 21 Python Betting Open Source Projects Topic > Betting Categories > Programming Languages > Python Sports Betting ⭐ 122 Sports betting assistant (with interface) which optimizes earnings regarding odds and offers most recent commit a year ago Soccerapi ⭐ 91 soccerapi ⚽️ , an unambitious soccer odds scraperWebWeb0.1 Setup. Once again I'll be presenting the analysis in a jupyter notebook and will be using python as a programming language. Some of the data processing code takes a while to execute - that code will be in cells that are commented out - and will require a bit of adjustment to point to places on your computer where you want to locally store the intermediate data files.Kick-start your Django development by learning to build a betting prototype step-by-step. - Free Course. ... How to download and install python.Intro to the Python DataStream API # DataStream programs in Flink are regular programs that implement transformations on data streams (e.g., filtering, updating state, defining windows, aggregating). The data streams are initially created from various sources (e.g., message queues, socket streams, files). Results are returned via sinks, which may for example write the data to files, or to ... Hello, We are looking to build a fully operational betting website using, Betfair API, for 6 games. It will be running on my servers. Betting will be done on Points system (or virtual) and it should have fully operational Admin Panel to look performance of our direct client, agents (franchise) and their clients. Budget is in the headlines. DON'T RESPOND WITH OFFENSIVE EXPECTATIONS.Sportsipy is a free python API that pulls the stats from www.sports-reference.com and allows them to be easily be used in python-based applications, especially ones involving data analytics and machine learning. Sportsipy exposes a plethora of sports information from major sports leagues in North America, such as the MLB, NBA, College Football ... how much are lip fillers in nc WebThe requests Python library. This can be installed with: python3 -m pip install --user requests Fetching odds for upcoming events All Stake API requests are made as GraphQL requests to https://api.stake.com/graphql. You will always send a JSON payload with at least the keys query and variables.My code provides the following functionality for interacting with Pinnacle Bets API: retrieving betting history retrieving fixtures (future events) retrieving odds for the given leagues (competitions) retrieving odds for the given events (games) placing a bet Should you need to get acquainted with the API, it provides documentation.Web0.1 Setup. Once again I'll be presenting the analysis in a jupyter notebook and will be using python as a programming language. Some of the data processing code takes a while to execute - that code will be in cells that are commented out - and will require a bit of adjustment to point to places on your computer where you want to locally store the intermediate data files. Dec 03, 2021 · After installing the packages, we can now import them into our python environment using the code below: import requestsimport pandas as pdapi_key = 'YOUR API KEY' We have now successfully... Hello, We are looking to build a fully operational betting website using, Betfair API, for 6 games. It will be running on my servers. Betting will be done on Points system (or virtual) and it should have fully operational Admin Panel to look performance of our direct client, agents (franchise) and their clients. Budget is in the headlines. DON'T RESPOND WITH OFFENSIVE EXPECTATIONS.And by doing so, I made a $20,000 profit from sports betting during that year. Sports betting could be more than using your gut feeling. You could have better odds by adding proper data analysis and predictive modeling. This guide will show you the step by step algorithm to sports bet smarter using Python and also more tips about it. Let’s ...WebThe sports industry is one of the most attractive and sturdy in entertainment. The level of attention to the top sports events is impressively high. That’s why sports betting is an exciting way ... funny scenes from plays This statement imports the meraki and os python libraries. import meraki,os . This block of code allows the script to read the .env file. from dotenv import load_dotenv. load_dotenv() This statement sets the API key for the meraki library functions imported. dashboard = meraki.DashboardAPI(API_KEY) This block of code is the function. def get ...28-Feb-2020 ... Check out the data science strategy I used to make $20000 betting on sports. ... to sports bet smarter using Python and also more tips about it.26-Oct-2018 ... This tutorial will walk you through the process of connecting to Betfair's API, grabbing data and placing a bet in Python.WebWeb unique western horse names Using Python, a pseudo code for the main backtest assuming we always take the maximum value will be: cumulated_wealth = 0 for a_match in match_data: odds = a_match ["odds"] probabilities =...The Player Props API provides aggregated odds data for player props and player markets. Top US bookmakers are available, and return odds for NFL, NBA, MLB, NHL, and top soccer leagues. The API is consistent in structure, format, and behavior with the other General Sport APIs. Primary feeds will return books, categories, sports, and tournaments ...Pinnacle has over 20 years experience offering the best odds and highest limits online. Bet today to discover why we are the choice for serious bettors.This statement imports the meraki and os python libraries. import meraki,os . This block of code allows the script to read the .env file. from dotenv import load_dotenv. load_dotenv() This statement sets the API key for the meraki library functions imported. dashboard = meraki.DashboardAPI(API_KEY) This block of code is the function. def get ...WebCricket Betting API development. Orion InfoSolutions is a Cricket Betting API provider with an extensive portfolio of Cricket Betting APIs like Python Sports Betting API, Cricket Betting API, Betting Exchange API, and Dynamic Odds API. Our cricket betting APIs are developed using universal modules that support the integration of different ...The requests Python library. This can be installed with: python3 -m pip install --user requests Fetching odds for upcoming events All Stake API requests are made as GraphQL requests to https://api.stake.com/graphql. You will always send a JSON payload with at least the keys query and variables.WebMy code provides the following functionality for interacting with Pinnacle Bets API: retrieving betting history retrieving fixtures (future events) retrieving odds for the given leagues (competitions) retrieving odds for the given events (games) placing a bet Should you need to get acquainted with the API, it provides documentation. multi core processor example Having dealt with the nuances of working with API in Python, we can create a step-by-step guide: 1. Get an API key An API Key is (usually) a unique string of letters and numbers. In order to start working with most APIs – you must register and get an API key. You will need to add an API key to each request so that the API can identify you.Python (>= 2.6.3/2.7.x) library to communicate with the Betfair Betting Exchange. Introduction. BfPy eases the communication with the Betfair API by:.Python library that gets odds on any event for all major sports, and almost 30 different sportsbooks What's up fellow degens. I wrote and released a Python package that accesses Sportsbook Review's GraphQL endpoint (sportsbookreview.com). This means you can access any odds information found on SBR in the time it takes to load a webpage.WebSportsipy is a free python API that pulls the stats from www.sports-reference.com and allows them to be easily be used in python-based applications, especially ones involving data analytics and machine learning. Sportsipy exposes a plethora of sports information from major sports leagues in North America, such as the MLB, NBA, College Football ... Right now, the critical task will be in the real sports betting API implementation. For our project, we’ll be using TheRundown‘s sports betting API. Connect to TheRundown API. How to use TheRundown’s Sports Betting API on RapidAPI Prerequisites. Of course, different implementations require some technical stack. In our case, we will use Python. But we won’t just run the necessary Python files, we will also focus on the web application.Returns a list of dynamic data about a market and a specified runner. Dynamic data includes prices, the status of the market, the status of selections, the traded volume, and the status of any orders you have placed in the market.. Retrieve profit and loss for a given list of OPEN markets. tier list healer dislyte The Top 6 Python Betting Odds Open Source Projects Topic > Betting Odds Categories > Programming Languages > Python Sports Betting ⭐ 122 Sports betting assistant (with interface) which optimizes earnings regarding odds and offers most recent commit a year ago Scrapeop ⭐ 38 A python package for scraping oddsportal.com most recent commit a year agoHello, We are looking to build a fully operational betting website using, Betfair API, for 6 games. It will be running on my servers. Betting will be done on Points system (or virtual) and it should have fully operational Admin Panel to look performance of our direct client, agents (franchise) and their clients. Budget is in the headlines. DON'T RESPOND WITH OFFENSIVE EXPECTATIONS. Required ... Jan 03, 2022 · Using Python, a pseudo code for the main backtest assuming we always take the maximum value will be: cumulated_wealth = 0 for a_match in match_data: odds = a_match ["odds"] probabilities =... Surebet is Python library for easily calculate betting odds, arbritrage betting opportunities and calculate value bet sizes python python3 betting arbitrage odds arbitrage-bot Updated yesterday Python LeartS / betbot Star 29 Code Issues Pull requests Arbitrage betting bot in Python python betting arbitrage surebet Updated on Dec 14, 2014 PythonThis video will show you how to get free soccer/football data using the API from data company Statsbomb to access their open data.Finding free data is probab... module 1 sam project 1a So first get the total amount bet: total = sum (x [1] for x in bets.values ()); then the total of correct bets: wtotal = sum (x [1] for x in bets.values () if x [0] == TEAM_BLUE); then go though the bettors: for p in bets.keys (): if bets [p] [0] == TEAM_BLUE: payout = total * bets [p] [1] / wtotal Share Improve this answer FollowFeb 28, 2020 · Read the data into Python Step #2: Transform the data Add new features First, we create the goal_difference variable as the difference between home_goals and visitor_goals. It is greater than 0 when the home team wins and less than 0 when the home team loses while being 0 when two teams tie. WebMatch API Get real-time scores and other data required to build a dedicated cricket match page. The match status, team lineups, player of the match and other relevant data are also available. $1.5 Per Match with Enterprise Plan Tournament Fixtures API Get the match keys, venues, start dates and end dates for the matches of a specific tournament. $0The sports industry is one of the most attractive and sturdy in entertainment. The level of attention to the top sports events is impressively high. That’s why sports betting is an exciting way ...Architecture Logicielle & Python Projects for £150 - £300. Hello! One year ago I posted a job here, to configure the odds feed of a sports betting API, with the data automatically updating new rows into google sheets, based on various conditions.WebI am trying to access Microsoft cost management - Query Usage API using Python script. I am able to get the output JSON response with 6 columns of data (PreTaxCost,UsageDate,ResourceGroup,ResourceType,ResourceLocation,Currency) using the below same POST request body in Microsoft API portal, Power BI and in Azure data factory.WebMatch API Get real-time scores and other data required to build a dedicated cricket match page. The match status, team lineups, player of the match and other relevant data are also available. $1.5 Per Match with Enterprise Plan Tournament Fixtures API Get the match keys, venues, start dates and end dates for the matches of a specific tournament. $0Welcome To api-basketball We work hard every day In order to provide you with a quality API, we are working every day on new features. Find the complete list of features on our documentation. COVERAGE We cover most major and minor competitions with livescore, standings, teams, odds, bookmakers EASY INTEGRATIONNov 30, 2021 · Open Developer Tools with Ctrl+Shift+I (or Cmd+Opt+I on macOS). Select the Network tab. Navigate to a page of interest on stake.com or perform an operation like placing a bet. Under the Network tab, look through the “ graphql ” requests for the one that matches the request you are interested in. 28-Feb-2020 ... Check out the data science strategy I used to make $20000 betting on sports. ... to sports bet smarter using Python and also more tips about it.Bookmakers. All of our subscriptions give access to all bookmakers. Bookmakers are segmented by region, which can be specified in an API request or in the add-on for Excel and Google Sheets . Regions include: We continually add bookmakers: suggest new bookmakers. As of October 2022, these bookmakers are covered for moneyline odds markets.Developer should access the the following url [login to view URL] and obtain one month of horse racing type 'R' data including the runners in each race, the fixed win odds and the finishing position of the first 4 horses. Deliverables are a .csv containing the data and the source code in Python1. Implement HTTP GET Request: Let us execute the most used HTTP method, “GET,” which retrieves the requested resource data. We can also send query parameters to retrieve specific data. Console:...APY is a popular metric that allows holders of deposit accounts to accurately understand the amount of interest income generated by their account. Many of the offers appearing on this site are from advertisers from which this website receiv...WebPinnacle has over 20 years experience offering the best odds and highest limits online. Bet today to discover why we are the choice for serious bettors.Bookmakers. All of our subscriptions give access to all bookmakers. Bookmakers are segmented by region, which can be specified in an API request or in the add-on for Excel and Google Sheets . Regions include: We continually add bookmakers: suggest new bookmakers. As of October 2022, these bookmakers are covered for moneyline odds markets.Web1. Implement HTTP GET Request: Let us execute the most used HTTP method, "GET," which retrieves the requested resource data. We can also send query parameters to retrieve specific data. Console:...Feb 28, 2020 · And by doing so, I made a $20,000 profit from sports betting during that year. Sports betting could be more than using your gut feeling. You could have better odds by adding proper data analysis and predictive modeling. This guide will show you the step by step algorithm to sports bet smarter using Python and also more tips about it. Let’s ... grs stock for cz457 0.1 Setup. Once again I'll be presenting the analysis in a jupyter notebook and will be using python as a programming language. Some of the data processing code takes a while to execute - that code will be in cells that are commented out - and will require a bit of adjustment to point to places on your computer where you want to locally store the intermediate data files. Web which wallet does this btc address belong to WebWebThe Vendor Web API is available to licensed Software Vendors to create web-based betting applications. The API operations enable the web application to carry out operations on the users behalf using the OAuth2 protocol. For Example Create web-based trading and betting tools. Integrate Exchange odds and betting on your website ...Right now, the critical task will be in the real sports betting API implementation. For our project, we'll be using TheRundown 's sports betting API. Connect to TheRundown API How to use TheRundown's Sports Betting API on RapidAPI Prerequisites Of course, different implementations require some technical stack. In our case, we will use Python.The sports industry is one of the most attractive and sturdy in entertainment. The level of attention to the top sports events is impressively high. That’s why sports betting is an exciting way ...19-Aug-2019 ... Testing out an old betting system Martingale with algorithmic trading in Python. This article talks about applying a theoretical betting ...The Top 6 Python Betting Odds Open Source Projects Topic > Betting Odds Categories > Programming Languages > Python Sports Betting ⭐ 122 Sports betting assistant (with interface) which optimizes earnings regarding odds and offers most recent commit a year ago Scrapeop ⭐ 38 A python package for scraping oddsportal.com most recent commit a year agoWebThe Odds API offers odds data for the following betting markets ... The Live Odds API delivers near real-time odds for live (in-play) and upcoming sports ... injection to lose weight australia 19-Aug-2019 ... Testing out an old betting system Martingale with algorithmic trading in Python. This article talks about applying a theoretical betting ...Pinnacle has over 20 years experience offering the best odds and highest limits online. Bet today to discover why we are the choice for serious bettors.Returns a list of dynamic data about a market and a specified runner. Dynamic data includes prices, the status of the market, the status of selections, the traded volume, and the status of any orders you have placed in the market.. Retrieve profit and loss for a given list of OPEN markets.20 hours ago · I am trying to access Microsoft cost management - Query Usage API using Python script. I am able to get the output JSON response with 6 columns of data (PreTaxCost,UsageDate,ResourceGroup,ResourceType,ResourceLocation,Currency) using the below same POST request body in Microsoft API portal, Power BI and in Azure data factory. wanted comic The Odds API covers the betting markets listed below. These are the most common markets that are featured by bookmakers. We are exploring additional markets to add in future. Types of Betting Markets Terminology for betting markets can vary by country, sport and even amongst bookmakers. We try to simplify this by defining the following marketsSurebet is Python library for easily calculate betting odds, ... Tools to scrape data from the riot API and calculate stats used for eSports betting, ...Hello, We are looking to build a fully operational betting website using, Betfair API, for 6 games. It will be running on my servers. Betting will be done on Points system (or virtual) and it should have fully operational Admin Panel to look performance of our direct client, agents (franchise) and their clients. Budget is in the headlines. DON'T RESPOND WITH OFFENSIVE EXPECTATIONS. Required ...What you'll learn. One Mega course with 30+ practical topics. Pandas, Numpy, Machine Learning, AWS Services, GraphQL, APIs Developments. Create and analyze projects via Python Pandas, Numpy libraries and more. Learn about building APIs, working with Databases like MongoDB, Cassandra. How to use Amazon S3, SQS and other services as a DevOps.07-Nov-2021 ... In this video I show you how to place your first automated bet through the Smarkets API.Please don't gamble, you need to be over 18 to use ...03-Sept-2021 ... While sports betting API like cricket, Indian Fancy, Casino, odds, Cricket, score, match odds, horse racing, Betfair and football include ... schedule n drugs list You simply divide the total money bet among the winners in proportion to their bets (and if you're a racetrack, after taking 10% vig off the top :-(So first get the total amount bet: total = sum(x[1] for x in bets.values()); then the total of correct bets: wtotal = sum(x[1] for x in bets.values() if x[0] == TEAM_BLUE); then go though the bettors:WebWelcome back to another Python tutorial! Today, we're getting into finance. The goal of this mini-series is to show you how to create a trading bot in Python... how to wire a house for cable and internet Project description pybet365 Python Wrapper for Bet365 API Free software: MIT license Documentation: https://pybet365.readthedocs.io. Installation From source $ git clone https://github.com/leonkozlowski/pybet365.git $ cd pybet365 $ python3.8 -m venv venv $ source venv/bin/activate $ pip install -e .Breaking down the code: options = Options()creates an instance of the Options class options.headless = True turns on the headless mode; options.add_argument('window-size=1920x1080') opens the windows in a customized size on the background webdriver.Chrome(path, options = options) applies the changes we made in the chromedriver driver.get opens the browserWebThe Odds API offers odds data for the following betting markets ... The Live Odds API delivers near real-time odds for live (in-play) and upcoming sports ... nickelodeon cartoons Free Sports API: Sports Data for Developers. Get sports data from all over the world with our sports data API. All results are returned in easy-to-read JSON format. All Major Sports. All Major Leagues. Real-time Data for Live Matches. Fair Pricing. Sign up for free plan view pricing.Jul 30, 2020 · Project description pybet365 Python Wrapper for Bet365 API Free software: MIT license Documentation: https://pybet365.readthedocs.io. Installation From source $ git clone https://github.com/leonkozlowski/pybet365.git $ cd pybet365 $ python3.8 -m venv venv $ source venv/bin/activate $ pip install -e . This statement imports the meraki and os python libraries. import meraki,os . This block of code allows the script to read the .env file. from dotenv import load_dotenv. load_dotenv() This statement sets the API key for the meraki library functions imported. dashboard = meraki.DashboardAPI(API_KEY) This block of code is the function. def get ... WebSurebet is Python library for easily calculate betting odds, arbritrage betting opportunities and calculate value bet sizes python python3 betting arbitrage odds arbitrage-bot Updated yesterday Python LeartS / betbot Star 29 Code Issues Pull requests Arbitrage betting bot in Python python betting arbitrage surebet Updated on Dec 14, 2014 Python Jan 31, 2019 · import bets api = bets.betsapi('') # get token via admin ui bets = api.get_active_bets() # list of active bets (same as on dashboard) len(bets) # => 70 bets[13] # => {...} dict that represents the bet bets = api.get_active_bets(project_id=123) # list of active bets filtered by project id len(bets) # => 20 # see docstrings for more on available … catoosa county right 2 know