{"id":2976,"date":"2026-06-17T10:00:00","date_gmt":"2026-06-17T10:00:00","guid":{"rendered":"https:\/\/oddspapi.io\/blog\/?p=2976"},"modified":"2026-06-05T15:21:23","modified_gmt":"2026-06-05T15:21:23","slug":"how-often-odds-apis-update","status":"publish","type":"post","link":"https:\/\/oddspapi.io\/blog\/how-often-odds-apis-update\/","title":{"rendered":"How Often Do Odds APIs Update? Polling vs WebSockets in Python"},"content":{"rendered":"<p>&#8220;How often does an odds API update?&#8221; is the first question every developer asks before wiring a feed into a bot \u2014 and the honest answer is: <em>it depends on the market, the sport, and how you ask for the data<\/em>. A pre-game moneyline three weeks out might sit still for hours. The same fixture, live and in-play, can reprice dozens of times a minute. If your code polls on a dumb fixed timer, you either hammer the API for data that hasn&#8217;t changed or you miss the move that mattered.<\/p>\n<p>This guide explains how odds update frequency actually works, how to read the timestamps that tell you <em>when<\/em> a price last moved, and the two ways to consume updates \u2014 polling the REST endpoint vs. subscribing to a WebSocket push from <strong>350+ bookmakers<\/strong>. All the code is tested against the live OddsPapi API.<\/p>\n<h2>Why Odds Update at All (and How Fast)<\/h2>\n<p>Bookmaker prices move for three reasons: money coming in on one side, the sharps (Pinnacle, SBOBet, Singbet) repricing their model, and in-play game events. The cadence is wildly different depending on the state of the market:<\/p>\n<figure class=\"wp-block-table\">\n<table>\n<thead>\n<tr>\n<th>Market state<\/th>\n<th>Typical update cadence<\/th>\n<th>What&#8217;s driving it<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Pre-game, days out<\/td>\n<td>Minutes to hours<\/td>\n<td>Early sharp money, opening-line discovery<\/td>\n<\/tr>\n<tr>\n<td>Pre-game, last hour<\/td>\n<td>Seconds to minutes<\/td>\n<td>Steam, late money, lineup news<\/td>\n<\/tr>\n<tr>\n<td>Live \/ in-play<\/td>\n<td>Sub-second to seconds<\/td>\n<td>Goals, possession, clock, momentum<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<p>To make this concrete: we polled a single live soccer fixture twice, 25 seconds apart. In that window, <strong>36 individual outcomes repriced<\/strong> across the books on the fixture \u2014 Kalshi nudged the home price from 1.136 to 1.124, Pinnacle moved an Over\/Under 3.5 line from 3.30 to 3.40. That&#8217;s the in-play reality. Your job as a developer is to capture those moves without drowning in redundant requests. The trick is timestamps.<\/p>\n<h2>The Two Timestamps That Tell You When a Price Moved<\/h2>\n<p>Every outcome in the OddsPapi <code>\/odds<\/code> response carries two timestamps. Knowing the difference between them is the whole game:<\/p>\n<ul>\n<li><strong><code>bookmakerChangedAt<\/code><\/strong> \u2014 when <em>the bookmaker itself<\/em> last moved the price.<\/li>\n<li><strong><code>changedAt<\/code><\/strong> \u2014 when <em>OddsPapi<\/em> last observed a change to that outcome.<\/li>\n<\/ul>\n<p>Here is a real, unedited outcome object \u2014 Pinnacle&#8217;s home price on a World Cup 2026 fixture, pulled live:<\/p>\n<pre class=\"wp-block-code\"><code>{\n  \"active\": true,\n  \"betslip\": null,\n  \"bookmakerOutcomeId\": \"home\",\n  \"bookmakerChangedAt\": \"2026-06-05T08:46:15.557Z\",   \/\/ book moved it\n  \"changedAt\": \"2026-06-05T08:46:15.947Z\",            \/\/ OddsPapi saw the change\n  \"limit\": 8775.0,\n  \"playerName\": null,\n  \"price\": 1.641,                                     \/\/ decimal odds\n  \"priceAmerican\": \"-156\",                            \/\/ same price, American (string)\n  \"priceFractional\": \"25\/39\",                         \/\/ same price, fractional (string)\n  \"mainLine\": true,\n  \"exchangeMeta\": null\n}<\/code><\/pre>\n<p>The feed pre-converts every price into decimal, American, and fractional \u2014 no converter to write. But the field that drives your update logic is <code>changedAt<\/code>: if it&#8217;s newer than the last time you saw it, the price moved. That single comparison is the core of an efficient odds consumer.<\/p>\n<h2>Polling vs. WebSocket: Two Ways to Get Updates<\/h2>\n<p>There are exactly two models for consuming odds updates. Most generic APIs only give you the first one.<\/p>\n<figure class=\"wp-block-table\">\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th>Polling (REST)<\/th>\n<th>WebSocket (push)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>How it works<\/strong><\/td>\n<td>You ask &#8220;what&#8217;s the price now?&#8221; on a timer<\/td>\n<td>The server pushes the new price the moment it changes<\/td>\n<\/tr>\n<tr>\n<td><strong>Latency<\/strong><\/td>\n<td>Up to your poll interval (e.g. 5s)<\/td>\n<td>Near real-time \u2014 you get the move as it lands<\/td>\n<\/tr>\n<tr>\n<td><strong>Wasted calls<\/strong><\/td>\n<td>High \u2014 most polls return unchanged data<\/td>\n<td>Zero \u2014 you only receive actual changes<\/td>\n<\/tr>\n<tr>\n<td><strong>Best for<\/strong><\/td>\n<td>Pre-game, scheduled scans, backtests<\/td>\n<td>Live in-play, arb\/steam detection, trading<\/td>\n<\/tr>\n<tr>\n<td><strong>OddsPapi support<\/strong><\/td>\n<td>\u2705 <code>\/odds<\/code> REST endpoint<\/td>\n<td>\u2705 Real-time WebSocket on 350+ books<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<p>The rule of thumb: <strong>poll when the data is slow-moving, stream when it&#8217;s fast.<\/strong> Let&#8217;s build both.<\/p>\n<h2>Method 1: Detecting Updates by Polling (Python)<\/h2>\n<h3>Step 1 \u2014 Authenticate<\/h3>\n<p>Auth is a query parameter, not a header. One key, every endpoint:<\/p>\n<pre class=\"wp-block-code\"><code>import requests, time\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\n# Smoke test\nr = requests.get(f\"{BASE_URL}\/sports\", params={\"apiKey\": API_KEY})\nprint(r.status_code)  # 200<\/code><\/pre>\n<h3>Step 2 \u2014 Snapshot every price with its changedAt<\/h3>\n<p>The <code>\/odds<\/code> response is deeply nested: <code>bookmakerOdds \u2192 slug \u2192 markets \u2192 outcomes \u2192 players[\"0\"]<\/code>. We flatten it into a flat dict keyed by <code>(book, market, outcome)<\/code> so we can diff two snapshots cheaply:<\/p>\n<pre class=\"wp-block-code\"><code>def snapshot(fixture_id):\n    \"\"\"Return {(book, market, outcome): (changedAt, price)} for a fixture.\"\"\"\n    r = requests.get(f\"{BASE_URL}\/odds\",\n                     params={\"apiKey\": API_KEY, \"fixtureId\": fixture_id})\n    books = r.json().get(\"bookmakerOdds\", {})\n    snap = {}\n    for slug, book in books.items():\n        for market_id, market in book.get(\"markets\", {}).items():\n            for outcome_id, outcome in market.get(\"outcomes\", {}).items():\n                price = outcome[\"players\"][\"0\"]   # live odds: dict, single price\n                key = (slug, market_id, outcome_id)\n                snap[key] = (price.get(\"changedAt\"), price.get(\"price\"))\n    return snap<\/code><\/pre>\n<h3>Step 3 \u2014 Diff two polls to find what moved<\/h3>\n<p>An outcome moved if its <code>changedAt<\/code> is different between two polls. This is the entire detection mechanism \u2014 no guessing, no storing full price history:<\/p>\n<pre class=\"wp-block-code\"><code>fixture_id = \"id1000078065454466\"   # a live in-play fixture\n\nbefore = snapshot(fixture_id)\ntime.sleep(25)                       # wait, then re-poll\nafter = snapshot(fixture_id)\n\nmoved = [k for k in before\n         if k in after and before[k][0] != after[k][0]]\n\nprint(f\"{len(moved)} outcomes moved in 25 seconds\")\nfor slug, market_id, outcome_id in moved[:5]:\n    old = before[(slug, market_id, outcome_id)][1]\n    new = after[(slug, market_id, outcome_id)][1]\n    print(f\"  {slug} {market_id}\/{outcome_id}: {old} -> {new}\")<\/code><\/pre>\n<p>Run against a live fixture, this printed <code>36 outcomes moved in 25 seconds<\/code> with lines like <code>kalshi 101\/101: 1.136 -> 1.124<\/code> and <code>pinnacle 1012\/1012: 3.3 -> 3.4<\/code>. You&#8217;re now detecting real market movement with a six-line diff \u2014 the same primitive that powers a <a href=\"https:\/\/oddspapi.io\/blog\/steam-move-detector-python\/\">steam move detector<\/a> or an <a href=\"https:\/\/oddspapi.io\/blog\/arbitrage-betting-bot-python\/\">arbitrage scanner<\/a>.<\/p>\n<h3>Step 4 \u2014 Poll on a sane interval<\/h3>\n<p>How often should <em>you<\/em> poll? Match the interval to the market and respect the rate limit. The free tier has roughly a <strong>0.88s cooldown<\/strong> between calls to the same endpoint, so a small sleep keeps you safe:<\/p>\n<pre class=\"wp-block-code\"><code>POLL_SECONDS = 5          # pre-game: 30-60s is plenty; in-play: 2-5s\nlast = {}\n\nwhile True:\n    current = snapshot(fixture_id)\n    moves = [k for k in current\n             if k in last and last[k][0] != current[k][0]]\n    if moves:\n        print(f\"{len(moves)} prices changed\")\n        # ... feed moves into your alert \/ arb \/ model logic\n    last = current\n    time.sleep(POLL_SECONDS)   # never poll the same endpoint faster than ~1\/sec<\/code><\/pre>\n<p>Polling is simple and perfect for pre-game scans, scheduled jobs, and backtests. But notice the inefficiency: at 5-second polls, most requests return data that hasn&#8217;t changed, and you&#8217;re still up to 5 seconds behind the market. For live trading, that gap is the difference between catching a steam move and chasing it. That&#8217;s what the WebSocket fixes.<\/p>\n<h2>Method 2: Real-Time Updates via WebSocket<\/h2>\n<p>Instead of asking &#8220;what&#8217;s the price now?&#8221; on a loop, you open one persistent connection and the server <strong>pushes<\/strong> each change the instant it happens \u2014 across all 350+ bookmakers, with no polling, no wasted calls, and no fixed-interval lag. You only ever receive actual updates.<\/p>\n<p>This is the model you want for in-play arbitrage, steam detection, and any latency-sensitive trading logic. We cover the full WebSocket subscription flow \u2014 connecting, subscribing to fixtures, and parsing the push messages \u2014 in the dedicated <a href=\"https:\/\/oddspapi.io\/blog\/websocket-odds-api-real-time-betting-data\/\">WebSocket Odds API guide<\/a>. The short version: it&#8217;s the difference between checking the scoreboard every few seconds and having the goals announced to you the moment they&#8217;re scored.<\/p>\n<figure class=\"wp-block-table\">\n<table>\n<thead>\n<tr>\n<th>Your use case<\/th>\n<th>Recommended model<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Daily line-shopping scan<\/td>\n<td>Polling, 30-60s<\/td>\n<\/tr>\n<tr>\n<td>Pre-game value scanner<\/td>\n<td>Polling, 10-30s<\/td>\n<\/tr>\n<tr>\n<td>Live in-play arbitrage<\/td>\n<td>WebSocket<\/td>\n<\/tr>\n<tr>\n<td>Steam \/ sharp-money alerts<\/td>\n<td>WebSocket (or 2-5s polling)<\/td>\n<\/tr>\n<tr>\n<td>Historical backtesting<\/td>\n<td>No polling \u2014 use <a href=\"https:\/\/oddspapi.io\/blog\/historical-odds-csv-excel-backtesting\/\">free historical odds<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<h2>The Honest Answer to &#8220;How Often Do Odds Update?&#8221;<\/h2>\n<p>There is no single number, and any API that gives you one is hiding something. Update frequency is a property of the <em>market<\/em>, not the feed: a quiet pre-game line might not move for an hour, while a live fixture reprices many times a minute. What a good odds API gives you is (1) accurate <code>changedAt<\/code> timestamps so you always know <em>when<\/em> a price last moved, and (2) a choice between polling and WebSocket push so you can match your consumption to your latency budget. OddsPapi gives you both, across 350+ books, on a free tier.<\/p>\n<h2>Get Your Free API Key<\/h2>\n<p>Stop polling blind. Read the <code>changedAt<\/code> timestamp, poll efficiently when you can, and stream via WebSocket when latency matters \u2014 all from one feed covering 350+ bookmakers including the sharps. <a href=\"https:\/\/oddspapi.io\/\">Grab your free OddsPapi API key<\/a> and start detecting line movement today.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How often do odds APIs update?<\/h3>\n<p>It depends on the market state. Pre-game lines days out may update only every few minutes to hours; the final hour before kickoff updates every few seconds; live in-play markets can reprice sub-second to several times a minute. OddsPapi exposes a <code>changedAt<\/code> timestamp on every outcome so you always know exactly when a price last moved.<\/p>\n<h3>What&#8217;s the difference between polling and WebSocket for odds data?<\/h3>\n<p>Polling means repeatedly requesting the current price on a timer (REST <code>\/odds<\/code> endpoint) \u2014 simple, but you&#8217;re limited by your poll interval and most requests return unchanged data. A WebSocket pushes each price change to you the instant it happens, giving near real-time updates with zero wasted calls. OddsPapi supports both.<\/p>\n<h3>How do I detect when an odds price changes in Python?<\/h3>\n<p>Compare the <code>changedAt<\/code> timestamp of each outcome between two polls. If <code>changedAt<\/code> is different, the price moved. Flatten the nested <code>\/odds<\/code> response into a dict keyed by (book, market, outcome) and diff two snapshots \u2014 a six-line comparison is enough.<\/p>\n<h3>How fast can I poll the OddsPapi API?<\/h3>\n<p>The free tier has roughly a 0.88-second cooldown between calls to the same endpoint, so keep at least a ~1-second gap. For pre-game data, 30-60 second polls are plenty; for live data, use 2-5 second polls or switch to the WebSocket to avoid polling entirely.<\/p>\n<h3>What&#8217;s the difference between changedAt and bookmakerChangedAt?<\/h3>\n<p><code>bookmakerChangedAt<\/code> is when the bookmaker itself last moved the price; <code>changedAt<\/code> is when OddsPapi last observed a change to that outcome. Use <code>changedAt<\/code> to drive your own update-detection logic.<\/p>\n<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\"@type\": \"Question\", \"name\": \"How often do odds APIs update?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"It depends on the market state. Pre-game lines days out may update only every few minutes to hours; the final hour before kickoff updates every few seconds; live in-play markets can reprice sub-second to several times a minute. 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Use changedAt to drive your own update-detection logic.\"}}\n  ]\n}\n<\/script><\/p>\n<p><!--\nFocus Keyphrase: how often do odds apis update\nSEO Title: How Often Do Odds APIs Update? Polling vs WebSockets (Python)\nMeta Description: How often do odds APIs update? Read changedAt timestamps, poll efficiently, and stream live moves via WebSocket from 350+ bookmakers with OddsPapi's free API.\nSlug: how-often-odds-apis-update\n--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How often do odds APIs update? Read changedAt timestamps, poll efficiently, and stream live moves via WebSocket from 350+ bookmakers with OddsPapi&#8217;s free API.<\/p>\n","protected":false},"author":2,"featured_media":2977,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[8,9,11,10,71],"class_list":["post-2976","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-how-to-guides","tag-free-api","tag-odds-api","tag-python","tag-sports-betting-api","tag-websocket"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How Often Do Odds APIs Update? 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