# Covers.com Game Odds Scraper (`bovi/covers-scraper`) Actor Collect public game schedules and sportsbook odds from Covers.com for NFL, MLB, NBA, NHL, WNBA, CFL and more. Returns matchup, start time, team moneylines, public pick percentages and best game totals when published. - **URL**: https://apify.com/bovi/covers-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Other, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 1,000 covers.com game odds scrapers This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Covers.com Game Odds Scraper Collect public upcoming game matchups and sportsbook prices from Covers.com. The Actor reads Covers' public game-center JSON endpoint and returns one dataset item per game. A record includes the league, Covers game ID, scheduled time labels, team names and abbreviations, team pages, available moneyline prices and books, public pick percentages, and the best over and under prices when Covers publishes them. Unavailable odds are omitted from a record. ### Input - Leagues: select one or more of NFL, NCAAF, CFL, NBA, NCAAB, WNBA, MLB, NHL, MLS, English Premier League, Champions League, and UFC. The default is MLB and NFL. - Sportsbook market: choose a country code such as US, CA, or GB. The default is US. - Maximum results: stop after this many game records. The default is 50. - Proxy configuration: optional. The Actor uses the supplied Apify proxy only when enabled. With no proxy or with useApifyProxy set to false, it connects directly. The Actor requests the selected Covers league tabs and stops once the maximum result count is reached. If a selected board is unavailable, the run logs a warning and continues to the next selected league. Covers may omit prices for games whose lines have not been posted; those fields are left out of the record. ### Example output ``` { "gameId": "395500", "league": "MLB", "startTime": "2026-10-15T13:00:00", "dateLabel": "15 Oct", "timeLabel": "1:00 PM ET", "away": { "name": "Tampa Bay Rays", "abbr": "TB", "pickPercent": 54, "moneyline": { "americanOdds": 116, "book": "bet365", "oddsDate": "2026-10-15T05:46:53+00:00" } }, "home": { "name": "Cleveland Guardians", "abbr": "CLE", "pickPercent": 46, "moneyline": { "americanOdds": -125, "book": "bet_rivers_co", "oddsDate": "2026-10-15T03:44:11+00:00" } }, "total": { "line": 6.5, "over": { "americanOdds": -113, "book": "BetRivers" }, "under": { "americanOdds": 100, "book": "BetMGM" } } } ``` ### Price per result Reference price: $0.007 per game result, matching the supplied Covers champion listing's game event rate. Platform billing is applied to dataset items. The Actor collects information that Covers.com publishes publicly. Odds and public pick percentages are market data, not betting advice. # Actor input Schema ## `leagues` (type: `array`): Leagues to collect from Covers.com. The default is MLB. ## `countryCode` (type: `string`): Country market used by Covers to select the sportsbook lines. ## `maxResults` (type: `integer`): Maximum number of game records to collect. ## `proxyConfiguration` (type: `object`): Optional Apify proxy. If omitted or disabled, Covers is fetched directly. ## Actor input object example ```json { "leagues": [ "mlb", "nfl" ], "countryCode": "us", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset with the scraped game records. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "leagues": [ "mlb", "nfl" ], "countryCode": "us", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/covers-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "leagues": [ "mlb", "nfl", ], "countryCode": "us", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/covers-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "leagues": [ "mlb", "nfl" ], "countryCode": "us", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/covers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/covers-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/Wz3IDMNKBdo3pawgk/builds/Cj0JFZCzWdu7HGxbm/openapi.json