How to scrape Google sports results

SerpApi's Google Sports Results API provides structured JSON data from Google Search for sports matches, tournaments, and teams, including scores, rosters, standings, and highlights, handling web scraping and parsing for developers. The API is available through a free SerpApi account, with paid upgrades for higher capacity.

Google Search can provide detailed information about past sports matches, ongoing games, teams, players, scheduled events, leagues, and tournaments. For individual games, that information can include the score, team rosters, statistics like passes and possession, location, and other facts. Google also provides the same data through its Gemini chatbot and Google Assistant https://support.google.com/googlehome/answer/7071998?hl=en . The Google Sports Results API https://serpapi.com/sports-results from SerpApi provides all that data in simple JSON format, ready for any programming language or automation. SerpApi handles the web scraping, HTML parsing, proxy network, captcha puzzles, and other challenges for you. What can you scrape from Google sports results? Here's some of the data you can extract for individual sports matches on Google, using SerpApi: Title: The game's main title, like "Super Bowl LX" or "Mexico vs England." League: The league or tournament for the game, such as "NFL" or "FIFA World Cup 2026." Stage: The stage of the game's tournament, like "Round of 16" or "Super Bowl." Score: The game's score, if it has started. Timeline: A feed of commentary and other events from the game, with timestamps. Date: The time and date of the game. Status: The current status of the game, like "Live" for an ongoing event, or "Final" or "Full-time" for a completed match. Teams: Information about the teams, which can include their team names, goals, penalties, and lists of players. Location: The physical location of the game, such as "Mexico City Stadium." Highlights: Videos from the game, with each result containing a title, video URL, thumbnail image URL, and time duration. You can also pull information for sports tournaments or leagues using SerpApi, which can include this data: Title: The title of the tournament or league, such as "FIFA World Cup 2026." Games: A list of games in the tournament or league, with each game containing the teams, score, start and end time, stadium, highlights, and other information. Highlighted game: The current recommended game from Google, like an ongoing match or the next game, with information about the teams and location. Groups: The groups or rounds of the tournament, like "Quarter-finals" or "Round of 16." Standings: The team's standings in any available leagues or tournaments. Players: A list of players in the team, with full names, positions/roles, a link to their page on Google, and thumbnail images. The kgmid knowledge graph ID is also available for each player, to fetch additional information about them. Google can provide results for a sports team, which SerpApi also extracts: Title: The name of the team, like "Canada men's national soccer team." Thumbnail: The thumbnail image for the team, such as the nation's flag. Games: A list of the team's recent games, with each one including a score, teams, tournament, and other information. Standings: The team's current standings in an ongoing or recent tournament. The documentation for the Google Sports Results API https://serpapi.com/sports-results contains more examples of search results with their structured JSON. For more complete use cases, check out our blog post on monitoring World Cup scores with SerpApi https://serpapi.com/blog/monitoring-fifa-world-cup-scores-api/ . Getting started with SerpApi Before getting started with the Google Sports Results API, you need a free SerpApi account. That also includes access to other engines, like the Google Search API https://serpapi.com/search-api , DuckDuckGo Search API https://serpapi.com/duckduckgo-search-api , and Yahoo Search API https://serpapi.com/yahoo-search-api . You can upgrade to a paid account https://serpapi.com/pricing later if you need more search capacity, faster speeds, or other features. First, you need to create an account https://serpapi.com/users/sign up and verify your email and other details. After that, get the API key from your account dashboard https://serpapi.com/manage-api-key . Make sure to store your API key in a safe location https://serpapi.com/blog/how-to-securely-store-api-keys/ if you are sharing or publishing your code. If the key is leaked or stolen, you can make a new one from the SerpApi account dashboard. Install the SerpApi library optional You can use SerpApi's official libraries https://serpapi.com/integrations for Python, JavaScript, Ruby, Java, and other languages. They provide a simple wrapper around the API requests. However, the libraries are not required. You can still make API calls with cURL, fetch in Node.js, or anything else that can send GET requests and process a JSON response. Review the Google Sports Results API documentation All the APIs at SerpApi have extensive documentation that covers all the supported parameters and filters, code examples for popular languages, and example JSON responses. This post covers some of the basic usage for parsing Google sports results, and you can find everything else at the documentation page https://serpapi.com/sports-results . Some sports data can be accessed through requests to the Google Search API, using the q parameter for your query like "super bowl lx" or "mexico football team" . Some details, like the tournament or stadium, will include a Google Knowledge Graph ID kgmid that you can search with the Google Sports API for additional information. You can also find the Google Knowledge Graph ID https://serpapi.com/blog/how-to-find-google-knowledge-graph-id-kgmid/ with a few other methods, like a query to Wikidata or manual extraction from Google search results. How to scrape Google sports results If you have your API key, you're ready to start pulling data from Google sports results. The results will be identical across all libraries and GET requests, so use whichever method you want. GET request This performs a Google search for "Canada men's football team" from the US with a simple GET request, which includes a sports results object in the JSON response: https://serpapi.com/search.json?engine=google&q=canada+men%27s+football+team&gl=us&hl=en&api key=YOUR KEY GOES HERE That sports results object contains a kgmid key for one of the games, with a value of /g/11yfm8t8yy . You can use search that with the Google Sports API to get full details for the game: https://serpapi.com/search.json?engine=google sports&gl=us&hl=en&kgmid=%2Fg%2F11yfm8t8yy&sp=ft&type=game&api key=YOUR KEY GOES HERE That API request can be created manually, with the kgmid parameter set to the provided value, type set to game , and sp set to ft for football. You can also use the pre-made request provided in the google sports serpapi link key. You can also use SerpApi's JSON Restrictor feature https://serpapi.com/json-restrictor to trim the API response to specific values. This is the same search, but only returning sports data, excluding the organic search results and other information from Google: https://serpapi.com/search.json?engine=google&q=canada+men%27s+football+team&gl=us&json restrictor=sports results&api key=YOUR KEY GOES HERE This can be useful if you need more efficient parsing, like when using an LLM with a limited context window. Python This uses the official SerpApi Python library https://serpapi.com/integrations/python to search for the Mexican men's football team, and if a recent game is listed, the full lineup is displayed for both teams in the game: python import serpapi client = serpapi.Client api key=YOUR KEY GOES HERE Start initial search firstResponse = client.search { "engine": "google", "q": "mexico men's football team", "gl": "us", "hl": "en" } firstGame = firstResponse.get "sports results", {} .get "games", None 0 if firstGame: print f"Found game at {firstGame 'venue' } on {firstGame 'date' }" Get more details if an ID is present if "kgmid" in firstGame: secondResponse = client.search { "engine": "google sports", "kgmid": firstGame "kgmid" , "gl": "us", "hl": "en", "type": "game", "sp": "ft" ft for Football } if secondResponse.get "game results", {} .get "lineups", None : for team in secondResponse "game results" "lineups" "teams" : print f"\nTeam {team "team index" + 1}:" for player in team "starters" : print f"{player "name" } {player "jersey number" } " Ruby This searches for a baseball game on Google and retrieves the game's ID, then performs another search with that ID, using the SerpApi Ruby gem https://serpapi.com/integrations/ruby . Finally, the data for all innings from the second search is displayed: require "serpapi" Start initial search first req = SerpApi::Client.new engine: "google", q: "blue jays mariners game", gl: "us", hl: "en", api key: YOUR KEY GOES HERE Find the game ID and search it for more information game id = first req.search.dig :sports results, :game spotlight, :kgmid if game id second req = SerpApi::Client.new engine: "google sports", hl: "en", kgmid: game id, sp: "bb", type: "game", api key: YOUR KEY GOES HERE Get the list of teams game teams = second req.search.dig :game results, :info, :teams Display the innings for each team for team in game teams do puts "\n {team :name } - Total score: {team :score }\n=====" for inning in team.dig :linescore do puts " {inning :title }: {inning :score }" end end end JavaScript and Node.js Here's how you can use the SerpApi JavaScript library https://serpapi.com/integrations/javascript to search for a football team, and if there is a recent or ongoing game, use that game's ID to show all statistics: js import { getJson } from 'serpapi'; // Start initial search and get game ID const firstSearch = await getJson { engine: "google", q: "US women's football team", gl: "us", hl: "en", api key: YOUR KEY GOES HERE } ; const gameID = firstSearch?.sports results?.games?. 0 ?.kgmid; // Start second search to get more details if gameID { const secondSearch = await getJson { engine: "google sports", kgmid: gameID, gl: "us", hl: "en", sp: "ft", // Football type: "game", api key: YOUR KEY GOES HERE } ; const teams = secondSearch?.game results?.info?.teams; for const i in teams { console.log \n${teams i .name} - Score ${teams i .score}\n===== ; // Print all available stats for each team const stats = secondSearch?.game results?.team stats?.teams?. i ?.stats; for const a in stats { console.log ${stats a .title} - ${stats a .value} ; } } } cURL Here's how you can retrieve details about a football game, like per-team statistics and highlights, using a cURL request: curl --get https://serpapi.com/search \ -d api key="YOUR KEY GOES HERE" \ -d engine="google sports" \ -d hl="en" \ -d kgmid="/g/11n3xxgprk" \ -d sp="ft" \ -d type="game" Other languages and no-code solutions You can still use the API directly with GET requests get-request , even if there isn't an official SerpApi integration for your preferred environment or language. SerpApi also works with Make.com https://serpapi.com/blog/announcing-serpapis-make-app/ , N8N https://serpapi.com/blog/boost-your-n8n-workflows-with-serpapis-verified-node/ , and other tools. Conclusion Google Search has access to a wide range of past and live sports data, across football, cricket, ice hockey, American football, and other sports. With the Google Search API https://serpapi.com/search-api and Google Sports Results API https://serpapi.com/sports-results from SerpApi, you can pull all those results into any automation or programming language. If you need help using SerpApi, please contact us https://serpapi.com/ contact .