# UFC StatLeaders Scraper - Low-costπŸ’²πŸ”₯πŸ₯ŠπŸ“Š (`delectable_incubator/ufc-statleaders-scraper-low-cost`) Actor πŸ₯Š Easily scrape UFC StatLeaders statistics. Extract fighter rankings, statistical values, opponents, rounds, events, weight classes, countries, fighter profiles, headshots & source URLs. Perfect for UFC research, fighter performance analysis, sports statistics, ranking analysis and MMA datasets πŸ† - **URL**: https://apify.com/delectable\_incubator/ufc-statleaders-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. - **AI agents and MCP clients** β€” the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** β€” [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** β€” the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** β€” the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** β€” the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README

UFC StatLeaders Scraper

*** ## πŸ₯ŠπŸ“Š UFC StatLeaders Scraper | UFC Stats Scraper | Fighter Statistics | Apify Actor ### πŸš€ Extract UFC Fighter & Event Statistics in Seconds (No Code) The **UFC StatLeaders Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized scraping solution designed to extract detailed **UFC fighter, fight, round, and event statistics** directly from **UFC StatLeaders**. Collect structured UFC statistics across multiple StatLeaders sections including **Career, Fight, Fight (Comb.), Round, Round (Comb.), and Event**. Filter your extraction by **weight class and country**, select multiple sections at once, and collect detailed fighter statistics including rankings, stat names, values, opponents, rounds, events, fighter profiles, headshots, and source URLs. Perfect for **UFC research, MMA analytics, fighter performance analysis, sports intelligence, fight statistics, athlete research, rankings analysis, MMA datasets, sports data analysis, AI datasets, betting research, and automation**. *** ## πŸ”₯ Why This UFC StatLeaders Scraper? βœ” Powerful UFC StatLeaders Scraper on Apify βœ” UFC Fighter Statistics Extraction βœ” UFC Fight Statistics βœ” UFC Round Statistics βœ” UFC Event Statistics βœ” Career Statistics βœ” Fight (Comb.) Statistics βœ” Round (Comb.) Statistics βœ” Multiple Sections in One Run βœ” Multiple Weight Classes βœ” Multiple Countries βœ” Fighter Rankings βœ” Fighter Names βœ” Opponent Information βœ” Round Information βœ” Event Information βœ” Fighter Profile URLs βœ” Fighter Headshots βœ” Opponent Profile URLs βœ” Opponent Headshots βœ” Stat Groups βœ” Stat IDs βœ” Statistical Values βœ” Automatic Structured Extraction βœ” JSON / CSV / Excel Ready βœ” No Coding Required *** ## 🎯 What This Scraper Does This Apify Actor extracts structured statistics from the **UFC StatLeaders** platform. You can select one or multiple StatLeaders sections: πŸ₯Š **Career** πŸ₯Š **Fight** πŸ₯Š **Fight (Comb.)** πŸ₯Š **Round** πŸ₯Š **Round (Comb.)** 🎟️ **Event** The scraper can also filter supported sections by: βš–οΈ Weight Class 🌍 Country Multiple filters can be selected in the same run, allowing you to perform large-scale UFC statistics extraction. *** ## πŸ“Œ Supported StatLeaders Sections ### πŸ₯Š Career Extract career-level UFC statistics and fighter rankings. Useful for: πŸ“Š Career Performance Analysis πŸ† Fighter Rankings πŸ₯Š Fighter Comparison πŸ“ˆ Historical MMA Research *** ### βš”οΈ Fight Extract statistics related to individual UFC fights. Useful for: πŸ₯Š Fight Analysis πŸ“Š Performance Comparison πŸ”Ž Fighter Research πŸ“ˆ Historical Fight Analysis *** ### πŸ”₯ Fight (Comb.) Extract combined fight statistics from UFC StatLeaders. Useful for: πŸ“Š Combined Fight Performance πŸ₯Š Fighter Comparison πŸ“ˆ Statistical Research πŸ€– MMA Datasets *** ### πŸ”„ Round Extract statistics at the individual round level. Useful for: πŸ”Ž Round-by-Round Analysis πŸ“Š Performance Tracking πŸ₯Š Fighter Performance Research πŸ“ˆ Fight Analytics *** ### πŸ”₯ Round (Comb.) Extract combined round-level statistics. Useful for: πŸ“Š Advanced MMA Analytics πŸ₯Š Fighter Comparison πŸ”Ž Round Performance Research πŸ€– Sports Data Analysis *** ### 🎟️ Event Extract statistics related to UFC events. Useful for: πŸ“… UFC Event Research 🎟️ Event Analysis πŸ₯Š Fight Card Research πŸ“Š Historical UFC Data *** ## ⚑ Input Configuration The scraper allows you to select multiple sections, weight classes, and countries in a single run. Example configuration: ``` { "sections": [ "career", "fight", "fight-comb", "round", "round-comb", "event" ], "weightClasses": [ "ALL" ], "countries": [ "ALL" ], "maxItemsPerSearch": 200, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` *** ## πŸ₯Š Section Selection You can select one or multiple StatLeaders sections. Available sections: ```text career fight fight-comb round round-comb event ``` Example: ``` { "sections": [ "career", "fight" ] } ``` This allows you to focus the extraction on specific UFC statistical categories. *** ## βš–οΈ Weight Class Filters The scraper supports multiple UFC weight classes. Available options include: πŸ₯Š All πŸ₯Š Heavyweight πŸ₯Š Light Heavyweight πŸ₯Š Middleweight πŸ₯Š Welterweight πŸ₯Š Lightweight πŸ₯Š Featherweight πŸ₯Š Bantamweight πŸ₯Š Flyweight πŸ₯Š Women's Bantamweight πŸ₯Š Women's Flyweight πŸ₯Š Women's Strawweight Example: ``` { "weightClasses": [ "LIGHTWEIGHT", "WELTERWEIGHT", "MIDDLEWEIGHT" ] } ``` Multiple weight classes can be scraped in the same run. *** ## 🌍 Country Filters The scraper supports country-based fighter filtering. Available countries include: πŸ‡ΊπŸ‡Έ USA πŸ‡§πŸ‡· Brazil πŸ‡¨πŸ‡¦ Canada πŸ‡¦πŸ‡Ί Australia πŸ‡¨πŸ‡³ China πŸ‡―πŸ‡΅ Japan πŸ‡°πŸ‡· Korea πŸ‡²πŸ‡½ Mexico πŸ‡³πŸ‡Ώ New Zealand πŸ‡·πŸ‡Ί Russia πŸ‡ΈπŸ‡ͺ Sweden πŸ‡¬πŸ‡§ United Kingdom 🌍 All Countries Example: ``` { "countries": [ "USA", "BRAZIL", "CANADA" ] } ``` This makes it easy to build country-specific UFC datasets. *** ## πŸ“Š Extracted Data | Field | Description | | ------------------- | ------------------------------ | | section | StatLeaders section | | sectionLabel | Human-readable section name | | weightClass | UFC weight class | | weightClassCode | Weight class code | | country | Fighter country | | countryCode | Country code | | statGroup | Statistical group | | statId | Unique statistic identifier | | statName | Statistic name | | statNote | Statistic description or note | | rank | Statistical ranking | | fighterName | Fighter name | | fighterUrl | Fighter profile URL | | fighterHeadshotUrl | Fighter headshot | | opponentName | Opponent name | | opponentUrl | Opponent profile URL | | opponentHeadshotUrl | Opponent headshot | | round | Round information | | value | Statistical value | | eventName | UFC event name | | eventDate | UFC event date | | eventFightsCount | Number of fights on event card | | sourceUrl | Original StatLeaders URL | | scrapedAt | Extraction timestamp | *** ## πŸ† Fighter Rankings The scraper extracts UFC statistical rankings including: πŸ† Rank πŸ₯Š Fighter Name πŸ“Š Statistic πŸ”’ Statistical Value βš–οΈ Weight Class 🌍 Country This data can be used to identify top-performing UFC fighters across different statistical categories. *** ## πŸ₯Š Fighter Information When available, the scraper extracts: πŸ‘€ Fighter Name πŸ”— Fighter Profile URL πŸ–ΌοΈ Fighter Headshot 🌍 Country βš–οΈ Weight Class πŸ† Statistical Rank πŸ“Š Statistical Value This makes it possible to build structured fighter datasets for MMA research and analytics. *** ## βš”οΈ Opponent Information For statistics where opponent information is available, the Actor can extract: πŸ₯Š Opponent Name πŸ”— Opponent Profile URL πŸ–ΌοΈ Opponent Headshot πŸ”„ Round 🎟️ Event This is useful for fight-level and round-level analysis. *** ## πŸ“Š Statistical Information The scraper extracts detailed UFC statistical information including: πŸ“Š Stat Group πŸ”‘ Stat ID 🏷️ Stat Name πŸ“ Stat Note πŸ† Rank πŸ”’ Value This structure allows the resulting data to be easily analyzed or imported into databases and analytics platforms. *** ## 🎟️ UFC Event Information When available, the Actor extracts event-level information including: 🎟️ Event Name πŸ“… Event Date πŸ₯Š Number of Fights on Card πŸ”— Source URL This allows you to connect individual statistics with the UFC event where they occurred. *** ## πŸ”„ Multiple Filters & Bulk Extraction The Actor supports combinations of: πŸ₯Š Multiple Sections βš–οΈ Multiple Weight Classes 🌍 Multiple Countries πŸ“Š Multiple Statistical Categories For example: ``` { "sections": [ "career", "fight", "round" ], "weightClasses": [ "LIGHTWEIGHT", "WELTERWEIGHT" ], "countries": [ "USA", "BRAZIL" ], "maxItemsPerSearch": 200 } ``` This configuration allows large-scale UFC statistical datasets to be collected automatically. *** ## πŸ”’ Maximum Items per Search The `maxItemsPerSearch` parameter controls the maximum number of statistical rows collected for each combination of: **Section + Weight Class + Country** Example: ``` { "maxItemsPerSearch": 200 } ``` Increase this value when you need larger datasets. *** ## 🌐 Proxy Support The Actor supports Apify Proxy configuration. Residential proxies are recommended for reliable access to UFC StatLeaders. Example: ``` { "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` Proxy configuration can help provide more reliable and scalable extraction. *** ## πŸ’‘ Use Cases Perfect for: πŸ₯Š UFC Fighter Research πŸ“Š MMA Statistics πŸ† Fighter Rankings Analysis βš”οΈ Fight Performance Analysis πŸ”„ Round-by-Round Analysis 🎟️ UFC Event Research πŸ“ˆ Sports Analytics πŸ”Ž Fighter Comparison 🌍 International Fighter Research βš–οΈ Weight Class Analysis πŸ“Š MMA Data Mining πŸ€– AI Training Datasets πŸ“‹ Sports Dataset Building πŸ’° Betting Research πŸ“ˆ Performance Benchmarking βš™οΈ Automation Workflows *** ## πŸš€ Key Features ⚑ UFC StatLeaders Scraping πŸ₯Š Fighter Statistics βš”οΈ Fight Statistics πŸ”₯ Combined Fight Statistics πŸ”„ Round Statistics πŸ”₯ Combined Round Statistics 🎟️ Event Statistics πŸ† Fighter Rankings βš–οΈ Weight Class Filtering 🌍 Country Filtering πŸ“Š Statistical Metadata πŸ”‘ Stat IDs πŸ‘€ Fighter Profiles πŸ–ΌοΈ Fighter Headshots πŸ₯Š Opponent Information 🎟️ Event Information πŸ“… Event Dates πŸ”— Source URLs ⏱️ Scraping Timestamps 🌐 Residential Proxy Support πŸ“Š Structured Output πŸ’Ύ Export-Ready Datasets βš™οΈ Scalable Apify Actor *** ## πŸ“€ Export Formats The extracted UFC statistics can be exported through Apify in multiple formats: βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML βœ” RSS *** ## πŸ“¦ Example Output ``` { "section": "career", "sectionLabel": "Career", "weightClass": "Lightweight", "weightClassCode": "LIGHTWEIGHT", "country": "USA", "countryCode": "USA", "statGroup": "Striking", "statId": "SL-001", "statName": "Total Strikes Landed", "statNote": "Career total", "rank": "1", "fighterName": "Example Fighter", "fighterUrl": "https://example.com/fighter/example", "fighterHeadshotUrl": "https://example.com/images/fighter.jpg", "opponentName": "", "opponentUrl": "", "opponentHeadshotUrl": "", "round": "", "value": "1250", "eventName": "", "eventDate": "", "eventFightsCount": "", "sourceUrl": "https://statleaders.ufc.com/", "scrapedAt": "2026-08-25T10:00:00Z" } ``` *** ## πŸ”₯ Why Use This UFC StatLeaders Scraper? βœ” UFC Career Statistics βœ” Fight Statistics βœ” Combined Fight Statistics βœ” Round Statistics βœ” Combined Round Statistics βœ” UFC Event Statistics βœ” Fighter Rankings βœ” Fighter Profiles βœ” Fighter Headshots βœ” Opponent Information βœ” Event Information βœ” Weight Class Filters βœ” Country Filters βœ” Multiple Sections βœ” Bulk Statistical Extraction βœ” Structured Data βœ” Residential Proxy Support βœ” Scalable Apify Infrastructure βœ” No Coding Required *** ## πŸ’Έ Pricing This scraper runs on a **pay-per-result** pricing model. You only pay for successfully extracted UFC statistical records. **πŸ’³ Price: $3.98 / 1,000 records** *** ## ❓ FAQ #### Can I scrape multiple UFC StatLeaders sections? Yes. You can select multiple sections in the same run, including **Career, Fight, Fight (Comb.), Round, Round (Comb.), and Event**. *** #### Can I scrape specific UFC weight classes? Yes. The Actor supports multiple weight class filters, including **Heavyweight, Light Heavyweight, Middleweight, Welterweight, Lightweight, Featherweight, Bantamweight, Flyweight, and women's divisions**. *** #### Can I filter fighters by country? Yes. You can select one or multiple supported countries. *** #### Can I scrape all weight classes? Yes. Select: ``` ALL ``` to scrape all available weight classes. *** #### Can I scrape all countries? Yes. Select: ``` ALL ``` to include all available countries. *** #### Can I select multiple filters? Yes. You can combine multiple sections, weight classes, and countries in the same run. *** #### Does the Event section use weight class and country filters? No. The Event section does not use the weight class or country filters. *** #### What does maxItemsPerSearch control? `maxItemsPerSearch` defines the maximum number of statistical rows collected for each **section, weight class, and country combination**. *** #### Does it extract fighter profile URLs? Yes. When available, the Actor extracts the fighter profile URL. *** #### Does it extract fighter photos? Yes. When available, fighter headshot URLs are included in the output. *** #### Does it extract opponent information? Yes. For statistics where opponent information is available, the Actor can extract the opponent name, profile URL, and headshot URL. *** #### Does it extract UFC event information? Yes. When available, the scraper extracts the event name, event date, and number of fights on the card. *** #### Does it extract statistical rankings? Yes. The `rank` field contains the statistical ranking provided by UFC StatLeaders. *** #### Does it extract statistical values? Yes. The `value` field contains the corresponding statistical value. *** #### Are proxies supported? Yes. The Actor supports Apify Proxy configuration, including **residential proxies**. *** #### Is coding required? No. Everything runs directly through Apify. Simply select your sections and configure the desired filters. *** #### Can I export the data? Yes. Apify supports JSON, CSV, Excel, XML, HTML and RSS exports. *** ## ⚠️ Disclaimer This tool is an independent data extraction solution and is **not affiliated with or endorsed by UFC**. Users are responsible for complying with the applicable Terms of Service, intellectual property requirements, and all applicable laws and regulations when collecting and using publicly available data. *** ## πŸ”— Related Actors We are building the complete **PrimeScrape Sports Intelligence Suite**. More premium sports, athlete, statistics, rankings, events, and sports intelligence scrapers are coming soon. πŸš€ Stay tuned. *** ## 🌍 PrimeScrape Ecosystem Built for large-scale data extraction, automation, AI datasets, and business intelligence. πŸ₯Š Sports Intelligence πŸ“Š Sports Analytics πŸ† Athlete Rankings βš”οΈ Fight Statistics 🎟️ Event Intelligence πŸ“ˆ Performance Analytics πŸ”Ž Competitor Research πŸ€– AI Training Datasets βš™οΈ Automation Pipelines 🌐 Public Data Extraction *** ## πŸ“¬ Support ⭐⭐⭐⭐⭐ If this scraper saves you time, please leave a review. For enterprise scraping solutions, custom Apify Actors, or large-scale sports data projects, feel free to contact **PrimeScrape**. # Actor input Schema ## `sections` (type: `array`): Which StatLeaders tabs to scrape. Bulk-select as many as you need. ## `weightClasses` (type: `array`): Weight class filter(s) from the site's dropdown. Ignored for the Event section, which has no filters. Select multiple to bulk-scrape several weight classes at once. ## `countries` (type: `array`): Country filter(s) from the site's dropdown. Ignored for the Event section, which has no filters. Select multiple to bulk-scrape several countries at once. ## `maxItemsPerSearch` (type: `integer`): Maximum number of stat rows to collect for each (section, weight class, country) URL. ## `proxy` (type: `object`): Proxy used to fetch statleaders.ufc.com. RESIDENTIAL proxies are recommended. ## Actor input object example ```json { "sections": [ "career", "fight", "fight-comb", "round", "round-comb", "event" ], "weightClasses": [ "ALL" ], "countries": [ "ALL" ], "maxItemsPerSearch": 200, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `overview` (type: `string`): No description ## `detailed` (type: `string`): No description ## `by_section` (type: `string`): No description # 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 = { "sections": [ "career", "fight", "fight-comb", "round", "round-comb", "event" ], "weightClasses": [ "ALL" ], "countries": [ "ALL" ], "maxItemsPerSearch": 200, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/ufc-statleaders-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "sections": [ "career", "fight", "fight-comb", "round", "round-comb", "event", ], "weightClasses": ["ALL"], "countries": ["ALL"], "maxItemsPerSearch": 200, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/ufc-statleaders-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ 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) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sections": [ "career", "fight", "fight-comb", "round", "round-comb", "event" ], "weightClasses": [ "ALL" ], "countries": [ "ALL" ], "maxItemsPerSearch": 200, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call delectable_incubator/ufc-statleaders-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/ufc-statleaders-scraper-low-cost" } } } ``` 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/xZZgg2IzMPawr0e4Q/builds/sJXo8c1xsQxigSM1h/openapi.json