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🎮 Liquipedia Esports Wiki Scraper

🚀 Export the Liquipedia esports wiki in seconds. Tournaments, teams, players, prize pools, brackets, and metadata across 24 game wikis. No scraping pipeline, no captchas, no manual ETL.

🕒 Last updated: 2026-05-23 · 📊 14 fields per record · 🎮 24 game wikis · 🏆 Tournaments, teams, players, events · 🌍 Global esports coverage

The Liquipedia Esports Wiki Scraper taps the official Liquipedia MediaWiki API and returns clean, structured records for tournament pages, team rosters, player profiles, prize pool tables, event categories, and any wiki page across the Liquipedia ecosystem. The underlying wikis are community-maintained, refresh daily, and are widely cited as the source of record for competitive esports.

Coverage spans 24 game wikis including League of Legends, Counter-Strike, Dota 2, Valorant, StarCraft Brood War, StarCraft 2, Rocket League, Overwatch, Apex Legends, Fortnite, Rainbow Six, Smash, Warcraft, Call of Duty, Halo, Age of Empires, PUBG, Free Fire, Mobile Legends, Wild Rift, Hearthstone, Magic: The Gathering, EA Sports FC, and Rocket Arena. Each wiki carries thousands of tournament, team, and player pages, all queryable in one Actor.

📋 What the Liquipedia Scraper does

Two query modes in a single Actor:

• 📄 Single page mode. Pull any wiki page by title, get its parsed HTML, sections, links, categories, images, and a clean text summary.
• 🗂️ Category mode. List every page inside a wiki category, then enrich each with full page metadata. Categories like Category:Tournaments, Category:Teams, Category:Players enumerate the wiki end-to-end.

Each record returns the canonical page URL, page ID, sections outline, categories the page belongs to, outgoing links, external references, and embedded images. Toggle includeText off to keep records small for fast catalog runs.

💡 Why it matters: Liquipedia is the reference source for competitive esports, but parsing wiki templates and tournament brackets manually is painful. This Actor turns wiki pages into clean JSON your dashboard can ingest.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a tournament dataset.

⚙️ Input

Example: 10 Valorant tournament pages.

{
"maxItems":10,
"game":"valorant",
"categoryFilter":"Category:Tournaments",
"includeText":true
}

Example: single page on Counter-Strike Major Berlin 2023.

{
"maxItems":1,
"game":"counterstrike",
"pageName":"BLAST/Major/2023/Paris"
}

⚠️ Good to Know: Liquipedia asks API clients to keep request volume low. This Actor automatically rate-limits between page fetches (2.5s) to stay friendly with the wiki. For very large category dumps, prefer includeText: false to keep records compact.

📊 Output

Each record contains 14 fields. Download as CSV, Excel, JSON, or XML.

🧾 Schema

📦 Sample records

✨ Why choose this Actor

📊 Esports newsletters, fantasy platforms, and tournament organizers all run on Liquipedia metadata. This Actor turns that metadata into a flat, joinable dataset.

📈 How it compares to alternatives

Pick this Actor when you want broad esports coverage with category-level enumeration and zero auth overhead.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Liquipedia Esports Wiki Scraper page on the Apify Store.
3. 🎯 Set input. Pick a game, choose a category (or a specific page name), and set maxItems.
4. 🚀 Run it. Click Start and let the Actor enumerate the wiki for you.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

💼 Business use cases

🔌 Automating Liquipedia Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Refresh tournament catalogs every Monday or pull rosters monthly.

🌟 Beyond business use cases

Structured esports data feeds research, classrooms, fan creativity, and personal projects.

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

🧩 How does it work?

Pick a game wiki, then either point at a specific page or enumerate a category. The Actor returns one record per page with parsed metadata, sections, links, and optional HTML body.

🎮 Which games are covered?

24 game wikis: League of Legends, Counter-Strike, Dota 2, StarCraft (Brood War + 2), Valorant, Rocket League, Overwatch, Apex Legends, Fortnite, Rainbow Six, Smash, Warcraft, Call of Duty, Halo, Age of Empires, PUBG, Free Fire, Mobile Legends, Wild Rift, Hearthstone, Magic: The Gathering, EA Sports FC, Rocket Arena.

📏 How accurate is the data?

Liquipedia is community-edited and updated continuously. Tournament pages typically reflect the live state within hours.

🔁 How often is the dataset refreshed?

Every run pulls the latest data. For active tournaments, schedule daily refreshes.

⚙️ Why is it rate-limited?

Liquipedia asks scrapers to stay polite. The Actor automatically waits 2.5s between page fetches. This keeps the wiki community happy and avoids HTTP 429s.

⏰ Can I schedule regular runs?

Yes. Use Apify Schedules to trigger this Actor on any cron interval.

⚖️ Is this data legal to use?

Liquipedia content is licensed under CC-BY-SA 3.0. Review the license terms for your use case before redistributing.

💼 Can I use this data commercially?

Yes for attribution-compliant uses. Liquipedia's license requires credit and share-alike. Tournament logos and team branding belong to their respective owners.

💳 Do I need a paid Apify plan?

No. The free Apify plan handles small runs (10 pages). Paid plans lift the cap and unlock scheduling.

🔁 What happens if a run fails?

Apify retries transient errors automatically. Failed runs preserve partial datasets so no progress is lost.

🛬 What if I need bracket / match-level data?

The Actor returns page sections and HTML, which contain bracket markup. Parse the HTML for structured brackets or request a companion bracket scraper via the contact form below.

🆘 What if I need help?

Reach our support team through the Apify platform or the Tally form linked below.

🔌 Integrate with any app

Liquipedia Esports Wiki Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get tournament alerts in your channels
• Airbyte - Pipe wiki data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh tournament data into your product backend, or alert your Discord on a new event listing.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Liquipedia, Wikimedia, Riot Games, Valve, EA, Activision Blizzard, or any tournament organizer. All trademarks mentioned are the property of their respective owners. Liquipedia content is licensed under CC-BY-SA 3.0. Only publicly available wiki data is collected.