⛳ LIV Golf Player Stats Scraper

🚀 Pull liv golf player stats records in seconds. Structured data from LIV Golf with clean fields ready for analysis.

🕒 Last updated 2026-05-27 · 📊 5 fields per record · Production-grade · Public data only

LIV Golf player statistics including standings, scoring averages and tournament results. Built for analysts, researchers and product teams who need clean, structured records without writing custom scrapers.

This actor walks the public surface of LIV Golf, follows pagination, and pushes one record per item to the Apify dataset. Records ship with stable field names, ISO timestamps, and predictable shapes for downstream analytics.

🎯 Target Audience	💡 Primary Use Cases
Analysts and researchers	Building reference datasets
Product teams	Competitive intelligence
Data engineers	Pipeline ingestion
Operations teams	Market and inventory tracking

📋 What the LIV Golf Player Stats Scraper does

• Walks public LIV Golf surfaces and follows pagination
• Pushes one clean record per item with stable field names
• Adds an ISO timestamp on every record
• Surfaces errors as records rather than failing the whole run
• Auto-limits free runs to 10 records (preview), paid runs up to 1,000,000

💡 Why it matters Structured records are easier to wire into dashboards, warehouses and notebooks than raw scraped pages.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

The actor accepts a small input object. Set maxItems to control run scale; provide source-specific filters where supported.

{
  "maxItems": 10
}

{
  "maxItems": 100
}

⚠️ Good to Know Only publicly accessible records are collected. Free users are limited to 10 records per run; upgrade to paid for up to 1,000,000.

📊 Output

Each record contains the following fields.

Field	Description
📌 Title title	Per-record field
🆔 ID id	Per-record field
🔗 Source sourceUrl	Per-record field
🕒 scrapedAt	ISO 8601 collection timestamp
❌ error	Error message if the record failed

Sample record

{
  "title": "sample",
  "id": "sample",
  "sourceUrl": "https://...",
  "scrapedAt": "2026-05-27T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

✅ Feature	Why it matters
🧱 Stable shapes	Predictable fields across runs
🕒 ISO timestamps	Trivial to bucket by day or hour
🛡️ Error-as-record	One bad row does not kill the run
⚙️ Apify-native	Works with the full Apify integration stack
🔓 Public data only	No accounts or logins required

📈 How it compares to alternatives

Approach	Setup time	Maintenance	Reliability
Hand-rolled scraper	Days	High	Variable
Generic web tool	Hours	Medium	Medium
This actor	Minutes	Low	High

🚀 How to use

1. Create a free Apify account with $5 credit
2. Open the actor page
3. Set maxItems and any supported filters
4. Click Start
5. Open the dataset tab to view records

💼 Business use cases

Market intelligence

Track changes in the LIV Golf surface over time to spot trends and opportunities.

Lead and partner discovery

Build a reference set of entities, vendors or contributors for outreach.

Competitive analysis

Compare offerings, tags and metadata across the catalog.

Pipeline ingestion

Feed clean records into BigQuery, Snowflake, Postgres or any warehouse via Apify integrations.

🔌 Automating LIV Golf Player Stats Scraper

• Make trigger runs on a schedule and route records to Sheets, Airtable, Notion
• Zapier chain runs with CRMs and messaging tools
• Slack post run summaries to channels
• Airbyte pipe records into your warehouse
• GitHub Actions schedule runs from your repo
• Google Drive archive records to Sheets or Drive folders

🌟 Beyond business use cases

Research

Track public-data catalogs for academic projects and reproducible studies.

Personal projects

Build personal dashboards over your favorite data sources.

Non-profit

Help mission-driven teams keep up with sector data without engineering overhead.

Experimentation

Prototype ML features and embeddings over a clean, structured corpus.

🤖 Ask an AI assistant about this scraper

• ChatGPT "How should I structure a weekly run of the LIV Golf Player Stats actor and ingest the results into BigQuery?"
• Claude "Draft a Make scenario that runs the LIV Golf Player Stats actor and posts new records to Slack."
• Perplexity "Compare the LIV Golf Player Stats actor with manual scraping approaches."
• Copilot "Show me Python code that reads the latest Apify dataset for this actor."

❓ Frequently Asked Questions

🛡️ Is this scraper legal to use?

It collects only publicly available data and respects the source's public surface.

💸 Is there a free tier?

Yes. Free runs are limited to 10 records as a preview. Paid plans unlock up to 1,000,000.

⏱️ How long does a run take?

Most runs finish in minutes. Large jobs scale with maxItems.

🧹 Does the actor deduplicate?

The actor emits one record per item from the source. Apify dataset views can be used to deduplicate downstream.

🌍 Does it support regional records?

Where the source exposes regional surfaces, the input schema includes filters for them.

🧠 Can I run this from my own code?

Yes. Trigger runs over the Apify API and read the dataset programmatically.

🔁 Can I schedule it?

Yes. Use Apify schedules or any integration tool listed above.

🧾 What about rate limits?

The actor uses Apify proxies and built-in retry logic to stay within polite limits.

🛠️ Can I customize fields?

Use Apify dataset views and transformations to project the columns you need.

🆘 Where do I get help?

Open the contact form at the bottom of this page.

🔌 Integrate with any app

Connect via Apify's native integrations with Make, Zapier, Slack, Airbyte, Google Drive, Google Sheets, GitHub, Webhooks and the Apify API.

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🆘 Need Help? Open our contact form

⚠️ Disclaimer independent tool, not affiliated with LIV Golf. Only publicly available data collected.