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🏀 WNBA Stats Scraper

🚀 Export export wnba player and team statistics from the official stats api in seconds. Export WNBA.com player and team season statistics: player ID, name, team, games played, minutes, points, rebounds, assists, shooting percentages and rankings. Filter by season and stat category (PTS, REB, AST, BLK, STL, FG_PCT). CSV, Excel, JSON, XML output. No account required for the source.

🕒 Last updated: 2026-05-26 · 📊 21 fields per record · 20+ years of player season statistics · WNBA (all seasons since 1997)

The WNBA Stats Scraper extracts structured records from WNBA.com. Every record captures the canonical fields you would expect from the upstream source - ready for analytics, dashboards, BI tooling, or further enrichment.

The dataset spans wnba (all seasons since 1997) and exposes the same data the official source publishes - normalised, paginated, and exportable.

Who uses this data?

📋 What the WNBA Stats Scraper does

• Queries WNBA.com for the latest records
• Supports targeted filtering via the input parameters (see below)
• Returns structured records with 21 fields, no scraping artifacts
• Handles pagination automatically up to your maxItems limit
• Cleans HTML entities and normalises dates and identifiers
• Delivers results as CSV, Excel, JSON, or XML via Apify dataset export

💡 Why it matters: Public-data sources rarely offer bulk export. This Actor turns the live source into a queryable dataset - useful for any team that needs wnba stats data at scale.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Example 1: Default run (preview)

{
"maxItems":10
}

Example 2: Targeted query

{
"maxItems":5,
"season":"2024",
"statCategory":"PTS"
}

⚠️ Good to Know: Free users are limited to 10 items per run. Upgrade to a paid plan to unlock up to 1,000,000 items.

📊 Output

✨ Why choose this Actor

📈 How it compares to alternatives

🚀 How to use

1. Create a free Apify account - includes $5 free credit
2. Open the WNBA Stats Scraper actor page
3. Configure your input - set filters or leave defaults
4. Set maxItems (10 for a quick preview, higher for bulk extraction)
5. Click Run and wait for the dataset to populate
6. Download your results as CSV, Excel, JSON, or XML

💼 Business use cases

Compliance and Due Diligence

Teams use wnba stats data to verify entities, monitor regulatory status, and feed downstream pipelines.

Market Research

Analysts map wnba (all seasons since 1997) to understand market structure, competitive activity, or regulatory trends.

Lead Generation

Sales teams enrich CRM records with wnba stats data to identify prospects and qualify leads.

Investigative Journalism

Reporters use bulk extracts to find patterns, anomalies, and stories hidden in public records.

🔌 Automating WNBA Stats Scraper

Connect this Actor to your existing workflows using Apify integrations:

• Make (Integromat) - trigger a run on a schedule and push results to Google Sheets or a database
• Zapier - automatically export new records to Airtable, Notion, or your CRM
• Slack - get notified when a monitored entity has new activity
• Webhooks - receive real-time notifications when a run completes

🌟 Beyond business use cases

Academic Research

Study trends, behaviours, and patterns in wnba (all seasons since 1997) records across time.

Civic Tech and Transparency

Civic-tech projects build dashboards on top of bulk extracts to surface public-interest insights.

Education

Educators use real wnba stats data to teach data analysis and domain knowledge.

Personal Research

Individuals - researchers, hobbyists, family historians - use bulk export to answer questions that no single web search can.

🤖 Ask an AI assistant about this scraper

Have questions about how to use this Actor or interpret the data? Paste a few sample records into ChatGPT, Claude, or another AI assistant and ask it to summarise the dataset, explain fields, identify patterns, or suggest filter combinations.

❓ Frequently Asked Questions

🔍 What does this Actor do? It extracts wnba stats records from WNBA.com into a clean, queryable dataset.

📊 How many records are available? 20+ years of player season statistics.

🔑 Do I need an account or API key? No. This Actor uses public sources that require no authentication.

📅 How up-to-date is the data? The Actor queries the source live on every run.

🔍 Can I filter by specific fields? Yes - see the Input section above for all supported filters.

⚡ How fast is the scraper? A typical 10-item preview completes in under 30 seconds.

📄 What format is the output? Records are stored in Apify's dataset storage and can be exported as CSV, Excel, JSON, or XML.

🏆 Why are some fields null for certain records? Some fields are optional at the source. The Actor returns null rather than fabricating values.

📋 Can I run this on a schedule? Yes - use Apify's built-in scheduler or trigger via Make / Zapier / Webhooks.

💰 Is there a cost to use this Actor? Free users receive 10 records per run. Create a paid account to unlock up to 1,000,000 records per run.

🌍 Does it cover wnba (all seasons since 1997)? Yes - see the coverage line above.

🛡️ Is this Actor compliant? The Actor accesses only publicly available data, in line with the source's published terms of service.

🔌 Integrate with any app

Export data directly from the Apify platform to:

Spreadsheets & Databases Google Sheets - Microsoft Excel - Airtable - Notion - PostgreSQL - MySQL - MongoDB

Automation & Workflows Make (Integromat) - Zapier - n8n - Pipedream - Activepieces

Cloud Storage AWS S3 - Google Cloud Storage - Azure Blob Storage - Dropbox

APIs & Webhooks REST API - Webhooks - Apify API

🔗 Recommended Actors

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

Need help? Visit the Apify Discord community or open a support ticket.

Disclaimer: This Actor accesses publicly available data from WNBA.com in compliance with the source's terms of service. Data is provided as-is for informational purposes. Verify all records against the official source before relying on them for legal or business decisions.