🏎️ NASCAR Racing Reference Scraper

🚀 Pull nascar racing reference data in seconds. Pull NASCAR Racing Reference season stats: driver name, rank, starts, wins, top 5, top 10, poles, points and earnings by season and series. structured records for motorsport analytics and journalism.

🕒 Last updated: 2026-05-27 · 📊 18 fields per record · 75+ years of season-by-season stats · NASCAR (Cup, Xfinity, Truck, ARCA)

The NASCAR Racing Reference Scraper extracts structured records from Racing-Reference.info. 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 nascar (cup, xfinity, truck, arca) and exposes the same data the official source publishes - normalised, paginated, and queryable.

Who uses this data?

Audience	Use Case
Researchers	Build longitudinal datasets for analysis
Compliance teams	Monitor regulated entities and filings
Journalists	Investigate public records at scale
Data analysts	Power BI dashboards and reports
Academic researchers	Run quantitative studies on public data
Product teams	Embed live nascar racing reference records into apps

📋 What the NASCAR Racing Reference Scraper does

• Queries Racing-Reference.info for the latest records
• Supports targeted filtering via the input parameters (see below)
• Returns structured records with 18 fields, no scraping artifacts
• Handles pagination automatically up to your maxItems limit
• Cleans HTML entities and normalises dates and identifiers
• Delivers results as tabular, spreadsheet, structured, or structured via Apify dataset pull

💡 Why it matters: Public-data sources rarely offer bulk pull. This Actor turns the live source into a queryable dataset.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Free users: 10. Paid users: optional, max 1,000,000.
year	string	No	Four-digit year (e.g. 2024).
series	string	No	Series

Example 1: Default run (preview)

{
  "maxItems": 10
}

Example 2: Targeted query

{
  "maxItems": 5,
  "year": "2024",
  "series": "W"
}

⚠️ 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

Field	Type	Description
🖼 Image imageUrl	string	-
🏁 Race title	string	-
🔗 URL url	string	-
🔑 ID id	string	-
📅 Year year	string	-
🏆 Series series	string	-
#️⃣ Round raceNumber	string	-
📅 Date raceDate	string	-
🏟️ Track trackName	string	-
🔗 Track URL trackUrl	string	-
🚗 Cars carsEntered	string	-
🏆 Winner winnerName	string	-
🔑 Driver ID winnerId	string	-
🔗 Driver URL winnerUrl	string	-
🚩 Start Pos startingPosition	string	-
🏎️ Manufacturer manufacturer	string	-
🕒 Collected scrapedAt	string	-
❌ Error error	string	Error message if record could not be retrieved

✨ Why choose this Actor

Feature	Detail
🌐 No login required	Public data only - no credentials needed
🔍 Targeted filtering	Search and filter via input parameters
📊 75+ years of season-by-season stats	Comprehensive coverage of nascar (cup, xfinity, truck, arca)
🧹 Clean output	Dates normalised, HTML stripped, arrays flattened
⚡ Fast	Direct source access without browser overhead
🔄 Auto-pagination	Retrieves results up to your maxItems
💾 4 pull records	structured records all available
🛡️ Retry logic	Multi-attempt retry with backoff for reliability

📈 How it compares to alternatives

Method	Speed	Scale	Structured Output	Free
This Actor	Fast	1,000,000 records	Yes (18 fields)	10 free / unlimited paid
Manual site search	Slow	Limited per session	No	Yes
Bulk data retrieves	Slow setup	Variable	Partial	Variable
Custom API script	Variable	Unlimited	Requires dev work	Dev cost

🚀 How to use

1. Create a free Apify account - includes $5 free credit
2. Open the NASCAR Racing Reference 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. Retrieves your results as tabular, spreadsheet, structured, or structured

💼 Business use cases

Compliance and Due Diligence

Teams use nascar racing reference data to verify entities, monitor regulatory status, and feed downstream pipelines.

Market Research

Analysts map nascar (cup, xfinity, truck, arca) to understand market structure, competitive activity, or regulatory trends.

Lead Generation

Sales teams enrich CRM records with nascar racing reference data to identify prospects and qualify leads.

Investigative Journalism

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

🔌 Automating NASCAR Racing Reference 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 pull 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 nascar (cup, xfinity, truck, arca) 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 nascar racing reference data to teach data analysis and domain knowledge.

Personal Research

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

🤖 Ask an AI assistant about this scraper

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 nascar racing reference records from Racing-Reference.info into a clean, queryable dataset.

📊 How many records are available? 75+ years of season-by-season stats.

🔑 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 records is the output? Records are stored in Apify's dataset storage and can be pulled as tabular, spreadsheet, structured, or structured.

🏆 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 nascar (cup, xfinity, truck, arca)? 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

Pull data directly from the Apify platform to:

Spreadsheets & Databases Google Sheets - Microsoft spreadsheet - 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

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

Disclaimer: This Actor accesses publicly available data from Racing-Reference.info 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.