🏎️ F1 Race Results and Standings Scraper

🚀 Pull Formula 1 race results, qualifying, drivers, constructors, and championship standings from 1950 to present.

🕒 Last updated: 2026-05-06 · 📊 34 fields per record · 1950 to present · races, qualifying, sprint, drivers, constructors, circuits, standings · 76+ years of F1 history

The F1 Race Results and Standings Scraper pulls Formula 1 data from 1950 to present. Output includes per-race results with positions, points, lap times, fastest laps, grid positions, status, plus full driver/team metadata; qualifying and sprint results; driver and constructor profiles; circuit data; and per-season championship standings.

The scraper covers 76+ years of F1 history with structured records across 9 endpoints. Filters run server-side, so a single run can isolate every Verstappen win, every Ferrari race in 2024, or the complete 1976 championship standings.

🎯 Target Audience	💡 Primary Use Cases
F1 journalists, sports-analytics teams, fantasy F1 platforms, ML pipelines, broadcast researchers, fan communities	Sports analytics, F1 fantasy app data, broadcast production research, betting and odds platforms, content marketing on F1

---

📋 What the F1 Race Results and Standings Scraper does

Five filtering workflows in a single run:

• 🏁 Race results. Positions, points, lap times, status per race.
• ⏱️ Qualifying results. Q1/Q2/Q3 times per driver per session.
• 🏆 Championship standings. Driver and constructor standings per round, per season.
• 👤 Driver/constructor profiles. One row per driver or team across all years.
• 🏟️ Circuits + schedule. All circuits with geo coordinates; per-season race schedule.

💡 Why it matters: clean, server-side filtering removes the parser-and-pagination work from your team and keeps your dataset fresh on every run.

---

🎬 Full Demo

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

---

⚙️ Input

Input	Type	Default	Behavior
maxItems	integer	10	Records to return. Free plan caps at 10, paid plan up to 1,000,000.
endpoint	string	"results"	`results`, `qualifying`, `sprint`, `drivers`, `constructors`, `circuits`, `driverStandings`, `constructorStandings`, `races`.
season	string	"2024"	Year, `current`, or empty for all.
round	string	""	Specific round number.
driverId	string	""	Driver filter (`max_verstappen`, `hamilton`).
constructorId	string	""	Constructor filter (`ferrari`, `mercedes`).
circuitId	string	""	Circuit filter (`monaco`, `silverstone`).

Example: every 2024 race result.

{
    "maxItems": 500,
    "endpoint": "results",
    "season": "2024"
}

Example: Verstappen all-time wins.

{
    "maxItems": 100,
    "endpoint": "results",
    "driverId": "max_verstappen"
}

---

📊 Output

Each record contains 34 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
📅 season	string	"2024"
🔢 round	string	"1"
🏁 raceName	string	"Bahrain Grand Prix"
📅 date	string	"2024-03-02"
🏟️ circuitName	string	"Bahrain International Circuit"
🌍 country	string	"Bahrain"
🏆 position	string	"1"
⭐ points	string	"26"
🏃 grid	string	"1"
👤 driverName	string	"Max Verstappen"
🏷️ driverNationality	string	"Dutch"
🏎️ constructorName	string	"Red Bull"
⏱️ timeOrStatus	string	"1:31:44.742"
⚡ fastestLap	string	null
🔗 wikipediaUrl	string	"https://en.wikipedia.org/wiki/2024_Bahrain_Grand_Prix"

📦 Sample records

---

✨ Why choose this Actor

	Capability
📚	76+ years of F1. 1950 to present, every race result and championship standing.
🔄	9 endpoints. Results, qualifying, sprint, drivers, constructors, circuits, standings, schedule.
🌐	Geo-tagged. Circuit lat/lng for map overlays.
⚡	Fast. 100 records in under 20 seconds.
🆓	No quota. Public open-data backend, no key required.

---

📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ This Actor	$5 free credit	1950 to present	Live per run	9 endpoints, 6 filters	⚡ 2 min
Manual Wikipedia scraping	Free	All	Variable	DIY	🐢 Days
Sports-data APIs	$200+/month	Live	Live	Many	🐢 Account
CSV dump downloads	Free	Variable	Stale	None	🐢 ETL

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

---

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the F1 Race Results and Standings Scraper page on the Apify Store.
3. 🎯 Set input. Pick your filters and maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
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

📊 Sports Analytics Driver-vs-driver historical comparisons Team performance over decades Circuit-specific win patterns Track-record analysis	🎮 Fantasy F1 / Betting Train ML models on historical data Build odds and prediction features Power fantasy F1 leaderboards Run season-simulation engines
📰 Sports Journalism Race-week stat packages Driver retirement features Constructor history articles Championship-decided pieces	🏎️ Broadcast & Fan Apps Live commentary stat overlays Build fan-engagement dashboards Build retro F1 viewing apps Power F1 history podcasts

---

🔌 Automating F1 Race Results and Standings 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. Hourly, daily, or weekly refreshes keep downstream databases in sync automatically.

---

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Sports-economics research Performance analysis studies Reproducible F1 data snapshots Coursework on time-series analysis	🎨 Personal and creative Personal F1 dashboards Side projects on race data Fan blogs and newsletters Hobbyist visualizations
🤝 Non-profit and civic Sports inclusion research Driver diversity studies Open sports-data contributions Educational stats projects	🧪 Experimentation Train race-prediction models Prototype F1-aware agents Build position-change visualizations Test sports analytics libraries

---

🤖 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 an endpoint and optional filters (season, round, driver, constructor, circuit). The Actor queries the public Ergast/Jolpica F1 backend and emits structured records.

📅 How far back does data go?

1950, the first F1 season. Every race, qualifying session, and championship is included.

🏁 What's the difference between endpoints?

Each endpoint returns a different table: results (per-race), qualifying (Q1-Q3 times), sprint, drivers (per driver), constructors (per team), circuits, standings (driver/constructor), races (schedule).

📊 How many fields per record?

Up to 34 fields per race-result row. Other endpoints return correspondingly different schemas.

🔁 Can I schedule runs?

Yes. Use Apify Schedules to refresh standings after each Grand Prix or build a season-tracker.

⚖️ Is this data public?

Yes. The Ergast Developer API and its Jolpica-hosted mirror publish F1 data under an open license.

⏱️ Are lap times included?

Yes for race results (timeOrStatus, fastestLap). Per-lap data is available on a separate endpoint via the laps query.

💳 Do I need a paid Apify plan?

No. The free plan covers preview runs. A paid plan unlocks higher item counts and scheduling.

🆘 What if a run fails?

Apify retries transient errors. Partial datasets are preserved.

🌐 Does it cover sprint races?

Yes. Set endpoint to sprint for sprint results.

---

🔌 Integrate with any app

F1 Race Results and Standings Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe 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.

---

🔗 Recommended Actors

• 🌏 World Bank Indicators - Country economic indicators across 60+ years
• 🌐 Wikidata Entity Search - 100M+ open knowledge-graph entities
• 📰 Hacker News Search - Every HN story since 2007
• 🎬 TVMaze TV Shows - TV show metadata and episodes
• 📊 Stack Exchange Questions - Search 170+ Stack Exchange sites

💡 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 Formula One Group, the FIA, the Ergast project, the Jolpica project, or any F1 team or driver. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected.