🏎️ Jolpica F1 Public API Scraper

🚀 Export Formula 1 seasons, drivers, races, results, and standings in seconds, straight from the public Jolpica Ergast-compatible API.

🕒 Last updated: 2026-06-05 · 📊 15 fields per record · Seasons since 1950 · Drivers, constructors, circuits, results · Race, qualifying, sprint, standings

The Jolpica F1 Public API Scraper turns the api.jolpi.ca public endpoint into a clean dataset. It calls the public API with whichever filters you supply, then flattens each record into one row.

Coverage spans seasons since 1950 · drivers, constructors, circuits, results · race, qualifying, sprint, standings. Each row carries the most useful identifiers, names, scores, and timestamps the upstream feed exposes.

🎯 Target Audience	💡 Primary Use Cases
🏁 Motorsport analysts	Pull every F1 result for backtesting
📊 Data journalists	Build season tables and head-to-head charts
🎮 Fantasy F1 builders	Power driver and constructor leagues
🧑‍🎓 Sports historians	Mine 75 years of F1 history
🤖 ML engineers	Train race-outcome models
👩‍💻 Developers	Mirror the Ergast schema without writing client code

📋 What the Jolpica F1 Public API Scraper does

• Calls Jolpica F1 endpoints for seasons, drivers, constructors, circuits, races, results, qualifying, sprint, and standings.
• Flattens the Ergast-compatible MRData envelope into one row per record.
• Handles pagination via limit and offset for full season pulls.
• Casts numeric strings to real numbers for clean downstream import.
• Surfaces upstream errors as a clean error record.

💡 Why it matters. Jolpica is the live successor to the Ergast F1 API, the most widely cited public dataset in motorsport analytics. This actor turns it into a flat, queryable dataset.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
season	string	No	See examples below.
maxItems	integer	No	Free users 10, paid up to 1,000,000. Prefill is 10.

Example 1, 2024 drivers.

{ "season": "2024", "resource": "drivers", "maxItems": 30 }

Example 2, Latest season results.

{ "season": "current", "resource": "results", "maxItems": 50 }

⚠️ Good to Know. The Jolpica API is rate-limited but public. No key required.

📊 Output

Field	Type	Description
🏆 season	string	Season year.
🎯 round	string	Round number when applicable.
🏁 raceName	string	Race name.
🗓️ date	string	Race date.
📍 circuit	string	Circuit name.
👤 driverId	string	Driver id slug.
🏎️ constructorId	string	Constructor id slug.
📊 position	number	Finishing or grid position when applicable.
⏱️ time	string	Time string when applicable.
💯 points	number	Points scored when applicable.
🔄 laps	number	Laps completed when applicable.
🆔 recordType	string	driver, constructor, circuit, race, result, qualifying, sprint, or standing.
📦 raw	object	Full upstream record.
🕒 scrapedAt	string	When fetched.
❌ error	string	Set when upstream returned an error.

Sample record.

{
  "season": "",
  "round": "",
  "raceName": "",
  "date": "",
  "circuit": "",
  "driverId": "",
  "constructorId": "",
  "position": 0,
  "time": "",
  "points": 0,
  "laps": 0,
  "recordType": "",
  "raw": {},
  "scrapedAt": "2026-06-05T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Public Jolpica F1 endpoint, no scraping tricks needed. | | 🧹 | Flattens nested upstream payloads into one row per record. | | 🔢 | Casts numeric fields cleanly for spreadsheet imports. | | 🛟 | Surfaces upstream errors as clean rows. | | 🔌 | Filters exposed for the most common slicing needs. | | 💾 | Push to dataset for spreadsheet, warehouse, or webhook export. |

📈 How it compares to alternatives

Approach	Setup	Pagination	Flattening	Export formats
Raw curl	5 min	manual	none	manual
DIY Python script	30 min	yes	partial	code
This Actor	5 seconds	yes	yes	7 formats

🚀 How to use

1. Click Try for free.
2. Pick your filters from the schema above.
3. Click Start. Your dataset is ready in seconds.

💼 Business use cases

📊 Analytics. Mirror Jolpica F1 into a warehouse for dashboards.

🏢 Internal tooling. Mirror the data into private apps without writing client code.

📰 Journalism. Verify and bulk-fetch records for stories.

🤖 Machine learning. Build training sets from a known canonical source.

🔌 Automating Jolpica F1 Public API Scraper

• Make / Zapier: schedule a daily run.
• Cron schedule: native Apify scheduler.
• Webhooks: POST on completion.
• Warehouse pipe: native integrations move datasets straight into BigQuery, Snowflake, or Postgres.

🌟 Beyond business use cases

🎓 Education. Teach API integration with a clean dataset.

🧪 Personal research. Track the data you care about.

🤝 Non-profit and open data. Power public dashboards.

🧰 Tinkering and prototyping. Spin up a feed for side projects in seconds.

🤖 Ask an AI assistant about this scraper

Drop this README into ChatGPT, Claude, or any AI assistant and ask it to design a pipeline. The input fields, schema, and examples above contain everything an LLM needs.

❓ Frequently Asked Questions

❓ Do I need an API key? No. The endpoint is public.

❓ Pagination? Yes, handled automatically where the upstream supports it.

❓ Rate limits? The upstream sets the rate limit. The actor surfaces upstream errors cleanly.

❓ Schema stability? Core fields are stable. Optional fields are passed through when present.

❓ Real-time? Yes, every run hits the live endpoint.

❓ Spreadsheet export? Yes, via the Apify dataset UI.

❓ Scheduling? Yes, via the Apify scheduler.

❓ Public data only? Yes.

❓ Free trial? Yes, $5 free credit on signup covers many runs.

❓ Webhook integration? Yes, native Apify webhooks fire on run completion.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.

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