Formula 1 Live Timing & Telemetry Scraper (OpenF1, No API Key)

Scrape session-level Formula 1 data — lap times, sector splits, pit stops, speed traps and track weather — straight from the free OpenF1 API. No API key, no login, no proxy, no browser. Every row comes out flat and analysis-ready, with driver names and team names already joined in.

If you have ever tried to build an F1 dashboard, a fantasy-league tool or a race-strategy model, you know the pain: the official data is locked behind broadcast feeds, and most public sources only give you the final classification. This actor gives you what actually happened during the session — every lap by every driver, every pit stop with its stationary time, and the track temperature that explains why the tyres fell apart on lap 34.

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How is this different from f1-scraper?

We publish two Formula 1 actors. They do not overlap:

	f1-scraper	f1-openf1-scraper (this one)
Data source	Ergast / jolpica F1 API	OpenF1 API
Granularity	Season & race level — historical results	Session level — what happened lap by lap
Typical rows	Race winners, championship standings, constructor points, driver careers	Individual laps, sector times, pit stops, weather readings
Time range	1950 → today (full F1 history)	2023 → today
Answers	"Who won the 1988 Monaco GP?" "How many points did Ferrari score in 2010?"	"What was Norris's sector 2 on lap 41?" "How long was Bottas stationary in the pits?"
Best for	History, records, career stats, all-time comparisons	Timing analysis, strategy modelling, live-ish dashboards, telemetry

Rule of thumb: want results and history → use f1-scraper. Want what happened inside a session → use this one. Many users run both and join them on race name / year.

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What you get

Four modes, one actor:

sessions — every session of a season

Lists all practice, qualifying, sprint and race sessions of a year, each with its session_key. Run this first to find the session you want to dig into.

laps — lap & sector times per driver

Every lap of a session for all 20 drivers: lap time, the three sector durations, speed-trap and intermediate speeds, and a pit-out-lap flag so you can filter out in/out laps before computing race pace.

pit — pit stops

Every stop with the full pit-lane duration and the stationary time — the two numbers strategists actually care about.

weather — track conditions

A time series of air temperature, track temperature, humidity, pressure, rainfall, wind speed and wind direction throughout the session.

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Input

Field	Type	Default	Description
mode	select	sessions	sessions, laps, pit or weather
year	integer	2024	Season to scrape. OpenF1 data starts in 2023.
sessionKey	string	(empty)	OpenF1 session_key, e.g. 9662. Leave empty to auto-pick the latest race of that season.
maxItems	integer	500	Row cap, max 5000.

{
  "mode": "laps",
  "year": 2024,
  "sessionKey": "9662",
  "maxItems": 500
}

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Output samples

sessions

{
  "type": "session",
  "session_key": 9662,
  "session_name": "Race",
  "session_type": "Race",
  "meeting_key": 1252,
  "year": 2024,
  "location": "Yas Island",
  "country_name": "United Arab Emirates",
  "circuit": "Yas Marina Circuit",
  "date_start": "2024-12-08T13:00:00+00:00",
  "date_end": "2024-12-08T15:00:00+00:00",
  "source": "openf1",
  "scraped_at": "2026-07-28T14:12:03+00:00"
}

laps

{
  "type": "lap",
  "session_key": 9662,
  "driver_number": 1,
  "driver_name": "Max VERSTAPPEN",
  "team_name": "Red Bull Racing",
  "lap_number": 1,
  "lap_duration_s": 99.877,
  "sector1_s": 25.002,
  "sector2_s": 39.931,
  "sector3_s": 34.944,
  "speed_trap_kmh": 289,
  "i1_speed": 290,
  "i2_speed": 302,
  "is_pit_out_lap": false,
  "date_start": "2024-12-08T13:03:35.033000+00:00",
  "source": "openf1",
  "scraped_at": "2026-07-28T14:12:03+00:00"
}

pit

{
  "type": "pit",
  "session_key": 9662,
  "driver_number": 77,
  "driver_name": "Valtteri BOTTAS",
  "team_name": "Kick Sauber",
  "lap_number": 6,
  "pit_duration_s": 41.144,
  "stop_duration_s": 21.5,
  "date": "2024-12-08T13:14:05.238000+00:00",
  "source": "openf1",
  "scraped_at": "2026-07-28T14:12:03+00:00"
}

weather

{
  "type": "weather",
  "session_key": 9662,
  "date": "2024-12-08T12:07:44.039000+00:00",
  "air_temperature_c": 27.8,
  "track_temperature_c": 37.2,
  "humidity_pct": 42.0,
  "pressure_mbar": 1017.3,
  "rainfall": 0,
  "wind_direction_deg": 292,
  "wind_speed_ms": 1.0,
  "source": "openf1",
  "scraped_at": "2026-07-28T14:12:03+00:00"
}

Export as JSON, CSV, Excel, XML or via the Apify API. All fields are nullable — missing upstream values come back as null, never as a crash.

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Use cases

• F1 analytics — build race-pace models, stint analysis and tyre-degradation curves from real lap and sector times.
• Fantasy leagues — score drivers on true pace instead of finishing position, and spot undervalued midfielders before the deadline.
• Race dashboards — power a live-ish timing board, a Discord bot or a Grafana panel with session data refreshed on a schedule.
• Betting research — quantify pit-lane efficiency by team, correlate track temperature with lap-time deltas, and backtest strategy edges.

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How to find a session key

1. Run the actor with mode: "sessions" and your year.
2. Find the row you want in the dataset — filter by circuit and session_type.
3. Copy its session_key into the sessionKey input and switch mode to laps, pit or weather.

Or just leave sessionKey empty: the actor automatically picks the latest race of the season.

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Pricing

Roughly $0.5 per 1,000 items. A full race session of lap data (~1,000 laps) costs about half a dollar. The sessions mode for a whole season is ~123 rows — a few cents.

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Notes & limits

• OpenF1 covers the 2023 season onwards. For anything older, use f1-scraper.
• Data is unofficial and community-maintained. It is not affiliated with, endorsed by, or connected to Formula 1, the FIA or any team.
• Live sessions have a short delay; historical sessions are complete and stable.
• The actor retries transient errors automatically and fails loudly (RuntimeError) if a run would produce zero rows, so you never get a silently empty dataset.

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Related actors

• F1 Scraper (Ergast historical results) — full F1 history since 1950: results, standings, constructors.
• ESPN Scores Scraper — live scores and schedules across major leagues.
• Sports Scraper — multi-sport fixtures, results and tables.
• OpenLigaDB Scraper — German football (Bundesliga & more), free and keyless.

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Legal

This actor reads a public, keyless, community API. Only publicly available sporting data is collected — no personal data, no authentication, no scraping of gated content. "Formula 1", "F1" and related marks are trademarks of Formula One Licensing BV; this project is an independent tool and is not affiliated with them.