ESPN Formula 1 Scraper

ESPN Formula 1 Scraper

Scrape Formula 1 results, team data, and news from ESPN, up to a million items per run. Every record comes with structured race data, team details, or article information. No login or API key. Export to CSV, JSON, Excel, or XML.

ESPN's public F1 pages are built for browsers, not for bulk analysis. This Actor reads the scoreboard, teams, and news feeds directly, filters by date, and returns each match in one fixed schema. You get clean, structured data without writing a single parser.

Who uses it	What they scrape ESPN for
F1 data analysts	Building historical race result databases for performance modeling.
Sports journalists	Monitoring breaking F1 news and team announcements for story leads.
Fantasy league developers	Pulling driver and constructor standings to power fantasy platforms.
Betting modelers	Collecting race outcomes and team stats to feed predictive algorithms.

What it does

This Actor collects Formula 1 scoreboard results, team information, or news articles from ESPN and returns each one as a flat row.

• 🏎️ Scoreboard endpoint: fetches race results, driver standings, and constructor points for a given date.
• 👥 Teams endpoint: retrieves current team rosters, car details, and season statistics.
• 📰 News endpoint: pulls the latest F1 headlines, article summaries, and publication dates.
• 📅 Date filter: target a specific race weekend by providing a YYYYMMDD date, or leave empty for today's data.
• 🔢 Max items control: set a hard limit from 1 to 1,000,000 results to cap your dataset size.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with ESPN data

📊 Archive race results.

A data engineer runs the scoreboard endpoint daily to build a complete, queryable history of F1 race outcomes and driver standings.

📝 Track team changes.

A motorsport blogger scrapes the teams endpoint weekly to catch driver swaps, car updates, and constructor stats for season preview articles.

📰 Monitor F1 news.

A content aggregator pulls the news endpoint every hour to surface breaking stories and ESPN exclusives on their platform.

📈 Feed a prediction model.

A betting analyst collects dated race results to train a machine learning model on track-specific driver performance.

Why choose this scraper

	What you get
No API key needed	Access public ESPN F1 feeds without registration or OAuth.
Structured output	Every race, team, or news item lands as a clean, flat row ready for analysis.
Date-targeted	Pull results from a specific race day instead of scraping the entire season.
Flexible endpoints	One Actor covers scoreboards, teams, and news, no need for separate scrapers.

How it compares

This Actor focuses exclusively on ESPN's Formula 1 data, while the competitors below cover multiple sports. Here is how they compare on F1-specific capabilities.

Feature	ParseForge	ESPN MCP Server	ESPN Sports Scraper	ESPN Scraper - Scores, Fixtures & Teams
F1-specific endpoint selection	Yes (scoreboard, teams, news)	Not listed	Not listed	Not listed
Date filter for historical F1 races	Yes (YYYYMMDD)	Not listed	Not listed	Not listed
F1 news scraping	Yes	Yes	Yes	Not listed
F1 team rosters and stats	Yes	Yes	Yes	Yes
No API key or OAuth required	Yes	Not listed	Yes	Yes
Up to 1,000,000 results per run	Yes	Not listed	Not listed	Not listed

Configure the run

Drive the Actor by selecting an endpoint and optionally a date, and the max items limit caps how many records reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "endpoint": "scoreboard",
 "maxItems": 10
}

A larger pull:

{
 "endpoint": "scoreboard",
 "maxItems": 200
}

Pricing

Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.85
1,000 results	$8.50
10,000 results	$85.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the ESPN Formula 1 Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to ESPN through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/espn-f1-results-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Ensure the date filter, if used, is a valid YYYYMMDD date with an actual race. On non-race days, the scoreboard may be empty. Try removing the date filter to fetch today's data, or switch to the news or teams endpoint.

Why does the run stop after only 10 items?

Free Apify users are limited to a 10-item preview. Upgrade to a paid plan to increase the max items limit up to 1,000,000.

The data looks different from what I see on the ESPN website.

ESPN occasionally updates its page layout. If the output schema changes unexpectedly, check the Actor's run log for parsing warnings and consider updating to the latest Actor version.

I get an error when using a date filter.

The date must be exactly 8 digits in YYYYMMDD format, e.g., 20240302 for March 2, 2024. Do not include hyphens or slashes.

The run takes a long time or times out.

Lower the max items limit. Requesting a very large number of items can increase run time. If you need millions of records, split the job across multiple runs with different date ranges.

FAQ

Question	Answer
What F1 data can I scrape with this Actor?	You can scrape race results and standings from the scoreboard, team rosters and stats from the teams endpoint, and headlines and summaries from the news feed. The endpoint selector lets you choose which dataset to target.
Can I get historical F1 results, not today's?	Yes. Use the optional date filter in YYYYMMDD format to target a specific race day. Leave it empty to fetch the current day's data.
How many results can I pull in one run?	Free users are limited to a 10-item preview. Paid Apify users can set the max items limit up to 1,000,000 per run.
Does this scraper require an ESPN API key?	No. It reads the public ESPN web pages directly, so no registration, API key, or OAuth flow is needed.
What format does the output come in?	The Actor returns data in a standard Apify dataset. You can export it to CSV, JSON, Excel, or XML from the Apify console or via API.
Can I scrape F1 data for a whole season at once?	The Actor fetches data for one date per run. To collect a full season, run it multiple times with different date values, or schedule it to run after each race weekend.
Does it scrape live, in-progress race data?	It captures whatever ESPN displays on the public page at the moment of the request. For live updating data, you can schedule the Actor to run at short intervals during a race.
Is this limited to Formula 1, or can I scrape other sports?	This Actor is built specifically for ESPN's Formula 1 section. For other sports, consider a general ESPN scraper from the Apify Store.
What do I do if I get an empty dataset?	Check that your date filter matches a real race day. If you leave the date empty, it fetches today's data, which may be empty on non-race days. Also verify the endpoint selection.
Can I filter news articles by keyword or author?	The Actor does not have keyword or author filters. It pulls the latest headlines from the ESPN F1 news feed, and you can filter the resulting dataset after the run.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by ESPN, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.