⚽ Fantasy Premier League Scraper

🚀 Export every FPL player, team, gameweek and fixture in one run. Pull all 841 players across 20 Premier League clubs with price, points, form and ownership, ready for your draft model or differential hunt.

🕒 Last updated: 2026-06-04 · 📊 20 fields per player record · 841 players · 20 clubs · 38 gameweeks · 380 fixtures

The Fantasy Premier League Scraper reads the official Fantasy Premier League data feed and turns it into clean, structured rows you can sort, filter and load anywhere. Pick players to get every footballer with live price, total points, form, ownership, goals, assists, minutes, clean sheets and bonus. Switch the data type to pull the 20 clubs, the 38 gameweek schedule, or all 380 fixtures with scorelines and difficulty ratings.

Coverage spans the full current season. Player rows include a head shot photo URL, club name, playing position and injury or availability status, so you can build a transfer planner, a captaincy model, or a price change watchlist without touching the raw feed.

🎯 Target Audience	💡 Primary Use Cases
FPL managers and mini-league rivals	Transfer planning and differential hunting
Football data analysts	Player value and form modelling
Content creators and tipsters	Weekly team of the week and stat posts
App and bot developers	Powering Telegram or Discord FPL tools

📋 What the Fantasy Premier League Scraper does

This Actor connects to the official Fantasy Premier League data feed and returns one of four data sets per run, chosen with a single dropdown.

• Players returns all 841 players with photo, club, position, price, total points, form, ownership percent, goals, assists, minutes, clean sheets, bonus and availability news.
• Teams returns the 20 Premier League clubs with short name and attack, defence and overall strength ratings split by home and away.
• Gameweeks returns the 38 gameweek schedule with deadline times, average and highest scores and most selected and captained players.
• Fixtures returns all 380 matches with kickoff time, home and away clubs, scoreline, difficulty ratings and match status.

You can filter players by club and position, sort them by points, form, ownership, price, goals or assists, and cap how many rows you collect.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

The Actor accepts a small set of inputs. Only the data type is needed to get started, and it defaults to players.

Field	Type	Description
dataType	select	players, teams, gameweeks or fixtures. Defaults to players.
team	select	Limit players or fixtures to one of the 20 clubs. Empty means all clubs.
position	select	Limit players to Goalkeeper, Defender, Midfielder or Forward.
sortBy	select	Order players by total points, form, ownership, price, goals or assists.
maxItems	integer	Cap on rows. Free plan is limited to 10.

Example one, top scoring forwards:

{
    "dataType": "players",
    "position": "FWD",
    "sortBy": "totalPoints",
    "maxItems": 50
}

Example two, all fixtures for one club:

{
    "dataType": "fixtures",
    "team": "Arsenal"
}

⚠️ Good to Know: The team and position filters apply to the players data type, and the team filter also narrows fixtures. They are ignored for teams and gameweeks, which always return the full 20 clubs and 38 gameweeks.

📊 Output

Each player record contains the following fields.

Field	Description
🖼 imageUrl	Player head shot photo URL
🆔 id	Player element identifier
📌 name	Display name
🪪 fullName	First and last name
🩺 status	Availability code (a available, i injured, d doubtful, s suspended, u unavailable)
🏟 team	Club name
🎽 position	Playing position
💷 price	Current price in millions
⭐ totalPoints	Total points this season
📈 form	Recent form score
👥 selectedByPercent	Ownership across all managers
⚽ goals	Goals scored
🅰️ assists	Assists
⏱ minutes	Minutes played
🧤 cleanSheets	Clean sheets
🎁 bonus	Bonus points
📰 news	Injury or availability note when present
🔢 playerCode	Source photo code
🕒 scrapedAt	Collection timestamp
❌ error	Null on success

Three real player records from a live run:

{
    "imageUrl": "https://resources.premierleague.com/premierleague/photos/players/110x140/p223094.png",
    "id": 430,
    "name": "Haaland",
    "fullName": "Erling Haaland",
    "status": "a",
    "team": "Man City",
    "position": "Forward",
    "price": 14.7,
    "totalPoints": 239,
    "form": 5,
    "selectedByPercent": 62.5,
    "goals": 27,
    "assists": 8,
    "minutes": 2953,
    "cleanSheets": 13,
    "bonus": 43,
    "news": "",
    "playerCode": 223094,
    "scrapedAt": "2026-06-04T20:00:18.550Z",
    "error": null
}

{
    "imageUrl": "https://resources.premierleague.com/premierleague/photos/players/110x140/p141746.png",
    "id": 449,
    "name": "B.Fernandes",
    "fullName": "Bruno Borges Fernandes",
    "status": "a",
    "team": "Man Utd",
    "position": "Midfielder",
    "price": 10.4,
    "totalPoints": 235,
    "form": 8.7,
    "selectedByPercent": 48,
    "goals": 9,
    "assists": 24,
    "minutes": 3065,
    "cleanSheets": 7,
    "bonus": 41,
    "news": "",
    "playerCode": 141746,
    "scrapedAt": "2026-06-04T20:00:18.550Z",
    "error": null
}

{
    "imageUrl": "https://resources.premierleague.com/premierleague/photos/players/110x140/p226597.png",
    "id": 5,
    "name": "Gabriel",
    "fullName": "Gabriel dos Santos Magalhães",
    "status": "a",
    "team": "Arsenal",
    "position": "Defender",
    "price": 7.3,
    "totalPoints": 209,
    "form": 6,
    "selectedByPercent": 45.4,
    "goals": 3,
    "assists": 5,
    "minutes": 2750,
    "cleanSheets": 18,
    "bonus": 30,
    "news": "",
    "playerCode": 226597,
    "scrapedAt": "2026-06-04T20:00:18.548Z",
    "error": null
}

✨ Why choose this Actor

• Four data sets in one Actor. Players, teams, gameweeks and fixtures share the same clean schema, so you switch sets with a single dropdown.
• Official source. Data comes straight from the Fantasy Premier League data feed, the same numbers you see in the game.
• Player photos included. Every player row carries a head shot URL, ready to drop into a dashboard or card.
• Filter and sort built in. Narrow by club and position and rank by the metric that matters for your move.
• Friendly fields. Club names, position names and readable prices replace the raw numeric codes in the source.

📈 How it compares to alternatives

Approach	Coverage	Friendly fields	Photos	Setup
This Actor	Players, teams, gameweeks, fixtures	Yes	Yes	One dropdown
Copy from the game site	Manual, one screen at a time	No	No	Tedious
Generic JSON tools	Raw codes only	No	No	Needs mapping work
Spreadsheet plugins	Often stale	Partial	No	Fragile

🚀 How to use

1. Sign in or create a free Apify account using this sign-up link.
2. Open the Fantasy Premier League Scraper and choose a data type, starting with players.
3. Optionally set a club, a position, a sort order and a max items cap.
4. Click Start and watch the run log fill with collected records.
5. Open the dataset tab and use the results through the table view or the dataset URL.

💼 Business use cases

📰 Content and media

Need	How this helps
Weekly stat posts	Pull top scorers and form players in seconds
Captaincy picks	Rank by form and ownership for differential angles

📱 App and bot building

Need	How this helps
FPL Discord or Telegram bots	Feed live player prices and points into commands
Transfer planner apps	Power a price and form table for users

📊 Analytics and modelling

Need	How this helps
Player value models	Combine price, minutes and points into value scores
Fixture difficulty planning	Use fixture difficulty ratings per club run

🏆 Mini-league strategy

Need	How this helps
Beat your rivals	Track ownership to find low owned high upside picks
Injury watch	Read the news field to dodge flagged players

🔌 Automating Fantasy Premier League Scraper

Connect the Actor to the tools you already use.

• Make and Zapier can trigger a run on a schedule and route rows onward.
• Slack can post a weekly form table to your mini-league channel.
• Airbyte can sync the dataset into a warehouse for modelling.
• GitHub Actions can run a scheduled collection and commit a snapshot.
• Google Drive can store each run as a sheet for your group.

🌟 Beyond business use cases

• Research. Study how price, form and ownership move across a season.
• Personal. Build a private team planner for your own squad.
• Non-profit. Run a community prediction league with shared data.
• Experimentation. Train a simple model to forecast next gameweek points.

🤖 Ask an AI assistant

Paste a dataset row into your assistant and ask for help.

• ChatGPT, Claude, Perplexity and Copilot can all summarise top picks, suggest transfers, or draft a captaincy argument from the fields you collect.

❓ Frequently Asked Questions

Where does the data come from? The official Fantasy Premier League data feed, the same source that powers the game.

Which data types can I pull? Players, teams, gameweeks and fixtures, selected with a single dropdown.

How many players are returned? All 841 players in the current season pool, before any filters.

Can I get only one club? Yes. Set the team filter to narrow players, and it also narrows fixtures.

How do I find forwards or goalkeepers? Use the position filter on the players data type.

Are player photos included? Yes. Each player row carries a head shot photo URL.

What does the price field mean? The current in game price in millions, for example 14.7.

Why is the news field sometimes empty? News only fills in when a player has an injury, suspension or availability note. Available players have an empty news field, which is expected.

Can I sort the players? Yes. Sort by total points, form, ownership, price, goals or assists.

How many fixtures are there? All 380 matches of the season, with scorelines for completed games.

Is there a free limit? Free plan runs are capped at 10 rows. Paid plans lift the cap.

Does this need any login or key? No. The Actor reads the public data feed for you.

🔌 Integrate with any app

Every run writes to an Apify dataset you can read through the dataset URL or the Apify API, so any app that can call an HTTP endpoint can consume the rows.

🔗 Recommended Actors

• Understat xG Scraper for expected goals and assists data.
• FBref Scraper for deep football match and player statistics.
• Transfermarkt Scraper for player market values and transfers.
• Bundesliga Stats Scraper for German top flight numbers.
• Sofascore Live Scraper for live match data across competitions.

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: This is an independent tool, not affiliated with the Premier League or Fantasy Premier League. Only publicly available data is collected.