Hockey Reference NHL Stats Scraper
Pricing
from $19.00 / 1,000 results
Hockey Reference NHL Stats Scraper
Scrapes NHL player statistics from Hockey Reference by season and player type. Returns one row per player with basic and advanced stats.
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
1
Monthly active users
11 hours ago
Last modified
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Hockey Reference NHL Stats Scraper
Scrape NHL player stats from Hockey Reference by season, for skaters or goalies, up to a million rows per run. Every player comes with their team, position, games played, goals, assists, points, and advanced metrics. No login or API key. Export to CSV, JSON, Excel, or XML.
Hockey Reference is the go-to public source for NHL player statistics, but it has no official API and scraping it by hand means copying tables season by season. This Actor reads the season stat pages directly, for skaters or goalies, and returns each player as one flat row with their basic and advanced numbers. You control the season and how many records to collect.
| Who uses it | What they scrape Hockey Reference for |
|---|---|
| Fantasy hockey analysts | Pull full-season skater and goalie stats to rank players for drafts and trades |
| Sports journalists | Gather season totals for articles, previews, and player profiles |
| Hockey data hobbyists | Build personal datasets of NHL stats across multiple seasons |
| Betting modelers | Collect player performance data to feed predictive models |
What it does
This Actor collects NHL player statistics from Hockey Reference for a given season and player type, and returns each player as one flat row.
- ๐ Skaters or goalies: pick one player type per run, each with its own stat columns.
- ๐ Season selector: set the season end year, like 2024 for the 2023-24 NHL season.
- ๐ข Row limit: cap the number of records from 1 up to 1,000,000 per run.
- ๐ฆ Flat output: every player is one row, ready for CSV, JSON, Excel, or XML export.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with Hockey Reference data
๐ Build a season dataset.
A data analyst runs the Actor for the 2023-24 season with playerType set to skaters and maxItems 1000, then exports the CSV to compare point totals across the league.
๐ Rank fantasy goalies.
A fantasy hockey player pulls goalie stats for the current season, filters by save percentage and games played, and uses the output to set their draft board.
๐ฐ Fact-check a player profile.
A sports writer runs the Actor for a specific season to verify a player's goals, assists, and plus-minus before publishing a feature story.
๐ Feed a betting model.
A modeler collects skater stats for the last five seasons, one run per season, and joins the outputs to train a points prediction model.
Why choose this scraper
| What you get | |
|---|---|
| No API key | Reads the public Hockey Reference pages directly, no registration or OAuth |
| One row per player | Flat schema with basic and advanced stats, easy to join or export |
| Season by season | Pull any NHL season from the modern era by its end year |
| Skaters and goalies | Separate stat sets for each player type, no mixed columns |
How it compares
No other Store actor targets Hockey Reference the same way, so the honest comparison is with the alternatives teams actually weigh.
| Hockey Reference NHL Stats Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When Hockey Reference changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor with a season and a player type, and set a maximum number of records to collect per run. The Input tab lists every parameter.
A first run with the defaults:
{"season": "2024","playerType": "skaters","maxItems": 10}
A larger pull:
{"season": "2024","playerType": "skaters","maxItems": 200}
Pricing
Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $2.10 |
| 1,000 results | $21.00 |
| 10,000 results | $210.00 |
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
- Create a free Apify account with $5 in credit.
- Open the Hockey Reference NHL Stats Scraper.
- Set your inputs and any filters, then click Start.
- 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 Hockey Reference 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/hockey-reference-scraper"
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check that the season you entered exists on Hockey Reference and that the player type matches the available tables. Also make sure maxItems is set to at least 1.
Why are some player rows missing advanced stats?
Advanced stats may not be available for all seasons or player types on Hockey Reference. Try a more recent season or switch player type.
The run is taking too long.
Lower the maxItems value to collect fewer records, or check your Apify plan's memory and timeout settings.
I get an error about the season format.
Enter the season as a four-digit end year, like 2024, without any extra characters or the full season range.
The output has duplicate players.
Hockey Reference may list a player on multiple teams in one season. Use a deduplication step in your downstream processing if needed.
FAQ
| Question | Answer |
|---|---|
| What is Hockey Reference? | Hockey Reference is a public website by Sports Reference LLC that provides NHL player and team statistics for every season in league history. |
| What data does this Actor return? | It returns one row per player for the selected season and player type, including basic stats like goals, assists, and points, plus advanced metrics such as Corsi and Fenwick where available. |
| Do I need an API key or login? | No. The Actor reads the public Hockey Reference pages directly, so there is no registration, OAuth, or API key required. |
| Can I scrape both skaters and goalies in one run? | No, each run collects one player type. Run the Actor twice, once with playerType set to skaters and once to goalies, to get both. |
| How do I specify the season? | Use the season input field with the season end year. For example, enter 2024 for the 2023-24 NHL season. |
| What is the maximum number of records I can collect? | You can set maxItems up to 1,000,000 records per run. The default is 10. |
| What export formats are supported? | The Actor outputs data in CSV, JSON, Excel, and XML formats through the Apify platform. |
| Does this Actor get advanced stats like Corsi or Fenwick? | Yes, the advanced stats tables on Hockey Reference are included when available for the selected season and player type. |
| Can I scrape historical seasons? | Yes, you can enter any season end year that exists on Hockey Reference, from the early NHL years to the current season. |
| Is this Actor affiliated with Hockey Reference? | No, this is an independent scraper built for the Apify platform. It is not affiliated with or endorsed by Sports Reference LLC. |
Related actors
Browse the full ParseForge collection for more scrapers.
๐ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
โ ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Sports Reference LLC. 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.
