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Basketball Reference Table Scraper — Scheduled Monitoring

Run Basketball Reference Table Scraper for repeatable scheduled monitoring. Export structured results for research, reporting, integrations, and repeatable

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Basketball Reference Scraper — NBA Stats Tables
Basketball Reference Scraper — NBA Stats Tablesmuhammadafzal/basketball-reference-scraper
Page title
Table ID
Row label
Statistics
+2 fields
Text
Number
Boolean
List
Object

Input

Basketball Reference page URLs(required)
url:https://www.basketball-reference.com/players/c/curryst01.html
Table IDs:per_game_stats
Extract all tables:false
Include summary rows:false
Maximum result rows:100
Delay between page requests (ms):3200
Page timeout (seconds):30

Output fields

Page title
Table ID
Row label
Statistics
Source URL
Scraped at

How it works

Sign up on Apify or log in

The Basketball Reference Scraper — NBA Stats Tables Actor is ready to run with the inputs already set for "Basketball Reference Table Scraper — Scheduled Monitoring". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Basketball Reference Table Scraper — Scheduled Monitoring" task

The Basketball Reference Scraper — NBA Stats Tables Actor will start running based on the input automatically. You can also change all the input fields, like basketball reference page urls, table ids, and more, to match your specific use case.

Receive the "Basketball Reference Table Scraper — Scheduled Monitoring" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as page title, table id, row label, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Basketball Reference Table Scraper — Scheduled Monitoring" task via API.

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