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Steam: most helpful reviews of three games
Competitor-research example: the 200 most helpful reviews of the last year for three games, positive and negative, with playtime and votes — a quick read on what players value in a genre.
Steam Reviews Scraper — Playtime, Votes, Languages, No Loginchorelet/steam-reviews-scraper
Game
Posted
Recommended
Language
+4 fieldsTextNumberBooleanListObject
Input
Games(required):413150+2
Order:all
Max reviews per game:200
Language:english
Output fields
Game
Posted
Recommended
Language
Review text
Helpful votes
Author
Review URL
Sign up on Apify01
Create your Apify account to access the Steam Reviews Scraper — Playtime, Votes, Languages, No Login.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
