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.
Input
Output fields
Sign up on Apify or log in
The Steam Reviews Scraper — Playtime, Votes, Languages, No Login Actor is ready to run with the inputs already set for "Steam: most helpful reviews of three games". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Steam: most helpful reviews of three games" task
The Steam Reviews Scraper — Playtime, Votes, Languages, No Login Actor will start running based on the input automatically. You can also change all the input fields, like games, order, and more, to match your specific use case.
Receive the "Steam: most helpful reviews of three games" 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 game, posted, recommended, 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 "Steam: most helpful reviews of three games" task via API.
Integrate "Steam: most helpful reviews of three games" into your workflow
Connect "Steam: most helpful reviews of three games" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay