Find why customers leave one-star Slack reviews
Automation Craft
Pull only the one-star Slack reviews on G2, recent ones plus older archive reviews, de-duplicated. Each row keeps the dislikes and the problems the product was supposed to solve in separate fields, which is the fastest raw material for churn and win/loss work. Capped at 40 reviews per product, so the run costs about four cents.
Input
Output fields
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The G2 Reviews Scraper: Ratings, Pros and Cons Actor is ready to run with the inputs already set for "Find why customers leave one-star Slack reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Find why customers leave one-star Slack reviews" task
The G2 Reviews Scraper: Ratings, Pros and Cons Actor will start running based on the input automatically. You can also change all the input fields, like g2 products, which reviews to collect, and more, to match your specific use case.
Receive the "Find why customers leave one-star Slack reviews" 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 record type, product, product slug, 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 "Find why customers leave one-star Slack reviews" task via API.
Integrate "Find why customers leave one-star Slack reviews" into your workflow
Connect "Find why customers leave one-star Slack reviews" with 100+ integrations, or run it via API or MCP.
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