Amazon Review Health Check - Rating Risk & Polarization
Check an Amazon listing's review health: rating vs the 4-star conversion cliff, 1-star share, ratings volume and the polarized-rating pattern (lots of 5-star and 1-star, little in between) that flags incentivised reviews or quality issues - plus Amazon's own AI review summary.
Input
Output fields
Sign up on Apify or log in
The Amazon Listing Audit - Listing Score, Reviews & Competitor Gaps Actor is ready to run with the inputs already set for "Amazon Review Health Check - Rating Risk & Polarization". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Amazon Review Health Check - Rating Risk & Polarization" task
The Amazon Listing Audit - Listing Score, Reviews & Competitor Gaps Actor will start running based on the input automatically. You can also change all the input fields, like 📦 your products (asins or urls) and marketplace, to match your specific use case.
Receive the "Amazon Review Health Check - Rating Risk & Polarization" 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 ASIN, role, brand, 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 "Amazon Review Health Check - Rating Risk & Polarization" task via API.
Integrate "Amazon Review Health Check - Rating Risk & Polarization" into your workflow
Connect "Amazon Review Health Check - Rating Risk & Polarization" 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