Analyze online store reviews: delivery, quality, support
Sherwood
Analyze the reviews of an online store against your own themes (here: delivery, product quality, customer support, returns and refunds, price). Each review gets a sentiment, the themes it praises or criticizes and a severity; each store gets a summary and its unanswered complaints. Works with Trustpilot or Google review scrapers. The sample uses fictional reviews.
Input
Output fields
Sign up on Apify or log in
The Review Analyzer API — Sentiment, Topics & Complaints Actor is ready to run with the inputs already set for "Analyze online store reviews: delivery, quality, support". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Analyze online store reviews: delivery, quality, support" task
The Review Analyzer API — Sentiment, Topics & Complaints Actor will start running based on the input automatically. You can also change all the input fields, like reviews and your own themes, to match your specific use case.
Receive the "Analyze online store reviews: delivery, quality, support" 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 business, reviews, rating, 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 "Analyze online store reviews: delivery, quality, support" task via API.

Integrate "Analyze online store reviews: delivery, quality, support" into your workflow
Connect "Analyze online store reviews: delivery, quality, support" 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