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Trustpilot Sentiment Tracker

Automatically pull Trustpilot reviews, score sentiment, log everything to a spreadsheet, and alert your team on Slack.

Works with:TrustpilotTrustpilot

Free to start

1,000 credits included

No credit card required

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Setup time

~10 min

Time saved

1-2 hrs/week

Difficulty

Medium

Tools

1 connected

How it works

1

Pull Reviews

Get recent Trustpilot reviews with ratings and text

2

Score Sentiment

Classify each review and extract recurring complaint themes

3

Log to Sheets

Append structured data for every review to Google Sheets

4

Alert on Slack

Post a sentiment summary and flag negative spikes

Try asking

Track sentiment for shopify.com and post weekly to #brand-health
Pull this week's Trustpilot reviews for our domain and log to my tracking sheet
Are our Trustpilot reviews getting worse? Check the last 3 pages and alert #cs-team if so

View the agent prompt

See the full instructions this agent runs on — copy, edit, or customize it

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The Prompt

Task

Use @Trustpilot/Get ReviewsName it "Trustpilot/Get Reviews" and call it with @Trustpilot/Get Reviews to pull recent reviews for a domain. Classify each review by sentiment (positive/neutral/negative) and extract recurring themes. Log every review to @Google Sheets/Append RowName it "Google Sheets/Append Row" and call it with @Google Sheets/Append Row with structured data. Send a summary to @Slack/Send MessageName it "Slack/Send Message" and call it with @Slack/Send Message with alerts if negative sentiment exceeds thresholds.

Input

The user provides their domain, a Google Sheet for logging, and a Slack channel.

Example: "Track sentiment for shopify.com and post weekly to #brand-health"

Context

What to Track

  • Sentiment score per review and overall trends
  • Theme extraction (what people praise and complain about)
  • Alert triggers when negative sentiment exceeds 30%

Output

Slack Summary:

  • Average rating, sentiment breakdown, trending complaints
  • Alert banner if negative sentiment is high

Google Sheets: Each review logged with Date, Reviewer, Rating, Sentiment, Themes, Review Text

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