Automate sentiment extraction from Trustpilot reviews and sync insights to CRM and analytics in real time.
The AI agent pulls Trustpilot reviews via Decodo, analyzes sentiment with AI, and compiles actionable insights. It writes a sentiment summary into a Salesforce custom field for each account. It also stores structured metrics in Google Sheets to support dashboards and reporting.
Collects reviews, analyzes sentiment, and pushes insights to your CRM and analytics.
Read Trustpilot review URLs and Salesforce Account IDs from Google Sheets.
Scrape Trustpilot reviews using Decodo.
Analyze sentiment, trends, and key positives/negatives with OpenAI.
Generate sentiment distribution and keyword insights.
Update Salesforce Account with sentiment summary in a custom field.
Store metrics in Google Sheets and keep a reusable dataset.
Before, data sits in separate systems and updates lag behind feedback. After, sentiment summaries populate Salesforce and Google Sheets in real time, enabling timely actions.
A simple 3-step flow that non-technical users can follow.
Reads Trustpilot review URLs and Salesforce Account IDs from Google Sheets to define what to process.
Scrapes reviews using Decodo and analyzes sentiment, trends, and key phrases with OpenAI.
Updates Salesforce with the sentiment summary and writes the analytics dataset to Google Sheets in parallel.
A realistic nightly run scenario for a mid-size set of accounts.
Scenario: A marketing ops team monitors 20 Trustpilot accounts. The agent scrapes reviews, analyzes sentiment, and updates Salesforce with a recent_trend_summary__c field while refreshing a Google Sheets analytics sheet with ratings, sentiment distribution, and trend summaries. The process completes in under 20 minutes and makes sentiment data available for dashboards and CRM context for the next business day.
Six roles that gain from this AI agent.
Keeps CRM context up to date with customer sentiment.
Gets centralized sentiment signals for campaigns and messaging.
Identifies at-risk accounts and prioritizes follow-ups.
Accesses structured sentiment metrics for dashboards.
Automates cross-system data flow to save manual work.
Tracks user feedback trends to inform roadmaps.
Connects data sources and destinations to automate sentiment workflows.
Scrapes Trustpilot reviews reliably.
Performs sentiment analysis and keyword extraction.
Updates account fields with sentiment summaries.
Stores metrics and reads IDs for processing.
Orchestrates the workflow between sources and destinations.
Six practical scenarios that demonstrate concrete value.
Practical, real-world concerns with detailed answers.
The agent processes Trustpilot reviews via Decodo and writes results to Salesforce and Google Sheets. It ingests input IDs and URLs from Google Sheets and updates existing Salesforce accounts. You can extend inputs by adding additional sources, but the current flow is configured for Trustpilot reviews and CRM syncing. Any changes require reconfiguration in the n8n workflow and API keys. Security and access controls stay as in your connected apps.
Yes. The agent reads a list of Salesforce Account IDs from Google Sheets and updates each matching account with a sentiment summary. It processes accounts in parallel where possible to reduce total runtime. You can set filters to limit processing to specific accounts or segments. The updates are logged, and you can review changes in Salesforce audit trails.
All connections use your existing authenticated credentials. API keys for Decodo and OpenAI are stored securely in your environment. Access to Salesforce and Google Sheets is governed by your org permissions. The workflow respects field-level security and data governance rules in your systems. Regular reviews of permissions are recommended to maintain compliance.
The cadence is configurable, typically nightly or near real-time for high-priority accounts. Each run scrapes the latest reviews, analyzes sentiment, and pushes updates to Salesforce and Google Sheets within minutes. Dashboards reflect the new data after the sheets are updated. You can adjust the frequency based on data volume and business need.
If the expected fields are absent, the agent logs a clear error and skips only the affected account or row. It will retry on the next run once the missing field is created or the row is corrected. You can configure fallback defaults for missing values to maintain workflow continuity. The system also surfaces actionable remediation steps in logs.
The architecture supports adding new data sources by extending the input ingestion layer and mapping outputs to Salesforce and Sheets. Adding a new source typically requires updating the input retrieval step and ensuring a compatible analyzer is available. You'd also need to update the integrations to direct outputs to the right fields or sheets. It’s best done with staged testing to validate data quality and workflow behavior.
A basic understanding of Google Sheets, Salesforce, and API connections is helpful. The workflow is designed to be configured with keys and IDs rather than code changes. If you can manage connections in n8n and adjust a few field mappings, you can deploy and operate the agent. For more complex adjustments, a lightweight onboarding with your admin or a consultant is recommended.
Automate sentiment extraction from Trustpilot reviews and sync insights to CRM and analytics in real time.
