Skip to content

Templates

Collect and analyze customer reviews from multiple platforms to understand product sentiment. Scores tone and surfaces the themes driving it.
E-commerceIntermediate

01The config

MCP Configuration

review-sentiment-analyzer.json
{  "tools": [    {      "name": "search_web",      "params": {        "query": "\"product name\" reviews",        "max_results": 10      }    },    {      "name": "scrape_structured",      "params": {        "schema": {          "reviewer": "string",          "rating": "number",          "text": "string",          "date": "string"        }      }    },    {      "name": "analyze_content",      "params": {        "metrics": [          "sentiment",          "topics"        ]      }    }  ]}

Tags

  • #reviews
  • #sentiment
  • #analysis
  • #e-commerce

02The run

How It Works

10◆ credits
Estimated total: ~10 credits per run
  1. 01search_web 5 credits
  2. 02scrape_structured 2 credits
  3. 03analyze_content 3 credits

03Keep exploring

Related Templates

E-commerceIntermediate

Competitor Pricing Monitor

Track competitor prices across e-commerce sites with automated batch scraping and change detection. Runs on a schedule and alerts you when a price moves.

batch_scrape 5 creditsscrape_structured 2 credits

Total: ~7 credits per run

E-commerceBeginner

E-commerce Product Extraction

Extract structured product data including prices, descriptions, and images from online stores. Returns a consistent JSON schema across every retailer.

scrape_structured 2 creditsextract_metadata 1 credit

Total: ~3 credits per run

Start forging

Ready to Use This Template?

Every new account gets 1,000 free credits. No credit card required.