SmartCustomer Reviews Scraper

Extract public SmartCustomer reviews and legacy Sitejabber review pages into clean datasets for reputation monitoring, ecommerce research, support triage, and competitor analysis.

Use this Actor when you need company review text, star ratings, public reviewer names, business metrics, rating distribution, source URLs, and export-ready records in CSV, JSON, Excel, API, or webhook workflows.

At a glance

• Primary job: Scrape public SmartCustomer company review pages, including legacy sitejabber.com/reviews/... links that now resolve to SmartCustomer.
• Input: Provide SmartCustomer URLs, Sitejabber legacy URLs, or bare company domains such as etsy.com.
• Output: One dataset row per review with review text, rating, dates, public reviewer details, and business-level metrics.
• Best for: Reputation monitoring, ecommerce trust research, complaint triage, market research, sentiment analysis, and recurring exports.

Who is it for?

• Reputation teams tracking new negative reviews for a brand or portfolio.
• Support and ecommerce teams triaging customer complaints and recurring pain points.
• Market researchers comparing public sentiment across competitors.
• Compliance and trust teams exporting evidence from public company review pages.
• Data teams feeding public reviews into sentiment, BI, or warehouse pipelines.

Input recipes

Brand reputation monitor

{
  "companies": ["etsy.com"],
  "ratings": [1, 2],
  "maxItems": 20,
  "maxReviewsPerCompany": 20,
  "includeBusinessInfo": true,
  "includeReviewerInfo": true
}

Competitor benchmark

{
  "companies": ["etsy.com", "ebay.com"],
  "maxItems": 30,
  "maxReviewsPerCompany": 15,
  "includeBusinessInfo": true,
  "includeReviewerInfo": false
}

Legacy Sitejabber URL export

{
  "startUrls": [{ "url": "https://www.sitejabber.com/reviews/etsy.com" }],
  "maxItems": 50,
  "maxReviewsPerCompany": 50
}

What data can you extract?

Example input

{
  "companies": ["etsy.com"],
  "maxItems": 10,
  "maxReviewsPerCompany": 10,
  "includeBusinessInfo": true,
  "includeReviewerInfo": true
}

Example output

{
  "businessName": "Etsy",
  "businessDomain": "etsy.com",
  "businessUrl": "https://www.smartcustomer.com/reviews/etsy.com",
  "categoryBreadcrumbs": ["Shopping", "Marketplace", "Etsy"],
  "overallRating": 1.6,
  "totalReviews": 1573,
  "reviewId": "2646",
  "reviewUrl": "https://www.smartcustomer.com/reviews/etsy.com#2646",
  "title": "Blacklisted Etsy forever",
  "body": "I am deeply disappointed and outraged by my experience on Etsy...",
  "rating": 1,
  "publishedDate": "2026-07-04",
  "reviewerName": "GP g.",
  "reviewerUrl": "https://www.smartcustomer.com/users/galyasik1",
  "pageNumber": 1,
  "sourceUrl": "etsy.com",
  "scrapedAt": "2026-07-19T08:15:49.300Z"
}

Tips for best results

• Start with domains: companies: ["etsy.com"] is the simplest way to target a business page.
• Use legacy links directly: Old sitejabber.com/reviews/... links are accepted and normalized.
• Filter low ratings: Use ratings: [1, 2] for complaint monitoring and support triage.
• Keep batches bounded: Use maxReviewsPerCompany to avoid one company consuming the full run.
• Expect public-page limits: The Actor only exports data publicly visible on SmartCustomer review pages.

API usage

Node.js:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/smartcustomer-reviews-scraper').call({
  companies: ['etsy.com'],
  maxItems: 10
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python:

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/smartcustomer-reviews-scraper').call(run_input={
    'companies': ['etsy.com'],
    'maxItems': 10,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL:

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~smartcustomer-reviews-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"companies":["etsy.com"],"maxItems":10}'

MCP and automation

Add the Actor to Claude Desktop or Claude Code through Apify MCP:

claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/smartcustomer-reviews-scraper"

JSON configuration:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/smartcustomer-reviews-scraper"
    }
  }
}

Example prompts:

• "Export the latest 20 one-star SmartCustomer reviews for etsy.com."
• "Compare public SmartCustomer review sentiment for etsy.com and ebay.com."
• "Create a CSV of public review titles, ratings, and review dates for this SmartCustomer page."

Limits and troubleshooting

• No private data: The Actor does not log in, bypass paywalls, or collect private account data.
• Unexpected zero results: Check that the company has a public SmartCustomer review page and that your rating/verified filters are not too narrow.
• Large runs: Increase requestDelay and use Apify Proxy if you see transient 429/5xx failures.
• Missing optional fields: Reviewer location, business replies, media counts, and verification markers are only returned when publicly visible in the page data.

Support

If something does not work, open an issue on the Actor page and include:

• the input JSON you used,
• the run ID or run URL,
• the expected output,
• the actual output or error message,
• a reproducible public URL from SmartCustomer or Sitejabber.