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Shopperapproved Reviews
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Shopperapproved Reviews

Shopperapproved Reviews

Under maintenance

Extract verified ShopperApproved customer reviews with structured JSON output. This Apify Actor collects ratings, reviewer details, service and product scores, and feedback data—ideal for reputation monitoring, sentiment analysis, and e-commerce insights at scale.

Pricing

from $4.00 / 1,000 results

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datawizards

datawizards

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4 days ago

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⭐ Shopperapproved Reviews · Apify Actor

Extract verified customer reviews, ratings, and feedback from ShopperApproved using clean, structured JSON output — ideal for reputation monitoring, sentiment analysis, and e-commerce intelligence.

Built and maintained by DataWizards.


📌 What Is Shopperapproved Reviews?

The Shopperapproved Reviews Apify Actor allows you to programmatically scrape public customer reviews from ShopperApproved review endpoints. It collects detailed review metadata, including ratings, reviewer name, verification status, service/product scores, and timestamps — without manual effort.

This actor is designed for developers, analysts, SaaS teams, and e-commerce businesses who need reliable customer feedback data at scale.


🧠 Key Features

  • ✅ Extracts verified ShopperApproved reviews
  • ✅ Structured, ready-to-use JSON output
  • ✅ Includes overall, product, and customer service ratings
  • ✅ Captures reviewer name, date, and full review text
  • ✅ Supports Apify Proxy with RESIDENTIAL IPs
  • ✅ Lightweight, fast, and scalable
  • ✅ Ideal for automation and dashboards

🛠️ Input Configuration

This actor requires Apify Proxy to ensure stable access and reduce blocking.

{
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}

🔐 Proxy Notes

  • useApifyProxy must be set to true
  • RESIDENTIAL proxy group is strongly recommended for consistency and accuracy

📤 Output Example

The actor returns a structured JSON array like the following:

[
{
"url": "https://www.shopperapproved.com/reviews/1ereavenue.com/data/review-data",
"review_id": "211568938",
"rating": "4.0",
"reviewer_name": "Annick Van Kalleveen-Morangier",
"review_date": "2025-12-26 12:16:22",
"review_text": "Satisfied with quality (I prefer the made in Canada to....) delivery on time.",
"verified_purchase": "1",
"address": "",
"customer_service_rating": "5.0",
"product_rating": "5.0",
"product_feedbacks": [],
"custom_feedbacks": []
}
]

📊 Data Fields Explained

FieldDescription
urlSource ShopperApproved review endpoint
review_idUnique review identifier
ratingOverall rating score
reviewer_nameName of the reviewer
review_dateReview submission timestamp
review_textFull customer feedback
verified_purchaseIndicates verified buyer (1 = verified)
customer_service_ratingCustomer service score
product_ratingProduct satisfaction score
product_feedbacksProduct-specific feedback array
custom_feedbacksCustom review attributes (if available)

🚀 Use Cases

  • 🛒 Brand Reputation Monitoring – Track customer satisfaction over time
  • 📈 Sentiment Analysis – Feed reviews into NLP or AI pipelines
  • 🧩 E-commerce Intelligence – Analyze service vs product ratings
  • 🧠 Market Research – Identify recurring customer pain points
  • 🔄 Automation Pipelines – Integrate with CRMs, BI tools, or dashboards

✅ Best Practices

  • Always use RESIDENTIAL proxies for reliable results
  • Schedule scraping during off-peak hours for large datasets
  • Store review IDs to avoid duplicates
  • Respect ShopperApproved’s public data usage policies
  • Combine with analytics tools for deeper insights

🤝 Support & Customization

Need custom fields, simplified output, or actor enhancements? DataWizards are always ready for you.

📩 Email: hello.datawizard@gmail.com ✉️ Email Subject: Shopperapproved Reviews Actor – Support Request 🔗 LinkedIn: https://linkedin.com/in/data-wizards-aa8080342


🧰 Need Something More?

Whether you want:

  • Custom review filters
  • Simplified or normalized output
  • New marketplaces supported
  • Bug fixes or performance tuning

👉 DataWizards will build it for you.

For more custom/simplified outputs or bug reports, please contact: 📧 hello.datawizard@gmail.com ✉️ Subject: Custom Support – Shopperapproved Reviews Actor


🐞 Feedback & Bug Reports

Found an issue or have a feature request?

📧 Email: hello.datawizard@gmail.com ✉️ Subject: Bug Report – Shopperapproved Reviews Actor Or report directly via Apify Issues.


🏁 Start extracting trustworthy customer reviews with Shopperapproved Reviews

your reliable solution for structured ShopperApproved review data.