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⭐ Fril-Reviews · Apify Actor

Extract seller review data from Fril (ラクマ / fril.jp) shop review pages into clean, structured JSON — ideal for seller reputation analysis, marketplace research, and automation workflows. Built and maintained by DataWizards.

📌 What Is Fril-Reviews?

The Fril-Reviews Apify Actor allows you to scrape public review data from Fril seller shop pages using direct review URLs.

With a simple input, this actor extracts reviewer names, profile images, review dates, titles, and review text — even when the review body is empty — and delivers consistent, validation-safe JSON output.

No login required. No manual browsing.

Perfect for developers, analysts, and e-commerce intelligence teams working with the Japanese resale market.

🧠 Key Features

• ✅ Structured Review Data in JSON
• ✅ Extracts reviewer name, profile image, date, title, and text
• ✅ Handles null / empty review text safely
• ✅ Supports multiple Fril shop review URLs
• ✅ Apify Proxy support (including RESIDENTIAL IPs)
• ✅ Lightweight, fast, and automation-ready

🛠️ Input Schema

Provide one or more Fril shop review URLs along with proxy settings.

{
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
},
"ListingUrls":[
"https://fril.jp/shop/ryonouen/review"
]
}

🔐 Proxy Configuration

• useApifyProxy: Must be set to true

• apifyProxyGroups:

  • "RESIDENTIAL" — recommended for stability and reduced blocking

📤 Output Example

[
{
"URL ":"https://fril.jp/shop/ryonouen/review",
"User Name ":"ホロスコープ",
"User Profile Pic URL ":"https://asset.fril.jp/assets/new_web/icon_user-9e49e957def667b1abdaae57b9e81d66c31b27f8559d80e2eb682cfbb24e18cd.png",
"Review Date ":"2026/01/14",
"Review Title ":"よい出品者です",
"Review Text ":null
}
]

🚀 Use Cases

• ⭐ Seller Reputation Tracking – Monitor Fril seller feedback
• 📊 Marketplace Analytics – Aggregate review sentiment over time
• 🧠 Trust & Safety Tools – Flag low-quality or suspicious sellers
• 🤖 Automation Pipelines – Feed review data into dashboards or APIs
• 🌏 Japanese Market Research – Analyze resale behavior on Fril

✅ Best Practices

• Use Residential proxies for consistent access
• Always validate input URLs before running the actor
• Expect null values for review text (many Fril reviews are title-only)
• Batch URLs to reduce execution overhead
• Avoid excessive re-scraping of the same shop pages

🔄 Customization & Changes

Need additional fields like:

• Review rating (if added later)
• Pagination handling
• Flattened or simplified output
• Custom language normalization

💡 DataWizards are always ready for you. We actively support enhancements and custom logic based on your needs.

🤝 Support & Custom Requests

For custom outputs, simplified schemas, integration help, or bug reports, contact us:

📩 Email: hello.datawizard@gmail.com ✉️ Email Subject:

Fril-Reviews Actor – Support Request

🔗 LinkedIn: https://linkedin.com/in/data-wizards-aa8080342

🧰 Need Something More?

Whether you’re:

• Building a custom Fril scraper
• Integrating reviews into your system
• Simplifying JSON for downstream tools
• Monitoring multiple sellers at scale

✨ DataWizards have your back.

🐞 Feedback & Bug Reports

Found an issue or want a feature?

📧 Email: hello.datawizard@gmail.com ✉️ Subject:

Bug Report – Fril-Reviews Actor

Or report directly via the Apify platform.

🔍 SEO Keywords

Fril reviews scraper, ラクマ レビュー スクレイピング, Fril seller reviews, Apify Fril scraper, Japanese marketplace reviews, seller reputation data, structured review JSON, Fril shop analytics

🏁 Start extracting Fril seller reviews effortlessly with Fril-Reviews — clean data, zero hassle.