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Fril Reviews Script

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Fril Reviews Script

Fril Reviews Script

Extract seller review data from Fril shop review pages into clean, structured JSON. Capture reviewer names, profile images, review dates, titles, and text with proxy support. Ideal for reputation tracking, marketplace analytics, automation, and Japanese resale market research.

Pricing

from $4.00 / 1,000 results

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datawizards

datawizards

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4 days ago

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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.