🇯🇵 Amazon Review Translator (Lingo.dev x Apify)

Automated cross-border e-commerce intelligence.

💡 What is this?

This Apify Actor automates the extraction and cultural localization of Amazon Japan product reviews. It goes beyond simple translation by using Lingo.dev's Context-Aware Engine to detect commercial nuances—helping international sellers understand Japanese consumer sentiment regarding packaging, size, and politeness.

🚀 Features

• Scrape Reviews: Fetches real-time reviews from Amazon Japan (via Junglee Scraper).
• Context-Aware Translation: Translates with specific instructions to highlight cultural insights.
• Structured Output: Delivers results as actionable data in Apify Datasets (Excel/JSON/CSV).
• Automated Workflow: Fully autonomous pipeline deployed on Apify's serverless infrastructure.

🛠️ How it works

graph LR
    A[Amazon JP Product] -->|Scrape| B(Apify Actor)
    B -->|Raw Text| C{Lingo.dev Engine}
    C -->|Localized Insight| D[Apify Dataset]
    D -->|Export| E[Business Intelligence]

🏃 Usage

1. Deploy: Push this code to the Apify Console.
2. Configure Environment Variables:
   • APIFY_TOKEN: Your Apify API Token.
   • LINGO_API_KEY: Your Lingo.dev API Key.
3. Input: Set the productUrls in the input configuration (e.g., Kindle Paperwhite).
4. Run: Start the actor and view the Output tab for the results table.

📦 Project Structure

• src/main.py: Core logic for scraping and translation.
• .actor/: Apify configuration schemas.
• Dockerfile: Build definition for the actor.

Built with ❤️ by [Adarsh Mishra].