I build Apify Actors that turn Japanese web data into clean, structured datasets for market research, product intelligence, e-commerce analysis, and AI workflows.

My focus is Japanese food, beverage, flavor, consumer product, and e-commerce data. Japanese websites contain valuable market signals, but they are often hard to collect, normalize, translate, and analyze at scale.

Instead of only scraping raw text, I design Actors that extract useful fields and convert messy Japanese web content into practical outputs such as JSON, CSV, summaries, classifications, and AI-ready datasets.

• Japanese e-commerce product data
• Food and beverage reviews
• Taste, aroma, texture, aftertaste, and mouthfeel analysis
• Review complaint clustering
• Product positioning and market research
• Japanese-to-English summaries
• Datasets for LLMs, RAG, spreadsheets, and BI tools

My Actors help users answer questions such as:

• What do Japanese consumers like or dislike about a product?
• Which taste, aroma, and texture terms appear often in reviews?
• Are customers complaining about flavor, texture, packaging, price, or usability?
• How are similar products positioned in the Japanese market?

I aim to build Actors with clean outputs, simple schemas, and minimal unnecessary personal data collection. My focus is product, review, market, and public business information that can be reused in analysis, automation, and AI workflows.

• Japanese Food Review Sensory Analyzer
• Japanese E-Commerce Product Extractor
• Product Review Complaint Analyzer
• Taste, Aroma, and Texture Trend Extractor

For custom Japanese web data extraction, food review analysis, or AI-ready dataset creation, feel free to contact me through Apify.