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Shopsy Reviews Scraper: Extract Product Reviews & Ratings Effortlessly

What Is Shopsy.in?

Shopsy.in is an Indian e-commerce platform featuring a wide range of products including cosmetics, fashion, electronics, and more. Each product listing includes a dedicated reviews section where customers share detailed feedback, ratings, and experiences. Manually collecting and analyzing hundreds of reviews is labor-intensive — the Shopsy Reviews Scraper automates this process, delivering structured review data ready for analysis.

Overview

The Shopsy Reviews Scraper extracts comprehensive product review data from Shopsy.in pages, transforming unstructured customer feedback into clean, structured datasets. It is designed for:

• E-commerce analysts monitoring product sentiment and ratings trends
• Market researchers conducting competitive product analysis
• Quality assurance teams tracking customer feedback patterns
• Data scientists building sentiment analysis and NLP models
• Brands tracking competitor product perception

The scraper handles multiple reviews per URL, supports error resilience via ignore_url_failures, and configurable collection limits to match your research scope and budget.

Input Format

The scraper accepts a JSON configuration object with three main parameters:

{
"urls":[
"https://www.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick&page=3"
],
"ignore_url_failures":true,
"max_items_per_url":200
}

Tip: Use complete review page URLs including pagination parameters. Each URL typically contains 15–30 reviews per page; adjust max_items_per_url accordingly.

Output Format

Example output record:

{
"author":"Ruchi Verma",
"certified_buyer":true,
"created":"6 months ago",
"downvote":{
"type":"VoteValue",
"count":21,
"is_selected":false
},
"review_property_map":{
"v_e_r_i_f_i_e_d__p_u_r_c_h_a_s_e":true
},
"review_type_display_text":null,
"text":"Very nice product 😀 \nI am very happy with this product 🙂",
"title":"Excellent",
"total_count":64,
"upvote":{
"type":"VoteValue",
"count":43,
"is_selected":false
},
"url":"/reviews/XLPHE92VVRNRSJFZ:2?reviewId=ce2be012-0934-4237-9178-cba7ecf1fe11",
"user_badge":null,
"from_url":"https://www.shopsy.in/onfroi-lipstick-combo-pack-8-liquid-matte-long-lasting-smudge-proof/product-reviews/itmab6007e15a0be?pid=XLPHE92VVRNRSJFZ&lid=LSTXLPHE92VVRNRSJFZLVB69H&mid=FLIPKART&cat=ShopsyMakeupFragrances&vert=ShopsyLipstick"
}

Each scraped review returns a structured record with 12+ fields:

Review Content & Author Information

Rating & Engagement

Review Metadata

How to Use

1. Locate review URLs — Navigate to a Shopsy product page and scroll to the "Customer Reviews" section. Click on a review page or filter; copy the full URL from your browser.
2. Prepare configuration — Paste URLs into the urls array. Set max_items_per_url based on how many reviews you need (20 for quick tests, 100–200 for comprehensive analysis).
3. Handle errors — Enable ignore_url_failures: true for bulk runs. This ensures the scraper continues if one URL fails due to network or structure changes.
4. Run the scraper — Submit the configuration and monitor the execution log for status updates.
5. Process results — Export as JSON, CSV, or Excel. Clean and standardize the Created dates and Review Property Map for downstream analysis.

Common best practices:

• Test with 1–2 URLs first to verify output structure.
• Use max_items_per_url: 50–100 to balance completeness and speed.
• Reviews from "Certified Buyer" accounts typically carry more weight in sentiment analysis.

Use Cases & Business Value

• Sentiment analysis: Train models to classify positive/negative reviews at scale
• Competitor benchmarking: Compare product ratings and customer feedback across competitors
• Quality insights: Identify common product issues or praised features from customer feedback
• Marketing research: Understand customer pain points and messaging opportunities
• Reputation monitoring: Track brand perception changes over time

By automating review collection, you save days of manual work and unlock insights that guide product development, marketing strategy, and customer service improvements.

Conclusion

The Shopsy Reviews Scraper is an essential tool for anyone serious about e-commerce intelligence. Whether you're conducting market research, analyzing sentiment, or tracking competitor products, this scraper delivers structured review data in minutes. Leverage customer feedback to make data-driven business decisions and stay ahead in the competitive Indian e-commerce landscape.