Flipkart Scraper + AI Product Quality & Authenticity Analysis

Scrape Flipkart products with AI-powered quality analysis. Detect knockoffs, score value for money, and get product recommendations — all from India's largest e-commerce platform (400M+ users).

Who Is This For?

• Resellers & arbitrage hunters — Find quality products at good prices with AI authenticity scoring
• Market researchers — Track pricing, reviews, and brand share across Indian e-commerce
• Buyers — Verify if a "deal" is genuine or a knockoff before you buy
• Brands & manufacturers — Monitor how your products (and competitors') are priced and reviewed on Flipkart
• Dropshippers & e-commerce ops — Source products with authenticity checks baked in

Features

• Full product data — name, brand, price (INR + USD), ratings, highlights, specifications
• Reviews — full text with ratings and reviewer details
• 3 modes — search, category, product URLs
• Auto currency conversion — INR ↔ USD
• AI Quality Analysis — quality score, value for money, authenticity risk (fake product detection)
• AI Market Report — best value picks, brand insights, pricing trends
• CSV-friendly output — ready for Excel, Google Sheets, or your CRM

Use Cases

1. Check If a Product Is Genuine (Fake Detection)

{
    "scrape_type": "product",
    "product_urls": ["https://www.flipkart.com/..."],
    "get_reviews": true,
    "max_reviews_per_product": 10,
    "ai_analysis": true
}

AI output:

{
    "ai_quality_score": 65,
    "ai_value_for_money": "fair",
    "ai_authenticity_risk": "high",
    "ai_verdict": "Multiple reviews mention receiving different product than pictured. Branding inconsistencies in photos. Likely knockoff.",
    "ai_pros": [
        "Low price point",
        "Fast shipping in most reviews"
    ],
    "ai_cons": [
        "6 of 10 reviews flag fake/knockoff concerns",
        "Seller has no verified purchase badge",
        "Title uses generic brand name, not manufacturer's"
    ]
}

2. Compare Products in a Category

{
    "scrape_type": "search",
    "search": "wireless earbuds under 2000",
    "max_products": 50,
    "get_reviews": true,
    "ai_analysis": true,
    "ai_market_report": true
}

Returns 50 earbuds under ₹2000 with per-product AI quality scores plus a market-wide AI report identifying best-value picks.

3. Monitor Competitor Pricing

{
    "scrape_type": "category",
    "category_url": "https://www.flipkart.com/laptops/...",
    "sort_by": "price_asc",
    "max_products": 100,
    "ai_market_report": true
}

Track how 100 laptops in a category are priced, rated, and discounted.

4. Brand Monitoring

{
    "scrape_type": "search",
    "search": "Xiaomi smartphone",
    "max_products": 30,
    "get_reviews": true,
    "ai_analysis": true
}

Get all Xiaomi phones with review sentiment and authenticity scores — spot knockoffs sold under the brand name.

5. Simple Product Lookup (no AI)

{
    "scrape_type": "product",
    "product_urls": [
        "https://www.flipkart.com/apple-iphone-15/p/itm6ac6485515ae4"
    ],
    "get_reviews": false
}

Fast price + spec check without review scraping or AI cost.

AI Quality Analysis

When ai_analysis is enabled, every product is analyzed by Claude (via OpenRouter) and enriched with:

Field	Description
ai_quality_score	Overall quality 0-100
ai_value_for_money	poor / fair / good / excellent
ai_authenticity_risk	low / medium / high — likely genuine or knockoff
ai_verdict	2-3 sentence explanation
ai_pros	Up to 3 product strengths
ai_cons	Up to 3 red flags

AI works best when get_reviews is enabled — review signals improve authenticity detection.

AI Market Report

When ai_market_report is enabled, the full dataset is analyzed once and you get a market-wide summary pushed to the dataset + saved as AI_MARKET_ANALYSIS in the Key-Value Store:

• Market summary — pricing landscape, brand dominance, category health
• Best value picks — specific products with strong quality-to-price ratio
• Pricing trends — median, outliers, discount patterns
• Brand insights — which brands dominate quality vs price

Pricing

Event	Price
Product scraped	$15.00 / 1,000
Review scraped	$1.00 / 1,000
AI Quality Analysis	$4.00 / 1,000
AI Market Report	$1.00 / 1,000 analyzed
Platform usage	Free

Typical Run Costs

Use Case	Products	Reviews	AI	Total
Quick price check (20 products)	$0.30	—	—	$0.30
Category browse (50 products + 5 reviews each)	$0.75	$0.25	—	$1.00
Authenticity audit (20 products + reviews + AI)	$0.30	$0.20	$0.10	$0.60
Market analysis (100 products + AI report)	$1.50	—	$0.10	$1.60
Full pipeline (100 products + reviews + AI + report)	$1.50	$0.50	$0.50	$2.50

Output Fields

Each product in the dataset includes:

Field	Description
name	Product title
brand	Brand name
product_link	Direct product URL
description	Product description
highlights	Array of key features
price.price_inr	Price in Indian Rupees
price.price_usd	Auto-converted USD price
price.old_price_inr	Original MRP before discount
price.discount	Discount percentage
rating_info.rating	Average rating (0-5)
rating_info.rating_count	Total ratings
rating_info.review_count	Total reviews
rating_info.rating_distribution	Count per star (1-5)
images	Array of product image URLs
number_of_reviews	Reviews scraped
reviews	Array of review objects (title, text, rating, reviewer, date, verified)
ai_quality_score	AI quality score (if enabled)
ai_value_for_money	AI value rating
ai_authenticity_risk	AI fake detection
ai_verdict	AI reasoning
ai_pros / ai_cons	AI pros / cons lists

Tips

• Use a residential India proxy — Flipkart strongly prefers India IPs. Without one, you'll hit anti-bot blocks
• Start small — Test with max_products: 20 and a known product URL to verify data quality
• Enable reviews for AI — Authenticity detection depends on review signals; without reviews, AI has less to work with
• Don't max out review count — 5-10 reviews is the sweet spot. Above that adds cost without improving AI accuracy
• Combine AI + market report — Per-product AI tells you if this item is genuine; market report tells you which brands/categories to target

Keywords

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