Flipkart Listings Scraper

🛒 Flipkart Listings Scraper

Easily extract product data from Flipkart, India's largest e-commerce marketplace. The Flipkart Listings Scraper turns search queries, category pages, or direct product URLs into clean structured JSON — prices, ratings, key specs, images, availability, warranty, and more.

✨ Features

• 🏷️ Rich Product Data: title, current price, MRP, discount %, ratings, rating count, full 1★–5★ histogram, key specs, category, availability, warranty, and Flipkart Assured tag.
• 🔍 Three Input Modes: search queries, category/browse URLs, or direct product URLs — mix and match in a single run.
• 📄 Optional Detail Enrichment: toggle includeDetails to visit each product page and add brand, full description, sample reviews, full image gallery, and the complete spec table.
• 🖼️ Resolved Image URLs: Flipkart's templated CDN URLs ({@width}/{@height}/{@quality}) are auto-resolved to ready-to-use 832×832 JPEGs.
• ⚡ Fast & Cheap: pure HTTP scraping (no headless browser) — ~24 products per request, ~3 minutes for 2,000 products.
• 🔁 Pagination Built In: follows <link rel="next"> automatically until maxItemsPerInput is reached.
• 🧹 Auto-Dedup: sponsored placements that duplicate organic results are removed by productId before they hit the dataset.

🛠️ How It Works

1. Provide your inputs — any combination of search terms, category URLs, or product URLs.
2. Pick your detail level — leave includeDetails off for fast, listing-grade data, or turn it on for the full product page payload.
3. Run the Actor — pagination, deduplication, and image-URL resolution are handled automatically.
4. Download the dataset in JSON, CSV, Excel, HTML, XML, or RSS.

⚙️ Input

The Actor accepts the following input fields. At least one of searchQueries, categoryUrls, or productUrls must be set.

Field	Type	Default	Description
searchQueries	string[]	[]	Plain-text search terms. Each becomes https://www.flipkart.com/search?q=.... Example: ["laptop", "iphone 15"].
categoryUrls	string[]	[]	Flipkart category or browse URLs (e.g., https://www.flipkart.com/mobiles/pr?sid=tyy,4io).
productUrls	string[]	[]	Direct product URLs (https://www.flipkart.com/.../p/itm...) — extract single products without crawling listings. Always returns full details.
maxItemsPerInput	integer	50	Cap per query / category URL. Set 0 for unlimited.
includeDetails	boolean	false	Visit each product page to add brand, full description, sample reviews, full image gallery, and detailed specifications.
proxyConfiguration	object	Apify Proxy	Proxy settings. Datacenter is sufficient for moderate volume; residential recommended above ~5k products per run.

Example input:

{
    "searchQueries": ["laptop", "iphone 15"],
    "categoryUrls": ["https://www.flipkart.com/mobiles/pr?sid=tyy,4io"],
    "productUrls": [],
    "maxItemsPerInput": 100,
    "includeDetails": false,
    "proxyConfiguration": { "useApifyProxy": true }
}

📊 Sample Output Data

Each scraped product is saved as a JSON object in the dataset. Example (listing-only, includeDetails: false):

[
    {
        "productId": "COMHDMJYDGBTMJXG",
        "listingId": "LSTCOMHDMJYDGBTMJXG112MJM",
        "title": "Lenovo IdeaPad Slim 3 Next Gen AI PC Snapdragon X",
        "subtitle": "15.3 Inch, Luna Grey, 1.55 Kg, With MS Office",
        "url": "https://www.flipkart.com/lenovo-ideapad-slim-3/p/itmd6d920cf123c3?pid=COMHDMJYDGBTMJXG",
        "price": 59999,
        "mrp": 88390,
        "discountPercent": 32,
        "currency": "INR",
        "rating": 4.3,
        "ratingCount": 891,
        "reviewCount": 85,
        "ratingHistogram": { "1": 51, "2": 27, "3": 44, "4": 233, "5": 536 },
        "keySpecs": [
            "Snapdragon X Processor",
            "16 GB LPDDR5X RAM",
            "Windows 11 Home Operating System",
            "512 GB SSD",
            "38.86 cm (15.3 Inch) Display",
            "Office Home 2024"
        ],
        "images": [
            "https://rukmini1.flixcart.com/image/832/832/xif0q/computer/d/z/z/-original-imahgfdfx3hhguyc.jpeg?q=70"
        ],
        "category": "Laptops",
        "subCategory": "Laptop",
        "availability": "IN_STOCK",
        "isFlipkartAssured": true,
        "isSponsored": false,
        "warranty": "1 Year Onsite Warranty",
        "sourceQuery": "laptop",
        "scrapedAt": "2026-05-10T12:00:00.000Z"
    }
]

When includeDetails: true, each record additionally includes sku, brand, color, description, fullImages (high-resolution gallery), sampleReviews (top 3), specifications (grouped by section, e.g., "General", "Display Features"), and highlights.

💰 Pricing

This Actor uses Apify's Pay-Per-Event model. You only pay for products that actually land in your dataset — failed pages and retries are free.

Event	When it's charged	Price per event	Price per 1,000 products
product-listing	Each product extracted from a listing page (includeDetails: false)	$0.001	$1.00
item-detail	Each product enriched with full PDP details (includeDetails: true or any direct productUrls input)	$0.004	$4.00

How to estimate your run cost:

• 1,000 listing-only products → $1.00
• 1,000 enriched products → $4.00
• 500 listings + 500 enriched (mixed run) → $0.50 + $2.00 = $2.50

item-detail is priced higher because it requires one extra HTTP request per product to fetch the full product page, plus the richer payload (description, sample reviews, full spec table, full image gallery). For most price-monitoring and catalog use cases, product-listing already returns 16+ fields per product and is the better value.

Optimize your e-commerce monitoring, price tracking, and competitive research with Flipkart Listings Scraper today! 🚀