Snapdeal Scraper - India Marketplace Products

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Search Snapdeal listings — Indian value-marketplace products with title, price, discount, rating, and URLs.

What you get

Search Snapdeal listings — Indian value-marketplace products with title, price, discount, rating, and URLs.

Why use this Snapdeal scraper

• Product card fields — name, price, MRP, discount, rating stars, and canonical product URL.
• Value-marketplace niche — budget-tier Indian ecommerce data.

Scrape Snapdeal data in minutes

{
  "queries": [
    "tshirt"
  ],
  "maxResults": 10
}

{
  "queries": [
    "headphones"
  ],
  "maxResults": 10
}

Input parameters

Parameter	Required	Description
queries	No	Search terms (e.g. "laptop bag", "saree"). Optional if you set a Category — leave empty to browse a category instead of searching. Default: [].
category	No	Top-level Snapdeal category to browse or search within. Leave as 'All' to search everything. Combine with Subcategory Slug for deeper paths. One of: all, men-apparel, women-apparel, mens-footwear, womens-footwear, mobiles, electronics, home-and-kitchen, kitchen-appliances, books, sports-fitness, kids, bags-luggage, beauty-personal-care, automotive, toys, jewellery. Default: all.
subcategorySlug	No	Optional deeper path. Appended as additional keyword text (e.g. 'running shoes' under Men's Footwear).
sortBy	No	How to order results. Defaults to popularity (Snapdeal's 'plrty'). One of: relevance, popularity, priceAsc, priceDesc, newest, rating, discount. Default: relevance.
minPrice	No	Minimum price in INR. Leave empty for no lower bound.
maxPrice	No	Maximum price in INR. Leave empty for no upper bound.
maxResults	No	Maximum products to scrape per query. Default: 10.
proxyConfiguration	No	Proxy settings. Defaults to an India-based connection, since Snapdeal rate-limits requests from outside India at scale.

Output fields

• sku
• product_id
• product_name
• brand
• price
• original_price
• discount_percent
• currency
• rating
• rating_count
• image_url
• url
• category
• in_stock
• source_query

Example result

{
  "sku": "622878547959",
  "product_id": "622878547959",
  "product_name": "OMRON BAGS 30 Ltrs Black Laptop Bags",
  "brand": "OMRON",
  "price": 599,
  "original_price": 2499,
  "discount_percent": 76,
  "currency": "INR",
  "rating": 4.2,
  "rating_count": 33,
  "image_url": "https://g.sdlcdn.com/imgs/k/2/s/OMRON-BAGS-30-Ltrs-Black-SDL354907211-1-28355.jpg",
  "url": "https://www.snapdeal.com/product/omron-bags-25-ltrs-black/622878547959",
  "category": "",
  "in_stock": null,
  "source_query": "laptop bag"
}

Common use cases

• Track budget-marketplace pricing
• Monitor category assortment
• Build Indian ecommerce datasets
• Compare tier pricing vs Flipkart/Amazon

Compared to alternatives

• vs other Snapdeal scrapers on the Store — pay-per-result billing means empty or failed searches cost nothing; you are not charged for a run that returns zero rows.
• vs building your own — no proxy management, markup-change maintenance, or infrastructure to run; paste inputs and consume the dataset.

Limitations

• Card fields are summaries; variants live on product pages.
• Seller identity is not part of public card data.
• Listing prices exclude coupon-level discounts.

FAQ

Do I need an account or cookies?

No — the Actor reads public data only. There is no login to configure and no account to risk.

What happens when a search returns nothing?

The run completes with zero (or an explicit error) rows. Per-result billing means you are not charged for empty output.

Can I run it on a schedule?

Yes — attach an Apify schedule or use the saved tasks to re-run the same inputs daily or weekly.

Related guides and Actors

• Extract Snapdeal Product At Scale
• Find Snapdeal Bestsellers By Category
• Monitor Snapdeal Vs Flipkart India Pricing
• AJIO Scraper
• Flipkart Scraper
• Myntra Scraper

Last verified: 2026-09

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