Flipkart Product Scraper

Flipkart Product Scraper collects product listings from Flipkart and turns them into structured data for price monitoring, competitor research, and catalog building. Provide a search query, a category, or Flipkart URLs, run the Actor, and export name, brand, price, MRP, discount, rating, and review counts to JSON, CSV, or Excel. Optionally enrich each product with full details and customer reviews. Use it for repricing, deal tracking, and market intelligence. Pricing starts at $0.002 per product, with details and reviews billed as separate pay-per-event charges.

What can you automate with Flipkart Product Scraper?

• Build product datasets on demand — turn any search term, category, or Flipkart URL into structured records without writing code.
• Monitor prices and discounts — track price, mrp, and discountPercent over time to catch repricing opportunities and seasonal deals.
• Track ratings and reviews — collect aggregate ratings and full customer reviews to understand reputation and quality.
• Enrich listings with full details — pull descriptions, highlights, specs, offers, and star-rating breakdowns for every product.
• Feed your pipeline — export results as JSON, CSV, or Excel, or stream them into your app through the Apify API.
• Schedule recurring collection — keep prices and offers fresh automatically without touching a server.

Who is this scraper for?

Team	Workflow
E-commerce operators	Benchmark your catalog against Flipkart pricing, brands, and discount strategies.
Market researchers	Study category demand, pricing, and rating patterns across popular Flipkart sections.
Pricing and repricing teams	Track competitor prices and active offers to adjust your own prices.
Brand and product analysts	Read customer reviews to understand what shoppers praise and fault.

What data can you collect from Flipkart?

Data group	Example fields	How it helps
Product identity	name, brand, subtitle, imageUrl, url, productId	Identify and link each product to its Flipkart page.
Commercial signals	price, mrp, discountPercent, currency, inStock	Spot deals, markdowns, and stock status in INR.
Popularity and trust	rating, ratingCount, reviewCount	Prioritize well-reviewed, high-demand products.
Catalog structure	category, subCategory, sourceType, sourceQuery	Group results by section and trace them to the input.
Full details (optional)	description, highlights, features, offers, keySpecs, imageUrls, ratingBreakdown	Enrich each product with specs, offers, and star distribution.
Customer reviews (optional)	reviews[] with rating, text, author, and verified-buyer status	Analyze sentiment and buyer feedback per product.

How to use Flipkart Product Scraper

1. Open the Actor on the Apify Store.
2. Enter a search query (for example samsung tv), a category, or Flipkart URLs.
3. Set maxItems to cap the number of products, and toggle details or reviews if you need them.
4. Run the Actor and watch results stream into the dataset.
5. Export to JSON, CSV, or Excel, or connect the dataset to your downstream tools.

{
  "searchQueries": ["samsung tv"],
  "maxItems": 100,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviews": 10
}

Example workflow

Build a weekly list of discounted, highly rated products

1. Run a category or search query each week for the products you monitor.
2. Keep records where discountPercent and rating meet your thresholds.
3. Send new records to Google Sheets or a CRM.
4. Deduplicate using the stable productId or url.

Filtering and messaging are user-side steps; the Actor returns the raw structured data for you to act on.

Automate and integrate your results

• Schedules — run daily for price monitoring, or hourly during sale events such as Flipkart's Big Billion Days.
• Webhooks — trigger a downstream pipeline the moment a run completes.
• Integrations — push results to Google Sheets, Make, Zapier, Slack, or a CRM, database, or cloud storage.
• API — trigger runs and pull records programmatically for recurring pipelines.

curl "https://api.apify.com/v2/acts/scraptivo/flipkart-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["samsung tv"], "maxItems": 100}'

Input reference

Field	Type	Required	Default	What it controls
startUrls	array	No*	—	Flipkart category, search, or product page URLs.
categories	array	No*	—	One of 15 popular sections: mobiles, laptops, televisions, headphones, mens-shirts, womens-sarees, womens-heels, mens-sports-shoes, watches, refrigerators, washing-machines, air-conditioners, microwave-ovens, books, beauty-and-grooming.
searchQueries	array	No*	—	Search terms such as samsung tv. No URL required.
maxItems	integer	No	0	Maximum products to scrape (0 = unlimited).
includeProductDetails	boolean	No	false	Fetch full details (description, highlights, features, offers, rating breakdown); charges a product-details event.
includeReviews	boolean	No	false	Fetch customer reviews; charges a product-reviews event per review.
maxReviews	integer	No	10	Maximum reviews per product when reviews are enabled (0 = all).
detailConcurrency	integer	No	5	Parallel workers for details and reviews (1–15).
proxyConfiguration	object	No	residential	Proxy settings; Apify residential proxy is enabled by default.

* At least one of startUrls, categories, or searchQueries is required.

Output example

{
  "productId": "SHTGNEFMQYHFHXYG",
  "itemId": "itm8db046dcd06e5",
  "listingId": "LSTSHTGNEFMQYHFHXYGZDDZVV",
  "name": "RED TAPE Men Solid Casual Pink Shirt",
  "brand": "RED TAPE",
  "subtitle": "Men Regular Fit Solid Button Down Collar Casual Shirt",
  "url": "https://www.flipkart.com/red-tape-men-solid-casual-pink-shirt/p/itm8db046dcd06e5?pid=SHTGNEFMQYHFHXYG",
  "imageUrl": "https://rukmini1.flixcart.com/image/400/400/xif0q/shirt/7/h/q/-original-imahq62xmshdbume.jpeg?q=70",
  "price": 776.0,
  "mrp": 4299.0,
  "discountPercent": 81.0,
  "currency": "INR",
  "rating": 4.0,
  "ratingCount": 9236,
  "reviewCount": 531,
  "inStock": true,
  "keySpecs": ["Pack of: 1", "Fabric: Cotton Linen", "Sleeve: Full Sleeve", "Pattern: Solid"],
  "category": "MensTopwear",
  "subCategory": "MensShirt",
  "sourceType": "category",
  "sourceQuery": "clothing and accessories",
  "sourceUrl": "https://www.flipkart.com/clothing-and-accessories/topwear/shirts/pr?sid=clo,ash,axc",
  "description": "Flaunt your Casual Summer Fit with this Peach color Shirt brought to you by RedTape...",
  "highlights": ["Pack of: 1", "Fabric: Cotton Linen", "Sleeve: Full Sleeve"],
  "features": [
    { "title": "Brand", "description": "RED TAPE" },
    { "title": "Fit", "description": "Regular" }
  ],
  "offers": [{ "title": "Buy at ₹623", "type": "BANK_TAB" }],
  "ratingBreakdown": [
    { "stars": 1, "count": 941 },
    { "stars": 5, "count": 4659 }
  ],
  "reviews": [
    {
      "title": "Excellent",
      "text": "Best Quality...",
      "rating": 5,
      "author": "vaibhav nikam",
      "certifiedBuyer": true,
      "location": "Kolhapur, Maharashtra",
      "helpfulCount": 37
    }
  ]
}

How much does it cost to scrape Flipkart?

Flipkart Product Scraper uses pay-per-event pricing — you pay only for what you collect, with no platform usage fees.

• Product scraped — $0.002 per product on the free tier, down to $0.0017 on higher plans.
• Product details — $0.002 per product when you enable includeProductDetails.
• Product reviews — $0.002 per review when you enable includeReviews.
• Actor start — a one-time $0.00005 per run.

A run of 1,000 listings costs about $2.00 on the free tier. Adding full details for all 1,000 products doubles it to roughly $4.00, and collecting 10 reviews per product adds $0.02 per product for the reviews. Apify plan discounts are applied automatically.

Reliability and responsible use

• Proxy — the Actor uses Apify residential proxies by default; Flipkart content is geo-targeted to India, so non-Indian IPs may return fewer results.
• Retries and concurrency — requests are retried automatically, and detailConcurrency (1–15) controls how many detail and review pages load in parallel.
• Conditional fields — details and review fields (description, highlights, features, offers, ratingBreakdown, reviews) appear only when the corresponding options are enabled; keySpecs and other optional fields can be empty when Flipkart does not publish them.
• Public data — the Actor collects publicly visible product data only.
• Your responsibility — use the results lawfully and in line with Flipkart's terms of service.

Frequently asked questions

Can I scrape product reviews from Flipkart?

Yes. Set includeReviews to true and use maxReviews to cap how many reviews are collected per product (default 10, 0 for all). Each review is billed as a separate product-reviews event.

Can I schedule Flipkart Product Scraper to run automatically?

Yes. Create a schedule in the Apify Console, or trigger runs through the Apify API. Price monitoring typically runs daily, while sale tracking can run hourly during events.

What counts as one result?

One product listing is one dataset-item event. Enabling includeProductDetails adds a product-details event for that product, and every collected review adds a product-reviews event.

Why are some fields empty?

Details and review fields are only populated when includeProductDetails and includeReviews are enabled. Even then, fields such as keySpecs, offers, or ratingBreakdown may be empty when Flipkart does not publish that data for a specific product.

How do I avoid duplicate records?

Within a run, the Actor deduplicates products by productId. Across separate runs, deduplicate yourself using the stable productId or url.

Do I need a proxy?

Residential proxies are enabled by default and recommended. Because Flipkart content is geo-targeted to India, using an India-based proxy improves the completeness of results.

Related Scraptivo automations

• Amazon Product Scraper — collect Amazon product listings, prices, and reviews.
• Best Buy Product Scraper — scrape Best Buy products by search, category, or SKU.
• Target Product Scraper — extract Target.com products with optional details and reviews.
• IKEA Product Scraper — collect IKEA listings with optional product details and reviews.
• Costco Product Scraper — scrape Costco.com products, prices, and availability.
• Zalando Product Scraper — extract Zalando listings and product details.

Support and custom workflows

Need a different field, source, or delivery workflow? Contact Scraptivo at scraptivo@gmail.com. Include the Actor name, a sample URL, the required fields, and expected volume so we can assess the request.