Flipkart Product Scraper

Extract Flipkart product listings at scale with reliable, structured output. Collect pricing, ratings, availability, and product metadata for research, monitoring, and analytics. Built for fast collection, strict result targeting, and resilient reruns when Flipkart shifts request behavior.

Features

• Fast collection mode - Prioritizes speed by extracting directly from listing pages.
• Strict target pagination - Continues pagination to reach your requested results_wanted count when products are available.
• Rich structured output - Returns normalized numeric/text fields ready for analysis.
• Self-healing request strategy - Tries multiple safe request profiles and normalized listing URLs before failing.
• Failure diagnostics - Stores a structured diagnostic report when a page blocks or stops exposing listing products.

Use Cases

Price Monitoring

Track selling price, original price, and discount changes across categories. Use repeated runs to monitor promotions and pricing trends.

Catalog Intelligence

Build product datasets with IDs, listings, brand/category metadata, and key specs. Useful for product benchmarking and catalog enrichment.

Seller and Availability Tracking

Capture listing availability and buyability indicators. Helpful for operational market monitoring.

Competitive Analysis

Compare rating volume and review volume across similar products. Identify fast-moving and high-engagement listings.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Flipkart monitors listing URL	Flipkart category or search URL to scrape.
results_wanted	Integer	No	20	Maximum number of products to return.
proxyConfiguration	Object	No	Apify proxy preset	Proxy settings for reliability at scale.

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Output Data

Each dataset item may contain:

Field	Type	Description
id	String|Null	Product identifier.
item_id	String|Null	Item identifier if available.
listing_id	String|Null	Listing identifier.
title	String|Null	Product title.
brand	String|Null	Product brand.
category	String|Null	Category/vertical label.
price	Number|Null	Current price.
price_text	String|Null	Current price as formatted text.
original_price	Number|Null	Original/MRP price.
original_price_text	String|Null	Original/MRP as formatted text.
discount_percent	Number|Null	Discount percentage.
discount_amount	Number|Null	Discount amount.
discount_text	String|Null	Discount text label.
rating	Number|Null	Average rating.
rating_count	Number|Null	Total rating count.
review_count	Number|Null	Total review count.
rating_breakdown	Object|Null	Count per rating bucket (1-5).
specifications	Object|Null	Structured specification key-values.
key_specs	String[]|Null	Key specification bullets.
warranty_summary	String|Null	Warranty summary text.
availability_status	String|Null	Availability state.
is_available	Boolean|Null	Availability flag.
buyability_intent	String|Null	Buyability intent exposed by the listing state.
is_flipkart_advantage	Boolean|Null	Flipkart advantage style flag when present.
swatch_available	Boolean|Null	Indicates whether listing swatches are available.
currency	String|Null	Currency code.
analytics_category	String|Null	Analytics category label from Flipkart state.
analytics_sub_category	String|Null	Analytics sub-category label from Flipkart state.
market_place	String|Null	Marketplace label.
image_url	String|Null	Product image URL.
url	String|Null	Product URL.
fetched_at	String	Extraction timestamp in ISO format.

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Usage Examples

Fast Extraction (Recommended)

Use default fast mode for maximum speed.

{
  "startUrl": "https://www.flipkart.com/computers/computer-components/monitors/pr?sid=6bo,g0i,9no&marketplace=FLIPKART",
  "results_wanted": 100
}

High-Volume Collection with Proxies

{
  "startUrl": "https://www.flipkart.com/mobiles/pr?sid=tyy,4io&marketplace=FLIPKART",
  "results_wanted": 300,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "id": "MONH3H7XYMMSJBCB",
  "listing_id": "LSTMONH3H7XYMMSJBCBCQNQPE",
  "title": "Frontech Ultima Series 55.88 cm (22 inch) Full HD LED Backlit VA Panel Monitor",
  "brand": "Frontech",
  "category": "monitor",
  "price": 5772,
  "original_price": 19500,
  "discount_percent": 70,
  "discount_amount": 13728,
  "rating": 4.1,
  "rating_count": 1388,
  "review_count": 130,
  "rating_breakdown": {
    "1": 141,
    "2": 63,
    "3": 113,
    "4": 241,
    "5": 830
  },
  "availability_status": "IN_STOCK",
  "is_available": true,
  "buyability_intent": "POSITIVE",
  "is_flipkart_advantage": true,
  "swatch_available": false,
  "currency": "INR",
  "analytics_category": "ComputerComponents",
  "analytics_sub_category": "Monitors",
  "image_url": "https://rukmini1.flixcart.com/image/1500/1500/xif0q/monitor/l/v/a/mon-0079c-full-hd-22-2024-mon-0079c-frontech-original-imahkm4mftzgg96g.jpeg?q=70",
  "url": "https://www.flipkart.com/...",
  "fetched_at": "2026-02-13T06:57:02.015Z"
}

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Tips for Best Results

Prioritize Fast Mode

• Use the default settings for the fastest runs.
• Increase results_wanted gradually to estimate runtime for your category.

Use Stable Listing URLs

• Prefer category and search URLs that show normal product listings.
• Validate that the URL opens product cards in your browser before running.

Scale Safely

• Use residential proxies for larger runs and stricter categories.
• Keep request volume realistic for the target category depth.

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Integrations

Connect your extracted dataset with:

• Google Sheets - Build live tracking sheets.
• Airtable - Create searchable product databases.
• Make - Automate downstream workflows.
• Zapier - Trigger actions in business tools.
• Webhooks - Push data into your own systems.

Export Formats

• JSON - Best for APIs and developers.
• CSV - Best for spreadsheets and BI tools.
• Excel - Best for operational reporting.
• HTML - Quick human-readable preview.

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Frequently Asked Questions

Does it paginate until my requested count?

Yes. The actor paginates listing pages to reach results_wanted when enough products are available.

Which mode is fastest?

The actor runs in an optimized fast mode by default and is recommended for bulk extraction.

Can available fields vary by category?

Yes. Some fields depend on what each listing exposes, so certain attributes may be null in some categories.

Why are some fields null?

Some products or listings do not expose every field consistently. Null values are expected in such cases.

What happens if Flipkart changes request behavior?

The actor retries with alternative request fingerprints and stores structured diagnostics if a page blocks or stops returning listing products.

Can I scrape search URLs and category URLs?

Yes. Both are supported as long as they return product listing pages.

How many products can I collect?

You can request large volumes; practical limits depend on page availability, category depth, and runtime constraints.

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Support

For issues or feature requests, use the actor issue tracker in Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for legitimate data collection and analysis use cases. You are responsible for complying with applicable laws, platform terms, and responsible usage practices.