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Flipkart Price Tracker

Try for free

Scrapes Flipkart search results and returns structured product price data for competitor price tracking.

Pricing

from $0.10 / actor start

Rating

5.0

(1)

Developer

Subhash Chaudhary

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Flipkart Price Tracker

Scrape Flipkart search results and track competitor prices at scale. Returns structured product data — name, price, rating, review count, URL, and stock status — for any search keyword across multiple pages.

Features

Scrapes up to 50 pages of Flipkart search results per run
Extracts price (as a clean number, ₹ and commas removed), rating, review count, and stock status
Random delays and User-Agent rotation to avoid blocks
Works with Apify Proxy (residential IN proxies recommended)
Runs locally and on the Apify platform without any code changes

Input

Field	Type	Required	Default	Description
`keyword`	string	✅	—	Product search term (e.g. `iphone 13`, `samsung tv 55 inch`)
`maxPages`	integer	❌	`3`	Number of search result pages to scrape (1–50). Each page returns ~24 products.

Example input:

{
  "keyword": "iphone 13",
  "maxPages": 5
}

Output

Each scraped product is pushed as a JSON object to the default dataset.

Field	Type	Description
`name`	string	Full product name
`price`	integer	Current price in ₹ (e.g. `49900`)
`rating`	number	Average rating out of 5 (e.g. `4.6`)
`reviews`	integer	Total number of customer ratings
`url`	string	Full Flipkart product page URL
`in_stock`	boolean	Whether the product is available to buy
`scraped_at`	string	ISO 8601 timestamp of when the record was scraped

Example output:

{
  "name": "Apple iPhone 13 (Starlight, 128 GB)",
  "price": 49900,
  "rating": 4.6,
  "reviews": 266971,
  "url": "https://www.flipkart.com/apple-iphone-13-starlight-128-gb/p/itmc9604f122ae7f",
  "in_stock": true,
  "scraped_at": "2026-05-05T17:00:00.000Z"
}

Usage

On Apify platform

Click Try for free on the Actor page
Enter your keyword and optionally set maxPages
Click Start and wait for the run to finish
Download results as JSON, CSV, or Excel from the Dataset tab

Running locally

# Install dependencies
npm install

# Set up input
mkdir -p storage/key_value_stores/default
echo '{"keyword":"samsung galaxy s24","maxPages":2}' > storage/key_value_stores/default/INPUT.json

# Run
npm start

# Results are saved to storage/datasets/default/

Proxy

On the Apify platform the Actor automatically uses residential (IN) proxies for the best success rate with Flipkart. Locally it runs without a proxy (suitable for testing).

To use Apify Proxy locally, set your token:

export APIFY_TOKEN=your_token_here
npm start

Notes

Flipkart periodically rotates CSS class names. The scraper uses multiple fallback selectors per field to stay resilient, but may need a selector update after a major Flipkart redesign.
Some items show "in_stock": false when they are listed as "Coming Soon" — this is accurate per the Flipkart listing.
For large runs (many pages or keywords), use the Apify Scheduler to run on a recurring basis.

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