Myntra Scraper and Price Tracker: Prices, Ratings, History

What you can do with it

• Schedule a daily run and see which products dropped in price, and by how much.
• Monitor your own and competitors' prices, discounts, coupons and stock per size.
• Study discount levels, bestsellers and new launches by category or brand.
• Feed a deal site with the biggest discounts and coupon prices.

What you get

Results come as rows in an Apify dataset, which you can export as JSON, CSV or Excel or read over the API. These are the main fields:

Pricing

This Actor is pay per event. Apify plan tiers set the price: the column for your Apify plan is what you pay, and higher plans pay less per result. Prices are per 1,000 events.

Run start fee: $0.05 per 1,000 runs. Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). Prices come from the Apify Store and can change; the Actor's Apify page always shows the current ones. Platform usage is billed through your Apify account.

Run it from code

Create an API token in Apify Console (Settings, API and Integrations) and replace YOUR_APIFY_TOKEN. This call starts a run with a small input and returns the rows when it finishes. Synchronous calls suit small inputs; for big jobs, start a run and read the dataset later.

curl

curl -X POST "https://api.apify.com/v2/acts/apisamurai~myntra-scraper-price-tracker/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchTerms": [
    "levis jeans"
  ],
  "maxItemsPerSearch": 20
}'

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "searchTerms": ["levis jeans"],
    "maxItemsPerSearch": 20,
}

# Start the Actor and wait for it to finish.
run = client.actor("apisamurai/myntra-scraper-price-tracker").call(run_input=run_input)

# Read the results from the run's default dataset.
items = client.dataset(run.default_dataset_id).list_items().items
for item in items:
    print(item)

JavaScript (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const input = {
    searchTerms: ['levis jeans'],
    maxItemsPerSearch: 20,
};

// Start the Actor and wait for it to finish.
const run = await client.actor('apisamurai/myntra-scraper-price-tracker').call(input);

// Read the results from the run's default dataset.
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Client calls follow the Python and JavaScript client docs. The full input reference is on the Actor's Apify page.

FAQ

Where is the price history stored?

In your own Apify account. Runs with the same price history name share one history, so use the same name in every scheduled run.

When do charts appear?

Each product with 2 or more tracked days gets a price chart, and every run creates one HTML price report with the biggest drops first.

Can I use my own Myntra filters?

Yes. Set filters on myntra.com and paste the link. They are kept.

What is not charged?

Products that fail to load. Price history, charts and the report are included in the product price.

Where do I report a problem?

Email hello@apisamurai.com, or open an issue on the Actor's Apify page.