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Myntra Price Tracker — Product Price, Rating & Search Result API

Track public Myntra India fashion and lifestyle search results by keyword. Export apparel-focused records with title, brand, INR price, discount text, rating, image, availability signals, product URL, source URL, query, and rank. Returns clean JSON / CSV / Excel for fashion pricing, assortment analysis, brand visibility tracking, and AI shopping workflows.

TL;DR (40-word answer): Myntra Price Tracker is a no-login Apify Actor for public Myntra India fashion and lifestyle search data. It returns normalized records with brand, INR price, discount, rating, images, source URL, query, and rank. Pricing uses the result event from $0.0083 per result. Last updated 2026-06-29.

What it is NOT: Myntra Price Tracker is not a checkout bot, private Myntra account tool, electronics catalog scraper, or fashion recommendation engine. It reads public Myntra fashion and lifestyle search results and returns source-linked product records.

Myntra Price Tracker is an Apify Actor that accepts keyword, country, and max_results, then exports a source-linked product dataset with standardized fields for analysis. It keeps the user's query visible in query, preserves public source context in source_url, and does not hide platform-specific ranking behavior behind artificial sorting. Maintained by TrueFetch on the Apify Store.

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🛒 Why choose Myntra Price Tracker

Myntra Price Tracker is best for fashion retailers, brand analysts, ecommerce teams, and AI agents that need current Myntra product prices and catalog signals in India.

• India fashion focus: country is India and search examples should use fashion/lifestyle keywords such as running shoes, kurta, jeans, saree, watch, handbag, or brand names.
• Myntra-specific context stays visible: fashion search results often depend on brand, style term, discount, rating, and merchandising rank, so query, rank, source_url, and product_url remain on every row.
• Fashion fields include title, brand, price, discount text, rating, review count, stock text, product URL, source URL, and image URLs when available.
• Output follows the same normalized 58-field product schema used by the TrueFetch shopping actor family.
• Pay-per-result pricing uses the result event for delivered dataset rows.

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🚀 Quick Start — run in 3 steps

Run in Apify Console

1. Open the Actor — go to Myntra Price Tracker on Apify and click Try for free.
2. Configure inputs — enter keyword, choose country, and set max_results.
3. Click Start — the Actor streams product records to the default dataset. Export as JSON, JSONL, CSV, Excel, XML, RSS, or pull via the dataset API.

Run via Apify API

curl -X POST "https://api.apify.com/v2/acts/TrueFetch~myntra-price-tracker/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "keyword": "running shoes",
  "country": "India",
  "max_results": 100
}'

Run via MCP (for AI agents)

Myntra Price Tracker is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the Apify MCP Server. Reference the Actor as TrueFetch/myntra-price-tracker and pass the same JSON input as above.

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⚙️ Input parameters

Parameter	Type	Required	Description	Example
keyword	string	yes	Product search phrase, brand, model, category, or marketplace query to send to Myntra.	running shoes
country	string	yes	Country/storefront to query. Supported values: India.	India
max_results	integer	yes	Maximum number of product records to return. The actor stops at this user limit or the platform's available result limit, whichever comes first.	100

Supported country values: India.

Default behavior: the Actor sends the supplied input through the platform adapter, respects the platform's public search behavior, and stops at max_results or the platform's available result boundary.

{
  "keyword": "running shoes",
  "country": "India",
  "max_results": 100
}

---

📦 Output dataset

Each run writes normalized product records to the default Apify dataset. The schema contains 58 product-analysis fields so records from different shopping platforms can be compared without renaming columns. Optional fields stay empty when the source platform does not expose them.

Field	Type	Description
title	string/null	Product or listing title returned by the source platform.
brand	string/null	Product brand when the platform exposes it clearly.
price, currency, price_text	number/string/null	Numeric price, ISO currency, and original display price text for verification.
was_price, discount_pct, discount_text, promo_text	mixed/null	Promotion and discount signals when present on the source.
stock_status, stock_text	string/null	Normalized and original availability text.
rating, review_count	number/integer/null	Public rating and review count when available.
seller, seller_url, seller_score	string/number/null	Seller or store signals when exposed by the platform.
main_image, image_urls	string/array/null	Product image URL fields with non-product placeholders filtered out.
product_id, sku, gtin, mpn, model	string/null	Product identifiers when the source provides them.
category, breadcrumbs, features, specifications	mixed/null	Product categorization, bullet points, and specs when available.
shipping_text, shipping_cost, delivery_text, pickup_text, return_text	mixed/null	Fulfillment, pickup, delivery, and return signals when present.
platform, site, country, product_url, source_url, query, rank	string/integer/null	Source traceability fields used to audit query-to-result correctness.
sponsored, processor, processed_at	boolean/string/null	Sponsored flag when known, actor URL, and UTC processing timestamp.

Sample output

{
  "main_image": "https://assets.myntassets.com/assets/images/example.jpg",
  "image_urls": [
    "https://assets.myntassets.com/assets/images/example.jpg"
  ],
  "title": "Nike Men Running Shoes",
  "brand": "Nike",
  "category": "Footwear",
  "price": 3499,
  "currency": "INR",
  "price_text": "₹3,499",
  "stock_status": "in_stock",
  "stock_text": "Available",
  "rating": 4.4,
  "review_count": 2387,
  "seller": "Myntra",
  "platform": "Myntra",
  "site": "myntra.com",
  "country": "India",
  "product_url": "https://www.myntra.com/sports-shoes/example/123456/buy",
  "source_url": "https://www.myntra.com/running-shoes",
  "query": "running shoes",
  "rank": 1,
  "sponsored": false,
  "processor": "https://apify.com/truefetch/myntra-price-tracker",
  "processed_at": "2026-06-29T00:00:00+00:00"
}

---

💡 Use cases

For fashion brands monitoring Myntra pricing

• Problem: A brand team needs to monitor competitor prices, discounts, and search visibility on Myntra for fashion and lifestyle categories.
• How Myntra Price Tracker solves it: Run fashion keywords such as running shoes, saree, kurta, denim jacket, or brand names and compare brand, price, discount_text, rating, and rank.
• Outcome: A structured India fashion price dataset with source URLs and original search order.

For ecommerce analysts tracking assortment gaps

• Problem: An analyst wants to compare which brands, styles, and price bands appear for important Myntra searches.
• How Myntra Price Tracker solves it: Group results by brand, category, rank, price, discount_text, and stock_text.
• Outcome: A source-linked view of fashion search visibility and catalog depth.

For AI agents answering fashion shopping questions

• Problem: An AI assistant needs current Myntra options for a user budget, brand preference, and style query, not generic web snippets.
• How Myntra Price Tracker solves it: Call the Actor through Apify API or MCP and filter returned records by price, brand, rating, availability, and product URL.
• Outcome: Grounded Myntra fashion answers with live product URLs.

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💰 Pricing, limits, and performance

Fact	Value
Pricing model	Pay-per-event
Dataset billing event	result
FREE result price	$0.0083 per result (about $8.30 per 1,000 results)
GOLD / PLATINUM / DIAMOND result price	$0.00747 per result
Result unit	One successful product/listing record pushed to the default dataset
Required inputs	keyword, country, max_results
Supported countries	India
Output schema	58 normalized product fields
Login / cookies required	No user login, cookies, or marketplace API key required
Export formats	JSON, JSONL, CSV, Excel, XML, RSS, dataset API

You are billed for dataset results through the configured result charge event. Use max_results to control requested volume; the final count can be lower when the source platform returns fewer public matches.

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⚖️ Compared with alternatives

Capability	Myntra Price Tracker	Manual browsing	Custom scraper
Structured product records	yes	no	you build it
Source URL and query retained	yes	manual	depends on implementation
Normalized price/rating/image fields	yes	no	you maintain mapping
Respects platform public ranking	yes	manual observation	easy to accidentally override
Apify dataset exports and API	yes	no	you build storage/export
Setup time to first run	minutes	minutes per query	days to weeks

Verdict. Myntra Price Tracker is built for India fashion and lifestyle analysis where brand, style keywords, discounts, and Myntra's merchandising rank matter.

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⚠️ Common mistakes to avoid

1. Using electronics or general marketplace keywords. Myntra is fashion and lifestyle focused. Queries like iPhone can legitimately return no useful results; use fashion categories, brand names, styles, or apparel terms.
2. Ignoring country. Myntra Price Tracker supports India and uses India-facing public search behavior.
3. Treating missing optional fields as parser failures. Myntra may not expose every rating, review, stock, or category field on every result. Audit with source_url.
4. Re-sorting without keeping rank. Preserve rank if you need to understand Myntra's original merchandising order.
5. Expecting checkout or recommendation data. This Actor returns public search-result data, not cart, order, account, personalized recommendation, or private API data.

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🛠️ Troubleshooting

Problem	Likely cause	Fix
Empty dataset	The keyword has no public results, the selected country is unsupported for that platform, or the platform returned no matches.	Try a broader keyword, verify country, and compare with the generated source_url when available.
Fewer rows than max_results	The platform exposed fewer public results than requested or hit its own result boundary.	Treat max_results as an upper bound, not a guarantee.
Price or rating is empty	The source result did not expose that field for the item.	Use price_text, stock_text, source_url, and product_url for audit.
Results look different from another run	Marketplace algorithms, location, availability, ads, and ranking can change.	Compare query, country, source_url, rank, and processed_at.

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❓ FAQ

What data does Myntra Price Tracker return?

Myntra Price Tracker returns normalized product records with fields such as title, brand, price, currency, price_text, rating, review_count, stock_text, seller, main_image, product_url, source_url, platform, site, country, query, rank, processor, and processed_at. Optional fields are populated only when the source platform exposes them.

How much does Myntra Price Tracker cost?

Pricing is pay-per-event. The dataset billing event is result; current tiered pricing starts at $0.0083 per result on FREE and $0.00747 per result on GOLD, PLATINUM, and DIAMOND. Check the Apify pricing panel for the final account-specific charge.

Which countries does Myntra Price Tracker support?

Supported country values are defined in the actor input schema. Current support: India.

Does Myntra Price Tracker require a login or API key?

No. Myntra Price Tracker is designed for public product/search data and does not require a shopper login, cookies, or a marketplace API key from the user.

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🔌 Integrations

Myntra Price Tracker plugs into the Apify ecosystem:

• Schedules — run recurring price and search monitoring jobs (docs).
• Webhooks — POST completed runs to your pricing database, BI stack, or workflow tool on ACTOR.RUN.SUCCEEDED (docs).
• Apify API — use run-sync-get-dataset-items for blocking calls or runs for async jobs (docs).
• MCP Server — call the Actor from Claude, ChatGPT, Cursor, and other agents (docs).
• No-code tools — connect with Make, Zapier, n8n, Pipedream, Google Sheets, Airtable, and other dataset consumers.

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🧱 Sister Actors from TrueFetch

Jobs

• Best Job Listing
• Glassdoor Job Listing
• Indeed Job Listing
• LinkedIn Job Listing

Shopping & Deals

• Product Price Tracker
• Amazon Price Tracker
• Argos Price Tracker
• eBay Price Tracker
• Flipkart Price Tracker
• Myntra Price Tracker
• Target Price Tracker
• Walmart Price Tracker

Vehicles

• AutoTrader Car Listing
• Cars.com Car Listing

Real Estate

• US Property Listing
• Zillow Property Listing

Local Business & Food

• BBB Business Profile
• Google Maps Business Listing
• Zomato Restaurant Listing

Classifieds

• Kleinanzeigen Listing
• OLX Listing

Social Media

• Instagram Profile
• Reddit Post Search
• Telegram Channel Message

Videos & Text

• TikTok Video
• YouTube Video

Content & Articles

• Medium Article
• Substack Article

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📞 Support, changelog, last updated

Support

• Telegram support: @AiAgentApi
• Telegram community: TrueFetch
• Apify Actor page: Myntra Price Tracker

Changelog

• 2026-06-29: Replaced stale template copy with Myntra Price Tracker SEO/GEO copy, current actor slug, current input schema, and normalized product dataset fields.

---

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Myntra Price Tracker",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Cloud",
  "url": "https://apify.com/truefetch/myntra-price-tracker",
  "description": "Track public Myntra India fashion and lifestyle search results. Export records with brand, INR price, discount, rating, images, availability, source URL, query, and rank.",
  "offers": {
    "@type": "Offer",
    "price": "0.0083",
    "priceCurrency": "USD",
    "description": "Pay-per-result pricing for the result event"
  },
  "provider": {
    "@type": "Organization",
    "name": "TrueFetch",
    "url": "https://apify.com/truefetch"
  }
}

Last updated: 2026-06-29. Schema: Product search and price tracking Actor. Maintained by TrueFetch.