Myntra Reviews Scraper ๐Ÿ›๏ธ avatar

Myntra Reviews Scraper ๐Ÿ›๏ธ

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Myntra Reviews Scraper ๐Ÿ›๏ธ

Myntra Reviews Scraper ๐Ÿ›๏ธ

easyapi/myntra-reviews-scraper
Try for free

2 hours trial then $19.99/month - No credit card required now

Scrape product reviews from Myntra.com - Extract detailed review data including ratings, comments, user info, and style attributes. Perfect for market research and customer sentiment analysis.

You can access the Myntra Reviews Scraper ๐Ÿ›๏ธ programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, youโ€™ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Myntra Reviews Scraper ๐Ÿ›๏ธ via Model Context Protocol (MCP) server

MCP server lets you use Myntra Reviews Scraper ๐Ÿ›๏ธ within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Myntra Reviews Scraper ๐Ÿ›๏ธ Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {  # Actor inputs
7        "reviewUrls": ...,
8        ...
9    },
10    "name": "zBVClNPxv3OlZhWuH"
11  }
12}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [{
5      "type": "text"
6      "text": "ACTOR_RESPONSE"
7    }]
8  }
9}

Configure local MCP Server via standard input/output for Myntra Reviews Scraper ๐Ÿ›๏ธ

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2"mcpServers": {
3  "actors-mcp-server": {
4    "command": "npx",
5    "args": [
6      "-y", "@apify/actors-mcp-server",
7      "--actors", "zBVClNPxv3OlZhWuH"
8    ],
9    "env": {
10       "APIFY_TOKEN": "YOUR_API_TOKEN"
11    }
12  }
13}
14}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.

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  • 1 Monthly user

  • No reviews yet

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  • >99% runs succeeded

  • Created in Jan 2025

  • Modified 2 days ago