# Meesho Search Scrapper (`automation-hub/meesho-search-scrapper`) Actor

Scrape Meesho product listings by keyword. Returns product name, supplier name, MRP, selling price, discount percentage, rating, reviews count, and product URL. Ideal for price comparison, catalogue research, and trend analysis across fashion, home, and lifestyle categories.

- **URL**: https://apify.com/automation-hub/meesho-search-scrapper.md
- **Developed by:** [DataForge](https://apify.com/automation-hub) (community)
- **Categories:** Automation, Lead generation, E-commerce
- **Stats:** 10 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.49 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Meesho Search Scraper

Scrape Meesho product listings by keyword. Returns product name, supplier name, MRP, selling price, discount percentage, rating, reviews count, and product URL. Ideal for price comparison, catalogue research, and trend analysis across fashion, home, and lifestyle categories.

### Input

| Field | Type | Description | Default |
|---|---|---|---|
| `search_strings` | string\[] | Keywords to search (e.g. `saree`, `kurta`) | `["saree"]` |
| `max_results` | integer | Max products per keyword | `10` |
| `proxyConfiguration` | object | Proxy settings (residential recommended) | Apify residential IN |

### Output

Each result is one product from the search listing:

| Field | Description |
|---|---|
| `search_keyword` | Keyword used for this result |
| `product_id` | Meesho product ID from URL |
| `title` | Product name |
| `price` | Selling price |
| `mrp` | Original MRP (may be absent if no discount) |
| `discount` | Discount percentage string |
| `rating` | Average rating (float) |
| `reviews_count` | Number of ratings/reviews |
| `product_url` | Full product URL |
| `thumbnail` | Product image URL |

### Notes

- Meesho uses infinite scroll — the scraper scrolls down to load more products until `max_results` is reached.
- Residential proxies (India) are strongly recommended to avoid blocks.
- Keep `max_results` reasonable (≤200) to avoid long runtimes.

# Actor input Schema

## `search_strings` (type: `array`):

List of keywords to search on Meesho (e.g. 'saree', 'kurta', 'bedsheet').

## `max_results` (type: `integer`):

Maximum number of products to scrape per keyword.

## `proxyConfiguration` (type: `object`):

Proxy settings. Residential proxies recommended for best results.

## Actor input object example

```json
{
  "search_strings": [
    "saree"
  ],
  "max_results": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "search_strings": [
        "saree"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "IN"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation-hub/meesho-search-scrapper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "search_strings": ["saree"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "IN",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("automation-hub/meesho-search-scrapper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "search_strings": [
    "saree"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}' |
apify call automation-hub/meesho-search-scrapper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=automation-hub/meesho-search-scrapper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/M0lz3O9cQ6I8bw3ZG/builds/hzIBG7K2COvqMMa5F/openapi.json