# Meesho Product Scraper (`codingfrontend/meesho-product-scraper`) Actor

Scrape comprehensive product data from Meesho.com using internal API - includes pricing, ratings, seller info, and more.

- **URL**: https://apify.com/codingfrontend/meesho-product-scraper.md
- **Developed by:** [Coding Frontned](https://apify.com/codingfrontend) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 12 total users, 4 monthly users, 74.5% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 Product Scraper

Collects bounded public Meesho product records from rendered search listings.

### Modes

- `search`: build a Meesho search URL from `searchQuery`.
- `searchUrl`: scrape a public Meesho `/search` URL.

The modes support 1–100 unique products, observed-price bounds, and relevance/price/rating sorting. Requests are direct unless `proxyConfiguration` is explicitly supplied.

The Actor does not store raw page state, cookies, browser diagnostics, or failure rows. Empty values are omitted rather than replaced with invented zeros or booleans. `OUTPUT` summarizes successful runs.

Direct product-detail pages are intentionally unsupported: current automated browsing does not reliably expose the public detail state, even after same-tab warm-up or standard datacenter fallback. Listing rows link to the canonical product page without claiming unavailable stock or seller fields.

Category pages are also intentionally unsupported because the current public route does not reliably expose product cards to automated Chrome; use an equivalent Meesho search URL instead.

# Actor input Schema

## `mode` (type: `string`):

Choose a query or a complete public search URL.

## `searchQuery` (type: `string`):

Required in search mode; maximum 120 characters.

## `searchUrl` (type: `string`):

A public https://www.meesho.com/search URL.

## `maxItems` (type: `integer`):

Save between one and 100 unique products.

## `sortBy` (type: `string`):

Sort observed list records before saving them.

## `minPrice` (type: `integer`):

Optional minimum observed price in INR.

## `maxPrice` (type: `integer`):

Optional maximum observed price in INR.

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

Optional. Direct browsing is used when omitted.

## Actor input object example

```json
{
  "mode": "search",
  "searchQuery": "saree",
  "maxItems": 50,
  "sortBy": "relevance"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `output` (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 = {
    "searchQuery": "saree"
};

// Run the Actor and wait for it to finish
const run = await client.actor("codingfrontend/meesho-product-scraper").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 = { "searchQuery": "saree" }

# Run the Actor and wait for it to finish
run = client.actor("codingfrontend/meesho-product-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "searchQuery": "saree"
}' |
apify call codingfrontend/meesho-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,codingfrontend/meesho-product-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PK9NZ6XGxlKFdwgVb/builds/vHa4sVD6NfDoibnMr/openapi.json