Meesho Bulk Product Exporter: Categories & Search

Export Meesho products in bulk from a search keyword, a single category or every category in Meesho's navigation tree. Each row has the price, MRP, discount, rating, supplier, brand, category and image links. It uses the same anonymous API as the Meesho Android app: no login, no browser, no cookies to supply.

The actor pages through results with the app's own cursor, drops duplicate catalogs across pages and categories, and stops at the product limit you set.

What you get

Field	Description
catalog_id	Meesho catalog id, unique per row
name, hero_product_name	Catalog name and the lead product's name
brand_name	Brand shown on the product (empty for many unbranded items)
price, original_price, discount	Lowest price in INR, MRP in INR, highest discount in %
prepaid_price	Price with the prepaid-payment discount
rating, rating_count, reviews_count	Average rating, number of ratings, written reviews as reported by the listing API (often 0, rating_count is the reliable popularity signal)
supplier_id, supplier_name	Seller of the catalog
category, category_id	Sub-category name and id
num_designs	Number of designs / variants in the catalog
image_url, images	Cover image and product image URLs
mall_verified, created_at	Meesho Mall flag, catalog creation time
url	Short Meesho product link
fetched_at	UTC time the run started
reviews	Only with include_reviews: reviewer, rating, text, date, images

Example row (from a real run):

{
    "catalog_id": 131015550,
    "name": "Alisha Refined Sarees",
    "brand_name": "AAKARSHAK",
    "price": 181,
    "original_price": 276,
    "discount": 34,
    "prepaid_price": 149,
    "supplier_name": "Singh saree",
    "rating": 3.8,
    "rating_count": 29545,
    "category": "Sarees",
    "num_designs": 8,
    "url": "https://www.meesho.com/s/p/78zyj7"
}

Use cases

• Build a product catalog or price list for a Meesho category (dropshipping, resellers).
• Track prices, discounts and rating counts of a niche over time (schedule the actor daily).
• Find the suppliers and brands that dominate a keyword such as "kurti" or "saree".
• Feed product data into spreadsheets, BI tools or AI agents.

Input

Field	Default	Description
mode	search	search, category or popular_categories (all categories in the navigation tree)
query	-	Keyword, required for search
category_id	-	Meesho category id, required for category
max_pages	15	Pages per search or category
limit_per_page	20	Products per request (max 50)
max_total_items	5000	Stop after this many unique products
include_reviews	false	Add up to max_reviews_per_product reviews per product (one extra request each, so slower)
delay_between_requests	500	Pause between pages in ms
proxyConfiguration / proxy_url	off	Optional proxy; a direct connection is the default

Search example:

{ "mode": "search", "query": "kurti", "max_pages": 10, "max_total_items": 200 }

Category example:

{ "mode": "category", "category_id": 182549, "max_pages": 5, "max_total_items": 100 }

Scheduling and integrations

Use Apify schedules to run the same input daily or weekly and compare datasets, or call the actor from the API, Make, n8n, Zapier or an AI agent through the Apify MCP server. Results can be downloaded as JSON, CSV or Excel.

FAQ

Does it need a login or cookies? No. It uses the anonymous app API.

How deep can I go? Search and category feeds keep returning new pages well past the first hundred products. The real depth per keyword is decided by Meesho; the run log says when the last page is reached.

Why are there fewer rows than max_total_items? The source ran out of results, or duplicates were removed. Rows are unique by catalog_id.

Why is brand_name or rating empty on some rows? Meesho does not provide them for every catalog (new or unbranded items).

Prices are in which currency? Indian rupees (INR).

The run reports HTTP 403/429. Increase delay_between_requests, lower limit_per_page, or enable Apify Proxy in the advanced settings.

This actor is not affiliated with Meesho. It only reads data that the public app serves to anonymous users.