Meesho Product Details & Reviews Scraper

Turn Meesho product pages into structured JSON: selling price and discount, stock, supplier, product attributes (fabric, colour, fit and so on), size variants, the catalog's star rating breakdown and the newest customer reviews with photos. Start from a keyword, from product links, or from product / catalog ids. No login, no browser, no API key.

The actor uses the same anonymous API the Meesho Android app uses, so it returns the data the app shows.

What you get

One row per product.

Field	Description
product_id, catalog_id	Product and the catalog (group of designs from one supplier) it belongs to
name, catalog_name, description	Titles and the full description text
url	meesho.com share link of the product
category, category_id	Leaf category
price, original_price, discount_percent, prepaid_price	In INR
in_stock, shipping_time, cod_available	Availability as the app shows it without a delivery pincode
supplier_id, supplier_name, supplier_handle, supplier_rating, supplier_rating_count	The selling supplier
attributes	Object such as {"Fabric": "Cotton", "Color": "Green"}
images, tags, sku, weight_g	Gallery, badges and logistics fields
variants	Other designs in the catalog: id, name, price, discount, sizes, sizes in stock
rating, rating_count, review_count, rating_distribution	Catalog-level rating summary
reviews	Newest reviews: text, rating, date, reviewer name, helpful votes, photos, attribute labels

Ratings and reviews are stored per catalog, so products from the same catalog show the same reviews (each review names the product it was written for).

Use cases

• Price and discount monitoring for resellers and dropshippers
• Supplier benchmarking: compare ratings, dispatch time and price across suppliers of the same category
• Review mining for product research and sentiment analysis (Hinglish text is returned as written)
• Building catalogs and datasets for India's value e-commerce segment

Input

Parameter	Meaning
query	Keyword search; every hit is fetched in full
product_ids	Product ids or share links such as https://www.meesho.com/s/p/yzriz
catalog_ids	Catalog ids from Meesho search results. Resolved to the catalog's main product through its reviews, so catalogs without reviews are skipped
max_items	Upper limit of products for the whole run (1-200, default 20)
include_reviews, reviews_per_product	Reviews on or off, and how many per product (1-50)
include_variants	Add the other designs of the catalog
delay_between_requests	Pause between API calls in ms
proxyConfiguration	Optional Apify Proxy; try it if the log shows HTTP 403 or 429

Example:

{
    "query": "kurti",
    "max_items": 5,
    "include_reviews": true,
    "reviews_per_product": 5
}

Direct lookup:

{
    "product_ids": ["909412929", "https://www.meesho.com/s/p/379r74"],
    "reviews_per_product": 50
}

Scheduling and integrations

Run it on a schedule to track price, discount and rating changes, and send the dataset to Google Sheets, a webhook or your database with Apify integrations. Results are available as JSON, CSV or Excel from the dataset.

Use it from AI agents

Call the actor from any MCP-capable assistant through the Apify MCP server and ask for "the 10 best-reviewed kurtis under 300 rupees on Meesho"; the structured rows are ready for filtering.

FAQ

Do I need a Meesho account? No. The actor uses Meesho's anonymous app access.

Why is in_stock false for some products? Stock is read without a delivery pincode. Products that are out of stock for the default location show false.

Why do two products have the same reviews? Meesho attaches reviews to the catalog. Every review row carries product_id and product_name of the design it was written for.

Does it work outside India? The actor reads Meesho's public API from Apify's servers; the prices are in INR.

Why was a catalog id skipped? Catalog ids can only be resolved when the catalog has at least one review. Use product_ids (or a keyword) instead.