Every Meesho product page names the supplier behind it and rates that shop apart from the product. Our Meesho scraper collects both, along with price, MRP, sizes and reviews.
Plans from €169/month · Free project assessment · Reply within 1 business day
Meesho web scraping is something we do for you, not a tool you configure. You name the scope - categories such as Sarees, Kurtis or Home & Kitchen, a keyword list, a set of supplier shops or a list of product addresses - and the crawlers are ours to write, operate and fix when the layout changes.
The Meesho website refuses traffic it does not recognise, so proxy rotation, rendering, pacing and CAPTCHA handling are included. We collect what the public website shows without signing in: products, prices, sizes, ratings, reviews and supplier shops. The first step, a project assessment, is free, and you can order a sample before committing; after that deliveries are one-off or scheduled, as CSV, XLSX or JSON files with a description of every field and one row per product code.
Our Meesho product scraper returns one row per product, keyed on the short code that closes its address: a product lives at a slug, then /p/, then the code, and a category list at a slug, then /pl/ and a code of its own. From the product page we take:
Category and search results tiles carry the title, price, MRP, discount, delivery charge, rating and review count. Wide price sweeps therefore run from the lists alone and open a product page only when sizes, details or the supplier are needed.
A product page is a snapshot. Four things turn it into material a pricing or sourcing team can use.
Meesho is an online marketplace in India, and meesho.com is the web edition of a shop that also lives in an app the home page urges visitors to download. Products are listed by suppliers - Meesho's word for sellers, repeated in the Become a Supplier link at the top of every page - and each product page names the supplier's shop under Sold By.
The pitch is price. The home page leads with Lowest Prices, Cash on Delivery and 7 Days Easy Return, and its shelves are called Budget Buys, Top Rated Picks, Daily Essentials and Trending Now. The departments are Ethnic Wear, Western Dresses, Menswear, Footwear, Home Decor, Beauty, Accessories and Grocery, with a long tail beneath them: the menu lists Georgette, Chiffon, Cotton, Net, Silk and Bridal sarees as separate entries. A section called Original Brands keeps branded goods apart from the rest.
For anyone collecting data the consequences are practical. Titles are written by suppliers and are often generic - one category can hold several products called simply Baby Cereal - so the product code, not the name, is the only safe key. Where a product has no brand, size, fabric and the other Product Highlights do the work that a brand and model number do on other sites.
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Customers worldwide
Pages extracted
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€199 / one-time
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setup fee €499
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setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Meesho shows what budget goods sell for in India, with the selling price set against the MRP the supplier declared. A Meesho data scraper makes that readable across whole categories.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a managed web scraping agency. You describe the data, and we write the crawlers, operate them, mend them after site changes and hand over files or a feed.
Marketplaces of small suppliers such as Meesho are familiar ground for us: generic titles, attributes that differ from category to category, one item sold under several near-identical product pages. We keep product code, supplier and category attributes in separate columns so the rows can be grouped whichever way you need. We do not sell personal contact lists or dossiers on people.
Yes. The ScrapeIt Meesho API returns product code, title, price, MRP, discount, sizes, rating, review count and the supplier's shop name as JSON from an endpoint we host, refreshed on the schedule you set. The rows can equally be delivered as CSV or Excel files, as a JSON feed or as a load into your database.
Yes. Product pages, category lists, search results, ratings and supplier shop details on meesho.com are shown to everyone, signed in or not. We collect only publicly available data - everything a visitor can see on Meesho - and we collect it legally. Reviewer names are left out by default, and personal data is handled under GDPR.
Yes. Each review arrives with its score out of five, the date it was posted, the full text, the Helpful count and links to the photos attached to it. The rating spread from Excellent to Poor is delivered per product as well. Reviewer names are personal data, so that column is not included by default.
Yes. A Meesho dataset can cover a single category list such as Kurtis or Sarees, a set of search keywords, the products of chosen suppliers or a wider slice of the site. Every row carries the breadcrumb, so a category extract can still be split by sub-category later. A one-time extract suits a market study, and a schedule suits price tracking.
Prices on Meesho are set supplier by supplier, so there is no shared weekly rhythm to rely on. To track Meesho price history we revisit the same product codes daily or weekly and add a dated row each time, which builds the record the site does not show. Size availability is recorded on the same visits, so sell-outs show up next to the price.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Meesho data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
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