Marketplace parser, that actually works

Parser for Wildberries, Ozon, and Lamoda right in your browser.

1,000+ installs
4.9 rating

Works on leading marketplaces

Wildberries parserOzon parserLamoda parser

Instant Data Collection

Market Ninja turns category, search, and brand pages into a ready-to-use data table in just a few clicks.

  • Bulk parsing of catalogs and products
  • Export all variants of a single product card

Data Analysis & Export

Don't just collect data, work with it. Find profitable deals directly in the table or export reports for deep analytics.

  • Instant search across the entire table
  • Smart data sorting
  • Export to Excel (XLSX), CSV, and JSON in one click

Customize the Parser

Add your own custom fields for data collection. If a specific feature exists on the website, Market Ninja will find it.

Example

Need the "Volume" field? Just specify this name in the settings, and it will appear in your table.

Customer Review Scraping

Collect hundreds of reviews from listing pages and individual product cards in one click. Analyze real customer pain points, spot growth opportunities, and improve your product based on what buyers actually write.

  • Scrape reviews from catalog, search, brand, and seller pages
  • Collect reviews from individual product cards
  • Export to Excel, CSV, and JSON

How does it work?

The entire process from installation to the first report takes less than a minute.

1

Install the extension

Add Market Ninja to your browser from the Chrome Web Store. It's safe and free.
Install
2

Go to the marketplace

Open Wildberries, Ozon, or Lamoda. Navigate to a category or a product page.
3

Click the button

Click «Collect Data». The extension will automatically scan the page and gather the data.
4

Download the table

Export the ready report in Excel, CSV, or JSON for further analysis.

What our users say

Real reviews from the Chrome Web Store

Pricing Plans

Start for free and upgrade to Premium when you're ready

Basic

Essential features

Basic
Standard access
RUB 0
Install for Chrome
Collect 100% characteristics
Automatically extract absolutely all properties from product cards. Unlimited custom columns.
Unlimited review parsing
Bulk export of all reviews for deep analysis of audience pain points and finding new insights.
Seller & supplier analysis
Export hidden data: TIN, PSRN, legal entity names and seller addresses.
Image downloader (Soon)
Ability to download all product images in a single ZIP archive for easy content migration.
List parsing (Soon)
Bulk data collection using your predefined list of URLs or SKUs.

Premium

Deep parsing and analytics

Monthly Billing
Billed once a month
RUB 990
Install for Chrome
Everything included in Basic, plus:
Collect 100% characteristics
Automatically extract absolutely all properties from product cards. Unlimited custom columns.
Review parsing (Soon)
Export customer review texts to analyze pain points and find insights.
Image downloader (Soon)
Ability to download all product images in a single ZIP archive for easy content migration.
List parsing (Soon)
Bulk data collection using your predefined list of URLs or SKUs.
Built-in analytics (Soon)
Artificial intelligence tools for instant analysis of competitors and product niches right within the extension.

You can subscribe in the extension interface

Questions & Answers

Is the Market Ninja extension free?
Yes, the basic functionality of the Market Ninja parser is completely free for all users.
Which marketplaces does Market Ninja support?
Currently, the extension supports data collection from Wildberries, Ozon, and Lamoda.
Do I need coding skills or technical knowledge?
Not at all! Market Ninja allows you to easily scrape data from marketplaces without any special technical skills.
In what formats can I download the data?
You can export the collected data in Excel (XLSX), CSV, and JSON formats.
Is it safe to use the extension for Ozon?
The extension works locally in your browser, simulating regular user actions. We do not require your seller account login or password.

Find more answers in the documentation

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