Collecting Data from Marketplaces via AI Browser: How to Automate Business Analytics on Wildberries and Ozon

Competition on Wildberries and Ozon is growing every day. To stay profitable, sellers need not just intuitive product selection but precise data: competitor prices, warehouse stock, order frequency, and seasonal fluctuations. Manually collecting data from hundreds of product cards takes hours and leads to errors. The solution is an AI browser that automatically extracts information via browser_scrape and turns data chaos into structured business analytics. ## How an AI Agent Works for Collecting Data from Marketplaces An AI browser is a smart tool that mimics human actions in a browser but hundreds of times faster. It opens product pages on Wildberries or Ozon, reads the necessary elements (price, rating, number of reviews, article number), and saves them to a table. Unlike regular parsing, the AI agent adapts to changes in the site's layout: if the marketplace updates its design, the browser automatically finds new selectors. ### Main Steps of browser_scrape: - **Authorization and navigation**: The AI logs into the personal account (if needed) and navigates through categories. - **Data extraction**: Reads prices, discounts, stock, and keywords from descriptions. - **Processing**: Removes duplicates and standardizes formats. - **Export**: Outputs to Excel, Google Sheets, or CRM. ## Use Cases of AI Browser for Market Analytics Automatic competitor monitoring on marketplaces opens opportunities that were previously only available to large aggregators. ### 1. Dynamic Pricing The AI agent can check prices of the top 20 competitors on Wildberries and Ozon every hour. If someone lowers a price, you receive a notification and adjust your own price. This is especially important for products with high demand elasticity—electronics, clothing, home goods. ### 2. Assortment and Seasonality Analysis By collecting data over a month, you can see which products are gaining popularity and which are becoming obsolete. For example, in June 2026, the AI browser might show a rise in queries for camping gear—allowing you to restock in time. ### 3. Finding Niche Products with Low Competition Parsing reviews and ratings helps find categories where customers are dissatisfied with quality or selection. You spot a market gap and launch a new product. ## Table: Comparison of Manual Collection vs. AI Browser | Criteria | Manual Collection | AI Browser (browser_scrape) | |----------|-------------------|-----------------------------| | Time for 100 cards | 2–3 hours | 5–10 minutes | | Data accuracy | Depends on fatigue | 99.9% with proper setup | | Update frequency | Once a day | Every 15–60 minutes | | Adaptation to site changes | Requires manual reconfiguration | Automatic | | Monthly cost | High (employee salary) | Low (AI and proxy costs) | ## How to Integrate an AI Browser into Your Business Process You don't need to be a programmer to get started. Most modern AI agents have a visual interface: you simply click on the page elements you want to collect, and the system remembers the path. Then you set up a schedule—for example, collection every 2 hours from 9:00 AM to 9:00 PM. An important nuance: marketplaces may block frequent requests. Use proxy rotation and delays between actions (simulating human behavior). The AI browser can make random pauses and move the mouse to avoid detection. ## Conclusion Collecting data from marketplaces via an AI browser is not a luxury but a necessity for those who want to make decisions based on facts, not guesses. Automating business analytics on Wildberries and Ozon allows you to reduce time costs by 10–20 times and instantly respond to market changes. If you want to learn how to set up such AI agents from scratch, check out practical courses—for example, on the ASI Biont platform. All courses there are completely free, with no hidden fees or freemium restrictions. Start small: collect data on one product category—and you'll see how many opportunities you've been missing.

Collecting Data from Marketplaces via AI Browser: How to Automate Business Analytics on Wildberries and Ozon

Comments

Recent articles

MCP Servers and Tools for AI: How Model Context Protocol Is Transforming Learning with AI

AI Testing: How to Test AI Applications and Models — From Eval Metrics to CI/CD

AI for Working with Code: Generation, Refactoring, and Debugging via execute_python

Course 'Video Editing and Animation': How AI Accelerates Learning on ASI Biont

Go and Rust — Systems Programming: How AI Is Changing Learning on ASI Biont

Prompt Engineering Pro: How AI is Changing the Approach to Learning on ASI Biont

AI Agent in Telegram: How @asibiont_bot Replies to Subscribers and Automates Communication

How to Write Prompts for Vibe Coding: A Constructor for Effective Queries

SQL Mastery (Window Functions, Indexes): How AI is Changing Advanced SQL Learning