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Scraping Ozon products

26.01.2024

Scraping Ozon products is the process of using automated tools to extract and collect data from the Russian e-commerce site Ozon. With product scraping, you can programmatically gather information on the site’s products, pricing, availability, reviews, images, and other data. This allows for large-scale data collection and analysis across Ozon’s massive product catalog.

Reasons to scrape Ozon

There are several key reasons companies, developers, and researchers may want to scrape data from Ozon:

Competitive pricing analysis

E-commerce companies can scrape Ozon to monitor competitors’ pricing and make data-driven decisions on their own pricing strategy. By extracting Ozon’s prices and tracking changes over time, they gain insight into price trends and opportunities to adjust pricing.

Product research

Product managers can use Ozon scraping to research product features, styles, descriptions, imagery, and more during the product development process. This provides inspiration and intelligence on what resonates with consumers.

Inventory and availability monitoring

Retailers can check competitors’ real-time inventory levels and product availability by scraping Ozon. This allows dynamic adjustment of their own inventory to capture demand.

Market and trend analysis

Scraped Ozon data reveals insights into product demand, emerging trends, seasonal impacts, and more. Analysts use this data to understand the market and identify opportunities.

Keyword and SEO research

Ozon product titles, descriptions, and reviews offer a trove of information for identifying relevant keywords and search terms for SEO and marketing.

How to scrape Ozon products

There are a few common techniques for scraping Ozon product data:

Web scraping with Python

Python has robust web scraping libraries like Beautiful Soup and Selenium that can programmatically extract data from Ozon’s product pages. Python scrapers iterate through product URLs or search results, parse the HTML of each page, and pull relevant data.

Headless browser scraping

Headless browsers like Puppeteer provide more robust scraping capabilities for complex, JavaScript-heavy sites like Ozon. They automate and control an actual browser without displaying the UI, allowing dynamic page interaction.

Scraper bots and services

There are pre-made scraper bots and paid scraping services that handle Ozon data extraction. These can offer easy setup andmaintenance, but less control compared to custom scrapers.

Ozon’s API

Ozon offers a product advertising API that allows approved advertisers to access certain product data like pricing, availability, and identifiers. This provides structured data but is more limited than page scraping.

Scraping best practices

When scraping Ozon, it’s important to follow ethical practices like:

  • Respecting crawl rate limits – Crawling too aggressively can overload servers. Gradually scale up scrapers and monitor performance.

  • Using staging/development servers – Test and refine scrapers before deploying to production to avoid issues.

  • Rotating proxies/IPs – Switch up IPs to distribute load and avoid blockages.

  • Scrubbing metadata – Strip scraping identifiable info from requests like headers and cookies.

  • Checking robots.txt – Avoid scraping pages blocked in robots.txt without permission.

  • Not reselling data – Use scraped data for internal purposes rather than reselling or redistributing.

Scraping challenges

Scraping large sites like Ozon brings challenges including:

  • Blocking and captchas – Aggressive scraping may trigger blocks, requiring workarounds like proxies and headless browsers.

  • Data inconsistencies – Product data may change or have inconsistencies that scrapers must handle.

  • JavaScript rendering – Heavily client-side sites require browsers to fully render pages before scraping.

  • Structuring unstructured data – Extracting freeform text like titles/descriptions requires parsing strategies.

  • Scalability – Scrapers must be optimized to efficiently handle scraping at scale and not overload servers.

Conclusion

Scraping Ozon can provide valuable and actionable data, but requires thoughtful engineering to overcome challenges around scale, blocks, rendering, and more. Following ethical practices ensures reliable ongoing access to Ozon’s catalog. With the right approach and precautions, Ozon product data can offer key competitive intelligence.

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