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Use Go to scrape product descriptions from Morele Poland
Morele.net is a well-known online store in Poland, offering a wide range of electronics and computer products. Scraping product descriptions from Morele involves using Go with the Colly library to efficiently fetch and parse HTML content. Product descriptions are generally found in a dedicated section on the product page, often displayed in paragraphs or bullet points. These descriptions provide detailed information about the product’s features, specifications, and usage.
The first step is to inspect the HTML structure of the Morele product page using browser developer tools to identify the tags and classes that contain the product description. Once identified, the script can be configured to locate these elements and extract their content. Below is a complete Go implementation for extracting product descriptions from Morele Poland:package main import ( "fmt" "log" "github.com/gocolly/colly" ) func main() { // Create a new Colly collector c := colly.NewCollector() // Handle the scraping of product descriptions c.OnHTML(".product-description", func(e *colly.HTMLElement) { description := e.Text fmt.Println("Product Description:") fmt.Println(description) }) // Handle errors c.OnError(func(_ *colly.Response, err error) { log.Println("Error occurred:", err) }) // Visit the Morele product page err := c.Visit("https://www.morele.net/product-page") if err != nil { log.Fatalf("Failed to visit website: %v", err) } } -
4 Replies
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The script could be extended to scrape multiple product descriptions by dynamically following links from a category page. This would allow the collection of data across a broader range of items in a single run.
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Adding error handling for missing or incomplete descriptions would improve the script’s reliability. Logging products without descriptions would allow for better tracking and troubleshooting of missing data.
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Saving the scraped descriptions into a structured format like JSON or a database would make it easier to manage and analyze the data. This approach is particularly useful for building detailed product catalogs.
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Integrating user-agent rotation and proxy support would ensure that the script avoids detection by Morele’s anti-scraping mechanisms. This would help maintain consistent access while scraping data from multiple product pages.
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