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Scraping flight details using Go for performance efficiency
Scraping flight details, such as destinations, prices, and times, is often performance-intensive due to the large amount of dynamic data. Go is an excellent choice for such tasks due to its speed and concurrency capabilities. Using the Colly library, you can efficiently scrape static content. For dynamic pages, integrating Go with a headless browser library like chromedp enables handling JavaScript-rendered content. Additionally, analyzing network requests in developer tools can help identify endpoints serving flight data directly.
Here’s an example of scraping flight details using Go and Colly:package main import ( "fmt" "log" "github.com/gocolly/colly" ) func main() { c := colly.NewCollector() c.OnHTML(".flight-item", func(e *colly.HTMLElement) { destination := e.ChildText(".destination") price := e.ChildText(".price") time := e.ChildText(".flight-time") fmt.Printf("Destination: %s, Price: %s, Time: %s\n", destination, price, time) }) err := c.Visit("https://example.com/flights") if err != nil { log.Fatalf("Failed to scrape: %v", err) } }
For scaling, Go’s concurrency model allows scraping multiple pages simultaneously without heavy resource usage. How do you ensure reliability when scraping large-scale dynamic flight data?
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