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Use Gin framework to implement crawler and data scraping functions

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2023-06-22 16:51:111114browse

As the Internet becomes more and more popular, data acquisition and analysis become more and more important. In this context, crawler technology and data capture functions have become an important part of many applications. For such needs, using the Gin framework to implement crawler and data capture functions is a very good choice.

  1. Introduction to Gin Framework

Gin is a lightweight HTTP Web framework with the following characteristics:

  • Fast: Gin Framework It is implemented using coroutines in Go language, which is very efficient.
  • Easy to use: Gin’s API design is very simple and easy to understand, and the learning cost is low.
  • Extensible: Gin supports middleware, which can easily expand functions.

Because the Gin framework has these advantages, it is widely used in fields such as web development, microservice development, and even data crawling.

  1. Implementing crawlers

Crawler refers to simulating human behavior through programs and automatically crawling data on the Internet. In the Gin framework, you can use the net/http package that comes with the Go language to implement a simple crawler function, for example:

func crawl(url string) (string, error) {
  resp, err := http.Get(url)
  if err != nil {
    return "", err
  }

  defer resp.Body.Close()

  body, err := ioutil.ReadAll(resp.Body)
  if err != nil {
    return "", err
  }

  return string(body), nil
}

This code uses the http.Get function to obtain the HTML source code of the specified URL, and The source code is returned as a string. However, this method can only obtain the content of static pages, and cannot handle dynamic content such as JavaScript, making it unable to meet the needs of more complex crawlers.

If you need to implement a more complex crawler, you can use a third-party crawler framework in the Go language, such as Goquery, Colly, etc. These frameworks use CSS selectors and other methods to locate and obtain specific elements in the page, making data capture more convenient and faster.

  1. Implementing data capture

To implement the data capture function in the Gin framework, the following steps are generally required:

  • Definition API interface so that external applications can call it.
  • Implement the specific logic of data capture in the API interface.
  • Format data and return.

The following is a simple example that implements the function of obtaining Google search results:

func search(c *gin.Context) {
  query := c.Query("q")
  if query == "" {
      c.JSON(http.StatusBadRequest, gin.H{"error": "query is empty"})
      return
  }

  resp, err := http.Get(fmt.Sprintf("https://www.google.com/search?q=%s", query))
  if err != nil {
      c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
      return
  }

  defer resp.Body.Close()

  doc, err := goquery.NewDocumentFromReader(resp.Body)
  if err != nil {
      c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
      return
  }

  var results []string
  doc.Find(".yuRUbf a").Each(func(_ int, s *goquery.Selection) {
      results = append(results, s.Text())
  })

  c.JSON(http.StatusOK, gin.H{
      "query":   query,
      "results": results,
  })
}

This code defines an API interface named search, which calls the The q parameter needs to be passed during the interface, which represents the keyword to be queried. In the code, the http.Get function is used to obtain the HTML source code of Google search results, then the goquery framework is used to locate and obtain the hyperlink text in the search results, and finally the results are formatted and returned.

  1. Summary

Using the Gin framework to implement crawler and data scraping functions usually requires the use of third-party extension libraries, such as goquery, Colly, etc. At the same time, you also need to pay attention to some anti-crawler measures, such as setting up User-Agent, using agents, etc. Overall, the Gin framework’s speed and ease of use make it a good framework choice.

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