Web Scraping a Go
First steps
First of all we must have Go installed, Instructions to download and install Go.
We create a new folder for the project, move to the directory and execute the following command:
go mod init scraper
? The go mod init command is used to initialize a new Go module in the directory where it is run and creates a go.mod file to track code dependencies. Dependency management
Now let's install Colibri:
go get github.com/gonzxlez/colibri
? Colibri is a Go package that allows us to crawl and extract structured data on the web using a set of rules defined in JSON. Repository
Extraction rules
We define the rules that colibri will use to extract the data we need. Documentation
We are going to make an HTTP request to the URL https://pkg.go.dev/search?q=xpath which contains the results of a query for Go packages related to xpath in Go Packages.
Using the development tools included in our web browser, we can inspect the HTML structure of the page. What are the browser development tools?
<div class="SearchSnippet"> <div class="SearchSnippet-headerContainer"> <h2> <a href="/github.com/antchfx/xpath" data-gtmc="search result" data-gtmv="0" data-test-id="snippet-title"> xpath <span class="SearchSnippet-header-path">(github.com/antchfx/xpath)</span> </a> </h2> </div> <div class="SearchSnippet-infoLabel"> <a href="/github.com/antchfx/xpath?tab=importedby" aria-label="Go to Imported By"> <span class="go-textSubtle">Imported by </span><strong>143</strong> </a> <span class="go-textSubtle">|</span> <span class="go-textSubtle"> <strong>v1.2.5</strong> published on <span data-test-id="snippet-published"><strong>Oct 26, 2023</strong></span> </span> <span class="go-textSubtle">|</span> <span data-test-id="snippet-license"> <a href="/github.com/antchfx/xpath?tab=licenses" aria-label="Go to Licenses"> MIT </a> </span> </div> </div>
Fragment of the HTML structure that represents a result of the query.
Then we need a selector “packages” that will find all the div elements in the HTML with the class SearchSnippet, from those elements a selector “name” will take the text of the element a inside an element h2 and a selector “path” will take the value of the href attribute of the a element within an h2 element. . In other words, “name” will take the name of the Go package and “path” the path of the package :)
{ "method": "GET", "url": "https://pkg.go.dev/search?q=xpath", "timeout": 10000, "selectors": { "packages": { "expr": "div.SearchSnippet", "all": true, "type": "css", "selectors": { "name": "//h2/a/text()", "path": "//h2/a/@href" } } } }
- method: specifies the HTTP method (GET, POST, PUT, ...).
- url: URL of the request.
- timeout: timeout in milliseconds for the HTTP request.
-
selectors: selectors.
-
“packages”: is the name of the selector.
- expr: selector expression.
- all: specifies that all elements matching the expression should be found.
- type: the type of the expression, in this case a CSS selector.
-
selectors: nested selectors.
- “name” and “path” are the names of the selectors and their values are expressions, in this case XPath expressions.
-
“packages”: is the name of the selector.
Code in Go
We are ready to create a scraper.go file, import the necessary packages and define the main function:
package main import ( "encoding/json" "fmt" "github.com/gonzxlez/colibri" "github.com/gonzxlez/colibri/webextractor" ) var rawRules = `{ "method": "GET", "url": "https://pkg.go.dev/search?q=xpath", "timeout": 10000, "selectors": { "packages": { "expr": "div.SearchSnippet", "all": true, "type": "css", "selectors": { "name": "//h2/a/text()", "path": "//h2/a/@href" } } } }` func main() { we, err := webextractor.New() if err != nil { panic(err) } var rules colibri.Rules err = json.Unmarshal([]byte(rawRules), &rules) if err != nil { panic(err) } output, err := we.Extract(&rules) if err != nil { panic(err) } fmt.Println("URL:", output.Response.URL()) fmt.Println("Status code:", output.Response.StatusCode()) fmt.Println("Content-Type", output.Response.Header().Get("Content-Type")) fmt.Println("Data:", output.Data) }
? WebExtractor are default interfaces for Colibri ready to start crawling or extracting data on the web.
Using the New function of webextractor, we generate a Colibri structure with what is necessary to start extracting data.
Then we convert our rules in JSON to a Rules structure and call the Extract method sending the rules as arguments.
We obtain the output and the URL of the HTTP response, the HTTP status code, the content type of the response and the data extracted with the selectors are printed on the screen. See the documentation for the Output structure.
We execute the following command:
go mod tidy
? The go mod tidy command makes sure that the dependencies in the go.mod match the module source code.
Finally we compile and run our code in Go with the command:
go run scraper.go
Conclusion
In this post, we have learned how to perform Web Scraping in Go using the Colibri package, defining extraction rules with CSS and XPath selectors. Colibri emerges as a tool for those looking to automate web data collection in Go. Its rules-based approach and ease of use make it an attractive option for developers of all experience levels.
In short, Web Scraping in Go is a powerful and versatile technique that can be used to extract information from a wide range of websites. It is important to highlight that Web Scraping must be carried out ethically, respecting the terms and conditions of the websites and avoiding overloading their servers.
The above is the detailed content of Web Scraping a Go. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

C is more suitable for scenarios where direct control of hardware resources and high performance optimization is required, while Golang is more suitable for scenarios where rapid development and high concurrency processing are required. 1.C's advantage lies in its close to hardware characteristics and high optimization capabilities, which are suitable for high-performance needs such as game development. 2.Golang's advantage lies in its concise syntax and natural concurrency support, which is suitable for high concurrency service development.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.
