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gocrawlvsphoton

BSD-3-Clause 6 2 2,025
58.1 thousand (month) Nov 20 2016 (2 years ago)
10,458 3 52 MIT
1.1.9(5 years ago) Aug 24 2018 305 (month)

Gocrawl is a polite, slim and concurrent web crawler library written in Go. It is designed to be simple and easy to use, while still providing a high degree of flexibility and control over the crawling process.

One of the key features of Gocrawl is its politeness, which means that it obeys the website's robots.txt file and respects the crawl-delay specified in the file. It also takes into account the website's last modified date, if any, to avoid recrawling the same page. This helps to reduce the load on the website and prevent any potential legal issues. Gocrawl is also highly concurrent, which allows it to efficiently crawl large numbers of pages in parallel. This helps to speed up the crawling process and reduce the time required to complete the task.

The library also offers a high degree of flexibility in customizing the crawling process. It allows you to specify custom callbacks and handlers for handling different types of pages, such as error pages, redirects, and so on. This allows you to handle and process the pages as per your requirement. Additionally, Gocrawl provides various functionalities such as support for cookies, user-agent, auto-detection of links, and auto-detection of sitemaps.

Photon is a Python library for web scraping. It is designed to be lightweight and fast, and can be used to extract data from websites and web pages. Photon can extract the following data while crawling:

  • URLs (in-scope & out-of-scope)
  • URLs with parameters (example.com/gallery.php?id=2)
  • Intel (emails, social media accounts, amazon buckets etc.)
  • Files (pdf, png, xml etc.)
  • Secret keys (auth/API keys & hashes)
  • JavaScript files & Endpoints present in them
  • Strings matching custom regex pattern
  • Subdomains & DNS related data

The extracted information is saved in an organized manner or can be exported as json.

Example Use


// Only enqueue the root and paths beginning with an "a"
var rxOk = regexp.MustCompile(`http://duckduckgo\.com(/a.*)?$`)

// Create the Extender implementation, based on the gocrawl-provided DefaultExtender,
// because we don't want/need to override all methods.
type ExampleExtender struct {
    gocrawl.DefaultExtender // Will use the default implementation of all but Visit and Filter
}

// Override Visit for our need.
func (x *ExampleExtender) Visit(ctx *gocrawl.URLContext, res *http.Response, doc *goquery.Document) (interface{}, bool) {
    // Use the goquery document or res.Body to manipulate the data
    // ...

    // Return nil and true - let gocrawl find the links
    return nil, true
}

// Override Filter for our need.
func (x *ExampleExtender) Filter(ctx *gocrawl.URLContext, isVisited bool) bool {
    return !isVisited && rxOk.MatchString(ctx.NormalizedURL().String())
}

func ExampleCrawl() {
    // Set custom options
    opts := gocrawl.NewOptions(new(ExampleExtender))

    // should always set your robot name so that it looks for the most
    // specific rules possible in robots.txt.
    opts.RobotUserAgent = "Example"
    // and reflect that in the user-agent string used to make requests,
    // ideally with a link so site owners can contact you if there's an issue
    opts.UserAgent = "Mozilla/5.0 (compatible; Example/1.0; +http://example.com)"

    opts.CrawlDelay = 1 * time.Second
    opts.LogFlags = gocrawl.LogAll

    // Play nice with ddgo when running the test!
    opts.MaxVisits = 2

    // Create crawler and start at root of duckduckgo
    c := gocrawl.NewCrawlerWithOptions(opts)
    c.Run("https://duckduckgo.com/")

    // Remove "x" before Output: to activate the example (will run on go test)

    // xOutput: voluntarily fail to see log output
}
from photon import Photon

#Create a new Photon instance
ph = Photon()

#Extract data from a specific element of the website
url = "https://www.example.com"
selector = "div.main"
data = ph.get_data(url, selector)

#Print the extracted data
print(data)


#Extract data from multiple websites asynchronously
urls = ["https://www.example1.com", "https://www.example2.com"]
data = ph.get_data_async(urls)

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