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gofeedvsphoton

MIT 41 2 2,400
58.1 thousand (month) Apr 20 2016 v1.3.0(a month ago)
10,458 3 52 MIT
1.1.9(5 years ago) Aug 24 2018 305 (month)

The gofeed library is a robust feed parser that supports parsing both RSS, Atom and JSON feeds. The library provides a universal gofeed.Parser that will parse and convert all feed types into a hybrid gofeed.Feed model.

You also have the option of utilizing the feed specific atom.Parser or rss.Parser or json.Parser parsers which generate atom. Feed , rss.Feed and json.Feed respectively.

Supported feed types:

  • RSS 0.90
  • Netscape RSS 0.91
  • Userland RSS 0.91
  • RSS 0.92
  • RSS 0.93
  • RSS 0.94
  • RSS 1.0
  • RSS 2.0
  • Atom 0.3
  • Atom 1.0
  • JSON 1.0
  • JSON 1.1

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


// parse feed from URL
fp := gofeed.NewParser()
fp.UserAgent = "MyCustomAgent 1.0"  // we can modify http client with custom headers etc.
feed, _ := fp.ParseURL("http://feeds.twit.tv/twit.xml")
fmt.Println(feed.Title)

// parse feed from string
feedData := `<rss version="2.0">
<channel>
<title>Sample Feed</title>
</channel>
</rss>`
fp := gofeed.NewParser()
feed, _ := fp.ParseString(feedData)
fmt.Println(feed.Title)

// or file
file, _ := os.Open("/path/to/a/file.xml")
defer file.Close()
fp := gofeed.NewParser()
feed, _ := fp.Parse(file)
fmt.Println(feed.Title)
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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