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gofeedvsextruct

MIT 45 2 2,565
58.1 thousand (month) Apr 20 2016 v1.3.0(7 months ago)
847 11 53 BSD-3-Clause
Oct 27 2015 493.2 thousand (month) 0.17.0(4 months ago)

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

extruct is a library for extracting embedded metadata from HTML markup.

Currently, extruct supports:

  • W3C's HTML Microdata
  • embedded JSON-LD
  • Microformat via mf2py
  • Facebook's Open Graph
  • (experimental) RDFa via rdflib
  • Dublin Core Metadata (DC-HTML-2003)

Extruct is a brilliant data parser for schema.org marked up websites (many modern websites) and is an easy way to extract popular details like product information, company contact details etc.

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)
# retrieve HTML content
import httpx

response = httpx.get('https://webscraping.fyi/lib/python/extruct')

import extruct

all_data = extruct.extract(response.text, response.url)

# or we can extract specific metadata format by importing individuals extractors:


extractor = extruct.MicrodataExtractor()
microdata = extractor.extract(response.text)

extractor = extruct.JsonLdExtractor()
jsonld = extractor.extract(response.text) 

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